Wang Xue-Lei, Liu Chang-Ming, Yang Sheng-Tian, Mannaerts C M, Gao Yun-Fei, Li Qian
State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing 100875, China.
Huan Jing Ke Xue. 2009 Sep 15;30(9):2502-11.
An eco-hydrological model system (RIP_ N) was constructed to simulate the nitrogen (N) removal by riparian zone in reservoir catchment scale. As a case study, the N removal in Guanting Reservoir riparian zone from March to September in 2007 was estimated. At same time, the field simulated experiment was carried out in Yanqing experimental station, which lies in the northeast part of the catchment. With the experimental data and previous studies, the RIP_ N model was calibrated. RIP_ N model was consisted with two parts, which were soil chemical process modeling and plant growth modeling. Soil chemical processes considered the soil denitrification, nitrification and ammonium volatilization. Plant growth included net primary productivity (NPP) module, plant production allocation module and nutrition uptake module. The research indicated that the correlation coefficient between simulated value and monitored value was larger than 0.5, which proved the effectiveness and reliability of RIP_ N model in catchment scale simulating. The simulated results showed that the N removal loss by riparian zone in Guanting Reservoir catchment from March to September was 5.91 x 10(3) t. The model also identified the N removal functions of different land use. At present land use condition, the bottomland, forest land and grassland contributed positively environmental benefits and removed most of N. In the temporal scale, the N removal from March to September consisted 76.5% of annual removal load. On the contrary, the wetlands just removed 5.9% of N of whole watershed. By comparison, the riparian zone was recognized as critical location for non point source pollution prevention.
构建了一个生态水文模型系统（RIP_N），以模拟水库集水区尺度河岸带的氮去除情况。作为案例研究，估算了2007年3月至9月官厅水库河岸带的氮去除量。同时，在集水区东北部的延庆实验站开展了田间模拟实验。利用实验数据和先前的研究对RIP_N模型进行了校准。RIP_N模型由两部分组成，即土壤化学过程建模和植物生长建模。土壤化学过程考虑了土壤反硝化、硝化和铵挥发。植物生长包括净初级生产力（NPP）模块、植物生产分配模块和养分吸收模块。研究表明，模拟值与监测值之间的相关系数大于0.5，证明了RIP_N模型在集水区尺度模拟中的有效性和可靠性。模拟结果表明，官厅水库集水区3月至9月河岸带的氮去除损失量为5.91×10³t。该模型还确定了不同土地利用方式的氮去除功能。在当前土地利用条件下，滩地、林地和草地产生了积极的环境效益，去除了大部分氮。在时间尺度上，3月至9月的氮去除量占年去除负荷的76.5%。相反，湿地仅去除了全流域5.9%的氮。相比之下，河岸带被认为是防治面源污染的关键位置。
