利用高时空数据改进对 PM2.5 的人口暴露和健康影响的评估

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2024-08-09 DOI:10.1080/15481603.2024.2388921

Xia Zhao, Yuyu Zhou, Xi Li, Tao Zhang, Yueying Wang, Zhengyuan Zhu, Kai Zhang, Deren Li

引用次数: 0

摘要

暴露于环境细颗粒物（PM2.5）对全球健康构成了重大挑战。然而，流行病学研究和风险评估的一个主要障碍在于缺乏高...

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Improving assessment of population exposure and health impacts to PM2.5 with high spatial and temporal data

Exposure to ambient fine particulate matter (PM2.5) poses a significant global health challenge. However, a major obstacle for epidemiological studies and risk assessment lies in the absence of hig...

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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.