Study Of Fire Risk Assessment For Tianjin Harbor Chemical Industrial Park Based On GIS

Urbanization is an inevitable trend for the development of human society in the future, is also a necessary step toward modernization for a country, and petrochemical industry actor an indispensable role in this process. With the rapid development of economy and the structure adjustment of industrial, many large chemical industrial parks with agglomeration benefits have emerged. Chemical Industry Park gathered all kinds of chemical companies, there are a lot of major hazards. It will easily lead to heavy casualties and property losses, and even cause adverse social impact once the fire accident. In order to improve the level of fire safety in the chemical park, the scientific planning of fire-fighting has to be made based on good understanding of fire risk level in different areas as a whole. Therefore, the study of chemical fire risk has important academic and social value for the risk assessment of a large chemical industrial park.In this thesis, Tianjin Harbor Chemical Industrial Park was chosen as a subject of study. On the basis of overall investigation and statistics, we established the database for the CIP by the powerful management of spatial data and attribute data in GIS, and analyzed the major hazards. Based the features of areas fire risk assessment and the influences of the obtained date, an index system for the assessment of fire risk for CIP is built. The weight of index was determined by the method of Analytical Hierarchy Process (AHP).The fire risk assessment maps in Tianjin Harbor CIP was obtained by the powerful data analysis capabilities of GIS. Analysis of the level of fire risk level of each region, provide scientific guidance for the development and transformation of the chemical park situation. Also help to identify and exclude significant fire risk hazard.In this paper, regional fire risk assessment was conducted by the help of powerful data management and spatial analysis capabilities in GIS, with strong operability, easy to practical application, etc. compared to traditional statistical methods. And it proved the advantages of GIS in fire risk assessment.