阜新市MODIS AOD与大气PM_(2.5)浓度相关性研究  

A Study on Concentration Correlation between MODIS AOD and PM_(2.5) in Fuxin City,China

作　　者：赵晓亮[1,2] 孙杰[1] 冯银厂[3] 王道涵[1] 毕文艺 郑娇[4] 

机构地区：[1]辽宁工程技术大学资源与环境工程学院,辽宁阜新123000 [2]辽宁省煤炭资源安全开采与洁净利用工程研究中心,辽宁阜新123000 [3]南开大学环境科学与工程学院,天津300071 [4]南京理工大学化工学院,南京210094

出　　处：《地球与环境》2017年第3期283-289,共7页Earth and Environment

基　　金：辽宁省教育厅一般科研项目(LJYL020);国家自然基金项目(51274116);辽宁省煤炭资源安全开采与洁净利用工程研究中心开放基金资助课题(LNTU15KF13)

摘　　要：利用卫星遥感MODIS数据研究区域大气PM_(2.5)浓度分布是环境管理的有效方法。获取美国国家航空航天局MODIS L1B1KM数据,采用暗目标法反演阜新市大气气溶胶厚度AOD数据;提取阜新市5个大气监测站点位2014年3月至5月、2015年3月至4月期间PM_(2.5)浓度数据进行相关性分析,建立PM_(2.5)浓度-AOD之间的线性、一元二次、对数函数、幂函数及指数函数5种相关性模型;引用湿度影响因子建立大气PM_(2.5)浓度订正模型,采用PM_(2.5)浓度订正模型、Peterson模型分别订正PM_(2.5)浓度及AOD标高,应用阜新市环保局5个监测点位2014年6~12月、2015年5~12月期间PM_(2.5)的月平均浓度进行模型检验。对比分析订正后的5种相关性模型拟合优度,检验结果表明:订正方法提高了PM_(2.5)浓度-AOD相关性;线性相关性模型R2为0.633 6,相对误差为12.41%,相对其他4种模型相对误差较小。利用阜新市大气AOD预测PM_(2.5)浓度具有良好环境指示意义。In this study, satellite remote sensing MODIS data were employed to study the distribution of atmospheric PM2.5 concentra- tion for environmental management. The National Aeronautics and Space Administration＇s data of MODIS L1B1KM were obtained, and the data of atmospheric aerosol thickness-AOD in Fuxin City were inversed by using the dark target method; Five atmospheric monito- ring sites＇ concentration data of PM2.5 from March to May in 2014 and March to April in 2015 in Fuxin City were extracted, and correla- tion models between PM2.5 concentration to AOD ： a yuan quadratic, logarithmic function, power function and exponential function were established; Influence factors of humidity was analyzed to establish a revised model of atmospheric PM2.5 concentration which was also employed with Peterson model to correct PM2.5 concentration and AOD elevation respectively. Data of PM2.5 from June to December in 2014 and from May to December in 2015 from Fuxin environmental protection administration were used to check the models. Results show that corrected method has improved the correlation between concentration of PM2.5 and AOD with the linear correlation R2 of 0. 633 6 and the relative error of 12.41%, which is lower than other models, therefore, using atmospheric AOD to forecast PM2.5 con- centrations has good environmental implications.

关 键 词：PM2.5 MODIS AOD 相关性 预测 

分 类 号：X513[环境科学与工程—环境工程]