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Spatiotemporal analysis of the impact of urban landscape forms on PM2.5 in China from 2001 to 2020
S Zhu, J Tang, X Zhou, P Li, Z Liu, C Zhang… - … Journal of Digital …, 2023 - Taylor & Francis
Urban landscape forms can be effective in reducing increasing PM2. 5 concentrations due to
urbanization in China, making it crucially important to accurately quantify the spatiotemporal …
urbanization in China, making it crucially important to accurately quantify the spatiotemporal …
Revisiting the importance of temperature, weather and air pollution variables in heat-mortality relationships with machine learning
Extreme heat events have significant health impacts that need to be adequately quantified in
the context of climate change. Traditionally, heat-health association methods have relied on …
the context of climate change. Traditionally, heat-health association methods have relied on …
Statistical and machine learning models for predicting fire and other emergency events in the city of edmonton
Emergency events in a city cause considerable economic loss to individuals, their families,
and the community. Accurate and timely prediction of events can help the emergency fire …
and the community. Accurate and timely prediction of events can help the emergency fire …
Wildfire Prediction Using Machine Learning
JM Chauhan - 2023 - norma.ncirl.ie
This report discusses wildfire research methods, data collection, and analysis. This study
covers ecological, meteorological, and economic aspects of wildfire studies. It helps …
covers ecological, meteorological, and economic aspects of wildfire studies. It helps …