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Temporal and Spatial Distribution Characteristics, and Potential Source Analysis of Aerosol Optical Depth in North China Plain from 2011 to 2020(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2021年第06期
Page:
1018-1032
Research Field:
水资源与环境
Publishing date:

Info

Title:
Temporal and Spatial Distribution Characteristics, and Potential Source Analysis of Aerosol Optical Depth in North China Plain from 2011 to 2020
Author(s):
WANG Li;  XU Cui-ling*;  XU Fu;  GAO Qi
(School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, Shaanxi, China)
Keywords:
aerosol optical depth;  MODIS;  air quality index;  backward trajectory;  cluster analysis;  potential source contribution function analysis;  concentration-weight analysis;  North China Plain
PACS:
X513
DOI:
10.19814/j.jese.2021.04005
Abstract:
With the rapid economic growth and the acceleration of urbanization, the regional air pollution problem in North China Plain has intensified. The study on temporal and spatial distribution characteristics, and potential sources of long-term aerosol optical depth in North China Plain is of great significance to the control of air pollution. Based on the long-time MODIS/Terra C6.1 MOD04_L2 aerosol optical depth product, the temporal and spatial distribution characteristics of aerosol optical depth in North China Plain were analyzed, and the backward trajectory cluster analysis was used to discuss the seasonal changes of air mass transportation in 7 major cities of North China Plain. As an example, Shijiazhuang in Hebei, which is more polluted, was used to explore the potential sources of pollutants by potential sources and concentration-weight analysis. ① The monthly average value of aerosol optical depth in North China Plain has a significant periodic change from 2011 to 2020; taking the year as the cycle, and the peak value in each cycle generally appears from June to August. Aerosol optical depth has a single-peak distribution during the year; the peak value appears in June(0.75), and the minimum value appears in December(0.37). The seasonal average values of aerosol optical depth in North China Plain are in order with summer(0.67), spring(0.59), winter(0.49)and autumn(0.46). Aerosol optical depth shows a downward trend from 2011 to 2020 with an overall decrease of 36.84%; the highest is in 2011(0.72), and the lowest is in 2018(0.45). ② The spring, summer, autumn and winter of 7 major cities in North China Plain are mainly affected by short-distance air mass transportation, and less affected by long-distance air mass transportation. ③ From 2014 to 2020, the good air quality days of Shijiazhuang in Hebei account for a relatively small proportion, and the air quality is poor; most of pollutants that affect air quality of Shijiazhuang in Hebei are generated locally, and are also affected by the close transportation of surrounding provinces and cities.

References:

[1] 毛节泰,张军华,王美华.中国大气气溶胶研究综述[J].气象学报,2002,60(5):625-634.
MAO Jie-tai,ZHANG Jun-hua,WANG Mei-hua.Summary Comment on Research of Atmospheric Aerosol in China[J].Acta Meteorologica Sinica,2002,60(5):625-634.
[2] 郑 宇.人为和气象因素影响大气气溶胶变化的观测及模拟研究[D].南京:南京信息工程大学,2017.
ZHENG Yu.Observation and Modeling Study of Anthropogenic and Meteorological Influences on Changes of Atmospheric Aerosols[D].Nanjing:Nanjing University of Information Science and Technology,2017.
[3] 张 华,黄建平.对IPCC第五次评估报告关于人为和自然辐射强迫的解读[J].气候变化研究进展,2014,10(1):40-44.
ZHANG Hua,HUANG Jian-ping.Interpretation of the IPCC Fifth Assessment Report on Anthropogenic and Natural Radiative Forcing[J].Climate Change Research,2014,10(1):40-44.
[4] 彭 艳,王 钊,董 妍,等.1960～2012年陕西降水变化特征及可能成因分析[J].高原气象,2016,35(4):1050-1059.
PENG Yan,WANG Zhao,DONG Yan,et al.Characteristics and Reasons of Local Change of Precipitation over Shaanxi During 1960-2012[J].Plateau Meteo-rology,2016,35(4):1050-1059.
[5] KANG L,CHEN S,HUANG J,et al.The Spatial and Temporal Distributions of Absorbing Aerosols over East Asia[J].Remote Sensing,2017,9(10):1050.
[6] KANG N,KUMAR K R,YU X,et al.Column-integrated Aerosol Optical Properties and Direct Radiative Forcing over the Urban-industrial Megacity Nanjing in the Yangtze River Delta,China[J].Environmental Science and Pollution Research,2016,23(17):17532-17552.
[7] 景 悦,孙艳玲,付宏臣,等.2010～2016年京津冀AOD时空变化及其影响因子分析[J].环境科学与技术,2018,41(8):104-113.
