GIS-Based Emergency Management System for Chemical Industry Park

2012 ◽  
Vol 550-553 ◽  
pp. 2941-2944 ◽  
Author(s):  
Yun Yun Li ◽  
Xiao Qin Shang ◽  
Ru Feng Liu

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.

2013 ◽  
Vol 785-786 ◽  
pp. 1384-1387 ◽  
Author(s):  
Xiao Qin Shang ◽  
Yun Yun Li ◽  
You Pan ◽  
Ru Feng Liu ◽  
Ya Ping Lai

Applying diffusion model in gas leakage incident consequences analysis could provide favorable technical support and professional assistant method for accident emergency response with great realistic significance for industrial transfer park. The core of analysis lies in the selection and rational use of diffusion model. GPM for continuous released condition with some foundation hypothesis conditions should be modified in practice. Comprehensive amendment was discussed and implemented in this paper based on actual circumstance situation in order to achieve the objective of higher accurater analysis. The improvement successfully enhances the model analysis ability and applicability, which could play a role as an important component in the emergency response system for the parks management.


Author(s):  
Rubens Maciel Miranda Pinheiro ◽  
Wilton Pereira da Silva ◽  
Denise Silva do Amaral Miranda ◽  
Cleide M. D. P. S. eSilva ◽  
Taciano Pessoa

2014 ◽  
Vol 587-589 ◽  
pp. 780-783
Author(s):  
Jia Yang Li ◽  
Feng Guo ◽  
Ya Nan Li

The causes of atmospheric fine particles PM2.5 are complicated and are influenced by multiple factors conditions. Considering the analysis of the diffusion problem under the direction of the wind change, this paper proposes a gray theory and a new way of combining Gaussian plume model, namely the MGM - Gaussian plume diffusion model. Draw the diffusion area of PM2.5 under the influence of the wind.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Wilton Pereira da Silva ◽  
Cleide M. D. P. S. e Silva ◽  
Kalina Lígia Cavalcante de Almeida Farias Aires

The mass migrations during osmotic dehydration of guava were studied. Parallelepiped shaped slices were dipping in syrup of distilled water and sucrose with two concentrations and two temperatures. It was supposed that a three-dimensional diffusion model with boundary condition of the first kind satisfactorily describes the mass migrations and that the volume and effective mass diffusivities can be assumed constant during the process. The effective mass diffusivities were determined by coupling the three-dimensional analytical solution of the diffusion equation with an optimizer based on the inverse method. The proposed model well described the kinetics of water and sucrose migrations and enabled determining the mass distributions (water and sucrose) within the product at any instant.


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