论文

柴达木盆地气溶胶光学厚度时空分布特征及气象要素影响分析

  • 肖鸿丹 ,
  • 何清 ,
  • 袁淑杰 ,
  • 李京龙 ,
  • 阴璐璐
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  • 1. 成都信息工程大学大气科学学院,四川 成都 610225
    2. 中国气象局乌鲁木齐沙漠研究所 新疆塔克拉玛干沙漠气象国家野外科学观测站 中国气象局塔克拉玛干沙漠 气象野外科学试验基地 新疆维吾尔自治区沙漠气象与沙尘暴重点实验室,新疆 乌鲁木齐 830002
    3. 新疆大学地理与遥感科学学院,新疆 乌鲁木齐 830017
    4. 新疆师范大学地理科学与旅游学院,新疆 乌鲁木齐 830054

肖鸿丹(1998 -), 男, 四川成都人, 硕士研究生, 主要从事陆面过程研究. E-mail:

收稿日期: 2023-06-27

  修回日期: 2023-11-08

  网络出版日期: 2024-06-03

基金资助

国家自然科学基金项目(42030612); 第二次青藏高原综合科学考察研究项目(2019QZKK010206)

Spatial and Temporal Distribution Characteristics of AOD and Influence of Meteorological Factors in Qaidam Basin

  • Hongdan XIAO ,
  • Qing HE ,
  • Shujie YUAN ,
  • Jinglong LI ,
  • Lulu YIN
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  • 1. College of Atmospheric Sciences,Chengdu University of Information Technology / Sichuan Key Laboratory of Plateau Atmosphere and Environment,Chengdu 610225,Sichuan,China
    2. Institute of Desert Meteorology,China Meteorological Administration/National observation and Research Station of Desert Meteorology,Taklimakan Desert of Xinjiang/Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration/Xinjiang Key Laboratory of Desert Meteorology and Sandstorm,Urumqi 830002,China
    3. College of Geography Remote sensing Sciences,Xinjiang University,Urumqi 830017,China
    4. College of Geography Science and Tourism,Xinjiang Normal University,Urumqi 830054,China

Received date: 2023-06-27

  Revised date: 2023-11-08

  Online published: 2024-06-03

摘要

基于MODIS MCD19A2气溶胶数据集, 利用线性趋势、 Spearman相关性分析及?ngstr?m指数内插法, 探究柴达木盆地2001 -2021年大气气溶胶光学厚度的时空分布特征及气象因子影响。结果表明: 在年际尺度上, 柴达木盆地AOD波动上升, 年增幅为3.74%, 年均值为0.110±0.002; 在季节尺度上, AOD季节性变化明显, 其值由高到低分别为春季、 夏季、 秋季、 冬季, 其中, 春夏季AOD呈波动变化, 秋冬季AOD无明显变化; 月尺度上, AOD呈单峰型, 峰值为4月。在空间上, AOD高值区位于柴达木盆地腹部, 呈现中间高四周低的分布特征, 低值区位于昆仑山脉和祁连山脉等高海拔地区及植被覆盖率较高的区域。气象要素对AOD都有着一定影响, 其中风速、 温度、 相对湿度、 云量和降水都与AOD呈正相关, 风速和温度对AOD的影响最大。

本文引用格式

肖鸿丹 , 何清 , 袁淑杰 , 李京龙 , 阴璐璐 . 柴达木盆地气溶胶光学厚度时空分布特征及气象要素影响分析[J]. 高原气象, 2024 , 43(3) : 762 -774 . DOI: 10.7522/j.issn.1000-0534.2023.00091

