摘要
本文就北京市内不同等级道路网对可吸入颗粒物的浓度影响进行了研究,选取大气污染物中可吸入颗粒物PM10(包括PM0.3、PM0.5、PM1.0、PM3.0、PM5.0)为研究对象,采用半自动与目视解译相结合的方法提取北京市城区不同等级道路网,于2008年的采暖期与非采暖期在有代表意义的路面上选择42个采样点,分析对比不同等级路面点的可吸入颗粒物的个数和浓度,运用统计学以及GIS和RS等技术手段,进行不同等级道路网对可吸入颗粒物的浓度影响分析。
This paper researched on the effects of Beijing urban different-level road network on the concentration of IPM, chose PMlO（including PM0. 3, PM0. 5, PMI. 0, PM3.0, PM5. 0） as the object of study, used semi-automatic with visual interpretation methods to extract the road network of Beijing, in the 2008 non-heating period and the heating period, elected 42 sampling points in the representative roads, analyzed the number and concentration of the IPM in different-level roads, and applied GIS and RS technolo- gy to explore the effects of different-level road network on the concentration of IPM in urban area of Beijing.
出处
《测绘科学》
CSCD
北大核心
2012年第5期135-137,共3页
Science of Surveying and Mapping
基金
国家高技术研究发展计划地球观测与导航技术领域863项目"宽幅高光谱小卫星载荷关键技术研究"(2008AA121103)
