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GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors
Stockholm University, Faculty of Science, Department of Physical Geography.ORCID iD: 0000-0002-7978-0040
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Number of Authors: 82019 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 11, no 20, article id 5639Article in journal (Refereed) Published
Abstract [en]

Check dams are widely used watershed management measures for reducing flood peak discharge and sediment transport, and increasing lag time and groundwater recharge throughout the world. However, identifying the best suitable sites for check dams within the stream networks of various watersheds remains challenging. This study aimed to develop an open-source software with user-friendly interface for screening the stream network possibilities and identifying and guiding the selection of suitable sites for check dams within watersheds. In this developed site selection software (SSS), multi-criteria decision analysis (MCDA) was integrated into geographic information systems (GIS), which allowed for numerous spatial data of the multiple criteria to be relatively simply and visually processed. Different geomorphometric and topo-hydrological factors were considered and accounted for to enhance the SSS identification of the best locations for check dams. The factors included topographic wetness index (TWI), terrain ruggedness index (TRI), topographic position index (TPI), sediment transport index (STI), stream power index (SPI), slope, drainage density (DD), and stream order (SO). The site identification performance of the SSS was assessed using the receiver operating characteristic (ROC) curve method, with results for the case study example of the Poldokhtar watershed in Iran showing excellent performance and identifying 327 potential sites for efficient check dam construction in this watershed. The SSS tool is not site-specific but is rather general, adaptive, and comprehensive, such that it can and should be further applied and tested across different watersheds and parts of the world.

Place, publisher, year, edition, pages
2019. Vol. 11, no 20, article id 5639
Keywords [en]
check dams, site selection, site prioritization, watershed management, decision support system, GIS, poldokhtar watershed, Green & Sustainable Science & Technology
National Category
Earth and Related Environmental Sciences Social and Economic Geography
Identifiers
URN: urn:nbn:se:su:diva-177529DOI: 10.3390/su11205639ISI: 000498398900096OAI: oai:DiVA.org:su-177529DiVA, id: diva2:1383677
Available from: 2020-01-08 Created: 2020-01-08 Last updated: 2020-01-08Bibliographically approved

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Rahmati, OmidKalantari, ZahraUuemaa, EvelynMoghaddam, Davoud DavoudiNalivan, Omid AsadiDestouni, GeorgiaDieu, Tien
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