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     Research Journal of Applied Sciences, Engineering and Technology


Spatio-temporal Characteristics of Droughts and Drought Trends in Qazvin Province of Iran

1Hamid Asgari, 1Morteza Mohsenipour, 1Shamsuddin Shahid, 1Sahar Hadipour, 2Mostafa Shafieifar and 1Peiman Roushenas
1Department of Hydraulics and Hydrology, Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Malaysia
2Department of Water Engineering, School of Civil Engineering, Iran Universiti of Science and Technology (IUST), Iran
Research Journal of Applied Sciences, Engineering and Technology  2014  11:1299-1311
http://dx.doi.org/10.19026/rjaset.8.1100  |  © The Author(s) 2014
Received: April ‎15, ‎2014  |  Accepted: June ‎02, ‎2014  |  Published: September 20, 2014

Abstract

A study has been carried out to characterize the spatial patterns of droughts with different time scales as well as their trends in Qazvin province of Iran where droughts are recurrent phenomena. Thirty-five years (1971-2004) monthly rainfall data recorded at twenty rainfall stations are used for the study. Standardized precipitation index is used for the reconstruction of drought events from rainfall data in order to characterize the spatial and temporal distributions of droughts. A non-parametric trend test known as Mann-Kendall test is used to analysis the changes in rainfall and drought events. The results show that the north especially northwest part of the provinces most prone to droughts with different time spans and severities. Trend analysis shows significant changes in rainfall and droughts only in few stations sporadically distributed over the study area. It is expected that the study will be helpful in drought mitigation and adaptation planning in the area.

Keywords:

GIS , Iran , standardized precipitation index , spatio-temporal pattern, trend analysis,


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Competing interests

The authors have no competing interests.

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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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