4.5 Article

Influences of rainfall variables and antecedent discharge on urban effluent concentrations and loads in wet weather

期刊

WATER SCIENCE AND TECHNOLOGY
卷 75, 期 7, 页码 1584-1598

出版社

IWA PUBLISHING
DOI: 10.2166/wst.2017.020

关键词

correlation coefficients; event mean concentration (EMC); event pollution load per unit area (EPL); multiple linear regression equation; urban wet weather discharge (UWWD)

资金

  1. China's Major S&T Project on Water Pollution Control and Treatment [2013ZX07304-002]
  2. Shanghai Department of Science [13210701001, 13231201402]
  3. Shanghai Municipal Sewage Company, Ltd
  4. Municipality & Water Affairs Office of Xuhui District, Shanghai

向作者/读者索取更多资源

For storm drainages inappropriately connected with sewage, wet weather discharge is a major factor that adversely affects receiving waters. A study of the wet weather influences of rainfall-discharge variables on storm drainages connected with sewage was conducted in the downtown Shanghai area (374 ha). Two indicators, event mean concentration (EMC) and event pollutant load per unit area (EPL), were used to describe the pollution discharge during 20 rain events. The study showed that the total rainfall and discharge volume were important factors that affect the EMCs and EPLs of the chemical oxygen demand, total phosphorus, and especially those of NH4(+)-N. The pollutant concentrations at the beginning of the discharge and the discharge period were also major factors that influence the EMCs of these three pollutants. Regression relationships between the rainfall-discharge variables and discharge volume/EPLs (R-2 = 0.824-0.981) were stronger than the relationships between the rainfall-discharge variables and EMCs. These regression equations can be considered reliable in the system, with a relative validation error of less than +/- 10% for the discharge volume, and less than +/- 20% for the EPLs. The results presented in this paper provide guidance for effectively controlling pollution in similar storm drainages.

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