Application of Thiessen Polygon Method to Analysis of PM2.5 Pollution in Xi'an
XIE Yuanyang
WANG Sen
Abstract: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.
Keywords:PM2.5thiessen polygonXi'anmonitoring station
Publication Date:2017-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:6( 22-27 )
Environmental Science & Technology

Environmental Science & Technology

PKUISTIC
ISSN:1003-6504
Year, Vol.(Issue):2017,40(7)