[1] DENG X L, SHI C E,WU B W, et al. Analysis of aerosol characteristics and their relationships with meteorological parameters over Anhui Province in China[J]. Atmospheric research,2012,109-110:52-63. [2] 王晨,时悦,景悦,等.基于遥感数据的京津冀地区PM2.5时空分布特征[J].环境监测管理与技术,2020,32(1):37-41. [3] 张丽华,冉祥玉,包玉海,等.内蒙古自治区2016年PM2.5时空分布[J].环境工程,2018,36(12):140-144. [4] 李会霞,史兴民.西安市PM2.5时空分布特征及气象成因[J].生态环境学报,2016,25(2):266-271. [5] 冯万富,邱林,单燕祥,等.森林植被对信阳市城郊PM2.5等颗粒物污染的影响[J].湖北农业科学,2019,58(16):49-54. [6] 李雪梅,许东明.京津冀城市群PM2.5的空间分布及相关性分析[J].生态与农村环境学报,2019,35(2):174-179. [7] LIU Y, PACIOREK C J, KOUTRAKIS P.Estimating regional spatial and temporal variability of PM2.5 concentrations using satellite data,meteorology,and land use information[J].Environmental health perspectives,2009, 117(6):886-892. [8] 李玉玲,刘红云,娄彩荣,等.江苏省PM2.5时空变化及土地利用影响研究[J].环境科学与技术,2016,39(8):10-21. [9] YANG Q Q, YUAN Q Q,YUE L W,et al.The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China:About and behind the spatio-temporal variations[J]. Environmental pollution,2019,248:526-535. [10] WANG Z F, CHEN L F, TAO J H, et al.Satellite-based estimation of regional particulate matter (PM) in Beijing using vertical-and-RH correcting method[J]. Remote sensing of environment,2010,114(1):50-63. [11] TSAI T C, JENG Y J, CHU D A, et al.Analysis of the relationship between MODIS aerosol optical depth and particulate matter from 2006 to 2008[J]. Atmospheric environment,2011,45(27):4777-4788. [12] 何沐全,刘志红,张颖,等.川南城市群大气灰霾时空分布特征及成因分析[J].中国环境科学,2017,37(2):432-442. [13] 王玲玲,何巍,朱玉璘,等.自贡市PM2.5浓度时空特征分析[J].湖北农业科学,2020,59(6):68-72. [14] LYAPUSTIN A, WANG Y, LASZLO I, et al.Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm[J]. Journal of geophysical research: Atmospheres, 2011, 116(D3):D03211. [15] LIANG F C, XIAO Q Y, WANG Y J, et al. MAIAC-based long-term spatiotemporal trends of PM2.5 in Beijing, China[J]. Science of the total environment, 2018, 616-617: 1589-1598. [16] HAN X F, CUI X H, DING L, et al.Establishment of PM2.5 prediction model based on MAIAC AOD data of high resolution remote sensing images[J]. International journal of pattern recognition and artificial intelligence, 2019, 33(3):1954009. [17] 曾晶. 基于国产高分卫星数据的气溶胶光学厚度反演与验证[D].湖南湘潭:湖南科技大学,2019. [18] WU C D, CHEN Y C, PAN W C, et al.Land-use regression with long-term satellite-based greenness index and culture-specific sources to model PM2.5 spatial-temporal variability[J]. Environmental pollution,2017,224:148-157. [19] WANG Z T, LI QING, WANG QIAO, et al.HJ-1 terrestrial aerosol data retrieval using deep blue algorithm[J]. Journal of remote sensing,2012,16(3):615-629. [20] 李源,陈魁,孔君,等.天津市PM2.5污染特征与来源解析[J].环境工程,2019,37(11):132-137. [21] WANG Z B, FANG C L.Spatial-temporal characteristics and determinants of PM2.5 in the Bohai Rim Urban Agglomeration[J]. Chemosphere,2016,148:148-162. [22] LI YANG,CHEN Q L,ZHAO H J,et al.Variations in PM10, PM2.5 and PM10 in an urban area of the Sichuan Basin and their relation to meteorological factors[J]. Atmosphere,2015,6(1):150-163. [23] DE LANGE A, GARLAND R G, DYSON L L.Estimating particulate matter (PM) concentrations from a meteorological index for data-scarce regions:A pilot study[J]. Atmospheric pollution research, 2019: 10(5):1553-1564. [24] 刘雯,张晓春,李俊,等.武汉市观象台2013-2016年PM2.5质量浓度变化及其与气象因子的相关分析[J].气象与环境科学,2018,41(2):23-29. [25] 陶澍. 应用数理统计方法[M].北京:中国环境科学出版社,1994. [26] 李会霞,史兴民.西安市PM2.5时空分布特征及气象成因[J].生态环境学报,2016,25(2):266-271. [27] 李美玲,韩健.天津市滨海新区PM2.5污染时空分布及影响因素研究[J].环境科学与管理,2018,43(4):91-95. [28] GULNUR C, MAJEED S J, SAID M.Characterizing temporal variability of PM2.5/PM10 ratio and its relationship with meteorological parameters in Bahrain[J]. Environmental forensics,2018,19(4):315-326. |