subject:(Flood forecasting )

Delft University of Technology

1. Zhang, Zixin (author). Probabilistic flood forecast model based on remote sensing information.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:176ae761-2419-4e6a-a7df-4d647b475553

► This study aims to explore the possibility of employing remote sensing images to build a probabilistic flood extent forecasting model. This model is constructed and… (more)

▼ This study aims to explore the possibility of employing remote sensing images to build a probabilistic flood extent forecasting model. This model is constructed and tested in two study areas: New Orleans and Miami. Images that recorded flooding events are first performed with segmentation method Seed Region Growing, and segmented images are classified by Maximum Likelihood classifier. Area detected as water subtracting the permanent water area is the detected flood extent. In total there are nineteen images being processed. The flood detection result is validated by flooded locations from NOAA flood reports and the news, and the accuracy is at 70.4%. The detection result, with flood conditioning factors which include precipitation, sea level, elevation, drainage capacity and distance to the water area, is the input to the probabilistic forecasting model. All inputs are standardised to a common grid system and every cell in that grid system contains a set of data. Two kinds of model structures are proposed and both models are trained with logistic regression and probit regression, both of which are the members of the Generalised Linear Model(GLM). The first kind of model structure is only tested in the New Orleans study area and the second kind of model structure is examined at both study areas. The precision of the first model structure is at 20% with a kappa value at zero. For the second model structure, over-sampling method SMOTE is used to increase the number of data points of the class 'flooded'. The highest precision of the second model structure at New Orleans is 12.6% and at Miami 23.6%, and the highest cohen's kappa values are 0.127 and 0.131 for New Orleans and Miami respectively. The first model structure actually failed in building a success model at a large portion of the study area due to limited records. For the second kind of model structure, most variables are linked to the flooding by the model correctly. The precipitation has a positive relation with flooding, especially when time effect is considered. Elevation reduces the probability of flooding. At the Miami study area where no sea dike exists the sea level has a strong positive relation with flooding. Drainage capacity used in the New Orleans study area does not show an influence on flooding, which requires modelling the intricate drainage system more accurately. In Miami study area, when the study area is confined to the seaside and Miami Beach area, the accuracy of prediction is improved, which informs that land-use type is crucial to be considered in the input. This study innovative collected information from several remote sensing images of different flood events and applied the information to build a probabilistic model, which shows that the information provided by mages could link flooding conditioning factors with flooding. It is recommended to incorporate the remote sensing technique in the flood extent forecast model in the future. Advisors/Committee Members: Morales Napoles, Oswaldo (mentor), Gaytan Aguilar, Sandra (graduation committee), Nane, Tina (graduation committee), Lanzafame, Robert (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: flood; flood forecasting; remote sensing; probabilistic model

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APA (6^th Edition):

Zhang, Z. (. (2020). Probabilistic flood forecast model based on remote sensing information. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:176ae761-2419-4e6a-a7df-4d647b475553

Chicago Manual of Style (16^th Edition):

Zhang, Zixin (author). “Probabilistic flood forecast model based on remote sensing information.” 2020. Masters Thesis, Delft University of Technology. Accessed April 23, 2021. http://resolver.tudelft.nl/uuid:176ae761-2419-4e6a-a7df-4d647b475553.

MLA Handbook (7^th Edition):

Zhang, Zixin (author). “Probabilistic flood forecast model based on remote sensing information.” 2020. Web. 23 Apr 2021.

Vancouver:

Zhang Z(. Probabilistic flood forecast model based on remote sensing information. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://resolver.tudelft.nl/uuid:176ae761-2419-4e6a-a7df-4d647b475553.

Council of Science Editors:

Zhang Z(. Probabilistic flood forecast model based on remote sensing information. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:176ae761-2419-4e6a-a7df-4d647b475553

Oregon State University

2. Campbell, Alan J. Prediction of peak flows for culvert design on small watersheds in Oregon.

Degree: MS, Forest Engineering, 1982, Oregon State University

URL: http://hdl.handle.net/1957/9484

► Forest engineers must frequently make flood frequency estimates for very small watersheds when designing culvert installations. Empirical formulae and simplified rainfall runoff models, the most… (more)

Subjects/Keywords: Flood forecasting

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APA (6^th Edition):

Campbell, A. J. (1982). Prediction of peak flows for culvert design on small watersheds in Oregon. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/9484

Chicago Manual of Style (16^th Edition):

Campbell, Alan J. “Prediction of peak flows for culvert design on small watersheds in Oregon.” 1982. Masters Thesis, Oregon State University. Accessed April 23, 2021. http://hdl.handle.net/1957/9484.

MLA Handbook (7^th Edition):

Campbell, Alan J. “Prediction of peak flows for culvert design on small watersheds in Oregon.” 1982. Web. 23 Apr 2021.

Vancouver:

Campbell AJ. Prediction of peak flows for culvert design on small watersheds in Oregon. [Internet] [Masters thesis]. Oregon State University; 1982. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/1957/9484.

Council of Science Editors:

Campbell AJ. Prediction of peak flows for culvert design on small watersheds in Oregon. [Masters Thesis]. Oregon State University; 1982. Available from: http://hdl.handle.net/1957/9484

University of Montana

3. Nolan, K. Michael. Flood hazard mapping in the Bitterroot Valley Montana.

Degree: MS, 1973, University of Montana

URL: https://scholarworks.umt.edu/etd/8159

Subjects/Keywords: Flood forecasting.

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APA (6^th Edition):

Nolan, K. M. (1973). Flood hazard mapping in the Bitterroot Valley Montana. (Masters Thesis). University of Montana. Retrieved from https://scholarworks.umt.edu/etd/8159

Chicago Manual of Style (16^th Edition):

Nolan, K Michael. “Flood hazard mapping in the Bitterroot Valley Montana.” 1973. Masters Thesis, University of Montana. Accessed April 23, 2021. https://scholarworks.umt.edu/etd/8159.

MLA Handbook (7^th Edition):

Nolan, K Michael. “Flood hazard mapping in the Bitterroot Valley Montana.” 1973. Web. 23 Apr 2021.

Vancouver:

Nolan KM. Flood hazard mapping in the Bitterroot Valley Montana. [Internet] [Masters thesis]. University of Montana; 1973. [cited 2021 Apr 23]. Available from: https://scholarworks.umt.edu/etd/8159.

Council of Science Editors:

Nolan KM. Flood hazard mapping in the Bitterroot Valley Montana. [Masters Thesis]. University of Montana; 1973. Available from: https://scholarworks.umt.edu/etd/8159

University of Texas – Austin

4. Fagan, Cassandra. Improving flood preparedness in South-Central Texas.

Degree: MSin Engineering, Environmental and water resources engineering, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/38755

► In order to prevent future tragedies, improvements in flood preparedness at the local level must be a priority. The emergency response community needs accurate and… (more)

Subjects/Keywords: Flood forecasting; Emergency response

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APA (6^th Edition):

Fagan, C. (2016). Improving flood preparedness in South-Central Texas. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/38755

Chicago Manual of Style (16^th Edition):

Fagan, Cassandra. “Improving flood preparedness in South-Central Texas.” 2016. Masters Thesis, University of Texas – Austin. Accessed April 23, 2021. http://hdl.handle.net/2152/38755.

MLA Handbook (7^th Edition):

Fagan, Cassandra. “Improving flood preparedness in South-Central Texas.” 2016. Web. 23 Apr 2021.

Vancouver:

Fagan C. Improving flood preparedness in South-Central Texas. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2152/38755.

Council of Science Editors:

Fagan C. Improving flood preparedness in South-Central Texas. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/38755

University of Exeter

5. Iqbal, Arshan. Radar rainfall forecasting for sewer flood modelling to support decision-making in sewer network operations.

Degree: Thesis (Eng.D.), 2017, University of Exeter

URL: http://hdl.handle.net/10871/32565

► Radar quantitative precipitation estimates (QPEs) and forecasts (QPFs) are useful in urban hydrology because they can provide real time or forecasted rainfall information for flood… (more)

▼ Radar quantitative precipitation estimates (QPEs) and forecasts (QPFs) are useful in urban hydrology because they can provide real time or forecasted rainfall information for flood forecasting/warning systems. Sewer flooding is a disruptive problem in England and Wales. Wastewater companies have reported that more than 4,700 customers are at risk of internal sewer flooding. Currently in the UK, mitigating sewer flooding before it occurs is difficult to achieve operationally because of the lack of accurate and specific data. As radar rainfall data is available from the UK Met Office, particularly radar QPFs with a maximum lead time of 6 hours, these datasets could be used to predict sewer flooding up to this maximum lead time. This research investigates the uses of radar Quantitative Precipitation Forecasts and Quantitative Precipitation Estimates to support short term decisions of sewer network operation in reducing the risk of sewer flooding. It is achieved by increasing the accuracy of deterministic radar quantitative precipitation forecasts, developing on probabilistic radar quantitative precipitation forecasts, and using spatial variability of radar quantitative precipitation estimates to estimate flood extents in sewer catchments from the North East of England. Radar rainfall data used in the case study is also sourced from this region of size 184 km x 140 km. The temporal and spatial resolutions of rainfall forecasts are important to producing accurate hydrological output. Hence, increasing these resolutions is identified to improving deterministic radar quantitative precipitation forecasts for hydrological applications. An interpolation method involving temporal interpolation by optical flow and spatial interpolation by Universal Kriging is proposed to increase the resolution of radar QPF from a native resolution of 15 mins and 2-km to 5 mins and 1-km. Key results are that the interpolation method proposed outperforms traditional interpolation approaches including simple linear temporal interpolation and spatial interpolation by inverse distance weighting. Probabilistic radar quantitative precipitation forecasts provide information of the uncertainty of the radar deterministic forecasts. However, probabilistic approaches have limitations in that they may not accurately depict the uncertainty range for different rainfall types. Hence, postprocessing probabilistic quantitative precipitation forecasts are required. A Bayesian postprocessing approach is introduced to postprocess probability distributions produced from an existing stochastic method using the latest radar QPE. Furthermore, non-normal distributions in the stochastic model are developed using gamma based generalised linear models. Key successes of this approach are that the postprocessed probabilistic QPFs are more accurate than the pre-processed QPFs in both cool and warm seasons of a year. Furthermore, the postprocessed QPFs of all the verification events better correlate with their QPE, thus improving the temporal structure. Spatial variability of…

Subjects/Keywords: 551.63; Radar rainfall; Flood forecasting; Sewer flooding

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APA (6^th Edition):

Iqbal, A. (2017). Radar rainfall forecasting for sewer flood modelling to support decision-making in sewer network operations. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/32565

Chicago Manual of Style (16^th Edition):

Iqbal, Arshan. “Radar rainfall forecasting for sewer flood modelling to support decision-making in sewer network operations.” 2017. Doctoral Dissertation, University of Exeter. Accessed April 23, 2021. http://hdl.handle.net/10871/32565.

