摘要
由于不同区域的气候背景和污染物排放情况不同,导致气溶胶光学厚度在不同区域与颗粒物浓度的关系存在差异,因此,研究城市AOD时空分布及与颗粒物浓度关系。将山东省作为研究区域,结合深蓝算法和暗像元法,根据采集的数据反演气溶胶光学厚度,分析气溶胶光学厚度在各个地区的分布情况,获取气溶胶光学厚度的日变化情况和月变化情况,引入Pearson相关系数法获取相关性变化情况,分析结果表明,两者之间的Pearson相关系数低,并且进行垂直修正和湿度修正分析结果,提高相关性分析结果的精度。
Due to the different climatic background and pollutant emission in different regions,the relationship between aerosol optical thickness and particulate matter concentration is different in different regions.Therefore,the spatial and temporal distribution of urban AOD and its relationship with particulate matter concentration are studied.With Shandong Province as the research area,the aerosol optical thickness was retrieved based on the collected data by combining the deep blue algorithm and the dark pixel method.The distribution of aerosol optical thickness in various regions was analyzed,and the daily and monthly variations of aerosol optical thickness were obtained.The Pearson correlation coefficient method was introduced to obtain the correlation changes.The Pearson correlation coefficient between the two was low,and vertical correction and humidity correction were performed to improve the accuracy of the correlation analysis results.
作者
孙忠泉
Sun Zhongquan(Shandong Dongying Ecological Environment Monitoring Center,Dongying 257091,China)
出处
《环境科学与管理》
CAS
2023年第5期50-55,共6页
Environmental Science and Management
关键词
气溶胶光学厚度
暗像元法
Pearson相关系数
时空分布特征
颗粒物浓度
aerosol optical thickness
dark pixel method
Pearson correlation coefficient
temporal and spatial distribution characteristics
particulate concentration