Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cong-Lan Cheng"'
Publikováno v:
Advances in Atmospheric Sciences. 40:937-951
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdac74d0dedafe51c223db980601dfbe
https://doi.org/10.1007/s00376-022-2056-8
https://doi.org/10.1007/s00376-022-2056-8
Publikováno v:
ICNC (2)
Based on the consecutive high temporal resolution data observed at the special automatic weather stations ROSA on Beijing airport highway during 2006-2007, the modeling of atmospheric visibility classification forecast model with the nonlinear Suppor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acddecc8a1de0c477716c01f639530cd
https://doi.org/10.1109/icnc.2009.418
https://doi.org/10.1109/icnc.2009.418
Autor:
Jing-Li, Wang, Yuan-Hang, Zhang, Min, Shao, Xu-Lin, Liu, Li-Min, Zeng, Cong-Lan, Cheng, Xiao-Feng, Xu
Publikováno v:
Journal of environmental sciences (China). 18(3)
The pollution of particulate matter less than 2.5 microm (PM2.5) is a serious environmental problem in Beijing. The annual average concentration of PM2.5 in 2001 from seasonal monitor results was more than 6 times that of the U.S. national ambient ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::85202baeeaf526a5a04ac95e53d3a803
https://pubmed.ncbi.nlm.nih.gov/17294643
https://pubmed.ncbi.nlm.nih.gov/17294643
Autor:
Jing-Li, Wang, Yuan-Hang, Zhang, Min, Shao, Xu-Lin, Liu, Li-Min, Zeng, Cong-Lan, Cheng, Xiao-Feng, Xu
Publikováno v:
Journal of environmental sciences (China). 16(5)
The recent year's monitor results of Beijing indicated that the pollution level of fine particles PM2.5 showed an increasing trend. To understand pollution characteristics of PM2.5 and its relationship with the meteorological conditions in Beijing, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::431d6ee4fee7f2ce72edb9c49d25baf3
https://pubmed.ncbi.nlm.nih.gov/15559829
https://pubmed.ncbi.nlm.nih.gov/15559829
On Modeling of Atmospheric Visibility Classification Forecast with Nonlinear Support Vector Machine.
Publikováno v:
2009 Fifth International Conference on Natural Computation; 2009, p240-244, 5p
Autor:
Jing-li Wang1, Yuan-hang Zhang2, Shao, Min2 mshao@pku.edu.cn, Liu, Xu-lin3, Li-min Zeng2, Cong-lan Cheng1, Xiao-feng Xu1
Publikováno v:
Journal of Environmental Sciences (IOS Press). May2006, Vol. 18 Issue 3, p475-481. 7p. 9 Charts, 11 Graphs.