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You searched for +publisher:"Mississippi State University" +contributor:("Mary Love Tagert"). Showing records 1 – 3 of 3 total matches.

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Mississippi State University

1. Buka, Hazel. Assessing irrigation scheduling using Mississippi Irrigation Scheduling Tool (MIST) and soil moisture sensors.

Degree: MS, Agricultural and Biological Engineering, 2018, Mississippi State University

By using the Soil Conservation Service (SCS) polynomial method for corn in the Mississippi Irrigation Scheduling Tool (MIST), the total number of irrigations required during the growing season can be reduced depending on the variety, growing degree days required to reach maturity, and the length of the growing season. Results showed that even though the SCS method called for irrigations earlier in the season, the method did not trigger irrigation events after the crop reached physiological maturity. In addition, although changing the timing of model initiation (planting vs emergence) was not important on the total crop water use, it may have other benefits. Lastly, Watermark 200SS sensors generally did not trigger similar irrigation events, especially around the mid-season, but shallower sensors somewhat matched and showed similar trends with the MIST modeled results and irrigation records. Therefore, using MIST with sensors may be beneficial when making precise irrigation scheduling decisions. Advisors/Committee Members: Anna Linhoss (chair), Mary Love Tagert (chair), Jonathan W. Pote (committee member), Charles L. Wax (committee member).

Subjects/Keywords: Mississippi Irrigation Scheduler; crop coefficients; soil moisture monitoring; number of irrigations; irrigation scheduling

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APA (6th Edition):

Buka, H. (2018). Assessing irrigation scheduling using Mississippi Irrigation Scheduling Tool (MIST) and soil moisture sensors. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04232018-123919/ ;

Chicago Manual of Style (16th Edition):

Buka, Hazel. “Assessing irrigation scheduling using Mississippi Irrigation Scheduling Tool (MIST) and soil moisture sensors.” 2018. Masters Thesis, Mississippi State University. Accessed January 29, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04232018-123919/ ;.

MLA Handbook (7th Edition):

Buka, Hazel. “Assessing irrigation scheduling using Mississippi Irrigation Scheduling Tool (MIST) and soil moisture sensors.” 2018. Web. 29 Jan 2020.

Vancouver:

Buka H. Assessing irrigation scheduling using Mississippi Irrigation Scheduling Tool (MIST) and soil moisture sensors. [Internet] [Masters thesis]. Mississippi State University; 2018. [cited 2020 Jan 29]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04232018-123919/ ;.

Council of Science Editors:

Buka H. Assessing irrigation scheduling using Mississippi Irrigation Scheduling Tool (MIST) and soil moisture sensors. [Masters Thesis]. Mississippi State University; 2018. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04232018-123919/ ;


Mississippi State University

2. Xiong, Yi. COUPLING SEDIMENT TRANSPORT AND WATER QUALITY MODELS.

Degree: PhD, Civil and Environmental Engineering, 2010, Mississippi State University

Sediment has profound effects on water quality. Correspondingly, water quality modeling often needs sediment transport modeling. However, simplified descriptive sediment transport was originally employed for water quality modeling, and the linkage between sediment transport models and water quality models is less developed. Therefore, the main purposes of this study were to develop general methods of coupling sediment transport and water quality models and to improve sediment transport modeling for water quality modeling. Linkage of sediment transport and water quality was discussed and a comprehensive sediment transport literature review was conducted. SEDDEER (Sediment Deposition and Erosion), a stand-alone sediment and contaminant fate and transport model, which simulates one water box and the underlying multiple sediment bed layers, was developed. SEDDEER for Visual Basic for Application (SEDDEER_VBA) was written in VBA. SEDDEER for FORTRAN (SEDDEER_FOR) is the corresponding FORTRAN model. To improve WASP in terms of sediment transport, SEDDEER_FOR was incorporated into the WASP TOXI7 module as the starting point to generate the coupled WASP model (WASP_SEDDEER). Verification and validation of SEDDEER_VBA were conducted prior to model application and incorporation. A comprehensive model test was performed to show that SEDDEER_FOR is computationally identical to SEDDEER_VBA. Simple tests were carried out to verify the fluxes across the sediment-water interface and ensure that the coupling of the WASP water column and SEDDEER bed models is correct. The testing results indicated that these models were verified and/or validated. SEDDEER was used to evaluate the effects of sediment on contaminant transport. WASP_SEDDEER, WASP7.4, and EFDC were applied to Mobile Bay to demonstrate the capabilities of WASP_SEDDEER, and WASP_SEDDEER produced a reasonable and consistent modeling result. The results of the study indicated that SEDDEER can be used for one-box sediment and contaminant fate and transport modeling, and also incorporated into water quality models. In addition, WASP_SEDDEER coupling was implemented correctly and can be applied to the real world. Finally, study results show that sediment affects contaminant fate and transport mostly by external forcing and flow conditions, and contaminant fate and transport varies with different sediment and contaminant characteristics and sediment transport processes. Advisors/Committee Members: James L. Martin (chair), William H. McAnally (chair), Rutherford C. Berger (committee member), Vladimir J. Alarcon (committee member), Mary Love Tagert (committee member).

Subjects/Keywords: SEDDEER.; EFDC; TOXI7; WASP; coupling; water quality model; sediment transport model

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

APA (6th Edition):

Xiong, Y. (2010). COUPLING SEDIMENT TRANSPORT AND WATER QUALITY MODELS. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-11102010-224923/ ;

Chicago Manual of Style (16th Edition):

Xiong, Yi. “COUPLING SEDIMENT TRANSPORT AND WATER QUALITY MODELS.” 2010. Doctoral Dissertation, Mississippi State University. Accessed January 29, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11102010-224923/ ;.