JING Yue,SUN Yan-ling,FU Hong-chen,et al.Temporal and Spatial Variation of Aerosol Optical Depth and Analysis of Influencing Factors in Beijing-Tianjin-Hebei Region from 2010 to 2016[J].Environmental Science and Technology,2018,41(8):104-113.
[8] 赵胡笳,马雁军,王扬锋,等.沈阳大气气溶胶光学特性及其影响因子[J].气象与环境学报,2015,31(3):43-49.
ZHAO Hu-jia,MA Yan-jun,WANG Yang-feng,et al.Aerosol Optical Characteristics and Its Influencing Factor over Shenyang[J].Journal of Meteorology and Environment,2015,31(3):43-49.
[9] 石 勇.武汉市MODIS气溶胶光学厚度与空气PM10浓度的关系研究[D].武汉:华中农业大学,2012.
SHI Yong.Study on the Correlation Between MODIS AOD and Concentration of Air PM10 Pollutions in Wuhan[D].Wuhan:Huazhong Agricultural University,2012.
[10] 王 力.华北地区气溶胶时空分异特性及对农作物影响的模拟研究[D].重庆:重庆交通大学,2015.
WANG Li.Atmospheric Aerosol Spatial-temporal Cha-racteristics and Its Climatic Effect on Crop in North China[D].Chongqing:Chongqing Jiaotong University,2015.
[11] LEVY R C,LEPTOUKH G G,KAHN R,et al.A Critical Look at Deriving Monthly Aerosol Optical Depth from Satellite Data[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(8):2942-2956.
[12] SAYER A M,MUNCHAK L A,HSU N C,et al.MODIS Collection 6 Aerosol Products:Comparison Between Aqua's E:Deep Blue,Dark Target,and “Merged” Data Sets,and Usage Recommendations[J].Journal of Geophysical Research:Atmospheres,2014,119(24):13965-13989.
[13] MHAWISH A,BANERJEE T,BRODAY D M,et al.Evaluation of MODIS Collection 6 Aerosol Retrieval Algorithms over Indo-Gangetic Plain:Implications of Aerosols Types and Mass Loading[J].Remote Sensing of Environment,2017,201:297-313.
[14] FILONCHYK M,YAN H W,ZHANG Z R.Analysis of Spatial and Temporal Variability of Aerosol Optical Depth over China Using MODIS Combined Dark Target and Deep Blue Product[J].Theoretical and Applied Climatology,2019,137(3):2271-2288.
[15] SAYER A M,HSU N C,LEE J,et al.Validation,Stability,and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data over Land[J].Journal of Geophysical Research:Atmospheres,2019,124:4658-4688.
[16] WANG Y,YUAN Q Q,LI T W,et al.Evaluation and Comparison of MODIS Collection 6.1 Aerosol Optical Depth Against AERONET over Regions in China with Multifarious Underlying Surfaces[J].Atmosp-heric Environment,2019,200:280-301.
[17] WEI J,LI Z Q,PENG Y R,et al.MODIS Collection 6.1 Aerosol Optical Depth Products over Land and Ocean:Validation and Comparison[J].Atmospheric Environment,2019,201:428-440.
[18] 张瑞芳,刘偲嘉,于兴娜,等.西北地区气溶胶光学特性的时空变化特征[J].环境科学学报,2021,41(2):334-342.
ZHANG Rui-fang,LIU Si-jia,YU Xing-na,et al.Spatio-temporal Distribution and Variation Characteristics of Aerosol Optical Properties over the Northwest of China[J].Acta Scientiae Circumstantiae,2021,41(2):334-342.
[19] 吕 鑫,郭庆彪,姜传礼,等.2004～2018年四川省AOD时空格局及趋势分析[J].环境科学与技术,2020,43(10):148-155.
LYU Xin,GUO Qing-biao,JIANG Chuan-li,et al.Spatial-temporal Pattern and Trend Analysis of Aerosol Optical Depth in Sichuan Province from 2004 to 2018[J].Environmental Science and Technology,2020,43(10):148-155.
[20] 张颖蕾,崔希民.基于MODIS_C061的长三角地区AOD与Angstrom指数时空变化分析[J].环境科学,2020,41(6):2617-2624.
ZHANG Ying-lei,CUI Xi-min.Spatial and Temporal Characteristics of AOD and Angstrom Exponent in the Yangtze River Delta Based on MODIS_C061[J].Environmental Science,2020,41(6):2617-2624.
[21] 韩 霄,张美根.2013年1月华北平原重霾成因模拟分析[J].气候与环境研究,2014,19(2):127-139.
HAN Xiao,ZHANG Mei-gen.Model Analysis of Haze Formation over the North China Plain in January 2013[J].Climatic and Environmental Research,2014,19(2):127-139.