Abstract

Based on the MODIS MCD19A2 aerosol dataset, the temporal and spatial distribution characteristics of the atmospheric aerosol optical thickness (AOD) and the influence of meteorological factors in the Qaidam Basin from 2001 to 2021 were investigated by using linear trend, Spearman correlation analysis, and ?ngstr?m exponential interpolation, and the results show that: (1) On the interannual scale, the AOD in the Qaidam Basin fluctuates upward, with an annual increase of 3.74% and an annual mean value of 0.110±0.002; on the seasonal scale, AOD has obvious seasonal changes, and its value from high to low is spring, summer, autumn and winter, respectively.AOD in spring and summer fluctuates, while AOD in autumn and winter has no obvious change.on the monthly scale, the AOD is in the shape of a single peak, and the peak value is in April.(2) In space, the high value area of AOD is located in the hinterland of Qaidam Basin, showing the distribution characteristics of high in the middle and low around, and the low value area is located in the high altitude areas such as Kunlun Mountain Range and Qilian Mountain Range and the area with high vegetation cover.(3) Meteorological factors have a certain influence on AOD, among which wind speed, temperature, relative humidity, cloudiness and precipitation are positively correlated with AOD, and wind speed and temperature have the greatest influence on AOD.

参考文献

null
?ngstr?m A1929.On the atmospheric transmission of sun radiation and on dust in the air[J].Geografiska Annaler, 11: 156-166.DOI: 10.2307/519399 .
null
Bellouin N Boucher O Haywood J, et al, 2005.Global estimate of aerosol direct radiative forcing from satellite measurements[J].Nature, 438: 1138-1141.DOI: 10.1038/nature04348 .
null
Che H Z Zhang X Y Chen H B, et al, 2009.Instrument calibration and aerosol optical depth validation of the China Aerosol Remote Sensing Network[J].Journal of Geophysical Research: Atmospheres, 114: D03206.DOI: 10.1029/2008JD011030 .
null
Chu D A Kaufman Y J Ichoku C, et al, 2002.Validation of MODIS aerosol optical depth retrieval over land [J].Geophysical Research Letters, 29: 12.DOI: 10.1029/2005GL024713 .
null
He L J Wang L C Lin A W, et al, 2018.Performance of the NPP-VIIRS and Aqua-MODIS aerosol optical depth products over the Yangtze River Basin[J].Remote Sensing10(1): 117.
null
Holben B N, et al, 2001.An emerging ground-based aerosol climatology: aerosol optical depth from AERONET[J].Journal of Geophysical Research, 106: 12067-12097.DOI: 10.1029/2001JD900014 .
null
Khoir A N, et al, 2022.Spatio-temporal analysis of aerosol optical depth using rotated empirical orthogonal function over the Maritime Continent from 2001-2020[J].Atmospheric Environment, 290.DOI: 10.1016/J.ATMOSEENV.2022.119356 .
null
Khoir A N Ooi M C G Juneng L, et al, 2022.Spatio-temporal analysis of aerosol optical depth using rotated empirical orthogonal function over the Maritime Continent from 2001 to 2020[J].Atmospheric Environment, 290: 148-160.
