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Towards space-time modelling of PM
2.5
inhalation volume with ST-exposure
Jun Song
*
*
Corresponding author for this work
Academy of Geography, Sociology and International Studies
Research output
:
Contribution to journal
›
Journal article
›
peer-review
10
Citations (Scopus)
Overview
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Dive into the research topics of 'Towards space-time modelling of PM
2.5
inhalation volume with ST-exposure'. Together they form a unique fingerprint.
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Keyphrases
Space-time Model
100%
Particulate Matter 2.5 (PM2.5)
100%
Inhalation Volume
100%
Pixel-wise
40%
Pollution
20%
High-resolution
20%
Health Impact
20%
City Scale
20%
Effective Method
20%
PM2.5 Exposure
20%
Modeling Framework
20%
Air Quality
20%
Public Health Management
20%
Volume-based
20%
Population Distribution
20%
People Health
20%
Reliable Estimation
20%
Time Coverage
20%
Space-time Resolution
20%
SMAPE
20%
Air Quality Sensors
20%
Traditional Census
20%
End Space
20%
Census-based
20%
Computer Science
Effective Method
100%
Modeling Framework
100%
Time Resolution
100%
Traditional Census
100%
Medicine and Dentistry
Particular Matter 2.5
100%
Public Health
16%
Health Care Management
16%
Population Distribution
16%