MLA Handbook (7^th Edition):

Iqbal, Arshan. “Radar rainfall forecasting for sewer flood modelling to support decision-making in sewer network operations.” 2017. Web. 23 Apr 2021.

Vancouver:

Iqbal A. Radar rainfall forecasting for sewer flood modelling to support decision-making in sewer network operations. [Internet] [Doctoral dissertation]. University of Exeter; 2017. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10871/32565.

Council of Science Editors:

Iqbal A. Radar rainfall forecasting for sewer flood modelling to support decision-making in sewer network operations. [Doctoral Dissertation]. University of Exeter; 2017. Available from: http://hdl.handle.net/10871/32565

University of Arizona

6. Zevin, Susan Faye,1949-. A probabilistic approach to flash flood forecasting .

Degree: 1986, University of Arizona

URL: http://hdl.handle.net/10150/191119

► A major area targeted for hydrometeorological forecast service improvements is in flash flood forecasting. Verification data show that general public service products of flash flood… (more)

Subjects/Keywords: Hydrology.; Flood forecasting.

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APA (6^th Edition):

Zevin, S. F. (1986). A probabilistic approach to flash flood forecasting . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/191119

Chicago Manual of Style (16^th Edition):

Zevin, Susan Faye,1949-. “A probabilistic approach to flash flood forecasting .” 1986. Doctoral Dissertation, University of Arizona. Accessed April 23, 2021. http://hdl.handle.net/10150/191119.

MLA Handbook (7^th Edition):

Zevin, Susan Faye,1949-. “A probabilistic approach to flash flood forecasting .” 1986. Web. 23 Apr 2021.

Vancouver:

Zevin SF. A probabilistic approach to flash flood forecasting . [Internet] [Doctoral dissertation]. University of Arizona; 1986. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10150/191119.

Council of Science Editors:

Zevin SF. A probabilistic approach to flash flood forecasting . [Doctoral Dissertation]. University of Arizona; 1986. Available from: http://hdl.handle.net/10150/191119

University of Oklahoma

7. Khan, Sadiq. SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS.

Degree: PhD, 2011, University of Oklahoma

URL: http://hdl.handle.net/11244/319415

► Implementation of a flood prediction system can potentially help mitigate flood induced hazards. Such a system typically requires implementation and calibration of a hydrologic model… (more)

Subjects/Keywords: Artificial satellites in remote sensing; Flood forecasting

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APA (6^th Edition):

Khan, S. (2011). SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319415

Chicago Manual of Style (16^th Edition):

Khan, Sadiq. “SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS.” 2011. Doctoral Dissertation, University of Oklahoma. Accessed April 23, 2021. http://hdl.handle.net/11244/319415.

MLA Handbook (7^th Edition):

Khan, Sadiq. “SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS.” 2011. Web. 23 Apr 2021.

Vancouver:

Khan S. SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2011. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11244/319415.

Council of Science Editors:

Khan S. SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS. [Doctoral Dissertation]. University of Oklahoma; 2011. Available from: http://hdl.handle.net/11244/319415

University of Oklahoma

8. Khan, Sadiq. SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS.

Degree: PhD, 2011, University of Oklahoma

URL: http://hdl.handle.net/11244/318464

► Implementation of a flood prediction system can potentially help mitigate flood induced hazards. Such a system typically requires implementation and calibration of a hydrologic model… (more)

Subjects/Keywords: Artificial satellites in remote sensing; Flood forecasting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Khan, S. (2011). SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318464

Chicago Manual of Style (16^th Edition):

Khan, Sadiq. “SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS.” 2011. Doctoral Dissertation, University of Oklahoma. Accessed April 23, 2021. http://hdl.handle.net/11244/318464.

MLA Handbook (7^th Edition):

Khan, Sadiq. “SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS.” 2011. Web. 23 Apr 2021.

Vancouver:

Khan S. SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2011. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11244/318464.

Council of Science Editors:

Khan S. SATELLITE REMOTE SENSING AND HYDROLOGIC MODELING FOR FLOOD MONITORING IN DATA POOR ENVIRONMENTS. [Doctoral Dissertation]. University of Oklahoma; 2011. Available from: http://hdl.handle.net/11244/318464

University of Melbourne

9. McKay, J. M. Public information as a component of a residential flood damage reduction policy.

Degree: 1983, University of Melbourne

URL: http://hdl.handle.net/11343/229508

► Public information about flood hazard has often been cited as the means to ensure community acceptance of the selected flood damage reduction policy. Information is… (more)

▼ Public information about flood hazard has often been cited as the means to ensure community acceptance of the selected flood damage reduction policy. Information is generally provided to the public through the mass media but this is often supplemented by door to door delivery of information in the form of a flood inundation map. This study evaluated the impact of both methods of delivery of information to the public. The results suggested that irrespective of the recency and frequency of a major flood, the mass media exhibited limited interest in the issue of the availability flood hazard information. The content of the mass media reports in Adelaide emphasised the structural flood mitigation measures and the majority neglected to mention that non structural measures had been incorporated in the policy. A favourable consequence of this emphasis in the Adelaide media reports was, the abatement of a public debate over the environmental effect of the river clearing works. Interviews were conducted with floodplain and non floodplain respondents in Adelaide before and after the media reporting and delivery of the relevant flood inundation map. These interviews included an assessment of independent characteristics of respondents and two sets of attitude questions called response to the flood inundation map and response to flood risk. Positive changes in response - to flood risk were considered to indicate a positive attitude to structural and non structural flood damage reduction measures. For the floodplain and non floodplain respondents given both interviews and the map, one common change in response to flood risk occurred. This was that respondents shifted attitude from actively seeking flood risk information to indicate that they would not seek this information if moving to another house in Adelaide. Floodplain respondents who did not exhibit this change were described by receipt of a map which showed that the floodplain areas were large in relation to the flood free areas. This result suggested, that format of the map is critical and it is important to manipulate the scale of the map to make the floodplain areas appear small in relation to the flood free areas. Comparisons of groups of respondents were performed in order to determine if - awareness of floodplain location - proximity to the River Torrens - the pre map release interview or - delivery of the relevant map had an impact on response to the flood inundation map and response to flood risk. The first two comparisons were performed using respondent groups who were given a detailed interview prior to the media release and delivery of the relevant map. The results suggested that, with this treatment, floodplain respondents tended to become more accepting of the risk than their non floodplain neighbours. The proximity of the floodplain respondent to the source of the hazard (in this case the River Torrens) was also demonstrated to have an impact on acceptability of the risk with those closer to the River being less inclined to accept the risk. Upon closer…

Subjects/Keywords: Flood damage prevention; Flood forecasting

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APA (6^th Edition):

McKay, J. M. (1983). Public information as a component of a residential flood damage reduction policy. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/229508

Chicago Manual of Style (16^th Edition):

McKay, J M. “Public information as a component of a residential flood damage reduction policy.” 1983. Doctoral Dissertation, University of Melbourne. Accessed April 23, 2021. http://hdl.handle.net/11343/229508.

MLA Handbook (7^th Edition):

McKay, J M. “Public information as a component of a residential flood damage reduction policy.” 1983. Web. 23 Apr 2021.

Vancouver:

McKay JM. Public information as a component of a residential flood damage reduction policy. [Internet] [Doctoral dissertation]. University of Melbourne; 1983. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11343/229508.

Council of Science Editors:

McKay JM. Public information as a component of a residential flood damage reduction policy. [Doctoral Dissertation]. University of Melbourne; 1983. Available from: http://hdl.handle.net/11343/229508

University of British Columbia

10. Fayegh, A. David. Flood advisor : an expert system for flood estimation.

Degree: Master of Applied Science - MASc, Civil Engineering, 1985, University of British Columbia

URL: http://hdl.handle.net/2429/25069

► Expert computer programs have recently emerged from research on artificial intelligence as a practical problem-solving tool. An expert system is a knowledge-based program that imitates… (more)

▼ Expert computer programs have recently emerged from research on artificial intelligence as a practical problem-solving tool. An expert system is a knowledge-based program that imitates the problem-solving behaviour of a human expert to solve complex real-world problems. While conventional programs organize knowledge on two levels: data and program, most expert programs organize knowledge on three levels: data, knowledge base, and control. Thus, what distinguishes such a system from conventional programs is that in most expert systems the problem solving model is treated as a separate entity rather than appearing only implicitly as part of the coding of the program. The purpose of this thesis is twofold. First, it is intended to demonstrate how domain-specific problem-solving knowledge may be represented in computer memory by using the frame representation technique. Secondly, it is intended to simulate a typical flood estimation situation, from the point-of-view of an expert engineer. A frame network was developed to represent, in data structures, the declarative, procedural, and heuristic knowledge necessary for solving a typical flow estimation problem. The control strategy of this computer-based consultant (FLOOD ADVISOR) relies on the concept that reasoning is dominated by a recognition process which is used to compare new instances of a given phenomena to the stereotyped conceptual framework used in understanding that phenomena. The primary purpose of the FLOOD ADVISOR is to provide interactive advice about the flow estimation technique most suitable to one of five generalized real-world situations. These generalizations are based primarily on the type and quantity of the data and resources available to the engineer. They are used to demonstrate how problem solving knowledge may be used to interactively assist the engineer in making difficult decisions. The expertise represented in this prototype system is far from complete and the recommended solution procedures for each generalized case are in their infancy. However, modifications may be easily implemented as the domain-specific expert knowledge becomes available. It is concluded that over the long term, this type of approach for building problem-solving models of the real world are computationally cheaper and easier to develop and maintain than conventional computer programs.

