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引用本文:白晓燕,位 帅,时 序,等.基于HSPF模型的东江流域降水对非点源污染的影响分析[J].灌溉排水学报,2018,37(7):112-119.
BAI Xiaoyan,WEI Shuai,SHI Xu,et al.基于HSPF模型的东江流域降水对非点源污染的影响分析[J].灌溉排水学报,2018,37(7):112-119.
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基于HSPF模型的东江流域降水对非点源污染的影响分析
白晓燕, 位 帅, 时 序, 陈晓宏
广东工业大学 环境科学与工程学院, 广州 510006; 中山市水库水电工程管理中心,广东 中山 528400; 中山大学 水资源与环境研究中心, 广州 510275;华南地区水循环与水安全广东省普通高校重点实验室, 广州 510275
摘要:
【目的】全面了解东江流域非点源污染负荷迁移特征及规律,更好地促进东江流域水环境治理和维持生态系统可持续。【方法】采用HSPF模型模拟了东江流域BOD、TN和TP非点源污染负荷的时空分布特征,分析了2007—2009年各非点源污染负荷与降水之间的关系。【结果】模型校准期和验证期间,水文过程月径流量和泥沙迁移过程年输沙量以及BOD、TN、TP污染负荷的率定误差Re均在15%以内,R2和Ens均在0.9左右;东江流域BOD、TN和TP非点源污染负荷主要集中在汛期(4—9月),分别占全年的86.7%、79.3%和85.5%,其中6月达到最高值,而枯水期(10月—翌年3月)则产生量较少,仅占全年的13.3%、20.7%和14.5%,其中1月出现最低值。【结论】 HSPF模型可较好地应用于东江流域非点源污染负荷模拟;流域内的BOD、TN和TP非点源污染负荷的形成和分布受降雨影响较大,除TN外,BOD和TP污染负荷空间分布与降水的空间分布基本吻合。
关键词:  HSPF; 降水; 非点源污染; 时空分布; 流域
DOI:10.13522/j.cnki.ggps.2017.0075
分类号:
基金项目:
Using the HSPF Model to Study the Effects of Precipitation on Nonpoint Source Pollution in Dongjiang Basin
BAI Xiaoyan, WEI Shuai , SHI Xu, CHEN Xiaohong
School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China; Reservoir and Hydropower Project Management Center of Zhongshan City, Zhongshan, 528400, China; Center for Water Resources and Environment, Sun Yat-sen University, Guangzhou 510275, China; Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Guangzhou 510275, China
Abstract:
【Objective】 Spreading of contaminants emanating from nonpoint pollutant sources depends on many factors and this paper investigated how it is affected by precipitation by taking the Dong River basin as an example. 【Method】We first simulated the spreading of BOD, total N (TN) and total P (TP) using the HSPF model, and then analyzed the relationship between the nonpoint pollution loading and the precipitation from 2007 to 2009. 【Result】The errors of the monthly runoff, the annual sediment discharge and the load of the three contaminants calculated by the model were all less than 15% with their R2 and Ens approximately of 0.9. The loading of BOD, TN and TP increased in flooding season from April to September with a peak in June, accounting for 86.7%, 79.3% and 85.5% of their annual total loading respectively. Outside this winding, the loadings of the three pollutants accounted for only 13.3%, 20.7% and 14.5% of their total annual loading, with a trough in January. 【Conclusion】 The HSPF model is capable of simulating non-point pollution loading in the Dong River basin; the spreading of BOD, TN and TP was predominantly impacted by precipitation. Except for TN, the spatial distributions of BOD and TP are consistent with that of the precipitation.
Key words:  HSPF; precipitation; non-point source pollution; temporal-spatial characteristics; River Basin