Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 541040
Title A GIS-based approach for identifying potential sites for harvesting rainwater in the Western Desert of Iraq
Author(s) Adham, Ammar; Sayl, Khamis Naba; Abed, Rasha; Abdeladhim, Mohamed Arbi; Wesseling, Jan G.; Riksen, Michel; Fleskens, Luuk; Karim, Usama; Ritsema, Coen J.
Source International Soil and Water Conservation Research 6 (2018)4. - ISSN 2095-6339 - p. 297 - 304.
DOI https://doi.org/10.1016/j.iswcr.2018.07.003
Department(s) Soil Physics and Land Management
Alterra - Soil, water and land use
PE&RC
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) GIS - Iraq's western desert - Rainwater harvesting - Suitability map
Abstract

People living in arid and semi-arid areas with highly variable rainfall and unforeseeable periods of droughts or floods are severely affected by water shortages and often have insecure livelihoods. The construction of dams in wadies to harvest rainwater from small watersheds and to induce artificial groundwater recharge is one of the solutions available to overcome water shortages in the Western Desert of Iraq. The success of rainwater harvesting (RWH) systems depends heavily on their technical design and on the identification of suitable sites. Our main goal was to identify suitable sites for dams using a suitability model created with ModelBuilder in ArcGIS 10.2. The model combined various biophysical factors: slope, runoff depth, land use, soil texture, and stream order. The suitability map should be useful to hydrologists, decision-makers, and planners for quickly identifying areas with the highest potential for harvesting rainwater. The implementation of this method should also support any policy shifts towards the widespread adoption of RWH.

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