Spatial modeling for predicting and identifying levels of climate-related disease hazards in Iraq using (GIS) Kirkuk as a model
Particulate matter (PM2.5) concentrations are a serious concern for human health. In this study, a multinomial model was proposed to predict PM2.5 concentrations, and the relationship between PM2.5, PM10, and atmospheric parameters was studied. The study was conducted in northern Iraq, including Kir...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/33/e3sconf_gases2025_05002.pdf |
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