Agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods

Water is increasingly becoming a major constraint in agricultural development in many countries across the world. It is anticipated that global environmental change will deteriorate the condition further in near future. The objective of this research is to develop an evaluation approach for systemat...

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Main Author:	Ahammed, Sumaiya Jarin
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/79053/1/SumaiyaJarinAhamedMFKA2017.pdf
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id	my-utm-ep.79053
record_format	uketd_dc
spelling	my-utm-ep.790532018-09-27T05:21:06Z Agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods 2017-03 Ahammed, Sumaiya Jarin TA Engineering (General). Civil engineering (General) Water is increasingly becoming a major constraint in agricultural development in many countries across the world. It is anticipated that global environmental change will deteriorate the condition further in near future. The objective of this research is to develop an evaluation approach for systematic assessment of spatial distribution of water stress and its risk to society in order to aid mitigation planning. Bangladesh is used as a case study in this research. Criteria based approach is used to select the water stress indicators. A data driven method is proposed through the integration of catastrophe theory and entropy methods for assigning weights to indicators for the estimation of water stress and its risk in a geographical information system (GIS). The novelty of the integrated method is that it can be used in multi-criteria decision making by avoiding personal judgment. Evaluation of the performance of the integrated method shows that it can predict water stress with an accuracy of 0.9, which is much higher than catastrophe (0.82) and entropy theory (0.8) based methods. Application of proposed method in Bangladesh reveals that about 5.7% area of the country is experiencing very high water stress, 32.1% area is high water stress, and the rest is moderate or no water stress for agriculture. Agriculture in western part of Bangladesh experiences more water stress compared to other parts of the country. The vulnerability map shows 25.1% area is very high vulnerable and 28.9% area is high vulnerable to water stress. The northwest region of the country is more vulnerable to water stress compared to other parts. Integration of water stress and vulnerability maps shows that northwest and southeast parts of Bangladesh have the highest risk to water stress. The analysis of the results reveal that higher agriculture water stress in northwest region resulted from water unavailability and in southwest region is closely related to poor water quality. The areas of highest water stress correspond very well with the areas that are usually thought as water scarce. 2017-03 Thesis http://eprints.utm.my/id/eprint/79053/ http://eprints.utm.my/id/eprint/79053/1/SumaiyaJarinAhamedMFKA2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110226 phd doctoral Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Ahammed, Sumaiya Jarin Agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods
description	Water is increasingly becoming a major constraint in agricultural development in many countries across the world. It is anticipated that global environmental change will deteriorate the condition further in near future. The objective of this research is to develop an evaluation approach for systematic assessment of spatial distribution of water stress and its risk to society in order to aid mitigation planning. Bangladesh is used as a case study in this research. Criteria based approach is used to select the water stress indicators. A data driven method is proposed through the integration of catastrophe theory and entropy methods for assigning weights to indicators for the estimation of water stress and its risk in a geographical information system (GIS). The novelty of the integrated method is that it can be used in multi-criteria decision making by avoiding personal judgment. Evaluation of the performance of the integrated method shows that it can predict water stress with an accuracy of 0.9, which is much higher than catastrophe (0.82) and entropy theory (0.8) based methods. Application of proposed method in Bangladesh reveals that about 5.7% area of the country is experiencing very high water stress, 32.1% area is high water stress, and the rest is moderate or no water stress for agriculture. Agriculture in western part of Bangladesh experiences more water stress compared to other parts of the country. The vulnerability map shows 25.1% area is very high vulnerable and 28.9% area is high vulnerable to water stress. The northwest region of the country is more vulnerable to water stress compared to other parts. Integration of water stress and vulnerability maps shows that northwest and southeast parts of Bangladesh have the highest risk to water stress. The analysis of the results reveal that higher agriculture water stress in northwest region resulted from water unavailability and in southwest region is closely related to poor water quality. The areas of highest water stress correspond very well with the areas that are usually thought as water scarce.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ahammed, Sumaiya Jarin
author_facet	Ahammed, Sumaiya Jarin
author_sort	Ahammed, Sumaiya Jarin
title	Agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods
title_short	Agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods
title_full	Agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods
title_fullStr	Agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods
title_full_unstemmed	Agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods
title_sort	agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods
granting_institution	Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department	Faculty of Civil Engineering
publishDate	2017
url	http://eprints.utm.my/id/eprint/79053/1/SumaiyaJarinAhamedMFKA2017.pdf
_version_	1747818135520542720

Agricultural water stress and risk assessment using integration of catastrophe theory and entropy methods

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