Modelling airborne dispersion for disaster management

2017 International Conference on Space Science and Communication

物理学;无线电电子学

Musliman, I.A.^1 ; Yohnny, L.^1

Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai, Johor Bahru

81310, Malaysia^1

关键词: Catastrophic event;    Convex hull algorithm;    Decision making process;    Developed applications;    Disaster management;    Emergency handling;    Industrial disasters;    Lagrangian particle dispersions;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/852/1/012026/pdf
DOI  :  10.1088/1742-6596/852/1/012026

来源: IOP

【 摘 要 】

Industrial disasters, like any other disasters, can happen anytime, anywhere and in any form. Airborne industrial disaster is a kind of catastrophic event involving the release of particles such as chemicals and industrial wastes into environment in gaseous form, for instance gas leakages. Unlike solid and liquid materials, gases are often colourless and odourless, the particles are too tiny to be visible to the naked eyes; hence it is difficult to identify the presence of the gases and to tell the dispersion and location of the substance. This study is to develop an application prototype to perform simulation modelling on the gas particles to determine the dispersion of the gas particles and to identify the coverage of the affected area. The prototype adopted Lagrangian Particle Dispersion (LPD) model to calculate the position of the gas particles under the influence of wind and turbulent velocity components, which are the induced wind due to the rotation of the Earth, and Convex Hull algorithm to identify the convex points of the gas cloud to form the polygon of the coverage area. The application performs intersection and overlay analysis over a set of landuse data at Pasir Gudang, Johor industrial and residential area. Results from the analysis would be useful to tell the percentage and extent of the affected area, and are useful for the disaster management to evacuate people from the affected area. The developed application can significantly increase efficiency of emergency handling during a crisis. For example, by using a simulation model, the emergency handling can predict what is going to happen next, so people can be well informed and preparations works can be done earlier and better. Subsequently, this application helps a lot in the decision making process.