DocumentCode :
2462944
Title :
Identifying principle and method for atmospheric environmental risk sources
Author :
Peng, Jianfeng ; Song, Yonghui ; Ma, Yue ; Yuan, Peng ; Feng, Xiaoyou ; Zhang, Shasha
Author_Institution :
Sect. of Urban Water Environ. Res., Chinese Res. Acad. of Environ. Sci., Beijing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
5022
Lastpage :
5025
Abstract :
Though the atmospheric environment accident occurred frequently in recent years, there has been still no effective method for risk sources identification now. Based on simulating the whole process of accident, namely the sources, the development and the influences of the atmosphere environmental accident, a model database was constructed. Additionally, an identification method for Atmospheric Risk Sources (ARS) with good adaptability and dynamic simulation was developed. A chemical industrial zone was taken to illustrate the identification method. The results showed that there were six ARS, including two Grade-I risk sources, one Grade-II risk sources, and two Grade-III risk sources in this chemical industrial zone. The major environmental risk of Grade-I sources came from the leakage of ethylene oxide induced by the fire/explosion of raw material tank in WE or NT chemical factories. If the accident would occur, the people in the ranges of 141000 m2 would be hurt, and in the ranges of 326000 m2 should be temporarily evacuated. The major risk of Grade-II sources was from the propylene leakage induced by fire/explosion, which was stored in the product tank in JPH chemical factory.
Keywords :
chemical industry; explosions; industrial accidents; raw materials; risk analysis; tanks (containers); JPH chemical factory; accident; atmospheric environmental risk sources; chemical factories; chemical industrial zone; dynamic simulation; ethylene oxide leakage; fire-explosion; propylene leakage; raw material tank; Accidents; Atmospheric modeling; Chemicals; Hazardous materials; Industries; Risk management; atmospheric environment; identification; risk source; whole process modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5965441
Filename :
5965441
Link To Document :
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