机构

• 地理科学与资源研究... [21]
• 地球环境研究所 [7]
• 合肥物质科学研究院 [7]
• 寒区旱区环境与工程研... [3]
• 青藏高原研究所 [2]
• 南海海洋研究所 [1]
• 更多

采集方式

• OAI收割 [41]
• iSwitch采集 [3]

内容类型

• 期刊论文 [44]

发表日期

• 2018 [44]

学科主题

• Environmen... [1]

筛选

浏览/检索结果: 共44条，第1-10条 帮助 限定条件 发表日期：2018     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 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：26/0  |  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：35/0  |  提交时间：2019/05/23 Spatial pattern  Fine particulate matter  Land use regression model  MAIAC AOD  Beijing   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：18/0  |  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：8/0  |  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   |  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   Spatiotemporal patterns of PM10 concentrations over China during 2005-2016: A satellite-based estimation using the random forests approach 期刊论文  OAI收割 ENVIRONMENTAL POLLUTION, 2018, 卷号: 242, 页码: 605-613 作者:  Chen, Gongbo;  Wang, Yichao;  Li, Shanshan;  Cao, Wei;  Ren, Hongyan   |  收藏  |  浏览/下载：41/0  |  提交时间：2019/05/23 PM10  AOD  Random forests  China   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  OAI收割 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   Aerosol vertical profile retrieved from ground-based MAX-DOAS observation and characteristic distribution during wintertime in Shanghai, China 期刊论文  OAI收割 ATMOSPHERIC ENVIRONMENT, 2018, 卷号: 192, 页码: 193-205 作者:  Zhang, Jiawei;  Wang, Shanshan;  Guo, Yanlin;  Zhang, Ruifeng;  Qin, Xiaofei   |  收藏  |  浏览/下载：37/0  |  提交时间：2019/12/25 Aerosol extinction coefficient  Vertical profile  Atmospheric remote sensing  DOAS  O-4 absorption   Aerosol retrieval algorithm based on adaptive land-atmospheric decoupling for polarized remote sensing over land surfaces 期刊论文  OAI收割 JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2018, 卷号: 219, 页码: 74-84 作者:  Wang, Han;  Sun, Xiaobing   |  收藏  |  浏览/下载：37/0  |  提交时间：2019/12/25 Aerosol  Multi-spectral  Polarization  Land-atmospheric decoupling  PARASOL