null
King M D Kaufman Y J, et al, 1992.Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS)[J].IEEE Transactions on Geoscience and Remote Sensing, 30: 2-27.DOI: 10.1109/36.124212
null
Li J L Ge X He Q, et al, 2021.Aerosol optical depth (AOD): spatial and temporal variations and association with meteorological covariates in Taklimakan desert, China[J].PeerJ, 9: e10542.DOI: 10.7717/peerj.10542 .
null
Li J L He Q Ge X, et al, 2022.Spatiotemporal distribution of aerosols over the Tibet Plateau and Tarim Basin (1980-2020)[J].Journal of Cleaner Production, 374: 133958.DOI: 10.1016/j.jclepro.2022.133958 .
null
Li J L He Q Jin L, et al, 2023.Three-dimensional distribution of dust aerosols over the Tarim Basin and the Tibet Plateau during 2007-2021 derived from CALIPSO lidar observations[J].Journal of Cleaner Production, 400: 136746.DOI: 10.1016/j.jclepro.2023.136746 .
null
Mikael E A J T Einhard K, et al, 2014.A large source of low-volatility secondary organic aerosol[J].Nature506(7489): 476-479.DOI: 10.1038/nature13032 .
null
Omidvar K Dehghan M Khosravi Y, , 2022.Assessment of relationship between aerosol optical depth (AOD) index, wind speed, and visibility in dust storms using genetic algorithm in central Iran (case study: Yazd Province)[J].Air Quality, Atmosphere & Health, 15(10): 1745-1753.
null
Raju L Gandhimathi R Mathew A, et al, 2022.Spatio-temporal modelling of particulate matter concentrations using satellite derived aerosol optical depth over coastal region of Chennai in India[J].Ecological Informatics, 69: 101681.
null
Ramanathan V Crutzen P J Kiehl J T, et al, 2001.Aerosols, climate, and the hydrological cycle[J].Science294(5549): 2119-2124.DOI: 10.1126/science.1064034
null
Smirnov A Holben B N Eck T F, et al, 2000.Cloud-screening and quality control algorithms for the AERONET database[J].Remote Sensing of Environment73(3): 337-349.DOI: 10.1016/s0034-4257(00)00109-7 .
null
Van Zelm R V Huijbregts M A J Hollander H A D, et al, 2008.Euro-pean characterization factors for human health damage of PM10 and ozone in life cycle impact assessment[J].Atmospheric Environment, 42: 441-453.DOI: 10.1016/j.atmosenv.2007. 09.072 .
null
Vaughan M A Young S A Winker D M, et al, 2004.Fully automated analysis of space-based lidar data: an overview of the CALIPSO retrieval algorithms and data products[C].DOI: 10.1117/12.572024 .
null
陈翔, 汪洋, 周佩, 等, 2023.中国地区MODIS Terra/Aqua MAIAC气溶胶光学厚度(AOD)产品反演误差对比分析[J].环境科学学报43(7): 220-232.DOI: 10.13671/j.hjkxxb.2023.0013.Chen X
null
Wang Y Zhou P, et al, 2023.Comparative analysis of retrieval errors of MODIS Terra/Aqua MAIAC aerosol optical depth (AOD)products in China[J].Acta Scientiae Circumstantiae43(7): 220-232.DOI: 10.13671/j.hjkxxb.2023.0013 .
null
关佳欣, 李成才, 2010.我国中、 东部主要地区气溶胶光学厚度的分布和变化[J].北京大学学报(自然科学版)46(2): 185-191.DOI: 10.13209/j.0479-8023.2010.027.Guan J X
