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Modeling of the Air-Pollution Emergency Situations Control and Geographical Information Processing for Rescue Decision Making

机译:空气污染紧急情况控制和地理信息处理的救援决策建模

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GEPSUS, decision support system for handling hazardous air pollutant releases was developed based on a Gaussian simulation model of air pollution dispersion using MATLAB. For the Gaussian model the following assumptions apply: a) the smokestack emission is constant and continuous, b) flat homogeneous terrain, and c) the wind speed is constant. It is assumed that in the main wind direction, x, advection dominates over diffusion and dispersion. A detailed outline of the system integration is provided, which includes aspects of hydro-meteorological data, eco-toxicological data, Geographical Information Systems (GIS), user input, and system output including a description of threat zones and evacuation plans using a geo-browser. The Gaussian air-pollution dispersion simulation model is linked to the GIS by generating the output in KML file format. Several simulation scenarios were considered using meteorological data sets of wind speed, wind direction and ambient temperature. The developed simulation model and decision support system is intended to facilitate rapid emergency response for both deliberate and accidental air pollution releases. System dynamics model is developed to address the crisis mitigation issues.
机译:基于使用MATLAB的空气污染扩散的高斯模拟模型,开发了GEPSUS,用于处理有害空气污染物排放的决策支持系统。对于高斯模型,以下假设适用:a)烟囱排放是恒定且连续的,b)平坦的均匀地形,以及c)风速是恒定的。假设在主风向x上,对流在扩散和弥散上占主导地位。提供了系统集成的详细概述,其中包括水文气象数据,生态毒理学数据,地理信息系统(GIS),用户输入和系统输出,其中包括使用地理信息系统对威胁区域和疏散计划的描述。浏览器。通过以KML文件格式生成输出,将高斯空气污染扩散模拟模型链接到GIS。使用风速,风向和环境温度的气象数据集考虑了几种模拟方案。开发的仿真模型和决策支持系统旨在促进针对故意和意外的空气污染排放的快速应急响应。开发了系统动力学模型来解决危机缓解问题。

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