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杭州城区土地利用类型对PM2.5浓度影响分析
引用本文:潘骁骏,侯伟,蒋锦刚.杭州城区土地利用类型对PM2.5浓度影响分析[J].测绘科学,2017,42(10).
作者姓名:潘骁骏  侯伟  蒋锦刚
作者单位:1. 浙江省第二测绘院,杭州,310012;2. 中国测绘科学研究院,北京 100830;城市空间信息工程北京市重点实验室,北京 100830;3. 浙江大学,杭州,310058
基金项目:浙江省科技计划项目,城市空间信息工程北京市重点实验室经费资助项目
摘    要:针对PM2.5质量浓度空间分布的季节性差异与土地利用分布的定量关系问题,该文以浙江省杭州市为实验区,收集PM2.5质量浓度实测数据和MODIS气溶胶光学厚度(AOT)遥感数据,并对AOT进行标高订正和水汽校正,建立了PM2.5质量浓度和AOT的回归模型,通过模型得出了杭州市各季节的PM2.5质量浓度空间分布图;在此基础上,进一步分析了杭州市PM2.5浓度与土地利用类型(扬尘地表与非扬尘地表)之间的空间分布相关性。结果表明,杭州市2015年PM2.5质量浓度分布的季节性变化特征是冬季春季秋季夏季;建设用地和交通用地等扬尘地表对PM2.5的浓度贡献较大,特别是在冬季和春季两个季节。该研究结果对于认识空气中PM2.5的来源与时空分布特征具有一定的理论和实践意义。

关 键 词:土地利用  遥感AOT  PM2.5质量浓度  统计分析

Statistical analysis of the impact of land use types on PM2.5 concentration in Hangzhou city
PAN Xiaojun,HOU Wei,JIANG Jingang.Statistical analysis of the impact of land use types on PM2.5 concentration in Hangzhou city[J].Science of Surveying and Mapping,2017,42(10).
Authors:PAN Xiaojun  HOU Wei  JIANG Jingang
Abstract:In order to understand the seasonal variation of the spatial distribution of PM2.5 mass concentration and its correlation to different land use types,a regression model of PM2.5 mass concentration and AO)T in Hangzhou was proposed by using PM2.5 mass density monitoring data and MODIS AOT remote sensing data.Then,the spatial distribution of PM2.5 mass concentration in each season of Hangzhou was obtained based on this model.The correlation between PM2.5 concentration and land use types (dusty surface and non dusty surface)was analyzed by using two different statistical approaches.The results showed that the seasonal variation of PM2.5 concentration in Hangzhou was.:winter>spring>autumn>summer;the density of PM2.5concentration was significantly related to the distribution of dusty surface (e.g.construction land and transportation land),especially in winter and spring.The results of this study can be helpful to understand the sources and spatio-temporal distribution of PM2.5.
Keywords:land use  MODIS AOT  PM2  5 mass concentration  statistical analysis
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