Arid
DOI10.3390/rs14236090
Spatial and Temporal Variations in Spring Dust Concentrations from 2000 to 2020 in China: Simulations with WRF-Chem
Wang, Feng; Wang, Mengqiang; Kong, Yunfeng; Zhang, Haopeng; Ru, Xutong; Song, Hongquan
通讯作者Song, HQ
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2022
卷号14期号:23
英文摘要Dust emitted from arid and semi-arid areas of China is a main contributor to the global atmospheric aerosols. However, the long-term spatial and temporal variations in dust concentrations in China is still unknown. Here, we simulated the spatial and temporal variations in spring dust concentrations in China from 2000 to 2020 using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem). The results showed that the configured WRF-Chem model in this study reproduced the spatial patterns and temporal variations of dust aerosols. The annual mean spring dust concentration at the country level was 26.95 g kg(-1)-dry air and showed a slightly increasing trend in China during 2000-2020. There were clear spatial differences and inter-annual variations in dust concentrations. The dust concentration generally decreased from the dust source regions of the northwest to the southeast regions of China. Obvious increasing and decreasing trends in spring dust concentrations were identified in the regions of northern Xinjiang and Gansu and in the regions of southern Xinjiang and western Inner Mongolia, respectively. In May, the dust concentration showed an increasing trend in most regions of northwestern China. This provided the basic information for insight into the long-term spatial and temporal variations in spring dust concentrations in China.
英文关键词dust emission dust aerosol dust concentration WRF-Chem China
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000897144800001
WOS关键词NORTHERN CHINA ; EAST-ASIA ; ANTHROPOGENIC DUST ; NORTHWEST CHINA ; AIR-QUALITY ; MINERAL DUST ; DESERT DUST ; VEGETATION DYNAMICS ; PM10 CONCENTRATIONS ; PART I
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/394241
推荐引用方式
GB/T 7714
Wang, Feng,Wang, Mengqiang,Kong, Yunfeng,et al. Spatial and Temporal Variations in Spring Dust Concentrations from 2000 to 2020 in China: Simulations with WRF-Chem[J],2022,14(23).
APA Wang, Feng,Wang, Mengqiang,Kong, Yunfeng,Zhang, Haopeng,Ru, Xutong,&Song, Hongquan.(2022).Spatial and Temporal Variations in Spring Dust Concentrations from 2000 to 2020 in China: Simulations with WRF-Chem.REMOTE SENSING,14(23).
MLA Wang, Feng,et al."Spatial and Temporal Variations in Spring Dust Concentrations from 2000 to 2020 in China: Simulations with WRF-Chem".REMOTE SENSING 14.23(2022).
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