[22] 张小玲,唐宜西,熊亚军,等.华北平原一次严重区域雾霾天气分析与数值预报试验[J].中国科学院大学学报,2014,31(3):337-344.
ZHANG Xiao-ling,TANG Yi-xi,XIONG Ya-jun,et al.Analysis and Numerical Forecast of a Regional Fog-haze in North China Plain[J].Journal of the University of Chinese Academy of Sciences,2014,31(3):337-344.
[23] 赵玉广,李江波,李青春.华北平原3次持续性大雾过程的特征及成因分析[J].气象,2015,41(4):427-437.
ZHAO Yu-guang,LI Jiang-bo,LI Qing-chun.Characteristics of Three Sustained Dense Fog Events Across the North China Plain[J].Meteorological Monthly,2015,41(4):427-437.
[24] 苏彬彬,许椐洋,张若宇,等.区域传输对华东森林及高山背景点位大气污染物浓度的影响[J].环境科学,2014,35(8):2871-2877.
SU Bin-bin,XU Ju-yang,ZHANG Ruo-yu,et al.Influence of Atmospheric Transport on Air Pollutant Levels at a Mountain Background Site of East China[J].Environmental Science,2014,35(8):2871-2877.
[25] 刘 璇,朱 彬,关学锋,等.华东地区气溶胶分布和变化特征研究[J].沙漠与绿洲气象,2017,11(1):11-21.
LIU Xuan,ZHU Bin,GUAN Xue-feng,et al.A Study of the Characteristics of Aerosol Distribution and Variation in Eastern China[J].Desert and Oasis Meteorology,2017,11(1):11-21.
[26] 任传斌,吴立新,张媛媛,等.北京城区PM2.5输送途径与潜在源区贡献的四季差异分析[J].中国环境科学,2016,36(9):2591-2598.
REN Chuan-bin,WU Li-xin,ZHANG Yuan-yuan,et al.Analyze to the Seasonal Differences of Transport Pathways and Potential Source-zones of Beijing Urban PM2.5[J].China Environmental Science,2016,36(9):2591-2598.
[27] 段时光,姜 楠,杨留明,等.郑州市冬季大气PM2.5传输路径和潜在源分析[J].环境科学,2019,40(1):86-93.
DUAN Shi-guang,JIANG Nan,YANG Liu-ming,et al.Transport Pathways and Potential Sources of PM2.5 During the Winter in Zhengzhou[J].Environmental Science,2019,40(1):86-93.
[28] 张 云,肖钟湧.云南省气溶胶光学厚度时空变化特征的遥感研究[J].中国环境监测,2016,32(2):127-133.
ZHANG Yun,XIAO Zhong-yong.Temporal-spatial Variations Characteristics of Aerosol Optical Thickness Using Satellite Remote Sensing over Yunnan Province,China[J].Environmental Monitoring in China,2016,32(2):127-133.
[29] 玛依拉·热西丁,丁建丽,张 喆,等.乌鲁木齐市气溶胶光学厚度时空分布特征及潜在来源分析[J].环境科学学报,2020,40(5):1611-1620.
MAYILA Rexidin,DING Jian-li,ZHANG Zhe,et al.Spatiotemporal Distribution Characteristics and Potential Sources of Aerosol Optical Depth in Urumqi[J].Acta Scientiae Circumstantiae,2020,40(5):1611-1620.
[30] YU H,YANG W,WANG X H,et al.A Seriously Sand Storm Mixed Air-polluted Area in the Margin of Tarim Basin:Temporal-spatial Distribution and Potential Sources[J].Science of the Total Environment,2019,676:436-446.
[31] ASHBAUGH L L,MALM W C,SADEH W Z.A Residence Time Probability Analysis of Sulfur Concentrations at Grand Canyon National Park[J].Atmospheric Environment(1967),1985,19(8):1263-1270.
[32] POLISSAR A V,HOPKE P K,HARRIS J M.Source Regions for Atmospheric Aerosol Measured at Barrow,Alaska[J].Environmental Science and Technology,2001,35(21):4214-4226.
[33] 黄 俊,廖碧婷,王春林,等.广州市PM2.5污染特征及潜在贡献源区分析[J].环境科学与技术,2019,42(4):115-124.
HUANG Jun,LIAO Bi-ting,WANG Chun-lin,et al.Analysis of the Characteristics and Potential Source Contribution of PM2.5 Pollution in Guangzhou[J].Environmental Science and Technology,2019,42(4):115-124.
[34] HSU Y K,HOLSEN T M,HOPKE P K.Comparison of Hybrid Receptor Models to Locate PCB Sources in Chicago[J].Atmospheric Environment,2003,37(4):545-562.
