Regional Predictions of Air Pollution in Guangzhou: Preliminary Results and Multi-Model Cross-Validations

doi:10.3390/atmos13101527

	Qiao, Zhi 1,2,3; Cui, Shengcheng 1,2; Pei, Chenglei 4,5,6,7; Ye, Zhou 1,2,3; Wu, Xiaoqing 1,2; Lei, Lei 7; Luo, Tao 1,2; Zhang, Zihan 1,2; Li, Xuebin 1,2; Zhu, Wenyue 1,2
	Regional Predictions of Air Pollution in Guangzhou: Preliminary Results and Multi-Model Cross-Validations
刊名	ATMOSPHERE
ISSN号	2073-4433
	2022
卷号	13 期号:10 页码:1527
DOI	10.3390/atmos13101527
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000872188200001
收录类别	SCIE
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.gig.ac.cn/handle/344008/69932
专题	有机地球化学国家重点实验室
作者单位	1.Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei; 230031, China 2.Advanced Laser Technology Laboratory of Anhui Province, Hefei; 230037, China 3.Science Island Branch of Graduate School, University of Science and Technology of China, Hefei; 230026, China 4.State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou; 510640, China 5.CAS Center for Excellence in Deep Earth Science, Guangzhou; 510640, China 6.University of Chinese Academy of Sciences, Beijing; 100049, China 7.Guangzhou Sub-Branch of Guangdong Ecological and Environmental Monitoring Center, Guangzhou; 510060, China
推荐引用方式 GB/T 7714	Qiao, Zhi,Cui, Shengcheng,Pei, Chenglei,et al. Regional Predictions of Air Pollution in Guangzhou: Preliminary Results and Multi-Model Cross-Validations[J]. ATMOSPHERE,2022,13(10):1527.
APA	Qiao, Zhi.,Cui, Shengcheng.,Pei, Chenglei.,Ye, Zhou.,Wu, Xiaoqing.,...&Zhu, Wenyue.(2022).Regional Predictions of Air Pollution in Guangzhou: Preliminary Results and Multi-Model Cross-Validations.ATMOSPHERE,13(10),1527.
MLA	Qiao, Zhi,et al."Regional Predictions of Air Pollution in Guangzhou: Preliminary Results and Multi-Model Cross-Validations".ATMOSPHERE 13.10(2022):1527.