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科研机构
地理科学与资源研究... [19]
内容类型
期刊论文 [19]
发表日期
2018 [19]
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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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Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model
期刊论文
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
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
Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing-Tianjin-Hebei Region, China
期刊论文
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:96/0
  |  
提交时间:2019/05/23
daily PM2
5concentrations
remote sensing
MODIS AOD
machine learning algorithm
spatial and temporal distribution
Improving PM2.5 Forecasting and Emission Estimation Based on the Bayesian Optimization Method and the Coupled FLEXPART-WRF Model
期刊论文
ATMOSPHERE, 2018, 卷号: 9, 期号: 11, 页码: 17
作者:
Guo, Lifeng
;
Chen, Baozhang
;
Zhang, Huifang
;
Xu, Guang
;
Lu, Lijiang
收藏
  |  
浏览/下载:131/0
  |  
提交时间:2019/05/23
PM2
5
FLEXPART-WRF
real-time concentrations
inventory
Bayesian optimization method
Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217, 页码: 573-586
作者:
Li, Lianfa
;
Zhang, Jiehao
;
Meng, Xia
;
Fang, Ying
;
Ge, Yong
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2019/05/23
PM2.5
MAIAC AOD
High spatiotemporal resolution
Temporal variation
AOD-PM2.5 associations
Spatial effects
Missingness
Machine learning
Quantifying the influence of natural and socioeconomic factors and their interactive impact on PM2.5 pollution in China
期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 241, 页码: 475-483
作者:
Yang, Dongyang
;
Wang, Xiaomin
;
Xu, Jianhua
;
Xu, Chengdong
;
Lu, Debin
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2019/05/23
PM2.5
Natural and socioeconomic factors
Interaction effect
GeogDetector
A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 636, 页码: 52-60
作者:
Chen, Gongbo
;
Li, Shanshan
;
Knibbs, Luke D.
;
Hamm, N. A. S.
;
Cao, Wei
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2019/05/23
PM2.5
Aerosol optical depth
Random forests
Machine learning
China
Quantitative Assessment of Relationship between Population Exposure to PM2.5 and Socio-Economic Factors at Multiple Spatial Scales over Mainland China
期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 卷号: 15, 期号: 9, 页码: 13
作者:
Yao, Ling
;
Huang, Changchun
;
Jing, Wenlong
;
Yue, Xiafang
;
Xu, Yuyue
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/05/23
spatial heterogeneity
population exposure
economic effects
quantitative analysis
Stable sulfur isotope ratios and chemical compositions of fine aerosols (PM2.5) in Beijing, China
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 633, 页码: 1156-1164
作者:
Wei, Lianfang
;
Yue, Siyao
;
Zhao, Wanyu
;
Yang, Wenyi
;
Zhang, Yingjie
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2019/05/23
PM2.5
Sulfate
Sulfur isotope
Seasonal variation
Sources
Association between multi-pollutant mixtures pollution and daily cardiovascular mortality: An exploration of exposure-response relationship
期刊论文
ATMOSPHERIC ENVIRONMENT, 2018, 卷号: 186, 页码: 136-143
作者:
Tong, Yuanren
;
Luo, Kai
;
Li, Runkui
;
Pei, Lu
;
Li, Ang
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/05/23
Air pollution
Bayesian kernel machine regression
Exposure-relationship
Cardiovascular mortality
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