Subjects/Keywords: Flood forecasting; Flood control

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APA (6^th Edition):

Fayegh, A. D. (1985). Flood advisor : an expert system for flood estimation. (Masters Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/25069

Chicago Manual of Style (16^th Edition):

Fayegh, A David. “Flood advisor : an expert system for flood estimation.” 1985. Masters Thesis, University of British Columbia. Accessed April 23, 2021. http://hdl.handle.net/2429/25069.

MLA Handbook (7^th Edition):

Fayegh, A David. “Flood advisor : an expert system for flood estimation.” 1985. Web. 23 Apr 2021.

Vancouver:

Fayegh AD. Flood advisor : an expert system for flood estimation. [Internet] [Masters thesis]. University of British Columbia; 1985. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2429/25069.

Council of Science Editors:

Fayegh AD. Flood advisor : an expert system for flood estimation. [Masters Thesis]. University of British Columbia; 1985. Available from: http://hdl.handle.net/2429/25069

Macquarie University

11. Box, Pamela. What does 'shared responsibility' mean for flood risk management in Australia?.

Degree: 2014, Macquarie University

URL: http://hdl.handle.net/1959.14/1128772

►

Theoretical thesis.

Chapter 1. Introduction – Chapter 2. Flood risk management - a review of key approaches – Chapter 3. How can residents know their… (more)

▼

Theoretical thesis.

Chapter 1. Introduction – Chapter 2. Flood risk management - a review of key approaches – Chapter 3. How can residents know their flood risk? A review of online flood information availability in Australia – Chapter 4. Flood risk in Australia: Whose responsibility is it anyway? – Chapter 5. Shared responsibility and social vulnerability in the 2011 Brisbane flood – Chapter 6. Residents' attitudes to flood hazards in three Australian communities : the role of socio-economic factors and risk perception in household preparedness – Chapter 7. Conclusion.

Floods are one of the most common natural hazards experienced in Australia. Approximately 250,000 properties in Australia are located within the 1 in 100 year flood zone. Floods are the costliest natural hazard, and have caused over 2,000 deaths. As population in flood-prone areas increases, and considering the potential impacts of climate change on flood frequency, preparing for floods will become increasingly important. Extensive flooding in recent years, particularly during the 2010-2011 summer, has again made flood risk an important topic of research. The concept of shared responsibility, that hazard preparedness is the job of all sectors of society and government, has been a central focus of post-disaster inquiries and government hazard strategies. This thesis examines how shared responsibility applies to flood risk management.

Four key stakeholders were selected for this research: local councils, emergency services (the SES), the insurance industry, and residents. These stakeholders were selected as councils and emergency services are directly involved in flood planning and response, insurance has only recently become widely available in Australia, and residents are the people who experience floods on-the-ground.

This thesis asks what gaps exist in flood risk management in Australia and what can be learnt from the recent floods to better implement shared resposnsibility. Four case studies are selected: Brisbane and Emerald in Queensland, both severely flooded during the 2010-2011 floods; Benalla in Victoria, and Dora Creek in New South Wales. Interviews were conducted with council, emergency service, and insurance representatives, examining their perceptions of their own and each others' roles and responsibilities, as well as their thoughts on individuals' responsibilities in preparing for flood. The influence of socioeconomic factors of age, gender, and income, as well as flood awareness and flood experience, on residents' thoughts on flood risk and insurance are also examined.

Better understanding of the roles and responsibilities of each stakeholder is needed to improve flood risk management. This thesis finds that residents often expect more of official agencies such as council and emergency services, and are uncertain about personal preparation. For responsibility in flood risk management to be truly shared, individuals need to be encouraged to be more involved in their own flood preparedness.

1 online…

Advisors/Committee Members: Macquarie University. Department of Environment and Geography.

Subjects/Keywords: Floods – Australia – Risk assessment; Flood control – Australia; Flood damage prevention – Australia; Flood forecasting – Australia; flood; risk perception; shared responsibility; awareness

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APA (6^th Edition):

Box, P. (2014). What does 'shared responsibility' mean for flood risk management in Australia?. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/1128772

Chicago Manual of Style (16^th Edition):

Box, Pamela. “What does 'shared responsibility' mean for flood risk management in Australia?.” 2014. Doctoral Dissertation, Macquarie University. Accessed April 23, 2021. http://hdl.handle.net/1959.14/1128772.

MLA Handbook (7^th Edition):

Box, Pamela. “What does 'shared responsibility' mean for flood risk management in Australia?.” 2014. Web. 23 Apr 2021.

Vancouver:

Box P. What does 'shared responsibility' mean for flood risk management in Australia?. [Internet] [Doctoral dissertation]. Macquarie University; 2014. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/1959.14/1128772.

Council of Science Editors:

Box P. What does 'shared responsibility' mean for flood risk management in Australia?. [Doctoral Dissertation]. Macquarie University; 2014. Available from: http://hdl.handle.net/1959.14/1128772

12. Siqueira, Vinícius Alencar. Previsão de cheias por conjunto em curto a médio prazo: bacia do Taquari-Antas/RS.

Degree: 2015, Brazil

URL: http://hdl.handle.net/10183/147137

► A previsão hidrológica possibilita a identificação antecipada de eventos de cheia potencialmente causadores de inundação, o que é de grande importância para a atuação de… (more)

▼ A previsão hidrológica possibilita a identificação antecipada de eventos de cheia potencialmente causadores de inundação, o que é de grande importância para a atuação de entidades como a Defesa Civil. Quando se deseja estender a antecedência no tempo em relação a estes eventos, principalmente nos casos onde a bacia de interesse é relativamente rápida, torna-se necessária a incorporação de previsões quantitativas de precipitação (QPF) na modelagem hidrológica, as quais podem ser obtidas a partir de modelos numéricos de previsão do tempo. Entretanto, a falta de acurácia atribuída a estas previsões de chuva, dadas de forma determinística, vem promovendo sua substituição por sistemas de previsão meteorológica por conjunto (EPS - Ensemble Prediction Systems), cuja finalidade é a geração de possíveis estados futuros da atmosfera para considerar as incertezas associadas ao seu estado inicial e às deficiências na representação física dos modelos de previsão do tempo. Neste contexto, o presente estudo teve por objetivo avaliar uma metodologia de previsão de cheias por conjunto na bacia do Taquari-Antas/RS até a cidade de Encantado (19.000 km²), localizada na região Sul do Brasil. Para tanto, foi utilizado o modelo hidrológico MGB-IPH acoplado a diferentes sistemas de previsão, sendo eles: (i) EPS Regional ETA, de curto prazo (até 72 horas) com 5 membros de diferentes parametrizações; (ii) EPS Global ECMWF de médio prazo (até 10 dias) com 50 membros de condições iniciais perturbadas, incluindo perturbação estocástica nos parâmetros de ajuste do modelo e; (iii) Previsão Determinística do Modelo Regional ETA (até 7 dias). A avaliação das previsões consistiu em dois hindcastings distintos, envolvendo uma análise visual de eventos singulares ocorridos em 06/06/2014 e 21/07/2011 além de uma análise estatística no período de Mar/2014 - Nov/2014. Durante a análise visual foi possível identificar, a partir de antecedências de 5 a 6 dias, uma persistência na previsão dada pelo crescente número de membros do conjunto de médio prazo (ECMWF) com superação dos limiares de referência, na medida em que se aproximavam os eventos de cheia. Apesar da grande incerteza na magnitude das previsões hidrológicas para o conjunto de curto prazo, a vazão máxima foi relativamente bem prevista por pelo menos 1 membro em quase todas as antecedências, enquanto que a previsão do timing dos eventos foi considerada de boa confiabilidade. Durante a avaliação estatística foi possível notar uma falta de espalhamento nos conjuntos, com tendência de subestimativa de acordo com o aumento da antecedência. Em uma comparação com previsões determinísticas, as previsões por conjunto demonstraram maior acurácia principalmente até 72 horas de antecedência, com destaque para a maior probabilidade de detecção dos limiares de referência e manutenção de falso alarme a níveis reduzidos. Além disso, verificou-se também que a agregação de previsões efetuadas em tempo anterior naquelas atuais acarreta em ligeira ampliação do espalhamento do conjunto e maiores probabilidades de… Advisors/Committee Members: Collischonn, Walter.

Subjects/Keywords: Previsao de cheias; Previsao hidrologica; Modelos hidrológicos; Ensemble flood forecasting; Hydrological forecasting; Short- to medium- range; Flood warning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Siqueira, V. A. (2015). Previsão de cheias por conjunto em curto a médio prazo: bacia do Taquari-Antas/RS. (Masters Thesis). Brazil. Retrieved from http://hdl.handle.net/10183/147137

Chicago Manual of Style (16^th Edition):

Siqueira, Vinícius Alencar. “Previsão de cheias por conjunto em curto a médio prazo: bacia do Taquari-Antas/RS.” 2015. Masters Thesis, Brazil. Accessed April 23, 2021. http://hdl.handle.net/10183/147137.

