SWAT模型是美国农业部开发的一个进行流域水文与非点源污染模拟的优选模型,北美与我国土壤分类系统差异而导致的SWAT模型土壤数据库在我国难于建立的问题是影响此模型在我国应用的瓶颈。鉴于此,以阿什河为例,采用联合国粮农组织公开的和谐世界土壤数据库1.1版为基础数据,结合SPAW模型计算,探索了一种便捷、有效的SWAT模型土壤数据库的本土化构建方法。经过检验,构建的阿什河流域SWAT模型的月相关系数(R^2)达到了0.894、纳什效率(ENS)达到了0.892,取得了非常好的模拟效果。该方法可推进SWAT模型在我国的应用,提高我国流域水文和面源污染模拟与防控研究水平。
SWAT model, which is developed by USDA, is a preferred model to do a hydrological and non-point source pollution simulation. Due to the differences between the North American and Chinese soil classification systems, it is hard to establish the SWAT model soil database in China, and this is the reason why its application is limited in China. In the case of Ashihe Basin, a kind of convenient and effective localization method for SWAT model soil database was explored on the basis of Harmonized World Soil Database (HWSD) version 1.1 which is provided by FAO freely and combining with SPAW model. After establishing and validating the SWAT model of Ashihe Basin, it was found that monthly related coefficient (R^2 ) reached 0. 894 and Nash-Sutcliffe coefficient ( ENS ) reached 0. 892. The simulated result was very good. This method can promote the application of SWAT model in China and improve the research level of hydrological and non-point source pollution simulation and control.