A real-time, rapid emergency control model for sudden water pollution accidents in long-distance water transfer projects

A real-time, rapid emergency control (EC) model is proposed to cope with sudden water pollution accidents in long distance water transfer project. The EC model outputs the method of EC based on pollutant properties. A generalized form of EC model is proposed and tested with a demonstrative project. The rapid prediction formulas of emergency control parameters (ECPs) are proposed under different states of water diversion. The closing times of check gates and pollution range are calculated by the rapid prediction formulas of ECPs. A case study is examined under the scenario of a sucrose spill in the demonstrative project conducted in the Fangshui to Puyang channel of the Beijing–Shijiazhuang Emergency Water Supply Project in the middle route of the South-to-North Water Transfer Project. The relative errors of peak concentration and arrival time of peak concentration are less than 20%. However, we could not use an actual toxic soluble pollutant to validate the EC model, so we performed the experiment with sucrose to test the EC model based on its concentration variation. The final result shows that the model is able to play a fundamental role in the decisions involved on Emergency Environmental Decision Support System.

[1]  Qiang Sun,et al.  SD-GIS-based temporal-spatial simulation of water quality in sudden water pollution accidents , 2011, Comput. Geosci..

[2]  Liang Dong,et al.  Concentration and source identification of polycyclic aromatic hydrocarbons and phthalic acid esters in the surface water of the Yangtze River Delta, China. , 2012, Journal of environmental sciences.

[3]  Guobin Xu,et al.  Emergency control system based on the analytical hierarchy process and coordinated development degree model for sudden water pollution accidents in the Middle Route of the South-to-North Water Transfer Project in China , 2016, Environmental Science and Pollution Research.

[4]  Lianxi Sheng,et al.  Ecological engineering restoration of a non-point source polluted river in Northern China , 2015 .

[5]  Julius Lissa Tommy,et al.  Water environment early warning index system in Tongzhou District , 2015, Natural Hazards.

[6]  Xiaosi Su,et al.  Transport and fate modeling of nitrobenzene in groundwater after the Songhua River pollution accident. , 2010, Journal of environmental management.

[7]  I. Seo,et al.  Analysis of pollutant transport in the Han River with tidal current using a 2D finite element model , 2007 .

[8]  Jie Sun,et al.  Risk analysis of emergent water pollution accidents based on a Bayesian Network. , 2016, Journal of environmental management.

[9]  Gary W. Brunner,et al.  HEC-RAS River Analysis System. Hydraulic Reference Manual. Version 1.0. , 1995 .

[10]  Daniel P. Ames,et al.  Large-scale analytical water quality model coupled with GIS for simulation of point sourced pollutant discharges , 2015, Environ. Model. Softw..

[11]  K. F. Liu,et al.  Sensitivity Analysis and Water Quality Modeling of a Tidal River Using a Modified Streeter–Phelps Equation with HEC-RAS-Calculated Hydraulic Characteristics , 2012, Environmental Modeling & Assessment.

[12]  Mark D Abkowitz,et al.  Application of an enhanced spill management information system to inland waterways. , 2010, Journal of hazardous materials.

[13]  W. Duan,et al.  The situation of hazardous chemical accidents in China between 2000 and 2006. , 2011, Journal of hazardous materials.

[14]  Li Feng,et al.  Construction of a technique plan repository and evaluation system based on AHP group decision-making for emergency treatment and disposal in chemical pollution accidents. , 2014, Journal of hazardous materials.

[15]  Z. Todorovic,et al.  A geographic information system screening tool to tackle diffuse pollution through the use of sustainable drainage systems. , 2014, Water science and technology : a journal of the International Association on Water Pollution Research.

[16]  Jie Sun,et al.  Risk forecasting of pollution accidents based on an integrated Bayesian Network and water quality model for the South to North Water Transfer Project , 2016 .

[17]  Mei Li,et al.  A GIS-based generic real-time risk assessment framework and decision tools for chemical spills in the river basin. , 2012, Journal of hazardous materials.

[18]  Guangqian Wang,et al.  Digital Yellow River Model , 2007 .

[19]  H. Fischer Mixing in Inland and Coastal Waters , 1979 .

[20]  Dick de Zwart,et al.  The Flash Environmental Assessment Tool: worldwide first aid for chemical accidents response, pro action, prevention and preparedness. , 2014, Environment international.

[21]  Dibo Hou,et al.  A real-time, dynamic early-warning model based on uncertainty analysis and risk assessment for sudden water pollution accidents , 2014, Environmental Science and Pollution Research.

[22]  Yujun Yi,et al.  Water pollution risk simulation and prediction in the main canal of the South-to-North Water Transfer Project , 2014 .

[23]  C. Voss,et al.  Behavior of sensitivities in the one-dimensional advection-dispersion equation: Implications for parameter estimation and sampling design , 1987 .

[24]  Giorgio Mannina,et al.  Receiving water quality assessment: comparison between simplified and detailed integrated urban modelling approaches. , 2010, Water science and technology : a journal of the International Association on Water Pollution Research.