农业最佳管理措施在全分布式水文模型中的表达——以罗玉沟流域为例(英文)

Representation of Agricultural Best Management Practices in a Fully Distributed Hydrologic Model:A Case Study in the Luoyugou Watershed

农业最佳管理措施(BMPs)是为了减少由农业活动引起的非点源污染,防止污染物进入受纳水体的一系列措施。分布式水文模型是流域非点源污染模拟和BMPs评估的重要工具。利用分布式水文模型评估BMPs在水土保持、拦沙减污的有效性,首先要在模型中对BMPs进行刻画和表达。但是,在全分布式水文模型中,如何进行BMPs表达的研究比较缺乏。本文以黄土高原丘陵沟壑区典型小流域罗玉沟流域为例,基于一个全分布式模型,SEIM(Spatially Explicit Integrated Modeling)模型,逐步介绍如何在该模型中进行BMPs的表达,以及评估它们的水文响应。罗玉沟流域面积约为73 km2,流域内侵蚀严重,其中暴雨侵蚀占年平均输沙量的60%以上。本研究选择了3种BMPs,分别是退耕还林、梯田和免耕耕作,并在模型中对这些管理措施进行表达。措施表达的方法是通过修改该措施所在地块的主要物理参数,以此来描述其对流域水文过程的影响。通过在一个暴雨事件的情景模拟,结果表明梯田的减沙效益较高,最大到达97.3%,免耕措施的平均减沙率最小,约为9.5%,退耕还林的平均减沙率介于这两者之间,为75.6%。

Agricultural Best Management Practices （BMPs） are effective ways to reduce agricultural nonpoint source pol ution from their source area to receiving water bodies. Characterization of BMPs in a watershed model is a critical prerequisite for evaluating their impacts on water quantity and water quality in a complex system. However, limited research has reported about the representation of BMPs in fully distributed models. This paper presents a stepwise procedure for representation of several BMPs and assessment of their hydrologic impacts with a ful y distributed model, SEIM （Spatially Explicit Integrated Modeling）. A case study is conducted in the 73 km2 Luoyugou watershed located in the Loess Plateau of China, where rainstorm erosion accounts for more than 60%of annual sediment load in average. Three BMPs are selected in this study including （i） conversion from farmland to forest, （i ） terrace, and （i i） no-til farming. These management practices are represented in the model through the alteration of model parameters characterizing their physical processes in the ifeld. The results of scenario assessment for a historical storm event showed that the maximum sediment reduction after terrace is about 97.3%, the average sediment reduction after no-till farming is about 9.5%, and the average sediment reduction after conversion from farmland to forest is 75.6%.