Advancing air quality forecasting in Abu Dhabi, UAE using time series models
This research enhances air quality predictions in Abu Dhabi by employing Autoregressive Integrated Moving Average (ARIMA) models on comprehensive air quality data collected from 2015 to 2023. We collected hourly data on nitrogen dioxide (NO2), particulate matter (PM10), and fine particulate matter (...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2024-05-01
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| Seri Bilgileri: | Frontiers in Environmental Science |
| Konular: | |
| Online Erişim: | https://www.frontiersin.org/articles/10.3389/fenvs.2024.1393878/full |
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