MLA Handbook (7^th Edition):

Siqueira, Vinícius Alencar. “Previsão de cheias por conjunto em curto a médio prazo: bacia do Taquari-Antas/RS.” 2015. Web. 23 Apr 2021.

Vancouver:

Siqueira VA. Previsão de cheias por conjunto em curto a médio prazo: bacia do Taquari-Antas/RS. [Internet] [Masters thesis]. Brazil; 2015. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10183/147137.

Council of Science Editors:

Siqueira VA. Previsão de cheias por conjunto em curto a médio prazo: bacia do Taquari-Antas/RS. [Masters Thesis]. Brazil; 2015. Available from: http://hdl.handle.net/10183/147137

Stellenbosch University

13. Makakole, Billy T. J. Revision of the regional maximum flood calculation method for Lesotho.

Degree: MEng, 2014, Stellenbosch University

URL: http://hdl.handle.net/10019.1/95935

►

ENGLISH ABSTRACT: The Francou and Rodier (1967) empirical approach uses the original concept of envelope curves for the definition of the regional maximum flood (RMF).… (more)

▼

ENGLISH ABSTRACT: The Francou and Rodier (1967) empirical approach uses the original concept of envelope curves for the definition of the regional maximum flood (RMF). Kovacs (1980) adopted the Francou and Rodier empirical flood calculation method and applied it to 355 catchments in South Africa. He revised his study in 1988 to also include the southern portions of the Southern Africa subcontinent. No method other than the Francou and Rodier empirical flood approach in the reviewed literature was found to be suitable for the purpose of this study. Therefore the Francou and Rodier empirical approach, as applied by Kovacs in 1988, was reapplied and used in this study to update the RMF for Lesotho. Maximum recorded flood peaks were derived from annual maximum time series and an up to date catalogue of flood peaks for 29 catchments was compiled for Lesotho. The maximum recorded flood peaks were then plotted on the logarithmic scale against their corresponding catchment areas. There are 3 major river systems that divide Lesotho into hydrologically homogenous basins. Envelope curves were drawn on the upper bound of the cloud of plotted points for these 3 river basins. These envelope curves represent the maximum flood peaks that can reasonably be expected to occur within the respective river basins in Lesotho.

AFRIKAANSE OPSOMMING: Francou en Rodier (1967) se empiriese benadering maak gebruik van die oorspronklike konsep van boonste limiet kurwes vir die definisie van die streeks maksimum vloed (SMV). Kovacs (1980) het die Francou en Rodier empiriese vloed berekening metode toegepas op 355 opvanggebiede in Suid-Afrika. Hy hersien sy studie in 1988 om ook die suidelike gedeeltes van die Suider-Afrikaanse subkontinent in te sluit. Geen ander metode as die Francou en Rodier empiriese vloed benadering is in die literatuur gevind wat as geskik aanvaar kan word vir die doel van hierdie studie nie. Daarom is die Francou en Rodier empiriese benadering, soos toegepas deur Kovacs in 1988, weer in hierdie studie toegepas en gebruik om die SMV metode vir Lesotho op te dateer. Maksimum aangetekende vloedpieke is verkry vanuit jaarlikse maksimum tyd-reekse en ŉ opgedateerde katalogus van vloedpieke vir 29 opvanggebiede saamgestel vir Lesotho. Die maksimum aangetekende vloedpieke is grafies aangetoon op logaritmiese skaal teenoor hul opvanggebiede. Daar is 3 groot rivierstelsels wat Lesotho in hidrologiese homogene gebiede verdeel. Boonste limiet kurwes is opgestel om die boonste grens van die gestipte punte vir hierdie 3 gebiede aan te toon. Hierdie krommes verteenwoordig die maksimum vloedpieke wat redelikerwys verwag kan word om binne die onderskeie rivierstelsels in Lesotho voor te kan kom.

Advisors/Committee Members: Du Plessis, J. A., Stellenbosch University. Faculty of Engineering. Department of Civil Engineering..

Subjects/Keywords: Flood forecasting – Lesotho – Mathematical models; Francou and Rodier empirical flood calculation method; Floods – Lesotho; Regional maximum flood calculation; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Makakole, B. T. J. (2014). Revision of the regional maximum flood calculation method for Lesotho. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/95935

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Makakole, Billy T J. “Revision of the regional maximum flood calculation method for Lesotho.” 2014. Thesis, Stellenbosch University. Accessed April 23, 2021. http://hdl.handle.net/10019.1/95935.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Makakole, Billy T J. “Revision of the regional maximum flood calculation method for Lesotho.” 2014. Web. 23 Apr 2021.

Vancouver:

Makakole BTJ. Revision of the regional maximum flood calculation method for Lesotho. [Internet] [Thesis]. Stellenbosch University; 2014. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10019.1/95935.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Makakole BTJ. Revision of the regional maximum flood calculation method for Lesotho. [Thesis]. Stellenbosch University; 2014. Available from: http://hdl.handle.net/10019.1/95935

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Iowa

14. Ayalew, Tibebu Bekele. Physical basis of the power-law spatial scaling structure of peak discharges.

Degree: PhD, Civil and Environmental Engineering, 2015, University of Iowa

URL: https://ir.uiowa.edu/etd/1537

► Key theoretical and empirical results from the past two decades have established that peak discharges exhibit power-law, or scaling, relation with drainage area across… (more)

▼ Key theoretical and empirical results from the past two decades have established that peak discharges exhibit power-law, or scaling, relation with drainage area across multiple scales of time and space. This relationship takes the form Q(A)= $#945;A^Θ where Q is peak discharge, A is the drainage area, Θ is the flood scaling exponent, and α is the intercept. Motivated by seminal empirical studies that show that the flood scaling parameters α and Θ change from one rainfall-runoff event to another, this dissertation explores how certain rainfall and catchment physical properties control the flood scaling exponent and intercept at the rainfall-runoff event scale using a combination of extensive numerical simulation experiments and analysis of observational data from the Iowa River basin, Iowa. Results show that Θ generally decreases with increasing values of rainfall intensity, runoff coefficient, and hillslope overland flow velocity, whereas its value generally increases with increasing rainfall duration. Moreover, while the flood scaling intercept is primarily controlled by the excess rainfall intensity, it increases with increasing runoff coefficient and hillslope overland flow velocity. Results also show that the temporal intermittency structure of rainfall has a significant effect on the scaling structure of peak discharges. These results highlight the fact that the flood scaling parameters are able to be estimated from the aforementioned catchment rainfall and physical variables, which can be measured either directly or indirectly using in situ or remote sensing techniques. The dissertation also proposes and demonstrates a new flood forecasting framework that is based on the scaling theory of floods. The results of the study mark a step forward to provide a physically meaningful framework for regionalization of flood frequencies and hence to solve the long standing hydrologic problem of flood prediction in ungauged basins. Advisors/Committee Members: Krajewski, Witold F. (supervisor).

Subjects/Keywords: publicabstract; flood forecasting; flood frequency; Peak discharge; regulated flood frequency; river network; scaling invariance; Civil and Environmental Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ayalew, T. B. (2015). Physical basis of the power-law spatial scaling structure of peak discharges. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/1537

Chicago Manual of Style (16^th Edition):

Ayalew, Tibebu Bekele. “Physical basis of the power-law spatial scaling structure of peak discharges.” 2015. Doctoral Dissertation, University of Iowa. Accessed April 23, 2021. https://ir.uiowa.edu/etd/1537.

MLA Handbook (7^th Edition):

Ayalew, Tibebu Bekele. “Physical basis of the power-law spatial scaling structure of peak discharges.” 2015. Web. 23 Apr 2021.

Vancouver:

Ayalew TB. Physical basis of the power-law spatial scaling structure of peak discharges. [Internet] [Doctoral dissertation]. University of Iowa; 2015. [cited 2021 Apr 23]. Available from: https://ir.uiowa.edu/etd/1537.

Council of Science Editors:

Ayalew TB. Physical basis of the power-law spatial scaling structure of peak discharges. [Doctoral Dissertation]. University of Iowa; 2015. Available from: https://ir.uiowa.edu/etd/1537

University of Alberta

15. Wojtiw, L. Estimation of probable maximum flood for Alberta river basins.

Degree: University of Alberta

URL: https://era.library.ualberta.ca/files/bp8418n22p

Subjects/Keywords: Hydrological forecasting – Alberta; Flood forecasting – Alberta

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wojtiw, L. (n.d.). Estimation of probable maximum flood for Alberta river basins. (Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/bp8418n22p

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wojtiw, L. “Estimation of probable maximum flood for Alberta river basins.” Thesis, University of Alberta. Accessed April 23, 2021. https://era.library.ualberta.ca/files/bp8418n22p.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wojtiw, L. “Estimation of probable maximum flood for Alberta river basins.” Web. 23 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Wojtiw L. Estimation of probable maximum flood for Alberta river basins. [Internet] [Thesis]. University of Alberta; [cited 2021 Apr 23]. Available from: https://era.library.ualberta.ca/files/bp8418n22p.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Wojtiw L. Estimation of probable maximum flood for Alberta river basins. [Thesis]. University of Alberta; Available from: https://era.library.ualberta.ca/files/bp8418n22p

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

University of Arizona

16. Karlsson, Magnus Sven. NEAREST NEIGHBOR REGRESSION ESTIMATORS IN RAINFALL-RUNOFF FORECASTING .

Degree: 1985, University of Arizona

URL: http://hdl.handle.net/10150/282088

► The subject of this study is rainfall-runoff forecasting and flood warning. Denote by (X(t),Y(t)) a sequence of equally spaced bivariate random variables representing rainfall and… (more)

▼ The subject of this study is rainfall-runoff forecasting and flood warning. Denote by (X(t),Y(t)) a sequence of equally spaced bivariate random variables representing rainfall and runoff, respectively. A flood is said to occur at time period (n + 1) if Y(n + 1) > T where T is a fixed number. The main task of flood warning is that of deciding whether or not to issue a flood alarm for the time period n + 1 on the basis of the past observations of rainfall and runoff up to and including time n. With each decision, warning or no warning, there is a certain probability of an error (false alarm or no alarm). Using notions from classical decision theory, the optimal solution is the decision that minimizes Bayes risk. In Chapter 1 a more precise definition of flood warning will be given. A critical review (Chapter 2) of classical methods for forecasting used in hydrology reveals that these methods are not adequate for flood warning and similar types of decision problems unless certain Gaussian assumptions are satisfied. The purpose of this study is to investigate the application of a nonparametric technique referred to as the k-nearest neighbor (k-NN) methods to flood warning and least squares forecasting. The motivation of this method stems from recent results in statistics which extends nonparametric methods for inferring regression functions in a time series setting. Assuming that the rainfall-runoff process can be cast in the framework of Markov processes then, with some additional assumptions, the k-NN technique will provide estimates that converge with an optimal rate to the correct decision function. With this in mind, and assuming that our assumptions are valid, then we can claim that this method will, as the historical record grows, provide the best possible estimate in the sense that no other method can do better. A detailed description of the k-NN estmator is provided along with a scheme for calibration. In the final chapters, the forecasts of this new method are compared with the forecasts of several other methods commonly used in hydrology, on both real and simulated data. Advisors/Committee Members: Yakowitz, Sidney (advisor).

