Technical Papers
Jun 9, 2018

Site Suitability Analysis for Subsurface Dams Using Boolean and Fuzzy Logic in Arid Watersheds

Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 8

Abstract

This study aims at identifying suitable sites for underground or subsurface dams using a spatial multicriteria evaluation (SMCE) for water supplies in an arid watershed in southwestern Iran. Specific constraints and three groups of criteria were used in developing a spatial decision model. Constraints included slope, fault, land use, and geology. Site characteristics were classified based on slope, geomorphology, infiltration, precipitation, geology, and distances from roads, from rock materials sites, from faults and springs, from rivers and streams, and from various land uses. A criteria tree was designed and standardized using Boolean logic and fuzzy membership on factors. Factors were weighed by both ranking and direct methods. Finally, the composite index map (CIM) was used to identify three best sites. With valley shape consideration, Site2 was the most suitable for construction of a subsurface dam. Interpretation of valley profile, optimum decisions on subsurface dams, and multicriteria for site selection can be used in water resource planning.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 144Issue 8August 2018

History

Received: Jan 10, 2017
Accepted: Jan 17, 2018
Published online: Jun 9, 2018
Published in print: Aug 1, 2018
Discussion open until: Nov 9, 2018

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Authors

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Ali Akbar Jamali, Ph.D. [email protected]
Associate Professor, Dept. of GIS and Watershed Management, Maybod Branch, Islamic Azad Univ., Maybod 8965151567, Iran. Email: [email protected]
Timothy O. Randhir, Ph.D. [email protected]
Professor, Dept. of Environmental Conservation, Univ. of Massachusetts, Amherst, MA 01003 (corresponding author). Email: [email protected]
Jamshid Nosrati [email protected]
Graduate Student, Dept. of GIS and Watershed Management, Maybod Branch, Islamic Azad Univ., Maybod 8965151567, Iran. Email: [email protected]

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