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2022 ◽  
Vol 13 (2) ◽  
pp. 101884
Author(s):  
Miao Lu ◽  
Junhua Tian ◽  
Xingliang Pan ◽  
Xincheng Qin ◽  
Wen Wang ◽  
...  

Public Health ◽  
2022 ◽  
Vol 203 ◽  
pp. 47-52
Author(s):  
Z. Yu ◽  
D. Li ◽  
L. Sun ◽  
X. Zhao ◽  
H. Chang ◽  
...  

2022 ◽  
Vol 806 ◽  
pp. 150620
Author(s):  
Xiaoning Liu ◽  
Na Tang ◽  
Wanggan Yang ◽  
Jianbo Chang

2022 ◽  
Vol 170 ◽  
pp. 104312
Author(s):  
Xiya Wang ◽  
Yujiao Li ◽  
Ignacio A. Ciampitti ◽  
Ping He ◽  
Xinpeng Xu ◽  
...  

2022 ◽  
Vol 41 ◽  
pp. 103301
Author(s):  
Tao Li ◽  
Pengfei Li ◽  
Haichao Song ◽  
Zichen Xie ◽  
Wenquan Fan ◽  
...  

2022 ◽  
Vol 808 ◽  
pp. 151951
Author(s):  
Yongqing Bai ◽  
Tianliang Zhao ◽  
Weiyang Hu ◽  
Yue Zhou ◽  
Jie Xiong ◽  
...  
Keyword(s):  

Geoderma ◽  
2022 ◽  
Vol 408 ◽  
pp. 115586
Author(s):  
Zhenfu Wu ◽  
Xiaomei Sun ◽  
Yueqi Sun ◽  
Junying Yan ◽  
Yanfeng Zhao ◽  
...  

2022 ◽  
Vol 21 (2) ◽  
pp. 566-577
Author(s):  
Yong ZHOU ◽  
Xiao-yuan YAN ◽  
Song-ling GONG ◽  
Cheng-wei LI ◽  
Rong ZHU ◽  
...  

2022 ◽  
Vol 14 (2) ◽  
pp. 406
Author(s):  
Yong Xie ◽  
Yi Su ◽  
Xingfa Gu ◽  
Tiexi Chen ◽  
Wen Shao ◽  
...  

Accurate and updated aerosol optical properties (AOPs) are of vital importance to climatology and environment-related studies for assessing the radiative impact of natural and anthropogenic aerosols. We comprehensively studied the columnar AOP observations between January 2019 and July 2020 from a ground-based remote sensing instrument located at a rural site operated by Central China Comprehensive Experimental Sites in the center of the Yangtze River Delta (YRD) region. In order to further study the aerosol type, two threshold-based aerosol classification methods were used to investigate the potential categories of aerosol particles under different aerosol loadings. Based on AOP observation and classification results, the potential relationships between the above-mentioned results and meteorological factors (i.e., humidity) and long-range transportation processes were analyzed. According to the results, obvious variation in aerosol optical depth (AOD) during the daytime, as well as throughout the year, was revealed. Investigation into AOD, single-scattering albedo (SSA), and absorption aerosol optical depth (AAOD) revealed the dominance of fine-mode aerosols with low absorptivity. According to the results of the two aerosol classification methods, the dominant aerosol types were continental (accounting for 43.9%, method A) and non-absorbing aerosols (62.5%, method B). Longer term columnar AOP observations using remote sensing alongside other techniques in the rural areas in East China are still needed for accurate parameterization in the future.


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