Subjects/Keywords: Rain and rainfall – Forecasting.; Flood forecasting.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Karlsson, M. S. (1985). NEAREST NEIGHBOR REGRESSION ESTIMATORS IN RAINFALL-RUNOFF FORECASTING . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/282088

Chicago Manual of Style (16^th Edition):

Karlsson, Magnus Sven. “NEAREST NEIGHBOR REGRESSION ESTIMATORS IN RAINFALL-RUNOFF FORECASTING .” 1985. Doctoral Dissertation, University of Arizona. Accessed April 23, 2021. http://hdl.handle.net/10150/282088.

MLA Handbook (7^th Edition):

Karlsson, Magnus Sven. “NEAREST NEIGHBOR REGRESSION ESTIMATORS IN RAINFALL-RUNOFF FORECASTING .” 1985. Web. 23 Apr 2021.

Vancouver:

Karlsson MS. NEAREST NEIGHBOR REGRESSION ESTIMATORS IN RAINFALL-RUNOFF FORECASTING . [Internet] [Doctoral dissertation]. University of Arizona; 1985. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10150/282088.

Council of Science Editors:

Karlsson MS. NEAREST NEIGHBOR REGRESSION ESTIMATORS IN RAINFALL-RUNOFF FORECASTING . [Doctoral Dissertation]. University of Arizona; 1985. Available from: http://hdl.handle.net/10150/282088

17. Meller, Adalberto. Previsão de cheias por conjunto em curto prazo.

Degree: 2012, Brazil

URL: http://hdl.handle.net/10183/70057

► A previsão e emissão de alertas antecipados constituem um dos principais elementos na prevenção dos impactos ocasionados por eventos de cheias. Uma das formas utilizadas… (more)

▼ A previsão e emissão de alertas antecipados constituem um dos principais elementos na prevenção dos impactos ocasionados por eventos de cheias. Uma das formas utilizadas para se obter uma ampliação do horizonte de previsão é através do uso da modelagem chuva-vazão associada à previsão de precipitação, tipicamente derivada de modelos meteorológicos. A precipitação, no entanto, é uma das variáveis que impõe maior dificuldade na previsão meteorológica, sendo considerada uma das principais fontes de incerteza nos resultados da previsão de cheias. A previsão por conjunto é uma técnica originalmente desenvolvida nas ciências atmosféricas e procura explorar as incertezas associadas às condições iniciais e/ou deficiências na estrutura dos modelos meteorológicos com intuito de melhorar sua previsibilidade. A partir de diferentes modelos meteorológicos ou de diferentes condições iniciais de um único modelo, são gerados um conjunto de previsões que representam possíveis trajetórias dos processos atmosféricos ao longo do horizonte de previsão. Pesquisas recentes, principalmente na Europa e Estados Unidos, têm mostrado resultados promissores do acoplamento de previsões meteorológicas por conjunto à modelos hidrológicos para realizar previsões de cheia. Essa pesquisa trata da avaliação do benefício da previsão de cheias por conjunto em curto prazo, em uma bacia de médio porte, utilizando dados e de ferramentas para previsão de vazões disponíveis em modo operacional no Brasil. Como estudo de caso foi utilizada a bacia do Rio Paraopeba (12.150km²), de clima tipicamente tropical, localizada na região sudeste do Brasil. A metodologia proposta para geração das previsões hidrológicas utilizou o modelo hidrológico MGB-IPH alimentado por um conjunto previsões de precipitação de diferentes modelos, com diferentes condições iniciais e parametrizações, dando origem a distintos cenários de previsão de vazões. Como parâmetro de referência na avaliação do desempenho das previsões por conjunto foi utilizada uma previsão hidrológica determinística única, baseada em uma previsão de precipitação obtida da combinação ótima de saídas de diversos modelos meteorológicos. As previsões foram realizadas retrospectivamente no período entre ago/2008 e mai/2011, sendo analisadas durante o período chuvoso dos anos hidrológicos (out-abr). Os resultados das previsões de cheia por conjunto foram avaliados através de uma representação determinística, considerando a média dos membros do conjunto, assim como através de uma representação probabilística, considerando todos os membros, através de medidas de desempenho específicas para esse fim. Na avaliação determinística, a média do conjunto hidrológico apresentou resultados similares aos obtido com a previsão determinística de referência, embora tenha apresentado benefício significativo em relação à maior parte dos membros do conjunto. A avaliação das previsões de cheia por conjunto, por sua vez, mostrou a existência de uma superestimativa e de um subespalhamento dos membros em relação às observações, sobretudo nos… Advisors/Committee Members: Collischonn, Walter.

Subjects/Keywords: Previsao de cheias; Previsao de vazoes; Previsão hidroclimática; Precipitação; Modelos hidrológicos; Ensemble flood forecasting; Streamflow forecasting; Quantitative precipitation forecasting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Meller, A. (2012). Previsão de cheias por conjunto em curto prazo. (Doctoral Dissertation). Brazil. Retrieved from http://hdl.handle.net/10183/70057

Chicago Manual of Style (16^th Edition):

Meller, Adalberto. “Previsão de cheias por conjunto em curto prazo.” 2012. Doctoral Dissertation, Brazil. Accessed April 23, 2021. http://hdl.handle.net/10183/70057.

MLA Handbook (7^th Edition):

Meller, Adalberto. “Previsão de cheias por conjunto em curto prazo.” 2012. Web. 23 Apr 2021.

Vancouver:

Meller A. Previsão de cheias por conjunto em curto prazo. [Internet] [Doctoral dissertation]. Brazil; 2012. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10183/70057.

Council of Science Editors:

Meller A. Previsão de cheias por conjunto em curto prazo. [Doctoral Dissertation]. Brazil; 2012. Available from: http://hdl.handle.net/10183/70057

University of KwaZulu-Natal

18. Rabba, Zeinu Ahmed. Flood estimation in developing countries with case studies in Ethiopia.

Degree: 2017, University of KwaZulu-Natal

URL: http://hdl.handle.net/10413/16191

► Extreme flood events have become more destructive in some parts of Ethiopia. Thus, accurate estimates of flood frequencies are vital for effective flood risk management.… (more)

▼ Extreme flood events have become more destructive in some parts of Ethiopia. Thus, accurate estimates of flood frequencies are vital for effective flood risk management. Yet, estimation of the peak flood is exceptionally complex requiring a wide range of methodologies. One of the approaches is the statistical (traditional) method, which determines the frequency of a flood value from the annual maximum discharge data. However, when such records are too short for flood frequency analysis, empirical formulae can be the option for peak flood estimation. But, most of these formulae are regional formulae based upon the statistical correlation of the recorded peak flood and one or two physical catchment characteristics, and they are unlikely to give reliable results of peak flood for other regions than those for which they were developed. On the other hand, when there are no streamflow observations at the site of interest, hydrological models such as Py- TOPKAPI are another option for modelling stream flows for flood frequency analysis. Thus, the main component of this study involves statistical data analysis and hydrological modeling aimed at finding out an appropriate method of flood frequency analysis for Ethiopian rivers. In this study, a broad overview of practical design-flood-estimation methods in Ethiopia along with international practices was carried out. The results revealed very large gaps in knowledge and in current design flood practices. The application of the PyTOPKAPI model in numerous catchments of the world was likewise reviewed including how the model has been used for flood prediction, forecasting of hydrological responses, etc. In this study, it was implemented in Ethiopia on Gilgel Ghibe and Mojo catchments, and promising results were obtained. This model was also combined with remotely sensed precipitation products for simulating stream flows which showed that the general streamflow patterns were well reproduced. Most importantly, the PyTOPKAPI model was applied in ungauged Ethiopian catchments using the Schreiber runoff ratio in an alternative model calibration approach. This shows how the PyTOPKAPI model can be used to predict runoff responses in ungauged catchments for water resources applications and flood predictions in developing countries. In addition, various flood frequency methodologies were evaluated on two Ethiopian rivers (Awash and Gilgel Ghibe). The aim was to find the most approprite method that best represents the statistical characteristics of the streamflow observations. In this case, the annual maximum discharge data from 14 stations of the two rivers (6 in Gilgel Ghibe and 8 in Awash) with 23 to 54 years of records were used. Seven flood frequency methodologies (TSPT, LN, LPIII, EVI, Chow’s, Stochastic and Weibull’s plotting position formula) were fitted to those data. Comparison of the results were made based upon probability plot correlation coefficient, normalized root mean square deviation and Nash-Sutcliffe fitting coefficient. The results… Advisors/Committee Members: Stretch, Derek Dewey. (advisor).

