Assessing future drought conditions under a changing climate: a case study of the Lake Urmia basin in Iran

Author:

Ahmadebrahimpour Edris1,Aminnejad Babak1,Khalili Keivan2

Affiliation:

1. Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Roudehen, Iran

2. Department of Water Engineering, Faculty of Agriculture, Urmia University, Urmia, Iran

Abstract

Abstract This study was conducted to assess the impacts of climate change on drought over the Lake Urmia basin, Iran. Drought events for 2011–2040, 2041–2070, and 2071–2100 were analyzed based on the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) and were compared with the adopted baseline period (1976–2005). The SPI and SPEI were calculated using the precipitation and temperatures obtained from the second-generation Canadian Earth System Model (CanESM2) under Representative Concentration Pathway (RCP) 2.6 and RCP 8.5 as optimistic and pessimistic scenarios respectively. The results of SPI analyses revealed that under RCP 2.6 the frequency of droughts is almost constant while under RCP 8.5 drought frequency increased especially in the period 2071–2100. The calculated SEPI under both scenarios and during all future periods predict that the frequency and duration of droughts will increase. Generally, the difference between the SPI and SPEI is related to the input to each index. SPI is solely based on precipitation while the SPEI accounts for both precipitation and potential evapotranspiration (PET). Under global warming and changing climate, the significant role of PET was highlighted. It was concluded that the SPEI outperformed the SPI for drought studies under a changing climate.

Funder

no funds

Publisher

IWA Publishing

Subject

Water Science and Technology

Reference30 articles.

1. Application of global precipitation dataset for drought monitoring and forecasting over the Lake Urmia basin with the GA-SVR model;International Journal of Water,2018

2. Allen M. R. , BarrosV. R., BroomeJ., CramerW., ChristR., ChurchJ. A., ClarkeL., DaheQ., DasguptaP., DubashN. K. & EdenhoferO.2014IPCC Fifth Assessment Climate Change 2014: Synthesis Report. IPCC, Geneva, Switzerland.

3. Estimating scenarios for domestic water demand under drought conditions in England and wales;Water Science and Technology: Water Supply,2018

4. Extended fuzzy analytic hierarchy process approach in water and environmental management (case study: Lake Urmia Basin, Iran);Environmental Earth Sciences,2015

5. Introduction of new datasets of drought indices based on multivariate methods in semi-arid regions;Hydrology Research,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3