唐山市基于GIS的PM2.5空间聚集性及分区管控

以ArcGIS软件为平台，采用唐山市206个在线监测点数据，分析了PM_2.5在采暖期、重污染期、非采暖期3个时期的全局和局部空间自相关性，研究其大气污染空间分布特征.结果表明，3个时期均具有一定的空间自相关性，且重污染期的全局空间自相关最强；采暖期和重污染期PM_2.5高值聚类主要发生在中部地区，低值聚类则主要分布在北部山区及沿海少部分区域；非采暖期高值聚类主要分布在丰润区和丰南区，低值聚类发生在遵化市北部地区.通过空间插值模拟全市的PM_2.5分布状况，结果显示唐山市在重污染期PM_2.5均值最高格点值达241μg/m³，而非采暖期最低值只有37μg/m³；基于PM_2.5浓度变化特征和空间分布，将唐山所辖18个区县划分为5个区域，针对各区域提出PM_2.5分区管控措施建议.

Research on spatial aggregation of PM2.5 and zoning control in Tangshan based on GIS

Based on the real-time, on-line PM_2.5 monitoring data from 206 monitoring stations in Tangshan City, during three different periods, including heating period, heavy pollution period, and non-heating period, respectively, this research was to study the spatial distribution characteristics and spatial autocorrelation of air pollution so as to provide the basis to enhance air pollution control in Tangshan City, by using ArcGIS as the platform. All three periods had a certain spatial autocorrelation and the global spatial autocorrelation during heavy pollution period was the strongest. During heating and heavy pollution periods, the High-High cluster of PM_2.5 mainly occurred in the central areas of Tangshan, while the Low-Low cluster was mainly distributed in the northern mountain areas and a small portion in coastal areas. High-High cluster of non-heating period was mainly distributed in Fengrun District and Fengnan District, while Low-Low cluster occurred in the northern part of Zunhua. Through spatial interpolation, the PM_2.5 distribution of the whole city was simulated to result that the highest grid point value of PM_2.5 in Tangshan is 241μg/m³ during heavy pollution period, while the lowest value is only 37μg/m³ in non-heating period. Based on the characteristics of PM_2.5 concentration variation and spatial distribution, the 18 districts and counties of Tangshan were divided into 5 zones, and corresponding suggestions on PM_2.5 control measures for each zone were proposed.