Subjects/Keywords: Floods Ethiopia.; Flood forecasting Ethiopia.; Flood forecasting Developing countries.; Floods Developing countries.; Flood forecasting.; Floods.; Developing countries.; Ethiopia.; UCTD; Design flood estimation.; Flood frequency analysis.; PyTOPKAPI model.; Return period.; Schreiber’s runoff ratio.; Ethiopia.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Rabba, Z. A. (2017). Flood estimation in developing countries with case studies in Ethiopia. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/16191

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rabba, Zeinu Ahmed. “Flood estimation in developing countries with case studies in Ethiopia.” 2017. Thesis, University of KwaZulu-Natal. Accessed April 23, 2021. http://hdl.handle.net/10413/16191.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rabba, Zeinu Ahmed. “Flood estimation in developing countries with case studies in Ethiopia.” 2017. Web. 23 Apr 2021.

Vancouver:

Rabba ZA. Flood estimation in developing countries with case studies in Ethiopia. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10413/16191.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rabba ZA. Flood estimation in developing countries with case studies in Ethiopia. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/16191

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Zambia

19. Wakumelo, Lutangu. Communicating flood disasters in Zambia: A case study of the Disaster management and Mitigation unit strategies in Shangombo District .

Degree: 2012, University of Zambia

URL: http://hdl.handle.net/123456789/1878

► This report is based on an evaluation of the effectiveness of the communication strategies used by the Disaster Management and Mitigation Unit (DMMU) in Shangombo… (more)

▼ This report is based on an evaluation of the effectiveness of the communication strategies used by the Disaster Management and Mitigation Unit (DMMU) in Shangombo District concerning the 2008/2009 flood disaster. Since information is very important in disaster management work, the means by which it is made available to the people matters. Effective communication during disasters requires an adequate understanding of the target audience and careful planning of the messages to be communicated and the means to be used, including the personnel.The data on which the report is based was collected in a case study of two wards in Shangombo District, Simu and Mambolomoka, using a self-administered questionnaire, focus group discussions, in-depth interviews and informal discussions with residents of the district. The study was premised on the rationale that the DMMU’s work of preventing disasters or mitigating their effects. The work of the DMMU in Shangombo District is mainly aimed at ensuring that people’s livelihoods are not endangered by the incidence of disasters or hazards. The unit’s work can be most meaningful if it was proactive rather than reactive. In other words, hazards in the communities need to be addressed by the unit before they become disasters. Unfortunately, the unit has failed to use effective communication strategies to gain the good will, co-operation and collaboration it needs from the community. As a result, it has come to be perceived as solely a relief agency despite that being only one of its many functions. Pictures of people caught up in disasters across the country also justify the opinion that the members of the unit sit in their offices waiting for a disaster to occur so that they can then go an administer relief services to the affected community. This is the view that is prevalent in Shangombo District.The study reveals that the failure of the DMMU’s strategies with regard to the aspect of communication reside in the inadequacies of the media and personnel it uses; the messages it sends; and the timing of its messages. This strategic failure leads to a failure of its work,generally, which is the conclusion of this report and the testimony of the residents. Some officials interviewed, including the former District Commissioner, admitted to most of then weakness highlighted in this report, although they attributed them to different factors, most commonly lack of resources. In general, the report indicates that the DMMU has neither managed to safeguard people from the adverse effects of disaster nor earned their solidarity. A number of the respondents did not even know that the unit existed. It is recommended that the unit reviews its communication strategy with respect to media, personnel, messages and timing as a way of improving its chances of effectively discharging its mandate in disaster-affected regions of the country

Subjects/Keywords: Flood Control – Social Aspects; Floods Forecasting – Zambia; Disaster Prevention; Disaster Preparedness

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APA (6^th Edition):

Wakumelo, L. (2012). Communicating flood disasters in Zambia: A case study of the Disaster management and Mitigation unit strategies in Shangombo District . (Thesis). University of Zambia. Retrieved from http://hdl.handle.net/123456789/1878

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wakumelo, Lutangu. “Communicating flood disasters in Zambia: A case study of the Disaster management and Mitigation unit strategies in Shangombo District .” 2012. Thesis, University of Zambia. Accessed April 23, 2021. http://hdl.handle.net/123456789/1878.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wakumelo, Lutangu. “Communicating flood disasters in Zambia: A case study of the Disaster management and Mitigation unit strategies in Shangombo District .” 2012. Web. 23 Apr 2021.

Vancouver:

Wakumelo L. Communicating flood disasters in Zambia: A case study of the Disaster management and Mitigation unit strategies in Shangombo District . [Internet] [Thesis]. University of Zambia; 2012. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/123456789/1878.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wakumelo L. Communicating flood disasters in Zambia: A case study of the Disaster management and Mitigation unit strategies in Shangombo District . [Thesis]. University of Zambia; 2012. Available from: http://hdl.handle.net/123456789/1878

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Alberta

20. Kovachis, Nadia. Patterns of River Breakup Timing and Sequencing, Hay River, NWT.

Degree: MS, Department of Civil and Environmental Engineering, 2011, University of Alberta

URL: https://era.library.ualberta.ca/files/736664674

► River ice breakup and associated flooding are realities for many northern communities. This is certainly the case in Hay River, NWT, which is located at… (more)

Subjects/Keywords: Flood forecasting; Ice jam; Hay River; River ice breakup

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APA (6^th Edition):

Kovachis, N. (2011). Patterns of River Breakup Timing and Sequencing, Hay River, NWT. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/736664674

Chicago Manual of Style (16^th Edition):

Kovachis, Nadia. “Patterns of River Breakup Timing and Sequencing, Hay River, NWT.” 2011. Masters Thesis, University of Alberta. Accessed April 23, 2021. https://era.library.ualberta.ca/files/736664674.

MLA Handbook (7^th Edition):

Kovachis, Nadia. “Patterns of River Breakup Timing and Sequencing, Hay River, NWT.” 2011. Web. 23 Apr 2021.

Vancouver:

Kovachis N. Patterns of River Breakup Timing and Sequencing, Hay River, NWT. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2021 Apr 23]. Available from: https://era.library.ualberta.ca/files/736664674.

Council of Science Editors:

Kovachis N. Patterns of River Breakup Timing and Sequencing, Hay River, NWT. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/736664674

21. Loveridge, Melanie. Loss models for design flood estimation : toward applications within a Monte Carlo environment.

Degree: PhD, 2016, Western Sydney University

URL: http://hdl.handle.net/1959.7/uws:38506

►

This thesis focusses on more holistic approaches to flood modelling. For instance, joint probability/Monte Carlo approaches have received a great deal of attention in recent… (more)

Subjects/Keywords: Australia; runoff; flood forecasting; rainfall probabilities; mathematical models; Monte Carlo method

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APA (6^th Edition):

Loveridge, M. (2016). Loss models for design flood estimation : toward applications within a Monte Carlo environment. (Doctoral Dissertation). Western Sydney University. Retrieved from http://hdl.handle.net/1959.7/uws:38506

Chicago Manual of Style (16^th Edition):

Loveridge, Melanie. “Loss models for design flood estimation : toward applications within a Monte Carlo environment.” 2016. Doctoral Dissertation, Western Sydney University. Accessed April 23, 2021. http://hdl.handle.net/1959.7/uws:38506.

MLA Handbook (7^th Edition):

Loveridge, Melanie. “Loss models for design flood estimation : toward applications within a Monte Carlo environment.” 2016. Web. 23 Apr 2021.

Vancouver:

Loveridge M. Loss models for design flood estimation : toward applications within a Monte Carlo environment. [Internet] [Doctoral dissertation]. Western Sydney University; 2016. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/1959.7/uws:38506.

Council of Science Editors:

Loveridge M. Loss models for design flood estimation : toward applications within a Monte Carlo environment. [Doctoral Dissertation]. Western Sydney University; 2016. Available from: http://hdl.handle.net/1959.7/uws:38506

Delft University of Technology

22. Keunen, Oscar (author). Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a

►

Humans have always populated in the vicinity of river systems, where thesupply of water, nourishment and transportation is obtained from the river.However, inundation is a… (more)

▼

Humans have always populated in the vicinity of river systems, where thesupply of water, nourishment and transportation is obtained from the river.However, inundation is a re-occurring problem and impact of floods are ex-pected to increase due to climate change. Accurate flood forecasting andearly warning is critical for disaster risk management. Tackling the problemof forecasting, in data scarce environments, has become increasingly impor-tant due to the changing climate. Remotely sensed river monitoring can bean effective, systematic and time-efficient technique to monitor and forecastextreme floods. Conventional flood forecasting systems require extensivedata inputs and software to model floods. Moreover, most models rely ondischarge data, which is not always available and is less accurate in a over-bank flow situations. There is a need for an alternative method which de-tects riverine inundation, using open-source data and software. This thesisaims to research the use of passive microwave radiometry for the detection,classification and forecasting of inundation.Brightness temperatures are extracted from the passive microwave radiom-etry and are converted in a discharge estimator: the C/M-ratio. Surfacewater has a low emission, thus let the C/M-ratio increase as the surfacewater percentage in the pixel increases. Sharp increases are observed forover-bank flow conditions. The research combines the identification of in-undation with a probability analysis via a quantile regressional fit. Floodforecasts can be obtained from an upstream catchment area. In the mostideal situation with a delay of2,5hours. This allows for probabilistic earlywarning decision making, with a lead time up to14days. (location specific)Strong Spearmans correlation coefficients between the discharge and C/M-ratio are found (>0.883). Allowing the model to forecast floods as gaugeddischarge records do. The model used has a comparable skill to the localGloFas forecast. This research investigated the impact the remote sensedtechnology could have on the flood forecast, response and warning system.An added model to an Early Action Protocol has the ability to lower uncer-tainty within decision making and enlarges the intervention window. Theadvice is to use such a model in combination with other forecasting modelssuch as GloFas.The challenge using this technology is the integration of hydrological com-plexity. The method allows for automated, global-covered creation of gridbased flood forecasts, independent to cloud coverage. Creating low spatialresolution flood forecasts combined with a probability bound in hours aftersatellite detection. The method has a high potential for data scarce flood-prone river basins around the world. The future for this technology lies inthe global daily availability of the data. With satellite sensors improving,spatial resolution is expected to increase. Allowing for even better floodforecasting ability.

