Prediction of climate change effects on the runoff regime of a forested catchment in northern Iran

被引:5
|
作者
Hajian, Farhad [1 ,2 ]
Dykes, Alan P. [3 ]
Zahabiyoun, Bagher [4 ]
Ibsen, Maia [3 ]
机构
[1] Univ Kingston, Sch Nat & Built Environm, Kingston Upon Thames, Surrey, England
[2] Islamic Azad Univ, Neyshabur Branch, Dept Civil Engn, Neyshabur, Iran
[3] Univ Kingston, Sch Nat & Built Environm, Ctr Engn Environm & Soc Res, Kingston Upon Thames, Surrey, England
[4] Iran Univ Sci & Technol, Sch Civil Engn, Water Resources Engn Grp, Tehran, Iran
关键词
Northern Iran; climate change; runoff modelling; weather generator; rainfall patterns; RIVER-BASIN; PRECIPITATION; UNCERTAINTY; FREQUENCY; IMPACTS; TRENDS; VARIABILITY; SENSITIVITY; DISCHARGE; EXTREMES;
D O I
10.1080/02626667.2016.1171870
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The southern coast of the Caspian Sea in northern Iran is bordered by a mountain range with forested catchments which are susceptible to droughts and floods. This paper examines possible changes to runoff patterns from one of these catchments in response to climate change scenarios. The HEC-HMS rainfall-runoff model was used with downscaled future rainfall and temperature data from 13 global circulation models, and meteorological and hydrometrical data from the Casilian (or Kassilian) Catchment. Annual and seasonal predictions of runoff change for three future emissions scenarios were obtained, which suggest significantly higher spring rainfall with increased risk of flooding and significantly lower summer rainfall leading to a higher probability of drought. Flash floods arising from extreme rainfall may become more frequent, occurring at any time of year. These findings indicate a need for strategic planning of water resource management and mitigation measures for increasing flood hazards.
引用
收藏
页码:2729 / 2739
页数:11
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