A survey on air pollutant PM2.5 prediction using random forest model
Background: One of the most critical contributors to air pollution is particulate matter (PM2.5) that its acute or chronic exposure causes serious health effects to human. Accurate forecasting of PM2.5 concentration is essential for air pollution control and prevention of health complications. A s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Kerman University of Medical Sciences
2023-05-01
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| Series: | Environmental Health Engineering and Management |
| Subjects: | |
| Online Access: | http://ehemj.com/browse.php?a_id=1131&sid=1&slc_lang=en&ftxt=1 |