null
Li C C, et al, 2010.Spatial distributions and changes of aerosol optical depth over Eastern and Central China[J].Acta Scientiarum Naturalium Universitatis Pekinensis46(2): 185-191.DOI: 10.13209/j.0479-8023.2010.027 .
null
郭婉臻, 张飞, 夏楠, 等, 2019.近十年中国陆地AOD时空分布及与城市化的关系研究[J].环境科学学报39(7): 2339-2352.DOI: 10.13671/j.hjkxxb.2019.0063.Guo W Z
null
Zhang F Xia N, et al, 2019.Spatio-temporal characteristics of aerosol optical depth and their relationship with urbanization over China's land in nearly a decade[J].Acta Scientiae Circumstantiae39(7): 2339-2352.DOI: 10.13671/j.hjkxxb.2019.0063 .
null
韩可欣, 2017.基于MODIS数据的西南地区气溶胶光学厚度时空分布及影响因素研究[D].贵阳: 贵州师范大学.Han K X, 2017.Spatialand temporal distributionand influencing factors of aerosol optical depth based on MODIS Data in Southwest China[D].Guiyang: Guizhou Normal University.
null
韩廷芳, 张令振, 石秀云, 等, 2019.1961-2017年柴达木盆地降水时空变化特征[J].青海农技推广(3): 50-53.Han Y F, Zhang L Z, Shi X Y, et al, 2019.Spatial-temporal variation of precipitation in Qaidam Basin from 1961 to 2017[J].Qinghai agricultural technology extension (3): 50-53.
null
何生录, 张亚珍, 韩忠全, 等, 2021.柴达木盆地日照时数风速变化特征分析及影响研究[J].青海环境31(3): 148-156.
null
He S L Zhang Y Z Han Z Q, et al, 2021.Analysis and influence of sunshine hours and wind speed variation in Qaidam Basin[J].Environment of Qinghai31(3): 148-156.
null
黄建平, 刘玉芝, 王天河, 等, 2021.青藏高原及周边地区气溶胶、 云和水汽收支研究进展[J].高原气象40(6): 1225-1240.
null
Huang J P Liu Y Z Wang T H, et al, 2021.An overview of the aerosol and cloud properties and water vapor budget over the Qinghai-Xizang Plateau[J].Plateau Meteorology40(6): 1225-1240.DOI: 10.7522/j.issn.1000-0534.2021.zk012 .
null
李本涛, 张镭, 张云舒, 等, 2023.青藏高原沙尘气溶胶时空变化及其来源地分析[J].高原气象42(3): 564-574.DOI: 10.7522/j.issn.1000-0534.2022.00100.Li B T
null
Zhang L Zhang Y S, et al, 2023.Temporal and spatial changes of dust aerosol over Qinghai-Xizang (Tibet) Plateau and analysis on its source regions[J].Plateau Meteorology42(3): 564-574.DOI: 10.7522/j.issn.1000-0534.2022.00100 .
null
李成才, 刘启汉, 毛节泰, 等, 2004.利用MODIS卫星和激光雷达遥感资料研究香港地区的一次大气气溶胶污染[J].应用气象学报 (6): 641-650+781.Li C C, Mao J T, Liu Q H, et al, 2004.Primary aerosol pollution in Hong Kong was studied using MODIS satellite and LiDAR remote sensing data[J].Journal of Applied Meteorology Science(6): 641-650+781.
null
李成才, 毛节泰, 刘启汉, 等, 2003.利用MODIS遥感大气气溶胶及气溶胶产品的应用[J].北京大学学报(自然科学版), (S1): 108-117.DOI: 10.13209/j.0479-8023.2003.151.Li C C
null
Mao J T Liu Q H, et al, 2003.Application of MODIS remote sensing of atmospheric aerosols and aerosol products[J].Journal of Peking University (Natural Science)(S1): 108-117.DOI: 10.13209/j.0479-8023.2003.151 .
null
李成才, 毛节泰, 刘启汉, 等, 2003.用MODIS遥感资料分析四川盆地气溶胶光学厚度时空分布特征[J].应用气象学报 (1): 1-7.Li C C, Mao J T, Liu Q H, et al, 2003.Spatial and temporal distribution of aerosol optical thickness in Sichuan Basin was analyzed using MODIS remote sensing data[J].Journal of Applied Meteorology Science (1): 1-7.
null
