“Forecasting particulate matter concentrations by combining statistical models”
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Published:2024-03
Issue:3
Volume:36
Page:103090
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ISSN:1018-3647
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Container-title:Journal of King Saud University - Science
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language:en
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Short-container-title:Journal of King Saud University - Science
Author:
Zateroglu Mine Tulin
Subject
Multidisciplinary
Reference39 articles.
1. Influence of meteorology on PM10 trends and variability in Switzerland from 1991–2008;Barmpadimos;Atmos. Chem. Phys.,2011 2. Multiannual assessment of the desert dust impact on air quality in Italy combining PM10 data with physics-based and geostatistical models;Barnaba;Environ. Int.,2022 3. Forecasting PM10 levels using ANN and MLR: A case study for Sakarya City;Ceylan;Global NEST J.,2018 4. The influence of atmospheric blocking on regional PM10 aerosol transport to South Korea during February-March of 2019;Cho;Atmos. Environ.,2022 5. Cipoli, Y. A., Alves, C., Rapuano, M., Evtyugina, M., Rienda, I.C., Kováts, N., Vicente, A., Giardi, F., Furst, L., Nunes, T., Feliciano, M., 2023. Nighttime–daytime PM10 source apportionment and toxicity in a remoteness inland city of the Iberian Peninsula. Atmospheric Environment, 303, 119771, ISSN 1352-2310.
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