A GIS-Based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern Maysan Governorate, Iraq

Identifying potential sites for water harvesting (WH) is a crucial task for efficient water resources management in arid regions. In response, this paper proposes a geographical information system-based model that combines fuzzy logic and analytic hierarchy process (AHP) to delineate suitable areas...

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Main Authors: Al Abadi, A. M., Shahid, S., Ghalib, H. B., Handhal, A. M.
Format: Article
Published: Springer Verlag 2017
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Online Access:http://eprints.utm.my/id/eprint/75362/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019664252&doi=10.1007%2fs13369-017-2487-1&partnerID=40&md5=02d9b884111d9d5619a99636ea26161d
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spelling my.utm.753622018-03-22T11:04:53Z http://eprints.utm.my/id/eprint/75362/ A GIS-Based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern Maysan Governorate, Iraq Al Abadi, A. M. Shahid, S. Ghalib, H. B. Handhal, A. M. TA Engineering (General). Civil engineering (General) Identifying potential sites for water harvesting (WH) is a crucial task for efficient water resources management in arid regions. In response, this paper proposes a geographical information system-based model that combines fuzzy logic and analytic hierarchy process (AHP) to delineate suitable areas for constructing WH structures in arid southern Iraq. Based on a literature review and available data, five influential factors were selected to develop the model: hydrological soil group, land cover, surface runoff depth, slope, and distance to an intermittent river. A fuzzy logic-based approach was used to standardize the factors, and AHP was used to derive weights. The total score for land suitability was obtained from a linear aggregation of the products of fuzzy standard criteria and AHP-derived weights. The WH suitability levels obtained were classified into five different classes: unsuitable, poor, moderate, good, and excellent. The study revealed that 393 km 2 (18% of the area) is unsuitable or poor, 538 km 2 (26%) is moderately suitable, and 1167 km 2 (56%) is good or excellent for WH in the study area. Field data revealed that the only existing WH dam in the area is situated within an excellent WH-suitable zone, which indicates the capability of the developed model to identify areas suitable for different WH structures. Springer Verlag 2017 Article PeerReviewed Al Abadi, A. M. and Shahid, S. and Ghalib, H. B. and Handhal, A. M. (2017) A GIS-Based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern Maysan Governorate, Iraq. Arabian Journal for Science and Engineering, 42 (6). pp. 2487-2499. ISSN 1319-8025 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019664252&doi=10.1007%2fs13369-017-2487-1&partnerID=40&md5=02d9b884111d9d5619a99636ea26161d
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Al Abadi, A. M.
Shahid, S.
Ghalib, H. B.
Handhal, A. M.
A GIS-Based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern Maysan Governorate, Iraq
description Identifying potential sites for water harvesting (WH) is a crucial task for efficient water resources management in arid regions. In response, this paper proposes a geographical information system-based model that combines fuzzy logic and analytic hierarchy process (AHP) to delineate suitable areas for constructing WH structures in arid southern Iraq. Based on a literature review and available data, five influential factors were selected to develop the model: hydrological soil group, land cover, surface runoff depth, slope, and distance to an intermittent river. A fuzzy logic-based approach was used to standardize the factors, and AHP was used to derive weights. The total score for land suitability was obtained from a linear aggregation of the products of fuzzy standard criteria and AHP-derived weights. The WH suitability levels obtained were classified into five different classes: unsuitable, poor, moderate, good, and excellent. The study revealed that 393 km 2 (18% of the area) is unsuitable or poor, 538 km 2 (26%) is moderately suitable, and 1167 km 2 (56%) is good or excellent for WH in the study area. Field data revealed that the only existing WH dam in the area is situated within an excellent WH-suitable zone, which indicates the capability of the developed model to identify areas suitable for different WH structures.
format Article
author Al Abadi, A. M.
Shahid, S.
Ghalib, H. B.
Handhal, A. M.
author_facet Al Abadi, A. M.
Shahid, S.
Ghalib, H. B.
Handhal, A. M.
author_sort Al Abadi, A. M.
title A GIS-Based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern Maysan Governorate, Iraq
title_short A GIS-Based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern Maysan Governorate, Iraq
title_full A GIS-Based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern Maysan Governorate, Iraq
title_fullStr A GIS-Based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern Maysan Governorate, Iraq
title_full_unstemmed A GIS-Based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern Maysan Governorate, Iraq
title_sort gis-based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in northeastern maysan governorate, iraq
publisher Springer Verlag
publishDate 2017
url http://eprints.utm.my/id/eprint/75362/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019664252&doi=10.1007%2fs13369-017-2487-1&partnerID=40&md5=02d9b884111d9d5619a99636ea26161d
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score 13.211869