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You searched for subject:(marine environment monitoring). Showing records 1 – 2 of 2 total matches.

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University of Plymouth

1. Alsarawi, Hanan Ahmad. Developing an integrated strategy for the assessment of hazardous substances in Kuwait's marine environment.

Degree: PhD, 2017, University of Plymouth

Kuwait is undergoing rapid economic growth involving substantial developments along its coastal shores and the marine environment. Many of the activities in the region are associated with oil industry, which can pollute the shores leading to contamination from oil residues, tar balls and trace metals. About 2 million barrels of oil are spilled annually from routine discharges into the Gulf, which derives mainly from dirty ballast waters and tank washing. The comprehensive literature review of hazardous substances in Kuwait’s marine environment has concluded that for the majority of these pollutants, contamination is localized around industrialised areas, and elsewhere is generally below the permitted international standards. These finding have been supported by a fieldwork. This has been conducted to assess the use of biomarkers (bile metabolites and EROD activities) for 60 fish consisting of two native species Giant sea catfish (Arius thalassinus) and (Pelates quadrilineatus) to demonstrate the potential for the concentrations of oil based contaminants present to induce detectable levels of biological effects in fish species living in Kuwait’s marine environment. Therefore, the focus of this research has shifted its attention to another anthropogenic source that chronically pollute Kuwait’s marine environment. One of the main sources of contaminants is the continuous discharge of sewage, which impacts many locations around Kuwait. Sewage is known to contain wide array of substances that could pose an ecotoxicological impact at different levels of the ecosystem. One such threat is posed by antimicrobial agents that contribute to the growing global concern surrounding the prevalence of antimicrobial resistant (AMR) bacteria. Therefore, a major theme of this research project was to conduct a novel survey of the prevalence of AMR bacteria isolated from Kuwait’s marine environment. The AMR screening, including 598 E.coli isolated from seawater and bivalves samples during summer and winter seasons against 23 frontline antibiotics, revealed that resistance was observed from a number of locations (particularly associated with sewage outlets) for the majority of antibiotics (seawater: summer 89 - 64%; winter 90 - 57% and bivalves: summer 77%; winter 88%). A baseline screening for the class 1 integron which is known to be implicated in disseminating the antimicrobial resistance among bacteria was conducted for the isolated 598 E.coli. The findings highlighted the prevalence of such molecular genetic elements especially around the sewage outlets (36% of tested E.coli). The whole genome sequencing was conducted for a representative E.coli (26 E.coli) and it showed that E.coli derived from Kuwait’s marine environment possessed a variety of genes implicated in antimicrobial resistance potential against wide spectrum of antibiotics and suggesting that genes are exchanged via the horizontal gene transfer. These observations and recording of antimicrobial resistance phenomenon support the notion that marine environment could act not…

Subjects/Keywords: 363.739; Kuwait marine environment; E.coil; AMR; pollution monitoring

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

APA (6th Edition):

Alsarawi, H. A. (2017). Developing an integrated strategy for the assessment of hazardous substances in Kuwait's marine environment. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/10603

Chicago Manual of Style (16th Edition):

Alsarawi, Hanan Ahmad. “Developing an integrated strategy for the assessment of hazardous substances in Kuwait's marine environment.” 2017. Doctoral Dissertation, University of Plymouth. Accessed August 11, 2020. http://hdl.handle.net/10026.1/10603.

MLA Handbook (7th Edition):

Alsarawi, Hanan Ahmad. “Developing an integrated strategy for the assessment of hazardous substances in Kuwait's marine environment.” 2017. Web. 11 Aug 2020.

Vancouver:

Alsarawi HA. Developing an integrated strategy for the assessment of hazardous substances in Kuwait's marine environment. [Internet] [Doctoral dissertation]. University of Plymouth; 2017. [cited 2020 Aug 11]. Available from: http://hdl.handle.net/10026.1/10603.