[35] 刘海知,郭海燕,马振峰,等.2001～2017年全国气溶胶光学厚度时空分布及变化趋势[J].环境科学,2019,40(9):3886-3897.
LIU Hai-zhi,GUO Hai-yan,MA Zhen-feng,et al.Temporal-spatial Characteristics and Variability in Aerosol Optical Depth over China During 2001-2017[J].Environmental Science,2019,40(9):3886-3897.
[36] 王银牌,喻 鑫,谢广奇.中国近15年气溶胶光学厚度时空分布特征[J].中国环境科学,2018,38(2):426-434.
WANG Yin-pai,YU Xin,XIE Guang-qi.Spatial Distribution and Temporal Variation of Aerosol Optical Depth over China in the Past 15 Years[J].China Environmental Science,2018,38(2):426-434.
[37] 徐祥德,施晓晖,张胜军,等.北京及周边城市群落气溶胶影响域及其相关气候效应[J].科学通报,2005,50(22):2522-2530.
XU Xiang-de,SHI Xiao-hui,ZHANG Sheng-jun,et al.The Aerosol Influence Area and Related Climate Effects of Beijing and Surrounding Cities[J].Chinese Science Bulletin,2005,50(22):2522-2530.
[38] 程良晓,范 萌,陈良富,等.秋季秸秆焚烧对京津冀地区霾污染过程的影响分析[J].中国环境科学,2017,37(8):2801-2812.
CHENG Liang-xiao,FAN Meng,CHEN Liang-fu,et al.Effects on the Haze Pollution from Autumn Crop Residue Burning over the Jing-Jin-Ji Region[J].China Environmental Science,2017,37(8):2801-2812.
[39] 厉 青,张丽娟,吴传庆,等.基于卫星遥感的秸秆焚烧监测及对空气质量影响分析[J].生态与农村环境学报,2009,25(1):32-37.
LI Qing,ZHANG Li-juan,WU Chuan-qing,et al.Sa-tellite-remote-sensing-based Monitoring of Straw Burning and Analysis of Its Impact on Air Quality[J].Journal of Ecology and Rural Environment,2009,25(1):32-37.
[40] 孙 晨.我国“十二五”规划节能目标可行性分析[D].大连:东北财经大学,2013.
SUN Chen.Feasibility Analysis of China's “12th Five-year” Plan Energy-saving Target[D].Dalian:Dongbei University of Finance and Economics,2013.
[41] 张小玲,夏祥鳌,车慧正,等.区域污染对本底地区气溶胶光学特性及辐射强迫影响的地基和卫星遥感观测研究[J].环境科学,2014,35(7):2439-2448.
ZHANG Xiao-ling,XIA Xiang-ao,CHE Hui-zheng,et al.Observation Study on Aerosol Optical Properties and Radiative Forcing Using the Ground-based and Satellite Remote Sensing at Background Station During the Regional Pollution Episodes[J].Environmental Science,2014,35(7):2439-2448.
[42] 阿 多,熊 凯,赵文吉,等.1960～2013年华北平原气候变化时空特征及其对太阳活动和大气环境变化的响应[J].地理科学,2016,36(10):1555-1564.
A Duo,XIONG Kai,ZHAO Wen-ji,et al.Temporal Trend of Climate Change and Mutation Analysis of North China Plain During 1960 to 2013[J].Scientia Geographica Sinica,2016,36(10):1555-1564.
[43] LEI Y,ZHANG Q,HE K B,et al.Primary Anthropogenic Aerosol Emission Trends for China,1990-2005[J].Atmospheric Chemistry and Physics,2011,11(3):931-954.
[44] 张丽娟.北京市MODIS遥感气溶胶光学厚度与空气质量关系研究[D].北京:中国地质大学,2009.
ZHANG Li-juan.Study on the Correlation Between MODIS AOD Products and the Air Pollution in Beijing[D].Beijing:China University of Geosciences,2009.
[45] 刘 勇.MODIS气溶胶光学厚度与南京主城区空气污染指数的关系研究[D].南京:南京师范大学,2007.
LIU Yong.Study on the Correlation Between MODIS Aerosol Optical Thickness and Air Pollution Index in Nanjing[D].Nanjing:Nanjing Normal University,2007.
[46] 王冠岚,薛建军,张建忠.2014年京津冀空气污染时空分布特征及主要成因分析[J].气象与环境科学,2016,39(1):34-42.
WANG Guan-lan,XUE Jian-jun,ZHANG Jian-zhong.Analysis of Spatial-temporal Distribution Characteristics and Main Cause of Air Pollution in Beijing-Tianjin-Hebei Region in 2014[J].Meteorological and Environmental Sciences,2016,39(1):34-42.

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Last Update: 2021-11-10