城市机动车PM_1污染浓度影响模型及应用

Analysis on the concentration distribution of vehicle caused particulate pollution

交通产生的细小入肺颗粒物PM_1给人们的生活环境及长期健康带来不利影响,有必要分析城市环境中颗粒物浓度情况。文章在西安市小范围内对PM_1进行了浓度监测并建立了多元回归模型,并对结果进行了可视化。模型指出相对湿度、风速与绿地面积为主要影响变量,结果显示出研究区域内的颗粒物浓度热点集中在建筑密集区域,以及植被少、设施陈旧的小区。

Traffic caused fine particulate matter (PM) pollution are adversely affecting our living environment and long-term health. It is necessary to analyze the particulate concentration distribution in urban environment. We monitored the concentrations and built multiple regression models for PM1 in a small area in Xi’an, than visualized the results. The models demonstrate that wind speed, green land area and relative humidity are some of the main influential factors, and the result shows that the hot spots of PM concentration are focused on places with dense buildings, or old neighborhood with poor facilities and less vegetation.