一种基于GIS的突发性大气污染事故推演数据生成方法  

Aeduction data generation method of unexpected atmospheric pollution accident based on GIS

作　　者：陈秋萍[1] 邬群勇[1] 马亨冰[2] 

机构地区：[1]福州大学福建省空间信息工程研究中心,福建福州350002 [2]福建省经济信息中心,福建福州350002

出　　处：《自然灾害学报》2013年第6期195-202,共8页Journal of Natural Disasters

基　　金：国家863计划(2012AA022007);福建省自然科学基金资助项目(2011J01168)

摘　　要：研究了基于GIS的突发性大气污染事故推演数据的生成方法,并基于推演数据进行了事故的推演模拟。以某大气事故为例,结合大气污染扩散高斯模型,生成了大气污染时空分布数据,利用ArcGIS空间分析功能分析确定了参与应急的队伍、物资及其调度路线,并根据应急方案的推演需求分析得出了应急队伍和资源调度的时空分布数据,然后基于这些时空分布数据,利用ArcGIS的可视化和时态数据推演功能实现了对大气污染应急方案的推演。基于GIS的大气污染事故推演数据生成方法和事故推演方法不仅可以降低应急系统开发人员的开发难度,并且对于应急数据的组织、查询、管理、可视化以及进一步深层次分析均具有突出的优势。This paper studied a deduction data generation method of unexpected atmospheric pollution accident based on GIS, and conducted the deductive simulation for accidents based on the deduction data. Taking an atmospheric accident as example, the paper first generated the spatiotemporal distribution data of atmospheric pollution based on Gaussian model of air pollution diffusion; then determined participative emergency team, supplies and scheduling route using spatial analysis function of GIS, and obtained its space-time distribution data by the deduction demand analysis of emergency plan; finally, implemented the deduction of atmospheric pollution emergency plan using visualization and temporal data deduction of ArcGIS. The GIS based deduction data generation method and accident deduction method of atmospheric pollution not only reduced the difficulty for emergency system developer, but also showed outstanding advantages in organization, inquiry, management, visualization and further deep-level analysis of emergency data.

关 键 词：数据生成方法 推演 地理信息系统 高斯模型 

分 类 号：P208.2[天文地球—地图制图学与地理信息工程]