摘要
针对常态化大气质量站点监测数据难以满足公众随时随地了解大气污染暴露风险的实际需求,集成ArcGISEngine组件式GIS、Android、Java、C#等技术,设计开发了基于用户实时位置响应的个体大气污染暴露测量与可视化系统,系统由浓度制图与发布、浓度与暴露查询APP以及暴露可视化监控3个子系统组成。通过整合大气污染国控监测站点数据、个体实时位置数据及个体暴露参数数据,以Android手机服务形式向注册用户提供大气污染浓度与暴露剂量测量的实时位置服务和公众暴露可视化监控功能。系统为公众规避大气污染暴露风险和政府开展大气污染健康损害监控与调查提供了一种新技术。
Nowadays,air pollution is a severe environmental problem in China,which has been causing respiratory diseases,cardiovascular disease,and so on.Therefore,it is necessary and urgent to thoroughly develop a whole technology chain for "air pollution monitoring,controlling,and exposure risk prevention".However,data from routine air quality monitoring sites can not reveal the continuous distribution of air pollution concentration.Consequently,it is hard to meet public requirements to access their individual-level exposure concentration at given time and place.Besides,the online tools for exposure estimation of air pollution,as well as the visual monitoring systems for air pollution exposure process,are seldom concerned.This study integrates the technologies including component GIS of ArcGIS,Android,Java,and C# to design and develop a real-time position response-based system for individual air pollution exposure.This system includes three subsystems:the air pollution mapping and publishing system,the APP service for individual health exposure risk querying,and the visual monitoring system of air pollution exposure process.With the implementation of this system based on simulation measurement and visualization of individual atmospheric pollution exposure,the public can better avoid air pollution exposure risk.It also provides an entirely new method to monitor and investigate air pollution health damages for the government.
作者
陈旭
邹滨
李沈鑫
赵秀阁
段小丽
CHEN Xu;ZOU Bin;LI Shen-xin;ZHAO Xiu-ge;DUAN Xiao-li(School of Geosciences and Info-physics,Central South University,Changsha 410083;State Key Lab of Environmental Criteria and Risk Assessment,CRAES,Beijing 100012;School of Energy and Environmental Engineering,Beijing University of Science & Technology,Beijing 100012,China)
出处
《地理与地理信息科学》
CSCD
北大核心
2019年第4期21-26,56,共7页
Geography and Geo-Information Science
基金
国家重点研发计划课题(2016YFC0206205、2016YFC0206201)
湖南省教育厅科学研究开放平台项目(15K132)