研究了SWAT和ihaacres在伊朗不同气候区模拟水流中的性能

IF 1 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Atmosfera Pub Date : 2020-12-17 DOI:10.20937/atm.52740
Abazar Esmali, M. Golshan, A. Kavian
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引用次数: 7

摘要

据报道,较简单的模型由于其参数要求较低,比较复杂的模型性能更好。为了验证这一点,目前的研究将简单的降雨径流模型(IHACRES)与复杂的流域模型(SWAT)进行了比较。基于这两种方法,为伊朗三个气候不同(干旱、半干旱和半湿润)的流域开发了六个模型。在每种情况下计算决定系数(R2)和Nash-Sutcliffe模型效率系数(NS)。在干旱、半干旱和半湿润流域,SWAT模型(R2分别为0.52、0.68、0.66;NS分别为0.54、0.63、0.64)在相同的气候区优于IHACRES模型(R2为0.37、0.70、0.57;NS分别是0.22、0.57%、0.56)。总体而言,SWAT的表现优于IHACRES,尽管这两种模型在半干旱和半湿润流域都有可接受的表现。在干旱流域,IHACRES模型与SWAT相比表现不佳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the performance of SWAT and IHACRES in simulation streamflow under different climatic regions in Iran
It is often reported that simpler models, due to their low parameter requirements, perform better than more complex models. To test this, the current study compared a simple rainfall-runoff model (IHACRES) with a complex watershed model (SWAT). Based on these two approaches, six models were developed for three climatically distinct (arid, semi-arid and semi-humid) watersheds in Iran. The coefficient of determination (R 2 ) and the Nash-Sutcliffe model efficiency coefficient (NS) were calculated in each case. In arid, semi-arid, and semi-humid watersheds the SWAT model (R 2 = 0.52, 0.68, 0.66; NS = 0.54, 0.63, 0.64, respectively) outperformed the IHACRES model (R 2 = 0.37, 0.70, 0.57; NS = 0.22, 0.57, 0.56, respectively) for the same respective climate zones. Overall, SWAT performed better than IHACRES, although both models had acceptable performances in the semi-arid and semi-humid watersheds. In the arid watershed, the IHACRES model performed poorly compared to SWAT.
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来源期刊
Atmosfera
Atmosfera 地学-气象与大气科学
CiteScore
2.20
自引率
0.00%
发文量
46
审稿时长
6 months
期刊介绍: ATMÓSFERA seeks contributions on theoretical, basic, empirical and applied research in all the areas of atmospheric sciences, with emphasis on meteorology, climatology, aeronomy, physics, chemistry, and aerobiology. Interdisciplinary contributions are also accepted; especially those related with oceanography, hydrology, climate variability and change, ecology, forestry, glaciology, agriculture, environmental pollution, and other topics related to economy and society as they are affected by atmospheric hazards.
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