Water Management

Advisors/Committee Members: Winsemius, Hessel (mentor), Comes, Tina (mentor), Hulsman, Petra (mentor), van der Ent, Ruud (mentor), van den Homberg, Marc (mentor), Giodini, Stefania (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: Passive microwave remote sensing; Satellite data processing; flood forecasting

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APA (6^th Edition):

Keunen, O. (. (2020). Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a

Chicago Manual of Style (16^th Edition):

Keunen, Oscar (author). “Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia.” 2020. Masters Thesis, Delft University of Technology. Accessed April 23, 2021. http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a.

MLA Handbook (7^th Edition):

Keunen, Oscar (author). “Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia.” 2020. Web. 23 Apr 2021.

Vancouver:

Keunen O(. Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a.

Council of Science Editors:

Keunen O(. Flood Forecasting Using Passive Microwave Radiometry in the Zambezi River, Zambia. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:4ece297e-b285-48fb-b430-59cf9b22bb8a

University of New South Wales

23. Meynink, W. J. C. A non-linear method of design flood estimation.

Degree: Engineering. Civil Engineering, 1975, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/63877 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:61390/SOURCE01?view=true

Subjects/Keywords: Flood forecasting; Thesis Digitisation Program

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APA (6^th Edition):

Meynink, W. J. C. (1975). A non-linear method of design flood estimation. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/63877 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:61390/SOURCE01?view=true

Chicago Manual of Style (16^th Edition):

Meynink, W J C. “A non-linear method of design flood estimation.” 1975. Masters Thesis, University of New South Wales. Accessed April 23, 2021. http://handle.unsw.edu.au/1959.4/63877 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:61390/SOURCE01?view=true.

MLA Handbook (7^th Edition):

Meynink, W J C. “A non-linear method of design flood estimation.” 1975. Web. 23 Apr 2021.

Vancouver:

Meynink WJC. A non-linear method of design flood estimation. [Internet] [Masters thesis]. University of New South Wales; 1975. [cited 2021 Apr 23]. Available from: http://handle.unsw.edu.au/1959.4/63877 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:61390/SOURCE01?view=true.

Council of Science Editors:

Meynink WJC. A non-linear method of design flood estimation. [Masters Thesis]. University of New South Wales; 1975. Available from: http://handle.unsw.edu.au/1959.4/63877 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:61390/SOURCE01?view=true

University of New South Wales

24. Chowdhury, Mohammed S. K. Development of a short-term flood forecasting model.

Degree: Engineering. Civil Engineering, 1980, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/69307 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:70789/SOURCE01?view=true

Subjects/Keywords: Flood forecasting; Thesis Digitisation Program

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APA (6^th Edition):

Chowdhury, M. S. K. (1980). Development of a short-term flood forecasting model. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/69307 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:70789/SOURCE01?view=true

Chicago Manual of Style (16^th Edition):

Chowdhury, Mohammed S K. “Development of a short-term flood forecasting model.” 1980. Doctoral Dissertation, University of New South Wales. Accessed April 23, 2021. http://handle.unsw.edu.au/1959.4/69307 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:70789/SOURCE01?view=true.

MLA Handbook (7^th Edition):

Chowdhury, Mohammed S K. “Development of a short-term flood forecasting model.” 1980. Web. 23 Apr 2021.

Vancouver:

Chowdhury MSK. Development of a short-term flood forecasting model. [Internet] [Doctoral dissertation]. University of New South Wales; 1980. [cited 2021 Apr 23]. Available from: http://handle.unsw.edu.au/1959.4/69307 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:70789/SOURCE01?view=true.

Council of Science Editors:

Chowdhury MSK. Development of a short-term flood forecasting model. [Doctoral Dissertation]. University of New South Wales; 1980. Available from: http://handle.unsw.edu.au/1959.4/69307 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:70789/SOURCE01?view=true

University of British Columbia

25. Zachary, A. Glen. The estimated parameter flood forecasting model.

Degree: Master of Applied Science - MASc, Civil Engineering, 1985, University of British Columbia

URL: http://hdl.handle.net/2429/25148

► Design flood estimates have traditionally been based on records of past events. However, there is a need for a method of estimating peak flows without… (more)

Subjects/Keywords: Flood forecasting - Data processing

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APA (6^th Edition):

Zachary, A. G. (1985). The estimated parameter flood forecasting model. (Masters Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/25148

Chicago Manual of Style (16^th Edition):

Zachary, A Glen. “The estimated parameter flood forecasting model.” 1985. Masters Thesis, University of British Columbia. Accessed April 23, 2021. http://hdl.handle.net/2429/25148.

MLA Handbook (7^th Edition):

Zachary, A Glen. “The estimated parameter flood forecasting model.” 1985. Web. 23 Apr 2021.

Vancouver:

Zachary AG. The estimated parameter flood forecasting model. [Internet] [Masters thesis]. University of British Columbia; 1985. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2429/25148.

Council of Science Editors:

Zachary AG. The estimated parameter flood forecasting model. [Masters Thesis]. University of British Columbia; 1985. Available from: http://hdl.handle.net/2429/25148

University of Oklahoma

26. Grams, Heather. Identification of Enhanced Rainfall Rates Using the Near-Storm Environment for Radar Precipitation Estimates.

Degree: PhD, 2012, University of Oklahoma

URL: http://hdl.handle.net/11244/318950

► Overall, the probability-based precipitation type delineation scheme improved hourly rainfall accumulations for three independent cases tested when compared to both the legacy rainfall product from… (more)

Subjects/Keywords: Rain and rainfall – Measurement; Precipitation (Meteorology); Flood forecasting; Radar meteorology; Polarimetry

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APA (6^th Edition):

Grams, H. (2012). Identification of Enhanced Rainfall Rates Using the Near-Storm Environment for Radar Precipitation Estimates. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318950

Chicago Manual of Style (16^th Edition):

Grams, Heather. “Identification of Enhanced Rainfall Rates Using the Near-Storm Environment for Radar Precipitation Estimates.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed April 23, 2021. http://hdl.handle.net/11244/318950.

MLA Handbook (7^th Edition):

Grams, Heather. “Identification of Enhanced Rainfall Rates Using the Near-Storm Environment for Radar Precipitation Estimates.” 2012. Web. 23 Apr 2021.

Vancouver:

Grams H. Identification of Enhanced Rainfall Rates Using the Near-Storm Environment for Radar Precipitation Estimates. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11244/318950.

Council of Science Editors:

Grams H. Identification of Enhanced Rainfall Rates Using the Near-Storm Environment for Radar Precipitation Estimates. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/318950

Ohio University

27. Fang, Yanhui. Flood Forecasting via a Combination of Stochastic ARIMA Approach and Deterministic HEC-RAS Modeling.

Degree: PhD, Civil Engineering (Engineering and Technology), 2015, Ohio University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1449142353

► Most flood forecasting methods at present time are focused on real-time or short-range forecasting using precipitation data and rainfall-runoff modeling approach. While these methods can… (more)

▼ Most flood forecasting methods at present time are focused on real-time or short-range forecasting using precipitation data and rainfall-runoff modeling approach. While these methods can be beneficial in flood warning and emergency response, they are not suitable for long-term planning in flood risk management. In order to tackle this issue, a new method of flood forecasting was developed and tested in this study. The proposed method consists of two major components. Firstly, the magnitude of annual flood peaks is forecasted and their corresponding water surface levels are estimated. This is implemented by coupling the stochastic ARIMA approach, employed for annual peak flow forecasting, and the deterministic HEC-RAS modeling method for computing water surface profiles. Secondly, the month in which the annual flood peaks would occur is also predicted using the ARIMA approach based on the monthly maximum of daily mean flows. This technique was inspired by the observation that the month when annual peak flow occurs nearly always coincides with the month when the maximum of daily mean flow is the greatest.The proposed methodology was tested using the historical streamflow data of the channelized reach of the Hocking River. The reach was surveyed to obtain the geometric data as well as sediment data necessary to build the HEC-RAS model. The forecast result from the study proved that the ARIMA approach was capable of forecasting both the magnitude and the month of annual flood peaks, and the calibrated HEC-RAS model was validated by existing data. Overall the proposed methodology demonstrated its strength in long-term annual flood forecasting.Outcomes of this study are significant in that it is the first attempt to forecast annual floods in terms of both the magnitude and the month of occurrence. A new technique was also developed and tested to forecast the month of occurrence by constructing a time series of date instead of the conventional flow data. The proposed methodology could potentially benefit long-term planning and flood risk management. Advisors/Committee Members: Chang, Tiao (Advisor).

Subjects/Keywords: Water Resource Management; flood forecasting; long-term; ARIMA; HEC-RAS

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APA (6^th Edition):

Fang, Y. (2015). Flood Forecasting via a Combination of Stochastic ARIMA Approach and Deterministic HEC-RAS Modeling. (Doctoral Dissertation). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1449142353

Chicago Manual of Style (16^th Edition):

Fang, Yanhui. “Flood Forecasting via a Combination of Stochastic ARIMA Approach and Deterministic HEC-RAS Modeling.” 2015. Doctoral Dissertation, Ohio University. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1449142353.

MLA Handbook (7^th Edition):

Fang, Yanhui. “Flood Forecasting via a Combination of Stochastic ARIMA Approach and Deterministic HEC-RAS Modeling.” 2015. Web. 23 Apr 2021.

