{"id":2587,"date":"2024-05-06T16:47:13","date_gmt":"2024-05-06T14:47:13","guid":{"rendered":"https:\/\/urbag.eu\/?p=2587"},"modified":"2024-05-06T16:47:13","modified_gmt":"2024-05-06T14:47:13","slug":"new-publication-in-journal-computational-science","status":"publish","type":"post","link":"https:\/\/webs.uab.cat\/atmosphere\/2024\/05\/06\/new-publication-in-journal-computational-science\/","title":{"rendered":"New publication in “Journal of Computational Science”"},"content":{"rendered":"

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See full article\/ Veure l’article complet<\/strong><\/a><\/p>\n

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English:<\/strong><\/p>\n

Improvement of the air quality in highly polluted cities is a challenge for today\u2019s society. Many of the strategies that have been proposed for this purpose promote the creation of green infrastructures. The Weather Research and Forecasting model coupled with chemistry (WRF-Chem) is used to analyze the behavior of the most common pollutants and how they are dispersed as a result of different meteorological conditions. To also consider the impact of including green infrastructures on urban morphology, the BEP\/BEM (Building Effect Parameterization\/Building Energy Model) multi-layer urban scheme is also included in the system. Using the city of Barcelona as a case study, this paper confirms that the modeling methodology used up to now needs to be reviewed for the design of green cities. Certain limitations of the WRF-Chem+BEP\/BEM coupled model when applied in urban resolution are discussed, as well as the reasons for such limitations, being the main contribution of this paper to show that an alternative paradigm such as Machine Learning techniques should be considered to address this challenge.<\/p>\n

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Catal\u00e0:<\/strong><\/p>\n

Millorar la qualitat de l’aire en ciutats altament contaminades \u00e9s un repte per a la societat actual. Moltes de les estrat\u00e8gies que s’han proposat per a aquest prop\u00f2sit promouen la creaci\u00f3 d’infraestructures verdes. El model “Weather Research and Forecasting” acoplat amb qu\u00edmica (WRF-Chem) s’utilitza per analitzar el comportament dels contaminants m\u00e9s comuns i la seva dispersi\u00f3 com a resultat de diferents condicions meteorol\u00f2giques. Per a considerar tamb\u00e9 l’impacte de la inclusi\u00f3 d’infraestructures verdes en la morfologia urbana, s’inclou tamb\u00e9 l’esquema urb\u00e0 multicapa “Building Effect Parameterization\/ Building Energy Model” (BEP\/BEM) en el sistema. Utilitzant la ciutat de Barcelona com a cas d’estudi, aquest article confirma que la metodologia de modelitzaci\u00f3 utilitzada fins ara necessita ser revisada per al disseny de ciutats verdes. Es discuteixen certes limitacions del model acoblat WRF-Chem+BEP\/BEM quan s’aplica en resoluci\u00f3 urbana, aix\u00ed com les raons d’aquestes limitacions, sent la principal contribuci\u00f3 d’aquest article mostrar que s’hauria de considerar un paradigma alternatiu com “Machine Learning” per abordar aquest repte.<\/p>\n

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Figure: Execution scheme: WRF (+BEP\/BEM) depicted by blue arrows, and WRF-Chem (+BEP\/BEM) represented by orange arrows.<\/p>\n","protected":false},"excerpt":{"rendered":"

Title: Modeling air quality at urban scale in the city of Barcelona: A matter of green resolution\/
\nThis paper presents the behavior of the most common pollutants and how they are dispersed as a result of different meteorological conditions in the city of Barcelona, as well as the impact of green infrastructures on urban morphology.<\/p>\n","protected":false},"author":3153,"featured_media":2592,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[144,56,315,189,264,299,316,169],"class_list":["post-2587","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general","tag-air-quality","tag-bepbem","tag-chemistry","tag-green-infrastructures","tag-nature-based-solutions","tag-nbs","tag-polluted-cities","tag-wrf-chem"],"_links":{"self":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/posts\/2587","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/users\/3153"}],"replies":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/comments?post=2587"}],"version-history":[{"count":0,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/posts\/2587\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/media\/2592"}],"wp:attachment":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/media?parent=2587"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/categories?post=2587"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/tags?post=2587"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}