李成才, 毛节泰, 刘启汉, 2005.MODIS卫星遥感气溶胶产品在北京市大气污染研究中的应用[J].中国科学(D辑: 地球科学), (S1): 177-186.Li C C, Mao J T, Liu Q H, 2005.Application of MODIS satellite remote sensing aerosol products in the study of air pollution in Beijing[J].Science in China (Series D: Earth Sciences) (S1): 177-186.
null
李林, 申红艳, 李红梅, 等, 2015.柴达木盆地气候变化的区域显著性及其成因研究[J].自然资源学报30(4): 641-650.DOI: 10.11849/zrzyxb.2015.04.010.Li L
null
Shen H Y Li H M, et al, 2015.Regional differences of climate change in Qaidam Basin and its contributing factors[J].Journal of Natural Resources30(4): 641-650.DOI: 10.11849/zrzyxb.2015.04.010 .
null
林健宇, 2021.基于全球AERONET地面观测的气溶胶类型分析研究[D].南京: 南京信息工程大学.DOI: 10.27248/d.cnki.gnjqc. 2021.000231.Ling J Y, 2021.Analysis of aerosol types based on global AERONET ground observations[D].Nanjing: Nanjing University of Information Science and Technology.
null
刘莹, 林爱文, 覃文敏, 等, 2019.1990-2017年中国地区气溶胶光学厚度的时空分布及其主要影响类型[J].环境科学40(6): 2572-2581.DOI: 10.13227/j.hjkx.201809220.Liu Y
null
Lin A W Qin W M, et al, 2019.Spatial-temporal distribution of aerosol optical depth and its main influence types in China during 1990-2017[J].Environmental Science40(6): 2572-2581.DOI: 10.13227/j.hjkx.201809220 .
null
陆忠奇, 李京龙, 何清, 等, 2022.南疆地区AOD时空分布特征及气象影响因素分析[J].环境科学学报42(3): 309-321.DOI: 10.13671/j.hjkxxb.2021.0334.Lu Z Q
null
Li J L He Q, et al, 2022.Spatiotemporal distribution of AOD in southern Xinjiang and meteorological influencing factors[J].Acta Scientiae Circumstantiae42(3): 309-321.DOI: 10.13671/j.hjkxxb.2021.0334 .
null
沈仙霞, 2014.基于CALIPSO卫星的区域气溶胶特性研究[D].上海: 华东师范大学.Shen X X, 2014.Study on regional and environmental sciences[D].Shanghai: East China Normal University.
null
宋宇, 唐孝炎, 张远航, 等, 2002.夏季持续高温天气对北京市大气细粒子(PM_(2.5))的影响[J].环境科学, (4): 33-36.DOI: 10.13227/j.hjkx.2002.04.007.Song Y
null
Tang X Y Zhang Y H, et al, 2002.Effects on fine particles by the continued high temperature weather in Beijing[J].Environmental Science, (4): 33-36.DOI: 10.13227/j.hjkx.2002.04.007 .
null
孙忠保, 程先富, 夏晓圣, 2021.中国气溶胶光学厚度的时空分布及影响因素分析[J].中国环境科学41(10): 4466-4475.DOI: 10.19674/j.cnki.issn1000-6923.20210705.001.Sun Z B
null
Cheng X F Xia X S2021.Spatial-temporaldistribution and impact factors of aerosol optical depth over China[J].China Environmental Science41(10): 4466-4475.DOI: 10.19674/j.cnki.issn1000-6923 .
null
吴浩, 许潇锋, 杨晓玥, 等, 2020.青藏高原及周边区域沙尘气溶胶三维分布和传输特征[J].环境科学学报40(11): 4081-4091.DOI: 10.13671/j.hjkxxb.2020.0139.Wu H
null
Xu X F Yang X Y, et al, 2020.Three-dimensional distribution and transport characteristics of dust over Tibetan Plateau and surrounding areas[J].Acta Scientiae Circumstantiae40(11): 4081-4091.DOI: 10.13671/j.hjkxxb.2020.0139 .
null
许婉彤, 曾彪, 李博, 等, 2019.柴达木盆地气候变化区域性特征及其影响因素[J].兰州大学学报(自然科学版)55(3): 357-364+372.DOI: 10.13885/j.issn.0455-2059.2019.03.011.Xu W T
null
Zeng B Li B, et al, 2019.Regional differentiation of climate changes in Qaidam Basin and its influencing factors[J].Journal of Lanzhou University: Natural Sciences55(3): 357-364+372.DOI: 10.13885/j.issn.0455-2059.2019.03.011 .
