Displaying 61 - 70 of 175
Operations
Lim, Jun-Sik; Vergne, Timothée; Pak, Son-Il; Kim, Eutteum. 2021. Modelling the spatial distribution of ASF-positive wild boar carcasses in South Korea using 2019–2020 national surveillance data. [Animals] . 11(5): 1208 DOI: https://doi.org/10.3390/ani11051208
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Liu, Jianjun. 2021. Mapping high resolution national daily NO2 exposure across mainland China using an ensemble algorithm. [Environmental Pollution] . 279: 116932 DOI: https://doi.org/10.1016/j.envpol.2021.116932
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Liu, Jun; Yin, Hao; Tang, Xiao; Zhu, Tong; Zhang, Qiang; Liu, Zhu; Tang, XiaoLong; Yi, HongHong. 2021. Transition in air pollution, disease burden and health cost in China: A comparative study of long-term and short-term exposure. [Environmental Pollution] . 277: 116770 DOI: https://doi.org/10.1016/j.envpol.2021.116770
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Liu, Xiaoyan; Yang, Saini; Ye, Tao; An, Rui; Chen, Cuizhen. 2021. A new approach to estimating flood-affected populations by combining mobility patterns with multi-source data: A case study of Wuhan, China. [International Journal of Disaster Risk Reduction] . 55: 102106 DOI: https://doi.org/10.1016/j.ijdrr.2021.102106
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Liu, Ying; Oiamo, Tor; Rainham, Daniel; Chen, Hong; Hatzopoulou, Marianne; Brook, Jeffrey R.; Davies, Hugh; Goudreau, Sophie; Smargiassi, Audrey. 2021. Integrating random forests and propagation models for high-resolution noise mapping. [Environmental Research] . 195: 110905 DOI: https://doi.org/10.1016/j.envres.2021.110905
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Liu, Zehui; Zhou, Mi; Chen, Youfan; Chen, Dan; Pan, Yuepeng; Song, Tao; Ji, Dongsheng; Chen, Qi; Zhang. Lin. 2021. The nonlinear response of fine particulate matter pollution to ammonia emission reductions in North China. [Environmental Research Letters] . 16(3): 034014 DOI: https://doi.org/10.1088/1748-9326/abdf86
Related URL(s): http://iopscience.iop.org/article/10.1088/1748-9326/abdf86
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Li, Yong; Liao, Qin; Zhao, Xiuge; Tao, Yan; Bai, Yun; Peng, Lu. 2021. Premature mortality attributable to PM2.5 pollution in China during 2008–2016: Underlying causes and responses to emission reductions. [Chemosphere] . 263: 127925 DOI: https://doi.org/10.1016/j.chemosphere.2020.127925
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Luo, Zhenhua; Wang, Xiaoyi; Yang, Shaofa; Cheng, Xinlan; Liu, Yang; Hu, Junhua. 2021. Combining the responses of habitat suitability and connectivity to climate change for an East Asian endemic frog. [Frontiers in Zoology] . 18(1): 14 DOI: https://doi.org/10.1186/s12983-021-00398-w
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Lu, Xingcheng; Yuan, Dehao; Chen, Yiang; Fung, Jimmy C. H. 2021. Impacts of urbanization and long-term meteorological variations on global PM2.5 and its associated health burden. [Environmental Pollution] . 270: 116003 DOI: https://doi.org/10.1016/j.envpol.2020.116003
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Maino, James L.; Schouten, Rafael; Umina, Paul. 2021. Predicting the global invasion of Drosophila suzukii to improve Australian biosecurity preparedness. [Journal of Applied Ecology] . 58(4): 789-800 DOI: https://doi.org/10.1111/1365-2664.13812
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export

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