Runoff simulation in data-scarce basins based on SWAT hydrological model
Runoff simulation in data-scarce basins based on SWAT hydrological model
复制标题
基于SWAT水文模型的数据稀缺流域径流模拟
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Xia Yu
中科院分区：
文献类型：
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作者：
Xia Yu
为了进行流域不同水功能区的水质管理，需要了解河流控制河段的径流情况。然而，流域内的水文站分布很少甚至缺乏。针对数据稀缺流域的径流预测，以长江灌江支流元河为例，建立了SWAT分布式水文模型。利用元河中上游潞西、茂州水文站的数据，根据相对误差、相关系数和Nash-Suttcliffe有效系数准则对模型进行了校正和验证，校正和验证的精度均满足标准要求。在没有历史观测数据的情况下对下游河段径流进行了模拟。结果表明，分布式水文SWAT模型具有物理机制，能够充分考虑流域水循环特征。因此，这是一种适用于数据稀缺流域径流预测的方法。
It is necessary to know the runoff conditions in controlling reaches of a river in order to carry out the water quality management in different water function zones of the river basin.However,hydrological gauge stations are usually scarcely distributed or ever lack the stations in a river basin.For the prediction of runoff in a data scarce watershed,a distributed hydrological model of SWAT is established in a case study of Yuanhe River,a tributary of Guanjiang River which belongs to the Yangtze River.During the case study,the SWAT model is constructed by using the data from the Luxi and Maozhou hydrological stations located at the upper to middle reaches of the Yuanhe River.The model calibration and verification are made according to criteria of relativity error,correlation coefficient and Nash-Suttcliffe effective coefficient.The accuracy of the calibration and verification meet the criteria requirements quite well.Runoff prediction in the downstream reaches without historical observation data is simulated.Results indicate that this method can fully considerate the characteristics of water cycle in the watershed because the distributed hydrological SWAT model has the physical mechanism of a river basin.Therefore,this is an applicable method for the prediction of runoff in data scarce watersheds.