null
晏利斌, 刘晓东, 2009.京津冀地区气溶胶季节变化及与云量的关系[J].环境科学研究22(8): 924-931.DOI: 10.13198/j.res.2009.08.52.yanlb.019.Yan L B
null
Liu X D2009.Seasonal variation of atmospheric aerosol and its relation to cloud faction over Beijing-Tianjin-Hebei Region[J].Research of Environmental Sciences22(8): 924-931.DOI: 10.13198/j.res.2009.08.52.yanlb.019 .
null
俞海洋, 张杰, 李婷, 等, 2018.2000-2013年北京及周边地区大气气溶胶光学厚度时空变化特征及气象影响因素分析[J].气象科学38(4): 512-522.DOI: 10.3969 /2017jms.0048.Yu H Y
null
Zhang J Li T, et al, 2018.Spatia-temporal variation of atmospheric aerosol optical depth and the meteorological factors in Beijing and surrounding area from 2000 to 2013[J].Journal of the Meteorological Sciences38(4): 512-522.DOI: 10.3969 /2017jms.0048 .
null
张亮林, 潘竟虎, 张大弘, 2018.基于 MODIS 数据的中国气溶胶光学厚度时空分布特征[J].环境科学学报38( 11): 4431-4439.DOI: 10.13671/j.hjkxxb.2018.0059.Zhang L L
null
Pan J H Zhang D H2018.Spatio-temporal distribution characteristics of aerosol optical depths in China based on MODIS data[J].Acta Scientiae Circumstantiae38( 11): 4431-4439.DOI: 10.13671/j.hjkxxb.2018.0059 .
null
张玲, 郑小慎, 2021.基于CALIPSO数据的沿海区域气溶胶光学特性时空特征[J].地球科学与环境学报43(6): 1033-1049.DOI: 10.19814/j.jese.2021.04022.Zhang L
null
Zheng X S2021.Spatial-temporal variation of aerosol optical properties in coastal region, China based on CALIPSO data[J].Journal of Earth Sciences and Environment43(6): 1033-1049.DOI: 10.19814/j.jese.2021.04022 .
null
张小曳, 2007.中国大气气溶胶及其气候效应的研究[J].地球科学进展22(1): 12-16.
null
Zhang X Y2007.Aerosol ober China and Their Climate Effect[J].Advances in Earth Science22(1): 12-16.
null
张芝娟, 衣育红, 陈斌, 等, 2019.2018年春季中国北方大范围沙尘天气对城市空气质量的影响及其天气学分析[J].中国沙漠39(6): 13-22.DOI: 10.7522 /j.issn.1000-694X.2018.00134.Zhang Z J
null
Yi Y H Chen B, et al, 2019.Effectof Dust weather on urban air quality over Northern China in spring of 2018 and its weather analysis[J].Journal of Desert Research39(6): 13-22.DOI: 10.7522 /j.issn.1000-694X.2018.00134 .
null
赵仕伟, 高晓清, 2017.利用MODIS C6数据分析中国西北地区气溶胶光学厚度时空变化特征[J].环境科学38(7): 2637-2646.DOI: 10.13227/j.hjkx.201611164.Zhao S W
null
Gao X Q2017.Analysis of spatio-temporal distribution and variation characteristics of aerosol optical depth over the Northwest of China by MODIS C6 product[J].Environmental Science38(7): 2637-2646.DOI: 10.13227/j.hjkx.201611164 .
null
赵一鸣, 江月松, 张绪国, 等, 2009.利用CALIPSO卫星数据对大气气溶胶的去偏振度特性分析研究[J].光学学报29(11): 2943-2951.
null
Zhao Y M Jiang Y S Zhang X G, et al, 2009.Research on the depoalrization ratio characteristic of the aerosol in the atmosphere with the CALIPSO satellite data[J].Acta Optica Sinica29(11): 2943-2951.
null
周佩, 汪洋, 徐玲琳, 等, 2022.基于 AERONET 数据的气溶胶光学特性分析[J].遥感学报26(5): 953-970.DOI: 10.11834/jrs.20221191.Zhou P
null
Wang Y Xu L L, et al, 2022.Study of aerosol optical properties based on AERONET data[J].National Remote Sensing Bulletin26(5): 953-970.DOI: 10.11834/jrs.20221191 .
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