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基于水质保障率下感潮河网地区点源和非点源污染排放强度的水环境容量计算

Water Environmental Capacity Calculated Based on Point and Non-Point Source Pollution Emission Intensity under Water Quality Assurance Rates in a Tidal River Network Area.

机构信息

Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China.

Jiangsu Provincial Academy of Environmental Sciences, Nanjing 210036, China.

出版信息

Int J Environ Res Public Health. 2019 Feb 1;16(3):428. doi: 10.3390/ijerph16030428.

DOI:10.3390/ijerph16030428
PMID:30717255
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6388123/
Abstract

A mathematical model for simulating hydrodynamics and pollutants migration in a tidal river network was constructed, which takes the temporal and spatial distribution of rainfall runoff and non-point pollutants into consideration. Under the design hydrologic conditions of a typical hydrological year, the daily concentration change process for the control section is obtained. Aiming at the uncertainty of hydrology and water quality parameters such as flow direction, flow rate and concentration change in tidal river network area, a statistical analysis method is used to obtain the maximum allowable concentration of pollutants in the control section under the condition of the water quality standard assurance rate of. Then, a formula for calculating the pollutions emission intensity of point and non-point sources is derived. The method was applied to the pollution source control in a typical region like Taihu in China.

摘要

构建了一个潮汐河网水动力及污染物迁移的数值模型,该模型考虑了降雨径流和非点源污染物的时空分布。在典型水文年的设计水文条件下,得到了控制断面的日浓度变化过程。针对潮汐河网区域水流方向、流量和浓度变化等水文学和水质参数的不确定性,采用统计分析方法,得到在保证水质标准达标率为 95%的条件下,控制断面的污染物最大允许浓度,进而推求点源和面源污染物排放强度的计算公式。并将该方法应用于中国太湖流域等典型区域的污染源控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/5ccf13b67624/ijerph-16-00428-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/6ea9f6b446bf/ijerph-16-00428-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/d65db01027af/ijerph-16-00428-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/aabe15ce2f6a/ijerph-16-00428-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/e5acd41c4f6a/ijerph-16-00428-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/5ccf13b67624/ijerph-16-00428-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/6ea9f6b446bf/ijerph-16-00428-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/d65db01027af/ijerph-16-00428-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/aabe15ce2f6a/ijerph-16-00428-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/e5acd41c4f6a/ijerph-16-00428-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/6388123/5ccf13b67624/ijerph-16-00428-g005.jpg

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本文引用的文献

1
Environmental capacity of nitrogen and phosphorus pollutions in Jiaozhou Bay, China: modeling and assessing.中国胶州湾氮磷污染物环境容量:模拟与评估。
Mar Pollut Bull. 2011;63(5-12):262-6. doi: 10.1016/j.marpolbul.2010.12.017. Epub 2011 Jan 21.
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Water quality modeling for load reduction under uncertainty: a Bayesian approach.不确定性条件下负荷削减的水质模型:一种贝叶斯方法。
Water Res. 2008 Jul;42(13):3305-14. doi: 10.1016/j.watres.2008.04.007. Epub 2008 Apr 15.
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Spatial and temporal variations of water quality in Cao-E River of eastern China.
中国东部曹娥江水质的时空变化
J Environ Sci (China). 2006;18(4):680-8.