4.6 Article

Drought vulnerability mapping using AHP method in arid and semiarid areas: a case study for Taft Township, Yazd Province, Iran

Journal

ENVIRONMENTAL EARTH SCIENCES
Volume 75, Issue 12, Pages -

Publisher

SPRINGER
DOI: 10.1007/s12665-016-5822-z

Keywords

Drought vulnerability; Agricultural drought; AHP method; Yazd Province

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Drought is an insidious hazard of nature. It is often referred to as a creeping phenomenon, and its impacts vary from region to region. Studies show that the best approach to managing drought is to apply a comprehensive drought management plan. This system necessitates collecting reliable information to make decisions to decrease the risk and damages caused by drought. Therefore, the first step of the comprehensive drought management is accomplished by preparation of the drought vulnerability map. The main object of this study was to provide for agriculture drought vulnerability mapping for Taft town located in Yazd Province, Iran. To do so, with regard to factors affecting on agricultural drought, maps were prepared for each factor and analytic hierarchy process technique was applied to determine the importance of each map as an input parameter on agricultural drought vulnerability. All input maps and the output of this research, an agricultural drought vulnerability map, were provided and analyzed by geographic information systems. Then, to evaluate and validate how accurately the vulnerability map shows the degree of proneness to agricultural droughts, some ground control points (GCP) were taken into consideration. Results indicated that there is a good agreement between agricultural drought vulnerability map and GCPs in many cases. Also, results showed that mountainous regions of the study area are more vulnerable to agriculture droughts compared with plains. These results can be helpful for decision makers to mitigate agricultural drought impacts over the region, although implementing a drought risk management plan requires a detailed study covering different aspects of drought.

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