2020
DOI: 10.26713/jamcnp.v7i3.1547
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Assessment of Particulate Matter (PM\(_{10}\)) using Chemistry Transport Modeling in Agadir City, Morocco

Abstract: According to the World Health Organization (WHO), the effects of outdoor and indoor air pollution result in approximately 7 million early deaths each year. In Morocco's case, the economic cost of air quality degradation is about 1.62 percent of GDP. Also, several studies reported the significant influence of local meteorological factors on the PM 10 daily concentration during the synoptic climate conditions and cyclonic circulation. In this sense, Agadir city is a coastal city, and its proximity to the desert … Show more

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Cited by 2 publications
(1 citation statement)
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“…Although many studies have attempted to predict particulate matter using various tools (Agarwal & Sahu, 2023;Folifack Signing et al, 2024;Gul et al, 2022;Khan et al, 2022;Masood & Ahmad, 2023;Rahman & Kabir, 2023;Verma et al, 2023), research specifically predicting future levels of 𝑃𝑀 10 in Morocco remains limited. Some studies limit their use to a single station where the models were developed, producing only one forecast for the next hour or the next day (Adnane et al, 2022;Bouakline et al, 2022), or they were only validated at a single station, which limits the generalization of their models to other areas Ajdour, Leghrib, Chaoufi, Fetmaoui, et al, 2020;Saidi et al, 2023).…”
Section: Introductionmentioning
confidence: 99%
“…Although many studies have attempted to predict particulate matter using various tools (Agarwal & Sahu, 2023;Folifack Signing et al, 2024;Gul et al, 2022;Khan et al, 2022;Masood & Ahmad, 2023;Rahman & Kabir, 2023;Verma et al, 2023), research specifically predicting future levels of 𝑃𝑀 10 in Morocco remains limited. Some studies limit their use to a single station where the models were developed, producing only one forecast for the next hour or the next day (Adnane et al, 2022;Bouakline et al, 2022), or they were only validated at a single station, which limits the generalization of their models to other areas Ajdour, Leghrib, Chaoufi, Fetmaoui, et al, 2020;Saidi et al, 2023).…”
Section: Introductionmentioning
confidence: 99%