Enhancing the SWAT model for simulating denitrification in riparian zones at the river basin scale
Enhancing the SWAT model for simulating denitrification in riparian zones at the river basin scale
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DOI：
10.1016/j.envsoft.2017.03.017
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
L. Hoang;A. Griensven;A. Mynett
中科院分区：
文献类型：
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作者：
L. Hoang;A. Griensven;A. Mynett
河岸带虽然面积较小，但对硝酸盐的去除有很大影响。大多数关于河岸带的研究都是在小范围内进行的。直接大规模测量是不可行的，因此使用模型是一个很好的选择。本研究引入了一种改进的SWAT模型，称为SWAT_LS。实施了两项修改：(1)增加了从旱地到河岸带的水文路线；(2)根据河岸氮模型增加了一个模拟河岸带反硝化作用的模块。SWAT_LS被应用于丹麦的欧登塞河流域，这是一个排水密集的瓦片农业流域。与SWAT相比，SWAT_LS提供了同样好的径流性能，并在硝酸盐预测方面有了显著的改进。SWAT_LS预测，目前的河岸带只去除了4-17%的硝酸盐负荷，因为70%的河岸区由于实施了地下排水而被绕过。如果河岸地带完全不排水，这种能力将极大地增加到25%-85%。
Riparian zones have significant impact on nitrate removal despite their small areas. Most research on riparian zones have been implemented at small scales. Direct measurement at large scale is infeasible, thus using models is a good alternative. This study introduces a modified SWAT model, referred as SWAT_LS. Two modifications were implemented: (i) adding hydrological routing from upland areas to riparian zones; and (ii) adding a module to simulate denitrification in riparian zones based on the Riparian Nitrogen Model. SWAT_LS was applied to the Odense river basin in Denmark, a densely tile-drained agricultural river basin. Compared to SWAT, SWAT_LS provides an equally good performance for streamflow, and a significant improvement in nitrate predictions. SWAT_LS predicts that current riparian zones remove only 4–17% of nitrate loads because 70% of the riparian areas are bypassed due to subsurface drainage implementation. This ability would dramatically increase to 25–85% if riparian zones are entirely undrained.