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Rapid identification of rainstorm disaster risks based on an artificial intelligence technology using the 2DPCA method 期刊论文
ATMOSPHERIC RESEARCH, 2019, 227: 157-164
作者:  Liu, Yuan-yuan;  Li, Lei;  Zhang, Wen-hai;  Chan, Pak-wai;  Liu, Ye-sen
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
Rainstorm  Risk identification  Artificial intelligence  Machine learning  2DPCA  
Case study of the effects of aerosol chemical composition and hygroscopicity on the scattering coefficient in summer, Xianghe, southeast of Beijing, China 期刊论文
ATMOSPHERIC RESEARCH, 2019, 225: 81-87
作者:  Zou, Jianan;  Wang, Meng;  Zhao, Shuman;  Wu, Xiaoyan;  Zhao, Lei;  Liu, Jingda;  Gao, Wenkang;  Tang, Guiqian;  Xin, Jinyuan;  Wang, Lili;  Ji, Dongsheng;  Xu, Hanbing;  Wang, Yuesi;  Hu, Bo
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/27
Scattering coefficient  Visibility  Aerosol chemical composition  Relative humidity  Hygroscopic growth  
Wintertime aerosol chemistry in Beijing during haze period: Significant contribution from secondary formation and biomass burning emission 期刊论文
ATMOSPHERIC RESEARCH, 2019, 218: 25-33
作者:  Li, Xingru;  Jiang, Lei;  Bai, Yu;  Yang, Yang;  Liu, Shuiqiao;  Chen, Xi;  Xu, Jing;  Liu, Yusi;  Wang, Yingfeng;  Guo, Xueqing;  Wang, Yuesi;  Wang, Gehui
收藏  |  浏览/下载：14/0  |  提交时间：2019/04/09
Haze  PM2.5  Chemical compositions  Organic tracers  Source apportionment