Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sheng-Gao Cheng"'
Publikováno v:
Plants, Vol 10, Iss 6, p 1099 (2021)
Based on the characteristics of remote sensing images of mine vegetation, this research studied the application of deep belief network model in mine vegetation identification. Through vegetation identification and classification, the ecological envir
Externí odkaz:
https://doaj.org/article/98dcf38ea1d54ac6b594eb6ff0468ea4
Publikováno v:
Plants
Volume 10
Issue 6
Plants, Vol 10, Iss 1099, p 1099 (2021)
Volume 10
Issue 6
Plants, Vol 10, Iss 1099, p 1099 (2021)
Based on the characteristics of remote sensing images of mine vegetation, this research studied the application of deep belief network model in mine vegetation identification. Through vegetation identification and classification, the ecological envir
Autor:
Cong-Cong, Yu, Wei-Tuo, Zhao, Xiao-Feng, Gao, Sheng-Gao, Cheng, Ting, Huang, Yi-Meng, Yin, Zhen-Li, Zhao
Publikováno v:
Huan jing ke xue= Huanjing kexue. 38(3)
To investigate the distribution characteristics and the human health risks of heavy metals in surface water samples, 30 samples were collected around electroplating factories of Machong, Shatian, Humen, Changan and Dalingshan towns in Dongguan city,
Publikováno v:
Huan jing ke xue= Huanjing kexue. 39(2)
This study selected Guiyu Town, Guangdong Province as the research area, the content of 15 kinds of metals (As, Be, Cd, Co, Cr, Cu, Hg, Li, Mn, Ni, Sb, Sn, Pb, V, and Zn) in the soil was determined, and the content of heavy metals (As, Cd, Cr, Cu, Hg
Publikováno v:
Huan jing ke xue= Huanjing kexue. 39(1)
PM
Publikováno v:
Huan jing ke xue= Huanjing kexue. 39(1)
In order to investigate the distribution characteristics and the human health risks of 12 metals in drinking water sources from the Luhun Reservoir, Al, As, Cd, Cr, Cu, Fe, Hg, Mn, Mo, Ni, Pb, and Zn concentrations in 46 water samples collected from
Publikováno v:
Sustainability, Vol 7, Iss 10, Pp 14385-14407 (2015)
Sustainability
Volume 7
Issue 10
Pages 14385-14407
Sustainability
Volume 7
Issue 10
Pages 14385-14407
Spatial-temporal hotspot pattern analysis of environmental pollution incidents provides an indispensable source of information for the further development of incident prevention measures. In this study, the spatial-temporal patterns of environmental
Publikováno v:
ChemInform. 36
From the roots of Ligularia muliensis, a novel bieremophilanolide and a new eremophilanolide have been isolated and their structures were elucidated by spectroscopic techniques, including HRMS, IR, UV, 1D-NMR, 2D-NMR, and CD spectra.
Publikováno v:
Sustainability (2071-1050); 2015, Vol. 7 Issue 10, p14385-14407, 23p