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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front Envir Sci Eng    0, Vol. Issue () : 839-848    https://doi.org/10.1007/s11783-012-0409-8
RESEARCH ARTICLE
Hazard and vulnerability evaluation of water distribution system in cases of contamination intrusion accidents
Kunlun XIN1, Tao TAO1(), Yong WANG2, Suiqing LIU1
1. College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; 2. Zhejiang Urban & Rural Planning Design Institute, Hangzhou 300072, China
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Abstract

In this paper, it proposed an index system for hazard and vulnerability evaluations of water distribution networks, based on the simulation of contamination events caused by pollutant injections at different junctions. It attempted to answer the following two questions in the case of contamination events: 1) Which are the most hazardous junctions? 2) Which are the most vulnerable junctions? With EPANET toolkit, it simulated the propagation of the contaminant, and calculated the peak concentration of the contaminant and mass delivered at different nodes. According to types of consumers, different weights were assigned to the consumer nodes for assessing the influence of the contaminant on the consumers. Using the method proposed herein, both the hazard index and vulnerability index were calculated for each node in the pipe network. The presented method was therefore applied to the water network of the city of Zhenjiang, which contains two water plants, two booster pump stations with storage tanks. In conclusion, the response time, the relationships between the peak concentration of contaminant and the total absorption are the most important factors in hazard and vulnerability evaluation of the water distribution network.

Keywords water distribution network      hazard      vulnerability      contaminant accident     
Corresponding Author(s): TAO Tao,Email:taotao@tongji.edu.cn   
Issue Date: 01 December 2012
 Cite this article:   
Kunlun XIN,Tao TAO,Yong WANG, et al. Hazard and vulnerability evaluation of water distribution system in cases of contamination intrusion accidents[J]. Front Envir Sci Eng, 0, (): 839-848.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-012-0409-8
https://academic.hep.com.cn/fese/EN/Y0/V/I/839
Fig.1  Distribution of schools and hospitals in Zhenjiang pipe network
node IDelevation/mbase demand/( L·s-1)type
Nzhshxlu49011.60.47school
Nbglu538131.26school
XZN12844311.40.45school
N64908.50.25school
Nzjlu1365.10.26school
Nzhenjiang60107.36.32school
Ndwlu1807.20.35school
Nhchdlu6615.22.42school
Nthwlu018.61.03school
Ndllu1417.10.45school
Nbtshlu39511.71.12school
Nshzhlu2537.61.68school
Njfblu9137.75.26school
Nhchdlu2115.12.26school
Nzhblu1478.72.1school
Ndxlu7977.30.75school
Ndxlu81372.45school
Nnmdj3459.43.52school
Nxqj11227.32.86school
Nhshw0212.42.26school
Nnmdj3668.70.63school
Nhchdlu73102.65school
Nhshw0410.52.11school
XZN12746912.70.25school
Nhshxlu26718.20.33school
Nzhenjiang60379.70.49school
ZXXZN12813718.524.62school
Npmshlu220.22.17school
XZN12744210.30.49school
XZN127468160.43school
Ndllu997.80.79school
XZN12748422.31.35school
Ndwlu986.72.93school
Nyhlu5511.42.35school
XZN12833316.10.68school
Nhchdlu1915.413.88hospital
Nbtlu1617.56.1hospital
Nqymlu662180.54hospital
Nzhshdlu3148.50.6hospital
Nshjlu2397.43.55hospital
Nzhshxlu31811.63.13hospital
Nnmdj3479.411.5hospital
Njjlu4529.82.04hospital
Nhshxlu268170.76hospital
Njhj59010.10.88hospital
Njfblu8397.40.59hospital
Nshjlu2337.43.71hospital
Ndxlu8326.90.68hospital
Tab.1  List of school and hospital nodes
Fig.2  Flow chart of assessment process
response time=30 minresponse time=6 hresponse time=24 h
IDindex valueIDindex valueIDindex value
N62601.0122N278101.0056N273522.0000
N65091.0000XZN1274641.0000N273541.0879
N65081.0000XZN1274870.9934Resvr N59540.9316
XZN1278990.9401N65090.9791Ngtqlu5630.7594
Ngglx7520.7841N65080.9791Nbtshlu4080.7528
N65240.7473N64980.9791N280910.7293
N65220.7473Ndmqlu7650.9791Ndmqlu7260.7102
Nnmdj3430.7466N61640.9791N274050.7030
XZN1282130.6122N64950.9776N274110.6918
Nhchdlu770.6002Ndmqlu7260.9533N273510.6876
Nzhshdlu2060.5988Nbtshlu4080.9473N274040.6788
Njflu420.5956N62600.8705Ngtqlu5670.6778
Nqymlu6630.5812XZN1278990.7835Ngtqlu5610.6763
Njflu260.5711Ntqlu720.7411Ngtqlu5580.6755
Nyalu6890.5601N273550.7403Ngtqlu5200.6594
Nzjlu1780.549362110.7396Ngtqlu5640.6588
XZN1274610.5425Nzhenjiang61250.7394N282230.6586
Nbglu5610.5219Nthwlu2000.7285N274010.6529
N62810.5158N65240.7285N274060.6479
Nnmdj4610.5079N65220.7285Ngtqlu5040.6439
N64980.5000THWN287720.7284Nzhblu2200.6219
N61640.5000XZN1287540.7261Ngtqlu5720.6207
Ndmqlu7650.5000Ndxlu8320.7226N282220.6207
Nzhshdlu2010.4980Nhchdlu600.6810Ngtqlu5520.6193
N62590.4946Nzhshdlu2370.6758Ngtqlu9390.6133
Nchjlu1480.4876N277500.6696N64980.6091
Ndwlu530.4670Ndmqlu7250.6686Nzhblu1960.6075
Njfblu8650.4644Nhchdlu320.6633N64950.5954
Npmshlu610.4611Nhchdlu210.6562N274100.5922
N273670.4469Nhchdlu190.6545N65090.5874
Tab.2  List of top 30 highest hazard nodes
Fig.3  Top 30 highest hazard nodes.
RT= 30 min, (RT= 6 h), (c) RT= 24 h;
Fig.4  Contribution of indicators in hazard assessment
Fig.5  Top 30 highest vulnerable nodes.
(a) only TCM, (b) only TPC, (c) TCM and TPC;
Fig.6  The spatial distribution of TPC
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