以西安市10个市辖区为研究区域,选取西安市环境监测网站20130101-20160229共1 155 d的PM2.5监测数据,基于泰森多边形,对研究区域内的监测点位、PM2.5质量浓度时空分布情况进行分析,探讨泰森多边形法用于PM2.5监测的可行性。通过研究,得到如下结论:在长安区监测点所构成的泰森多边形与曲江新区监测点所构成的泰森多边形交线附近新增监测点,以提高各监测站点PM2.5平均浓度对于西安市整体的代表性;在时间序列上泰森多边形法的变化趋势与算术平均法相近,但其所反映出来的PM2.5浓度小于算术平均法;西安市PM2.5监测浓度较高的点位相对集中于泰森多边形面积小的区域;在监测点布点不均的情况下,泰森多边形法较算术平均法能更科学合理的反映区域总体水平,并能客观的反映区域整体的浓度情况;且能够用于估算区域PM2.5质量总量。总之,泰森多边形法可为监测点的合理有效布局提供导向作用,为大气PM2.5污染水平的研究提供科学合理的分析方法。
Basing on the PM2.5 concentration data (Jan. 1, 2013 to Feb. 29, 2016) collected from Xi'an City's environmental monitoring network station,covering the study area within the city's ten districts, this paper intended to study the rationality in setting-up of atmospheric environmental monitoring points to reflect the temporal and spatial distribution of PM2.5 mass concentration of Xi'an City by use of Thiessen polygon interpolating method, and to discuss the feasibility of PM2.5 visual expression and for PM2.5 monitoring. Results of the study suggested that a new monitoring point be set up near the intersection line formed by Thiessen polygons with respect to the monitoring sites of Chang'an and Qujiang districts, respectively; the two methods, i.e. Thiessen polygon and arithmetic average method, had the similar trends in expressing PM2.5 mass concentration in terms of the time series; however, PM2.5 mass concentration in Xi'an by Thiessen polygon method was smaller than arithmetic average method on the whole. In addition, PM2.5 pollution in Xi'an was relatively concentrated in the area of the small area of the Thiessen polygons. In summary, compared with arithmetic method, Thiessen polygon method was more scientific and objective in reflecting the PM2.5 mass concentration in the area in spite of uneven distribution of monitoring stations, besides it could be used to estimate the total mass of PM2.5 in an area, so Thiessen polygon method could be used as a tool in choosing proper location for setting up stations for atmospheric environmental monitoring, and a scientific and rational analytic method in the research of PM2.5 pollution.