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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [4]
遥感与数字地球研究所 [1]
采集方式
OAI收割 [5]
内容类型
期刊论文 [4]
SCI/SSCI论文 [1]
发表日期
2017 [3]
2016 [1]
2015 [1]
学科主题
Materials ... [1]
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Probabilistic assessment of high concentrations of particulate matter (PM10) in Beijing, China
期刊论文
OAI收割
ATMOSPHERIC POLLUTION RESEARCH, 2017, 卷号: 8, 期号: 6, 页码: 1143-1150
作者:
Zhang, Zhi-Hong
;
Hu, Mao-Gui
;
Ren, Jing
;
Zhang, Zi-Yin
;
Christakos, George
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/05/30
PM10
Probability distribution of high
concentrations
Road density
Maximum entropy
Public health
Probabilistic assessment of high concentrations of particulate matter (PM10) in Beijing, China
期刊论文
OAI收割
ATMOSPHERIC POLLUTION RESEARCH, 2017, 卷号: 8, 期号: 6, 页码: 1143-1150
作者:
Zhang, Zhi-Hong
;
Hu, Mao-Gui
;
Ren, Jing
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/05/30
PM10
Probability distribution of high
concentrations
Road density
Maximum entropy
Public health
Probabilistic assessment of high concentrations of particulate matter (PM10) in Beijing, China
期刊论文
OAI收割
ATMOSPHERIC POLLUTION RESEARCH, 2017, 卷号: 8, 期号: 6, 页码: 1143-1150
作者:
Zhang, Zhi-Hong
;
Hu, Mao-Gui
;
Ren, Jing
;
Zhang, Zi-Yin
;
Christakos, George
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2019/05/30
PM10
Probability distribution of high
concentrations
Road density
Maximum entropy
Public health
Interfacial characterization of an oxide fiber-reinforced silica matrix composite containing a single layer pyrocarbon interphase
期刊论文
OAI收割
Ceramics International, 2016, 卷号: 42, 期号: 5, 页码: 6504-6509
作者:
Gao, Yingqian
;
Zhang, Lifu
;
Wang, Xiangwei
;
Chen, Jian
;
Cheng, Haifeng
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2017/04/24
AREA NORTHERN SPAIN
NEURAL-NETWORKS
PM10 CONCENTRATIONS
LOCAL SCALE
MODELS
REGRESSION
OZONE
DIMENSIONALITY
REDUCTION
POLLUTION
Comparison of Hourly PM2.5 Observations Between Urban and Suburban Areas in Beijing, China
SCI/SSCI论文
OAI收割
2015
作者:
Yao L.
;
Lu, N.
;
Yue, X. F.
;
Du, J.
;
Yang, C. D.
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2017/11/09
PM2.5 concentration
diurnal variations
spatial variations
day-of-week
pattern
air quality
particulate air-pollution
particle concentrations
chemical-compositions
mass concentrations
seasonal-variations
aerosol
matter
pm10
variability
visibility