Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017

Knowledge of aerosol-type distribution is critical to the evaluation of aerosol–climate effects. However, research on aerosol-type distribution covering all is limited. This study characterized the spatiotemporal distribution of major aerosol types over China by using MODerate resolution Imaging Spe...
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Gespeichert in:

Autor*in:	Qi-Xiang Chen [verfasserIn] Chun-Lin Huang [verfasserIn] Yuan Yuan [verfasserIn] Qian-Jun Mao [verfasserIn] He-Ping Tan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	aerosol aerosol type background aerosol subtype China

Übergeordnetes Werk:	In: Atmosphere - MDPI AG, 2011, 11(2020), 7, p 703
Übergeordnetes Werk:	volume:11 ; year:2020 ; number:7, p 703

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/atmos11070703

Katalog-ID:	DOAJ010343415

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language	English
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callnumber-first	Q - Science
author	Qi-Xiang Chen
spellingShingle	Qi-Xiang Chen misc QC851-999 misc aerosol misc aerosol type misc background aerosol subtype misc China misc Meteorology. Climatology Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017
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topic_title	QC851-999 Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017 aerosol aerosol type background aerosol subtype China
topic	misc QC851-999 misc aerosol misc aerosol type misc background aerosol subtype misc China misc Meteorology. Climatology
topic_unstemmed	misc QC851-999 misc aerosol misc aerosol type misc background aerosol subtype misc China misc Meteorology. Climatology
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title	Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017
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title_full	Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017
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title_sort	spatiotemporal distribution of major aerosol types over china based on modis products between 2008 and 2017
callnumber	QC851-999
title_auth	Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017
abstract	Knowledge of aerosol-type distribution is critical to the evaluation of aerosol–climate effects. However, research on aerosol-type distribution covering all is limited. This study characterized the spatiotemporal distribution of major aerosol types over China by using MODerate resolution Imaging Spectroradiometer (MODIS) products from 2008 to 2017. Two aerosol-type classification methods were combined to achieve this goal. One was for relatively high aerosol load (AOD ≥ 0.2) using aerosol optical depth (AOD) and aerosol relative optical depth (AROD) and the other was for low aerosol load (AOD < 0.2) using land use and population density information, which assumed that aerosols are closely related to local emissions. Results showed that the dominant aerosol-type distribution has a distinct spatial and temporal pattern. In western China, background aerosols (mainly dust/desert dust and continent aerosol) dominate with a combined occurrence ratio over 70% and they have slight variations on seasonal scale. While in eastern China, the dominant aerosols show strong seasonal variations. Spatially, mixed aerosols dominate most parts of eastern China in spring due to the influence of long-range transported dust from Taklamakan and Gobi desert and urban/industry aerosols take place in summer due to strong photochemical reactions. Temporally, mixed and urban/industry aerosols co-dominate eastern China.
abstractGer	Knowledge of aerosol-type distribution is critical to the evaluation of aerosol–climate effects. However, research on aerosol-type distribution covering all is limited. This study characterized the spatiotemporal distribution of major aerosol types over China by using MODerate resolution Imaging Spectroradiometer (MODIS) products from 2008 to 2017. Two aerosol-type classification methods were combined to achieve this goal. One was for relatively high aerosol load (AOD ≥ 0.2) using aerosol optical depth (AOD) and aerosol relative optical depth (AROD) and the other was for low aerosol load (AOD < 0.2) using land use and population density information, which assumed that aerosols are closely related to local emissions. Results showed that the dominant aerosol-type distribution has a distinct spatial and temporal pattern. In western China, background aerosols (mainly dust/desert dust and continent aerosol) dominate with a combined occurrence ratio over 70% and they have slight variations on seasonal scale. While in eastern China, the dominant aerosols show strong seasonal variations. Spatially, mixed aerosols dominate most parts of eastern China in spring due to the influence of long-range transported dust from Taklamakan and Gobi desert and urban/industry aerosols take place in summer due to strong photochemical reactions. Temporally, mixed and urban/industry aerosols co-dominate eastern China.
abstract_unstemmed	Knowledge of aerosol-type distribution is critical to the evaluation of aerosol–climate effects. However, research on aerosol-type distribution covering all is limited. This study characterized the spatiotemporal distribution of major aerosol types over China by using MODerate resolution Imaging Spectroradiometer (MODIS) products from 2008 to 2017. Two aerosol-type classification methods were combined to achieve this goal. One was for relatively high aerosol load (AOD ≥ 0.2) using aerosol optical depth (AOD) and aerosol relative optical depth (AROD) and the other was for low aerosol load (AOD < 0.2) using land use and population density information, which assumed that aerosols are closely related to local emissions. Results showed that the dominant aerosol-type distribution has a distinct spatial and temporal pattern. In western China, background aerosols (mainly dust/desert dust and continent aerosol) dominate with a combined occurrence ratio over 70% and they have slight variations on seasonal scale. While in eastern China, the dominant aerosols show strong seasonal variations. Spatially, mixed aerosols dominate most parts of eastern China in spring due to the influence of long-range transported dust from Taklamakan and Gobi desert and urban/industry aerosols take place in summer due to strong photochemical reactions. Temporally, mixed and urban/industry aerosols co-dominate eastern China.
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container_issue	7, p 703
title_short	Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017
url	https://doi.org/10.3390/atmos11070703 https://doaj.org/article/b4306eccc1544e58861b1473be4bda65 https://www.mdpi.com/2073-4433/11/7/703 https://doaj.org/toc/2073-4433
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Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017

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