MLA Handbook (7th Edition):

Xiong, Yi. “COUPLING SEDIMENT TRANSPORT AND WATER QUALITY MODELS.” 2010. Web. 29 Jan 2020.

Vancouver:

Xiong Y. COUPLING SEDIMENT TRANSPORT AND WATER QUALITY MODELS. [Internet] [Doctoral dissertation]. Mississippi State University; 2010. [cited 2020 Jan 29]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11102010-224923/ ;.

Council of Science Editors:

Xiong Y. COUPLING SEDIMENT TRANSPORT AND WATER QUALITY MODELS. [Doctoral Dissertation]. Mississippi State University; 2010. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-11102010-224923/ ;


Mississippi State University

3. Diaz-Ramirez, Jairo Nelvedir. ASSESSMENT OF UNCERTAINTY IN FLOW MODEL PARAMETERS, CHANNEL HYDRAULIC PROPERTIES, AND RAINFALL DATA OF A LUMPED WATERSHED MODEL.

Degree: PhD, Civil Engineering, 2007, Mississippi State University

Among other sources of uncertainties in hydrologic modeling, spatial rainfall variability, channel hydraulic variability, and model parameter uncertainty were evaluated. The Monte Carlo and Harr methods were used to assess 90% certainty bounds on simulated flows. The lumped watershed model, Hydrologic Simulation Program FORTRAN ? HSPF, was used to simulate streamflow at the outlet of the Luxapallila Creek watershed in Mississippi and Alabama. Analysis of parameter uncertainty propagation on streamflow simulations from 12 HSPF parameters was accomplished using 5,000 Monte Carlo random samples and 24 Harr selected points for each selected parameter. Spatial rainfall variability propagation on simulated flows was studied using six random grid point sets of Next Generation Weather Radar (NEXRAD) rainfall data (i.e., 109, 86, 58, 29, 6, and 2 grid points) from the baseline scenario (115 NEXRAD grid points). Uncertainty in channel hydraulic properties was assessed comparing the baseline scenario (USGS FTABLE) versus the EPA RF1 FTABLE scenario. The difference between the baseline scenario and the remaining scenarios in this study was evaluated using two criteria: the percentage of observed flows within the HSPF 90% certainty bounds (Reliability) and the width of the HSPF 90% certainty bounds (Sharpness). Daily observed streamflow data were clustered into three groups to assess the model performance by each class: below normal, normal, and above normal flows. The parameter uncertainty propagation results revealed that the higher the model Sharpness the lower the model Reliability. The model Sharpness and Reliability results using 2 NEXRAD grid points were markedly different from those results using the remaining NEXRAD data sets. The hydraulic property variability of the main channel affected storm event paths at the watershed outlet, especially the time to peak flow and recessing limbs of storm events. The comparison showed that Harr?s method could be an appropriate initial indicator of parameter uncertainty propagation on streamflow simulations, in particular for hydrology models with several parameters. Parameter uncertainty was still more important than those sources of uncertainty accomplished in this study because all of the median relative errors of model Reliability and Sharpness were lower than +/- 100%. Advisors/Committee Members: Billy E. Johnson (committee member), Mary Love Tagert (committee member), James L. Martin (chair), William H. McAnally (chair).

Subjects/Keywords: HSPF; parameter uncertainty; rainfall spatial variability; hydraulic property variability; Monte Carlo simulation; Harr method; certainty bounds of streamflow simulations.

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

APA (6th Edition):

Diaz-Ramirez, J. N. (2007). ASSESSMENT OF UNCERTAINTY IN FLOW MODEL PARAMETERS, CHANNEL HYDRAULIC PROPERTIES, AND RAINFALL DATA OF A LUMPED WATERSHED MODEL. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07032007-140341/ ;

Chicago Manual of Style (16th Edition):

Diaz-Ramirez, Jairo Nelvedir. “ASSESSMENT OF UNCERTAINTY IN FLOW MODEL PARAMETERS, CHANNEL HYDRAULIC PROPERTIES, AND RAINFALL DATA OF A LUMPED WATERSHED MODEL.” 2007. Doctoral Dissertation, Mississippi State University. Accessed January 29, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07032007-140341/ ;.

MLA Handbook (7th Edition):

Diaz-Ramirez, Jairo Nelvedir. “ASSESSMENT OF UNCERTAINTY IN FLOW MODEL PARAMETERS, CHANNEL HYDRAULIC PROPERTIES, AND RAINFALL DATA OF A LUMPED WATERSHED MODEL.” 2007. Web. 29 Jan 2020.

Vancouver:

Diaz-Ramirez JN. ASSESSMENT OF UNCERTAINTY IN FLOW MODEL PARAMETERS, CHANNEL HYDRAULIC PROPERTIES, AND RAINFALL DATA OF A LUMPED WATERSHED MODEL. [Internet] [Doctoral dissertation]. Mississippi State University; 2007. [cited 2020 Jan 29]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07032007-140341/ ;.

Council of Science Editors:

Diaz-Ramirez JN. ASSESSMENT OF UNCERTAINTY IN FLOW MODEL PARAMETERS, CHANNEL HYDRAULIC PROPERTIES, AND RAINFALL DATA OF A LUMPED WATERSHED MODEL. [Doctoral Dissertation]. Mississippi State University; 2007. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07032007-140341/ ;

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