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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... [88]
采集方式
OAI收割 [88]
内容类型
期刊论文 [86]
学位论文 [2]
发表日期
2018 [88]
学科主题
地图学与地理信息系统 [1]
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浏览/检索结果:
共88条,第1-10条
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发表日期:2018
专题:地理科学与资源研究所
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Population Exposure to Ambient PM2.5 at the Subdistrict Level in China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 卷号: 15, 期号: 12, 页码: 13
作者:
Long, Ying
;
Wang, Jianghao
;
Wu, Kang
;
Zhang, Junjie
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/05/23
PM2
5
population exposure
MODIS (Moderate Resolution Imaging Spectroradiometer) AOD
China
Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model
期刊论文
OAI收割
ENVIRONMENTAL POLLUTION, 2018, 卷号: 243, 页码: 501-509
作者:
Li, Runkui
;
Ma, Tianxiao
;
Xu, Qun
;
Song, Xianfeng
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/05/23
Spatial pattern
Fine particulate matter
Land use regression model
MAIAC AOD
Beijing
Spatial variations of PM2.5 in Chinese cities for the joint impacts of human activities and natural conditions: A global and local regression perspective
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2018, 卷号: 203, 页码: 143-152
作者:
Wang, Shaojian
;
Liu, Xiaoping
;
Yang, Xue
;
Zou, Bin
;
Wang, Jieyu
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/05/23
PM2.5
Human activities
Topographic and meteorological conditions
Geographically weighted regression
Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model
期刊论文
OAI收割
ENVIRONMENTAL POLLUTION, 2018, 卷号: 243, 页码: 501-509
作者:
Li, Runkui
;
Ma, Tianxiao
;
Xu, Qun
;
Song, Xianfeng
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/05/23
Spatial pattern
Fine particulate matter
Land use regression model
MAIAC AOD
Beijing
Inhalation exposure and potential health risk estimation of lanthanides elements in PM2.5 associated with rare earth mining areas: a case of Baotou city, northern China
期刊论文
OAI收割
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2018, 卷号: 40, 期号: 6, 页码: 2795-2805
作者:
Li, Kexin
;
Liang, Tao
;
Wang, Lingqing
;
Tian, Shuhan
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/05/23
PM2.5
Mining activity
Rare earth elements
Inhalation exposure
Inhalation exposure and potential health risk estimation of lanthanides elements in PM2.5 associated with rare earth mining areas: a case of Baotou city, northern China
期刊论文
OAI收割
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2018, 卷号: 40, 期号: 6, 页码: 2795-2805
作者:
Li, Kexin
;
Liang, Tao
;
Wang, Lingqing
;
Tian, Shuhan
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/05/23
PM2.5
Mining activity
Rare earth elements
Inhalation exposure
Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing-Tianjin-Hebei Region, China
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 12, 页码: 17
作者:
Li, Lijuan
;
Chen, Baozhang
;
Zhang, Yanhu
;
Zhao, Youzheng
;
Xian, Yue
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/05/23
daily PM2
5concentrations
remote sensing
MODIS AOD
machine learning algorithm
spatial and temporal distribution
Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model
期刊论文
OAI收割
ENVIRONMENTAL POLLUTION, 2018, 卷号: 243, 页码: 501-509
作者:
Li, Runkui
;
Ma, Tianxiao
;
Xu, Qun
;
Song, Xianfeng
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/05/23
Spatial pattern
Fine particulate matter
Land use regression model
MAIAC AOD
Beijing
Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing-Tianjin-Hebei Region, China
期刊论文
OAI收割
REMOTE SENSING, 2018, 卷号: 10, 期号: 12, 页码: 17
作者:
Li, Lijuan
;
Chen, Baozhang
;
Zhang, Yanhu
;
Zhao, Youzheng
;
Xian, Yue
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/05/23
daily PM2
5concentrations
remote sensing
MODIS AOD
machine learning algorithm
spatial and temporal distribution
Spatial variations of PM2.5 in Chinese cities for the joint impacts of human activities and natural conditions: A global and local regression perspective
期刊论文
OAI收割
JOURNAL OF CLEANER PRODUCTION, 2018, 卷号: 203, 页码: 143-152
作者:
Wang, Shaojian
;
Liu, Xiaoping
;
Yang, Xue
;
Zou, Bin
;
Wang, Jieyu
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/05/23
PM2.5
Human activities
Topographic and meteorological conditions
Geographically weighted regression