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Improved wildfire smoke model identifies areas for public health intervention

Improved wildfire smoke model identifies areas for public health intervention
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Vermont , United-states , Philadelphia , Pennsylvania , New-york , Maine , Bennington-county , New-jersey , Canada , Canadian , Shiyan-zhang , Zhenlong-li

Enhanced Wildfire Smoke Model Pinpoints Public Health Aid Zones

Enhanced Wildfire Smoke Model Pinpoints Public Health Aid Zones
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Environmental News Network - Improved Wildfire Smoke Model Identifies Areas for Public Health Intervention

Environmental News Network - Improved Wildfire Smoke Model Identifies Areas for Public Health Intervention
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Fresher AIr: AI and mobility data may improve air pollution exposure models

Fresher AIr: AI and mobility data may improve air pollution exposure models
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United-states , New-york , Kai-zhang , Jiheng-miao , Shiyan-zhang , Matthew-varela , Manzhu-yu , University-of-oklahoma , College-of-earth , University-of-new-york , Science-research-institute , School-of-public-health

AI, Mobility Data Could Enhance Air Pollution Models

AI, Mobility Data Could Enhance Air Pollution Models
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Researchers improve air pollution exposure models using artificial intelligence and mobility data

Researchers improve air pollution exposure models using artificial intelligence and mobility data
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United-states , Americans , Manzhu-yu , Environmental-protection-agency , Penn-state-led , Penn-state , Environmental-science ,

Environmental News Network - Fresher Air: AI and Mobility Data May Improve Air Pollution Exposure Models

Environmental News Network - Fresher Air: AI and Mobility Data May Improve Air Pollution Exposure Models
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Scientists turn to deep learning to improve air quality forecasts


Highway traffic in the greater Los Angeles area
Image: Pixabay
Scientists turn to deep learning to improve air quality forecasts
Matthew Carroll
March 30, 2021
UNIVERSITY PARK, Pa. – Air pollution from the burning of fossil fuels impacts human health but predicting pollution levels at a given time and place remains challenging, according to a team of scientists who are turning to deep learning to improve air quality estimates. Results of the team’s study could be helpful for modelers examining how economic factors like industrial productivity and health factors like hospitalizations change with pollution levels.
“Air quality is one of the major issues within an urban area that affects people’s lives,” said Manzhu Yu, assistant professor of geography at Penn State. “Yet existing observations are not adequate to provide comprehensive information that may help vulnerable populations to plan ahead.”

Los-angeles , Manzhu-yu , Qian-liu , George-mason , லாஸ்-ஏஞ்சல்ஸ் , ஜார்ஜ்-கொத்தனார் ,

Environmental News Network - Scientists Turn to Deep Learning to Improve Air Quality Forecasts


Scientists Turn to Deep Learning to Improve Air Quality Forecasts
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Air pollution from the burning of fossil fuels impacts human health but predicting pollution levels at a given time and place remains challenging, according to a team of scientists who are turning to deep learning to improve air quality estimates. 
Air pollution from the burning of fossil fuels impacts human health but predicting pollution levels at a given time and place remains challenging, according to a team of scientists who are turning to deep learning to improve air quality estimates. Results of the team’s study could be helpful for modelers examining how economic factors like industrial productivity and health factors like hospitalizations change with pollution levels.

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