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Population dynamics modify urban residents’ exposure to extreme temperatures across the United States
- Source :
- Science Advances
- Publication Year :
- 2019
- Publisher :
- American Association for the Advancement of Science, 2019.
-
Abstract
- Daily commute substantially increases urban residents’ exposure to heat waves and slightly alleviates exposure to cold waves.<br />Exposure to extreme temperatures is one primary cause of weather-related human mortality and morbidity. Global climate change raises the concern of public health under future extreme events, yet spatiotemporal population dynamics have been long overlooked in health risk assessments. Here, we show that the diurnal intra-urban movement alters residents’ exposure to extreme temperatures during cold and heat waves. To do so, we incorporate weather simulations with commute-adjusted population profiles over 16 major U.S. metropolitan areas. Urban residents’ exposure to heat waves is intensified by 1.9° ± 0.7°C (mean ± SD among cities), and their exposure to cold waves is attenuated by 0.6° ± 0.8°C. The higher than expected exposure to heat waves significantly correlates with the spatial temperature variability and requires serious attention. The essential role of population dynamics should be emphasized in temperature-related climate adaptation strategies for effective and successful interventions.
- Subjects :
- medicine.medical_specialty
Atmospheric Science
010504 meteorology & atmospheric sciences
Urban Population
Acclimatization
Climate Change
Population
Environmental Studies
Population Dynamics
010501 environmental sciences
01 natural sciences
Risk Assessment
Extreme Cold Weather
Environmental health
medicine
Humans
Computer Simulation
Health risk
Cities
education
Extreme Hot Weather
Research Articles
0105 earth and related environmental sciences
education.field_of_study
Multidisciplinary
Public health
Global warming
Urban Health
Cold wave
SciAdv r-articles
Heat wave
Adaptation strategies
Metropolitan area
United States
Geography
Research Article
Forecasting
Subjects
Details
- Language :
- English
- ISSN :
- 23752548
- Volume :
- 5
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- Science Advances
- Accession number :
- edsair.doi.dedup.....71688d14d9c9fed88c9d0a2a7b23d5c8