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作 者:刘珮勋 付佳伟 皮家骏 刘成林[2] LIU Peixun1, FU Jiawei1, PI Jiajun2, LIU Chenglin2(1. Jiangxi Provincial Institute of Water Science, Nanchang 330029, Jiangxi, China; 2. School of Civil Engineering and Architecture, Nanehang University, Nanehang 330031, Jiangxi, Chin)
机构地区:[1]江西省水利科学研究院,江西南昌330029 [2]南昌大学建筑工程学院,江西南昌330031
出 处:《水力发电》2018年第4期1-5,共5页Water Power
基 金:南昌大学研究生创新专项资金项目(CX2016112)
摘 要:为解决大尺度城市非点源污染的定量难题,引入SWAT分布式水文模型,借助流域边界确定法,将绍兴市的非点源污染问题转化为流域非点源污染问题,并利用2011年月水质监测数据,对模型的参数进行了率定,氨氮和总氮在校准期与验证期的相对误差均低于30%,说明建立的SWAT模型满足研究区非点源污染的定量精度。以1992年~2011年降水为驱动,对流域尺度的非点源进行了分布式模拟,利用地统计学分析方法(Geography Statistic Method,GSM)分析了绍兴市非点源氮的时空分布特征,识别出了非点源氮污染关键源区,为绍兴市非点源污染的削减与控制提供依据。To solve the quantitative problem of large-scale urban non-point source pollution, taking Shaoxing city as an example, the urban non-point source problem is converted to watershed non-point source problem by using SWAT model and watershed edge determined method. The model is calibrated and validated by using observed data from January to December in 2011. The results show that the average relative error of the NH4 -N and TN are all less than 30%. It is suggested the calibrated model can be applied in modeling non-point source pollution of study area. Based on the precipitation during 1992- 2011, the temporal-spatial distribution of urban non-point source in Shaoxing City is analyzed by using Geography Statistic Method and the critical source areas are identified. The study results are helpful to reduce and control the urban non-point source pollution in Shaoxing city.
关 键 词:城市非点源污染 非点源氮 关键源区 SWAT模型 绍兴市
分 类 号:X524[环境科学与工程—环境工程]
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