Council of Science Editors:

Alsarawi HA. Developing an integrated strategy for the assessment of hazardous substances in Kuwait's marine environment. [Doctoral Dissertation]. University of Plymouth; 2017. Available from: http://hdl.handle.net/10026.1/10603

2. Matuszewski, Damian Janusz. Computer vision for continuous plankton monitoring.

Degree: Mestrado, Ciência da Computação, 2014, University of São Paulo

Plankton microorganisms constitute the base of the marine food web and play a great role in global atmospheric carbon dioxide drawdown. Moreover, being very sensitive to any environmental changes they allow noticing (and potentially counteracting) them faster than with any other means. As such they not only influence the fishery industry but are also frequently used to analyze changes in exploited coastal areas and the influence of these interferences on local environment and climate. As a consequence, there is a strong need for highly efficient systems allowing long time and large volume observation of plankton communities. This would provide us with better understanding of plankton role on global climate as well as help maintain the fragile environmental equilibrium. The adopted sensors typically provide huge amounts of data that must be processed efficiently without the need for intensive manual work of specialists. A new system for general purpose particle analysis in large volumes is presented. It has been designed and optimized for the continuous plankton monitoring problem; however, it can be easily applied as a versatile moving fluids analysis tool or in any other application in which targets to be detected and identified move in a unidirectional flux. The proposed system is composed of three stages: data acquisition, targets detection and their identification. Dedicated optical hardware is used to record images of small particles immersed in the water flux. Targets detection is performed using a Visual Rhythm-based method which greatly accelerates the processing time and allows higher volume throughput. The proposed method detects, counts and measures organisms present in water flux passing in front of the camera. Moreover, the developed software allows saving cropped plankton images which not only greatly reduces required storage space but also constitutes the input for their automatic identification. In order to assure maximal performance (up to 720 MB/s) the algorithm was implemented using CUDA for GPGPU. The method was tested on a large dataset and compared with alternative frame-by-frame approach. The obtained plankton images were used to build a classifier that is applied to automatically identify organisms in plankton analysis experiments. For this purpose a dedicated feature extracting software was developed. Various subsets of the 55 shape characteristics were tested with different off-the-shelf learning models. The best accuracy of approximately 92% was obtained with Support Vector Machines. This result is comparable to the average expert manual identification performance. This work was developed under joint supervision with Professor Rubens Lopes (IO-USP).

Microorganismos planctônicos constituem a base da cadeia alimentar marinha e desempenham um grande papel na redução do dióxido de carbono na atmosfera. Além disso, são muito sensíveis a alterações ambientais e permitem perceber (e potencialmente neutralizar) as mesmas mais rapidamente do que em qualquer outro meio. Como tal, não só…

Advisors/Committee Members: Cesar Junior, Roberto Marcondes.

Subjects/Keywords: análise de vídeos longos; Big Data; Big Data; detecção de plâncton; e-Science; e-Science; long video analysis; marine environment monitoring; monitoramento de ambiente marinho; plankton detection; Ritmo Visual; visual rhythm

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

APA (6th Edition):

Matuszewski, D. J. (2014). Computer vision for continuous plankton monitoring. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-24042014-150825/ ;

Chicago Manual of Style (16th Edition):

Matuszewski, Damian Janusz. “Computer vision for continuous plankton monitoring.” 2014. Masters Thesis, University of São Paulo. Accessed August 11, 2020. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-24042014-150825/ ;.

MLA Handbook (7th Edition):

Matuszewski, Damian Janusz. “Computer vision for continuous plankton monitoring.” 2014. Web. 11 Aug 2020.

Vancouver:

Matuszewski DJ. Computer vision for continuous plankton monitoring. [Internet] [Masters thesis]. University of São Paulo; 2014. [cited 2020 Aug 11]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-24042014-150825/ ;.

Council of Science Editors:

Matuszewski DJ. Computer vision for continuous plankton monitoring. [Masters Thesis]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-24042014-150825/ ;

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