利用改进的SWAT模型多水源灌溉模块,将水资源配置模型的农业灌溉用水展布到改进后的SWAT模型中,实现二模型的松散式耦合。以天津为例,对SWAT模型进行参数调整和验证后,由耦合模型计算天津13个区(县)8种代表作物在水资源合理配置结果下的灌溉水量和相应的ET。耦合模型中的SWAT模型的灌溉水量接近配置模型结果,且ET的时空分布比较合理,耦合模型模拟精度较常规SWAT模型大幅提高,这种分布式水文模型与配置模型的耦合为流域水资源管理提供了一种新的途径。
We have converted the output data of Water Allocation Model (WAM for short) and imported it into the improved SWAT model (ISWAT for short) which is capable to fetch water from various water sources, and established a coupling model of these two models. After adjusting validating the ISWAT, we applied the coupling model to calculate the amount of irrigation and ET of 8 crops in 13 counties of Tianjin of China. Of the coupling model, the irrigation amount of ISWAT is close to the result of the WAM and the ET amount of the 8 crops is reasonable, which means it is more accurate to couple the ISWAT with the WAM than the traditional SWAT model and the coupling model is able to facilitate basin water management.