区域大气污染物浓度贡献的空间尺度效应  

The Spatial Scale Effect of Concentration Contributions of Regional Atmospheric Pollutants

作　　者：陈欣锐 张艳[1] 马蔚纯[1] 

机构地区：[1]复旦大学环境科学与工程系,上海200433

出　　处：《环境影响评价》2016年第6期61-65,共5页Environmental Impact Assessment

基　　金：国家自然科学基金项目(71173049)

摘　　要：区域大气污染物浓度贡献的定量分析是污染物来源分析的一个重要方面,在区域环境评价中具有重要的实际意义。采用WRF/CALPUFF模式系统,以上海市宝山区、月浦镇和月盛社区三个地理空间尺度由大到小的区域为例,从月均浓度和年均浓度贡献两个角度,运用"强力法"模拟计算宝山区各大点源对上述三个区域NOx浓度贡献率。研究表明,区域大气污染物浓度贡献存在显著的空间尺度效应。无论是月均还是年均浓度,各大点源对整个宝山区、月浦镇和月盛社区的污染物浓度累积贡献率均呈现递增趋势。此外,在一定的空间尺度上,各污染源的浓度贡献也表现出一定的季节差异。The quantitative analysis on the concentration contributions of regional atmospheric pollutants is an important aspect of source apportionment of atmospheric pollutants,and is also of great value in regional environmental assessment. In this study,we selected Baoshan District of Shanghai,Yuepu Town,and Yuesheng Community as three different spatial scales to study the spatial scale effect of the concentration contributions of atmospheric pollutants. Brute-force approach was used to simulate the average contributions（ including monthly average contribution,and annual average contribution） of Baoshan＇s large point sources（ LPSs） to the NOxconcentrations of three above-mentioned regions through WRF / CALPUFF modeling system. The results showed that the concentration contributions of LPSs differed significantly in different spatial scales. Also, the accumulated average concentration contributions of all LPSs increased progressively in the order of Baoshan District,Yuepu Town,and Yuesheng Community. In addition,the concentration contributions of LPSs varied seasonally in a certain spatial scale.

关 键 词：区域大气污染 浓度贡献 空间尺度效应 上海宝山 

分 类 号：X51[环境科学与工程—环境工程]