基于SWAT模型的黄河源区径流模拟
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摘要
为了研究SWAT分布式水文模型在黄河源区的适用性,采用该模型对黄河源区径流进行模拟。使用黄河源区的DEM数据、土地利用数据、土壤数据和气象数据建立黄河源区的SWAT模型,利用SWAT-CUP软件和SUIF-2算法进行参数率定,以纳什效率系数(NSE)和相对误差(R_e)作为模型的评判标准,分析SWAT模型对黄河源区的径流模拟效果。结果表明:黄河源区月径流模拟值与实测值吻合较好,模型模拟率定期(1975—2000年)和验证期(2001—2012年)的NSE和R_e分别为0.81,-0.004和0.80,0.058,表明SWAT模型能够很好的模拟黄河源区的月径流。SWAT模型在黄河源区具有较好的适用性。
In order to study the applicability of the SWAT distributed hydrological model in the Yellow River source region, using this model to simulate the runoff in the Yellow River source region. Using the DEM data, land use data, soil data and meteorological data established the SWAT model of the Yellow River source region. Using the SWAT-CUP software and SUIF-2 algorithm to calibrate the parameters, and the Nash-Sutcliffe efficiency coefficient(NSE) and relative error(R_e) to evaluate model performance, the effect of SWAT model on runoff simulation of the Yellow River source region was analyzed. The results show that the simulated value of monthly runoff in the source area of the Yellow River is in good agreement with the measured value. The NSE and R_e of the model calibration period(1975—2000) and the validation period(2001—2012) are 0.81,-0.004 and 0.80, 0.058, respectively, indicating that the SWAT model can well simulate the monthly runoff in the study region. The SWAT model has good applicability in the Yellow River source region.
In order to study the applicability of the SWAT distributed hydrological model in the Yellow River source region, using this model to simulate the runoff in the Yellow River source region. Using the DEM data, land use data, soil data and meteorological data established the SWAT model of the Yellow River source region. Using the SWAT-CUP software and SUIF-2 algorithm to calibrate the parameters, and the Nash-Sutcliffe efficiency coefficient(NSE) and relative error(R_e) to evaluate model performance, the effect of SWAT model on runoff simulation of the Yellow River source region was analyzed. The results show that the simulated value of monthly runoff in the source area of the Yellow River is in good agreement with the measured value. The NSE and R_e of the model calibration period(1975—2000) and the validation period(2001—2012) are 0.81,-0.004 and 0.80, 0.058, respectively, indicating that the SWAT model can well simulate the monthly runoff in the study region. The SWAT model has good applicability in the Yellow River source region.
引文
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[2] 车骞.基于SWAT模型的黄河源区分布式水文模拟[D].兰州:兰州大学,2006.
[3] 杨军军.基于SWAT模型的湟水流域径流模拟研究[D].西宁:青海师范大学,2012.
[4] 吴恒卿,刘赛艳,黄强,等.基于SWAT模型的大通河流域径流模拟[J].西北农林科技大学学报,2015,43(9): 210 -213.
[5] 金君良,张建云,王国庆,等.黄河源区水文水资源对气候变化的响应[J].干旱区资源与环境,2013,27(5):138-144.
[6] 刘时银,鲁安新,丁永建,等.黄河上游阿尼玛卿山区冰川波动与气候变化[J].冰川冻土,2002,24(6):701-707.
[7] 张荣飞.基于SWAT模型的黄河流域宁夏段径流模拟研究[D].重庆:西南大学,2014.
[8] 张昂,李铁键,傅汪,等.基于卫星降水融合产品的黄河源区汛期径流模拟[J].应用基础与工程科学学报,2017,25(1): 6-21.
[9] 张丽,柳烨,蔡朵朵,等.SWAT模型参数自动校准方法对比及适用性研究——以泾河中上游地区为例[J].中国农村水利水电,2016(11):76-81.
[10] 白淑英,王莉,史建桥,等.基于SWAT模型的开都河流域径流模拟[J].干旱区资源与环境,2013,27(9):79-84.
[11] 郝振纯,张越关,杨传国,等.黄河源区水文模拟中地形和融雪影响[J].水科学进展,2013,24(3):311-318.
[12] 刘庆,张友静,刘祺,等.SWAT模型参数区域化在黄河源区的应用[J].河海大学学报(自然科学版),2012,40(5): 491-497.