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
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