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首页> 外文期刊>Atmospheric environment >Aerosol optical depth climatology over Central Asian countries based on Aqua-MODIS Collection 6.1 data: Aerosol variations and sources
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Aerosol optical depth climatology over Central Asian countries based on Aqua-MODIS Collection 6.1 data: Aerosol variations and sources

机译:基于Aqua-MODIS Collection 6.1数据的中亚国家气溶胶光学深度气候:气溶胶的变化和来源

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摘要

The aim of this study is to explore the aerosol optical depth (AOD) - an indicator of air quality, based on satellite data over Central Asia. Due to limited studies and lack of knowledge regarding AOD variations over this region, five countries (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan) and fifteen sites including the capital cities were selected for the analysis. Long-term Aqua-MODIS Collection 6.1 Deep Blue (DB) AOD observations at 10 km spatial resolution were obtained for 2002-2017 and the angstrom ngstrom exponent (AE) was calculated using spectral AOD observations. AOD and AE were explored based on seasonal and inter-annual scale. The relationship between aerosol loading and economic indicator (gross domestic product) was also analyzed. Highest frequencies of low AOD and high AE were observed in all countries. Average AOD (AE) values during the study period were 0.17 +/- 0.09 (1.29 +/- 0.17) for Kazakhstan, 0.11 +/- 0.13 (1.41 +/- 0.13) for Kyrgyzstan, 0.17 +/- 0.14 (1.36 +/- 0.18) for Tajikistan, 0.20 +/- 0.10 (1.10 +/- 0.28) for Turkmenistan, and 0.18 +/- 0.09 (1.18 +/- 0.24) for Uzbekistan. Summer season experienced highest aerosol loading over Kazakhstan, Tajikistan, and Uzbekistan, whereas spring season experienced highest aerosol loading over Kyrgyzstan and Turkmenistan possibly due to the influence of less precipitation and dust from the arid regions. All fifteen cities selected in this study exhibited increasing aerosol load. Aerosol types based on the relationship between AOD and AE were investigated, results suggested the clean continental aerosol as a major aerosol type over the region, whereas the contribution of mixed aerosols was observed during spring and summer seasons. This study suggests for establishment of ground-based aerosol monitoring stations network and inclusions of modeling works to understand the complex nature of aerosol over this vast landmass.
机译:这项研究的目的是基于中亚的卫星数据,探索气溶胶光学深度(AOD)-空气质量的指标。由于该地区的AOD变化研究有限,缺乏知识,因此选择了五个国家(哈萨克斯坦,吉尔吉斯斯坦,塔吉克斯坦,土库曼斯坦和乌兹别克斯坦)和包括首都在内的15个地点进行分析。 Aqua-MODIS长期收集6.1在2002-2017年获得了10 km空间分辨率的深蓝色(DB)AOD观测值,并使用光谱AOD观测值计算了埃ngstrom指数(AE)。根据季节和年际规模对AOD和AE进行了研究。还分析了气溶胶载量与经济指标(国内生产总值)之间的关系。在所有国家中观察到低AOD和高AE的最高频率。研究期间的平均AOD(AE)值分别为哈萨克斯坦0.17 +/- 0.09(1.29 +/- 0.17),吉尔吉斯斯坦0.11 +/- 0.13(1.41 +/- 0.13),0.17 +/- 0.14(1.36 + / -塔吉克斯坦为0.18),土库曼斯坦为0.20 +/- 0.10(1.10 +/- 0.28),乌兹别克斯坦为0.18 +/- 0.09(1.18 +/- 0.24)。夏季在哈萨克斯坦,塔吉克斯坦和乌兹别克斯坦的气溶胶负荷最高,而在吉尔吉斯斯坦和土库曼斯坦的春季气溶胶负荷最高,这可能是由于干旱地区降水和灰尘较少的影响。在这项研究中选择的所有15个城市都表现出了越来越高的气溶胶负荷。根据AOD和AE的关系研究了气溶胶类型,结果表明清洁的大陆气溶胶是该地区的主要气溶胶类型,而在春季和夏季则观察到混合气溶胶的贡献。这项研究建议建立基于地面的气溶胶监测站网络,并进行建模工作,以了解这一广阔土地上气溶胶的复杂性质。

著录项

  • 来源
    《Atmospheric environment》 |2019年第6期|205-214|共10页
  • 作者单位

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China|Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Inst Atmospher Phys, Lab Middle Atmosphere & Global Environm Observat, Beijing 100029, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China|Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    MODIS; DB; AOD; Angstrom exponent; Aerosol classification; Central asia;

    机译:MODIS;DB;AOD;Angstrom指数;气溶胶分类;中亚;

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