Distribution of Toxic chemicals and Disaster Risk Management – A case of Kaohsiung City

• Main Authors: Chong-wen Wang, 王重文
• Other Authors: Kang-Shin Chen
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/376822

碩士 === 國立中山大學 === 環境工程研究所 === 103 === Kaohsiung is a heavily industrialized city in southern Taiwan. Hundreds factories in the city may cause serious environmental pollutions and inhibitants may expose potential risk of chemical disaster. The disaster may cause severe casualties as well as have a negative impact on Taiwan’s competitive ability and domestic economic growth. For instance, the tragic gas explosion occurred at Cianjhen, Kaohsiung in August 2014 has caused incalculable damage to the area. At persent, more than a thousand of chemicals are utilized in the industries. The prevention of chemical disasters especially caused by toxic chemicals is crucial for the risk management of city government. This research first investigated the locations and operating status of toxic chemicals under each district of Kaohsiung City. The statistics indicates that the percentages of large-scale handling licenses and registration documents issued by Kaohsiung City are 1.88% and 8.26%. Most of them are petroleum refineries and chemical factories. And the percentages of approved documents which are lower than the large-scale handling standard and class 4 toxic chemical are 56.7% and 33.15% of the overall issued documents. The operational locations are mostly laboratories, inspection agencies, institutions, and few operating factories. On the part of disaster stimulation, the research will screen out the large-scale handling factories in each industrial area in Kaohsiung and analyze the stimulated spreading of toxic chemicals from class 1 to 3 in order to evaluate the damage and disaster prevention in which toxic chemicals leaking caused. This research focuses on the spread simulated analysis on the ejection speed of gas or fluid using direct ejection. The simulation setting takes wind speed, atmosphere conditions, ambient temperature, humidity, ejection height, and others into consideration for their effective range. The simulation accounts for the highest limit of each design variables.