张小璐,刘纪平,梁勇,刘晓东,赵阳阳,董珍珍

• 1:山东农业大学信息科学与工程学院
• 2:中国测绘科学研究院

摘要(Abstract)：

针对PM2.5浓度估算中全局平稳因素和局部非平稳因素同时存在的问题,该文以京津冀地区2015年1月—7月的PM2.5浓度为研究对象,人口密度、GDP、AOD、温度、相对湿度、风速和大气压强为影响因子,利用混合时空地理加权回归模型对PM2.5浓度进行估算。结果显示,考虑全局平稳特征时能有效地提升PM2.5浓度估算的精度,PM2.5浓度与风速、温度呈负相关关系,京津冀地区PM2.5浓度呈北低南高的趋势。

关键词(KeyWords)： 平稳特征;混合时空地理加权回归模型;PM2.5浓度;时空趋势

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2016YFC0803108)

作者(Author): 张小璐,刘纪平,梁勇,刘晓东,赵阳阳,董珍珍

DOI: 10.16251/j.cnki.1009-2307.2018.05.006

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