期刊文献+

基于逆建模技术的淮河干流长台关-息县段入河污染负荷评估

Estimation of pollution load in Changtaiguan-to-Xixian section of main stream of Huaihe River based on inverse modeling technology
下载PDF
导出
摘要 以淮河上游长台关-息县段为研究对象,以2008年为算例,根据研究区域汇流特征,建立分布式源模型,基于贝叶斯统计方法进行逆建模,利用断面水质序列实测资料,测算区域入河污染负荷及主要水质因子降解系数。结果表明:淮河上游长台关-息县段NH3-N、COD入河污染负荷总量分别为1.7万t/a、8.9万t/a;受主要入流面源污染负荷季节性影响,NH3-N入河污染负荷为657.55~2 014.99 t/月,COD入河污染负荷为3897.73~13311.83 t/月;研究区域水体环境NH3-N、COD降解系数分别为0.356/d、0.202/d,NH3-N、COD负荷模拟值和实测值的相关系数分别为0.943、0.979。 A distributed source model was established according to the confluence characteristics of the Changtaiguan-to- Xixian section upstream of the Huaihe River, through a case study from 2008. The inverse modeling was conducted based on the Bayesian statistical method. The measured data of the water quality at the studied section were used to calculate the pollution load flowing into the river and the degradation coefficients of the main water quality factors. The results show that the total pollution loads of NH3-N and COD in the study area were 17 000 t per year and 89 000 t per year, respectively. Affected by seasonal non-point source pollution loads, the pollution loads of NH3-N and COD were 657.55 t to 2014.99 t per month and 3 897.73 t to 13 311.83 t per month, respectively. The degradation coefficients of NH3-N and COD were 0.356 per day and 0. 202 per day, respectively. The correlation coefficients between simulated and measured values of NH3-N and COD were 0.943 and 0.979, respectively.
出处 《水资源保护》 CAS 2012年第3期28-31,37,共5页 Water Resources Protection
基金 国家水体污染控制与治理科技重大专项(2009ZX07210-010)
关键词 分布式源模型 逆建模技术 面源污染负荷 淮河干流 distributed source model inverse modeling technology non-point source pollution load main stream ofHuaihe River
  • 相关文献

参考文献8

  • 1李恒鹏,杨桂山,黄文钰,李兆富,金洋.太湖上游地区面源污染氮素入湖量模拟研究[J].土壤学报,2007,44(6):1063-1069. 被引量:38
  • 2杨淑静,张爱平,杨世绮,杨正礼.农业非点源污染现状分析及国内外研究进展[J].中国农业气象,2009,30(S1):82-85. 被引量:24
  • 3LIU Yong,YANG Ping-jian,HU Cheng,et al.Water quality modeling for load reduction under uncertainty:a Bayesian approach[J].Water Research,2008,42:3305-3314.
  • 4SHEN Jian,ZHAO Yuan.Combined Bayesian statistics and load duration curve method for bacteria nonpoint source loading estimation[J].Water Research,2010,44:77-84.
  • 5LI Zhan-ling,XU Zong-xue,SHAO Quan-xi,et al.Parameter estimation and uncertainty analysis of SWAT model in upper reaches of the Heihe river basin[J].Hydrological Processes,2009,23:2744-2753.
  • 6GABRIELE F,GIORGIO M.Bayesian approach for uncertainty quantification in water quality modelling:the influence of prior distribution[J].Journal of Hydrology,2010,392:31-39.
  • 7LUNN D J,THOMAS A,BEST N,et al.WinBUGS-a Bayesian modelling framework:concepts,structure,and extensibility[J].Statistics & Computing,2000,10:325-337.
  • 8MALVE O,QIAN S S.Estimating nutrients and chlorophyll a relationships in Finnish lakes[J].Environmental Science & Technology,2006,40 (24):7848-7853.

二级参考文献46

共引文献60

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部