基于SWAT模型的平原河湖水网区小流域径流过程模拟
Simulation of Runoff from a Small Lake Watershed Using SWAT
投稿时间:2018-07-20  修订日期:2019-03-19
中文关键词:平原河湖水网区  水系预定义  参数移植法  SWAT模型  径流模拟  
英文关键词:river-lake water network  pre-defined dataset  parameter transfer method  SWAT model  runoff simulation
基金项目:中国水科院科研专项(WE0145B532017); 水利部公益性行业科研专项 (201501030)
作者单位E-mail
丁洋 济南大学 水利与环境学院山东 济南 250022中国水利水电科学研究院北京 100038 1099848209@qq.com 
赵进勇 中国水利水电科学研究院北京 100038 zhaojy@iwhr.com 
徐征和 济南大学 水利与环境学院山东 济南 250022  
彭文启 中国水利水电科学研究院北京 100038  
冯 健 中国水利水电科学研究院北京 100038  
陈学凯 中国水利水电科学研究院北京 100038  
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中文摘要:
      模拟湖北省松滋市小南海流域径流过程,为未来运用SWAT模型诊断小南海流域面源污染的问题提供技术支撑。小南海流域地处洞庭湖生态经济区最上游,是洞庭湖上游重要生态涵养地。流域处于山地丘陵地区与平原河湖地区的交界地段,上游地区为山地丘陵区,下游地区为平原河湖区,水系结构和产流汇流过程较为复杂。该流域内无水文站点,水文资料缺失。选择了洞庭湖流域、鄱阳湖流域与梁子湖流域3个相似流域运用SWAT模型时所采用的水文参数,运用参数移植法确定了小南海流域的水文参数;对比基于DEM直接定义水系、使用Burn In功能对河网进行修正和 Pre-defined streams预定义水系3种水系定义方法,选择最适合的Pre-defined streams方法按照现状进行水文模拟。模型划分了25个子流域;验证结果表明确定系数R2与Nash-Sutcliffe效率系数Ens均大于0.85,说明使用水系预定义法及参数移植法的SWAT模型模拟小南海流域径流过程是可行的。
英文摘要:
      The Xiaonanhai River basin is a complex water network located in the upper reach of Dongting Lake, and it is an important ecological conservation area. In 2016, we simulated the runoff from the Xiaonanhai River basin using the Soil and Water Assessment Tool (SWAT) model. The SWAT model database for the basin included the digital elevation model (DEM), soil type, land use, hydrology and meteorology. There is no hydrological station in the river basin and parameter transfer was used to estimate hydrological parameters, based on parameter selection for SWAT modeling in three similar watersheds (those for Dongting Lake, Poyang Lake and Liangzi Lake). Further, the water systems in Xiaonanhai River basin were defined in three ways: (1) direct definition, based on the DEM; (2) river network modification using the Burn-In function; (3) using the pre-defined watershed and stream dataset in ArcSWAT. Results showed that the pre-defined streams method resulted in characteristics most consistent with those observed in the Xiaonanhai River watershed. After basin definition was completed, it was divided into 25 sub-basins and hydrological simulation of the Xiaonanhai river watershed was carried out. Flow data, calculated using the runoff formula, was used to verify the model. Verification results show that the determination coefficient (R2) and the Nash-Sutcliffe efficiency coefficient (ENS) were > 0.85. Although hydrological data was lacking, the SWAT model, using pre-defined hydrology and parameter migration methods, is reliable for simulating runoff in the Xiaonanhai River basin. The study provides technical support for assessing non-point source (NPS) pollution in the Xiaonanhai watershed using the SWAT model, as efforts to reduce NPS continue.
丁洋,赵进勇,徐征和,彭文启,冯 健,陈学凯.2019.基于SWAT模型的平原河湖水网区小流域径流过程模拟[J].水生态学杂志,40(2):7-13.
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