GIS-Based Emergency Management System for Chemical Industry Park

Yun Yun Li; Xiao Qin Shang; Ru Feng Liu

doi:10.4028/www.scientific.net/AMR.550-553.2941

Paper Titles

The Carbonic Acid Reaction of Phosphogypsum Decomposition Slag in the Three-Phase Fluidized Ded
p.2921

Research on Modeling Method of Thermodynamic Verifying Calculation for Heat-Supply Network
p.2927

Effects of Different Processing Techniques on the Properties of PLA
p.2932

Study on the Mean Value of Particle Concentration Signal in Silicon Power Fluidized Bed
p.2936

GIS-Based Emergency Management System for Chemical Industry Park
p.2941

Purification of D-(-)-Lactic Acid from Fermentation Broth Using Nanofiltration, Esterification, Distillation, and Hydrolysis Technique
p.2945

Sintering Behavior and Microwave Dielectric Properties of BaTi₄O₉ Ceramics Prepared from Different Size Powders by Sol-Gel Method
p.2953

Study on Intrinsic Safety and Volume Expansion Ratio of Liquefied Gas Cylinder
p.2958

Investigation on Laminar Flow Field Performances in a Dual-Impeller Stirred Tank
p.2964

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 550-553GIS-Based Emergency Management System for Chemical...

GIS-Based Emergency Management System for Chemical Industry Park

Abstract:

The chemical industrial park’s quick development has brought out many security and environment problem. For the common leakage accidents, it is urgently needed to build emergency response decision support system. The analysis of the accident is the crucial part of the system, in this paper the method of integrating GIS with diffusion model was used to simulate the three-dimensional diffusion process and predict the impact scope of the accident. The Pasquill-Gifford model and Gaussian diffusion model was introduced; Gaussian plume model was applied through the example to illustrate the method. The system is not just convenient for drawing up critical situation pre-arranged planning, but could offer timely assistant decision for emergency command.

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Periodical:

Advanced Materials Research (Volumes 550-553)

Pages:

2941-2944

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.550-553.2941

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Online since:

July 2012

Authors:

Yun Yun Li, Xiao Qin Shang, Ru Feng Liu

Keywords:

Chemical Industrial Park, Emergency Management System, Gaussian Diffusion Model, GIS, Integration, Pasquill-Gifford Model

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