Vancouver:

Fang Y. Flood Forecasting via a Combination of Stochastic ARIMA Approach and Deterministic HEC-RAS Modeling. [Internet] [Doctoral dissertation]. Ohio University; 2015. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1449142353.

Council of Science Editors:

Fang Y. Flood Forecasting via a Combination of Stochastic ARIMA Approach and Deterministic HEC-RAS Modeling. [Doctoral Dissertation]. Ohio University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1449142353

Montana State University

28. Kaarstad, Ola. Unit hydrographs developed for selected drainage basins in northcentrral and northwestern Montana.

Degree: MS, College of Engineering, 1969, Montana State University

URL: https://scholarworks.montana.edu/xmlui/handle/1/5523

Subjects/Keywords: Flood forecasting; Watershed management

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APA (6^th Edition):

Kaarstad, O. (1969). Unit hydrographs developed for selected drainage basins in northcentrral and northwestern Montana. (Masters Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/5523

Chicago Manual of Style (16^th Edition):

Kaarstad, Ola. “Unit hydrographs developed for selected drainage basins in northcentrral and northwestern Montana.” 1969. Masters Thesis, Montana State University. Accessed April 23, 2021. https://scholarworks.montana.edu/xmlui/handle/1/5523.

MLA Handbook (7^th Edition):

Kaarstad, Ola. “Unit hydrographs developed for selected drainage basins in northcentrral and northwestern Montana.” 1969. Web. 23 Apr 2021.

Vancouver:

Kaarstad O. Unit hydrographs developed for selected drainage basins in northcentrral and northwestern Montana. [Internet] [Masters thesis]. Montana State University; 1969. [cited 2021 Apr 23]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/5523.

Council of Science Editors:

Kaarstad O. Unit hydrographs developed for selected drainage basins in northcentrral and northwestern Montana. [Masters Thesis]. Montana State University; 1969. Available from: https://scholarworks.montana.edu/xmlui/handle/1/5523

29. Caballero, Wilfredo. Enhanced joint probability approach for flood modelling.

Degree: 2013, Western Sydney University

URL: http://handle.uws.edu.au:8081/1959.7/565589

► This thesis develops a regionalised Enhanced Monte Carlo Simulation Technique (EMCST) for eastern NSW as this part of NSW has adequate pluviograph and stream gauging… (more)

▼ This thesis develops a regionalised Enhanced Monte Carlo Simulation Technique (EMCST) for eastern NSW as this part of NSW has adequate pluviograph and stream gauging stations of acceptable quantity and quality to develop and test a regional EMCST. This thesis uses data from 86 pluviograph stations and 12 catchments to derive regional distributions of various stochastic model inputs and parameters that are needed to apply a runoff routing model, i.e. rainfall complete storm duration (DCS), rainfall inter-event duration (IED), rainfall depth (intensity-frequency-duration, IFD), rainfall temporal pattern (TP), initial loss (IL), continuing loss (CL) and runoff routing model’s storage delay parameter (k). Two different probability distributions (exponential and gamma) are tested to fit the observed data of DCS, IED, IL, CL and k by applying three goodness-of-fit tests (Chi-Squared, Kolmogorov-Smirnov and Anderson-Darling) at 5% level of significance. A spatial proximity method has been adopted to regionalise the model inputs and parameters. An Inverse Distance Weighted Averaging (IDWA) method has been used to regionalise the DCS, IED and IFD data. These regionalised stochastic inputs/parameters are then used with the EMCST to obtain derived flood frequency curve (DFFC) at a number of selected catchments in NSW. A sensitivity analysis has been undertaken to assess the impacts of possible uncertainty in these inputs/parameter values on the DFFCs. Model validation is carried out by comparing the results of the EMCST with those of the DEA, Australian Rainfall and Runoff Regional Flood Frequency Estimates (ARR-RFFE) 2012 model (test version) and ARR 1987-PRM. Based on the three goodness-of-fit tests, it has been found that the regional distributions of the DCS, IED, IL and k data can be approximated by two-parameter gamma distribution and the CL data by one-parameter exponential distribution. Based on IDWA method adopted, the DCS, IED and IFD data can be regionalised by using DCS, IED and IFD data from three to five nearby pluviograph stations (whenever it is available, otherwise one pluviograph station is found to be adequate) within 30 km radius from the approximate centre of the catchment of interest. The TP data from 15 nearby pluviograph stations can be pooled to form regional TP data for application at any arbitrary location in eastern NSW. The sensitivities of the input variables and storage delay parameter have been found to be in the following order (the most sensitive to the least sensitive one): k (-30% to 95%), IED (-29% to 60%), DCS (-30% to 50%), IL (-40% to 40%), IFD (10% to 24%), TP (9% to 15%) and CL (-10% to 14%). In addition, it has been shown that up to about 10% variations in the stochastic model inputs/parameters do not make any notable effects on the DFFCs. The independent testing to six catchments shows that the EMCST generally out-performs the DEA, ARR-RFFE 2012 model (test version) and the ARR-PRM. The developed EMCST can be applied at any arbitrary location in eastern NSW. Although the method and… Advisors/Committee Members: University of Western Sydney (Host institution), School of Computing, Engineering and Mathematics (Host institution).

Subjects/Keywords: Thesis (Ph.D. (C.E.)) – University of Western Sydney, 2013; floods; flood forecasting; rainfall simulators; flood control; Monte Carlo method; Australia

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APA (6^th Edition):

Caballero, W. (2013). Enhanced joint probability approach for flood modelling. (Thesis). Western Sydney University. Retrieved from http://handle.uws.edu.au:8081/1959.7/565589

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Caballero, Wilfredo. “Enhanced joint probability approach for flood modelling.” 2013. Thesis, Western Sydney University. Accessed April 23, 2021. http://handle.uws.edu.au:8081/1959.7/565589.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Caballero, Wilfredo. “Enhanced joint probability approach for flood modelling.” 2013. Web. 23 Apr 2021.

Vancouver:

Caballero W. Enhanced joint probability approach for flood modelling. [Internet] [Thesis]. Western Sydney University; 2013. [cited 2021 Apr 23]. Available from: http://handle.uws.edu.au:8081/1959.7/565589.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Caballero W. Enhanced joint probability approach for flood modelling. [Thesis]. Western Sydney University; 2013. Available from: http://handle.uws.edu.au:8081/1959.7/565589

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Iowa

30. Grimley, Lauren Elise. Urban and rural flood forecasting: a case study of a small town in Iowa.

Degree: MS, Civil and Environmental Engineering, 2018, University of Iowa

URL: https://ir.uiowa.edu/etd/6118

► Floods are the most common natural disaster in the U.S. as reported by the Federal Emergency Management Administration (FEMA), and there is a need… (more)

▼ Floods are the most common natural disaster in the U.S. as reported by the Federal Emergency Management Administration (FEMA), and there is a need to provide advance warning to vulnerable communities on the potential risks of flooding after intense storms. The key drivers of urban hydrological research include climate change impacts and adaption, city resilience to hydrological extremes, and integration with emergency management and city planning disciplines. Significant advances in modeling techniques and computational resources have made real-time flood forecasting tools in urban and rural areas an achievable goal, but there is no universal method for flood modeling. Urban landscapes pose a challenge because of fine-scale features and heterogeneities in the landscape including streets, buildings, pipes, and impervious land cover. A nested regional-local modeling approach was used to evaluate its capabilities to provide useful and accurate flood related information to a small community in Iowa. The advantage of a nested approach is the ability to harness the computational efficiency of the regional model while providing reasonably accurate streamflow boundary conditions to the local model. The nested model incorporates the tools and products maintained at the Iowa Flood Center (IFC) including the streamflow bridge sensors, rain gauges, radar rainfall product, and statewide model. A one-way connection was made between the regional model of the upper Maquoketa Watershed (275 mi2) and the local model of the City of Manchester (5 mi2). The uncalibrated, nested model was validated using photos and streamflow records for flood events that occurred in July 2010 and September 2016. Multiple radar rainfall estimates were used as input to the model to better understand the impacts of the spatial and temporal resolution and variations of rainfall on streamflow predictions. A local storm event analysis was completed to determine the vulnerable areas of the stormwater network in eastern Manchester. The two main sources of flooding in Manchester are from the river and from local runoff. During extreme flood events caused by the river, the hydrologic impacts of the urban catchment are masked and the stormwater network system is overwhelmed. The coarse, regional model is limited in producing streamflow results for the small tributaries draining the eastern areas of Manchester. In the case of localized rainfall, a fine resolution model that takes into account the stormwater network and rainfall-runoff dynamics are… Advisors/Committee Members: Krajewski, Witold F. (supervisor).

Subjects/Keywords: flood forecasting; inundation modeling; Iowa Flood Center; Manchester Iowa; radar rainfall; urban hydrology; Civil and Environmental Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Grimley, L. E. (2018). Urban and rural flood forecasting: a case study of a small town in Iowa. (Masters Thesis). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/6118

Chicago Manual of Style (16^th Edition):

Grimley, Lauren Elise. “Urban and rural flood forecasting: a case study of a small town in Iowa.” 2018. Masters Thesis, University of Iowa. Accessed April 23, 2021. https://ir.uiowa.edu/etd/6118.

MLA Handbook (7^th Edition):

Grimley, Lauren Elise. “Urban and rural flood forecasting: a case study of a small town in Iowa.” 2018. Web. 23 Apr 2021.

Vancouver:

Grimley LE. Urban and rural flood forecasting: a case study of a small town in Iowa. [Internet] [Masters thesis]. University of Iowa; 2018. [cited 2021 Apr 23]. Available from: https://ir.uiowa.edu/etd/6118.

Council of Science Editors:

Grimley LE. Urban and rural flood forecasting: a case study of a small town in Iowa. [Masters Thesis]. University of Iowa; 2018. Available from: https://ir.uiowa.edu/etd/6118

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