Print Email Facebook Twitter Data Assimilation as a Tool to Improve Chemical Transport Models Performance in Developing Countries Title Data Assimilation as a Tool to Improve Chemical Transport Models Performance in Developing Countries Author Lopez Restrepo, S. (TU Delft Mathematical Physics; Universidad EAFIT; SimpleSpace) Yarce Botero, A. (TU Delft Mathematical Physics; Universidad EAFIT; SimpleSpace) Quintero Montoya, O.L. (TU Delft Mathematical Physics) Pinel Pelaez, N. (TU Delft Mathematical Physics; Universidad EAFIT) Hinestroza Ramirez, J.E. (Universidad EAFIT) Nino-Ruiz, Elias David (Universidad del Norte) Anderson Flórez, Jimmy (Centro Tecnologico Aeroespacial para la Defensa CETAD) Rendón, Angela Maíra (Universidad de Antioquia) Alvarez-Laínez, Monica Lucia (Universidad EAFIT) Heemink, A.W. (TU Delft Mathematical Physics) Contributor Khan, Syed Abdul Rehman (editor) Date 2021 Abstract Particulate matter (PM) is one of the most problematic pollutants in urban air. The effects of PM on human health, associated especially with PM of ≤2.5μm in diameter, include asthma, lung cancer and cardiovascular disease. Consequently, major urban centers commonly monitor PM2.5 as part of their air quality management strategies. The Chemical Transport models allow for a permanent monitoring and prediction of pollutant behavior for all the regions of interest, different to the sensor network where the concentration is just available in specific points. In this chapter a data assimilation system for the LOTOS-EUROS chemical transport model has been implemented to improve the simulation and forecast of Particulate Matter in a densely populated urban valley of the tropical Andes. The Aburrá Valley in Colombia was used as a case study, given data availability and current environmental issues related to population expansion. Using different experiments and observations sources, we shown how the Data Assimilation can improve the model representation of pollutants. Subject chemical transport modelair qualitydata assimilationLOTOS-EUROSlow-cost networksOA-Fund TU Delft To reference this document use: http://resolver.tudelft.nl/uuid:b7c85024-01c9-4af8-8df4-6e0109b729ed DOI https://doi.org/10.5772/intechopen.97503 Publisher IntechOpen ISBN 978-1-83968-786-0 Source Environmental Sustainability: Preparing for Tomorrow Part of collection Institutional Repository Document type book chapter Rights © 2021 S. Lopez Restrepo, A. Yarce Botero, O.L. Quintero Montoya, N. Pinel Pelaez, J.E. Hinestroza Ramirez, Elias David Nino-Ruiz, Jimmy Anderson Flórez, Angela Maíra Rendón, Monica Lucia Alvarez-Laínez, A.W. Heemink, More Authors Files PDF 76649.pdf 4.83 MB Close viewer /islandora/object/uuid:b7c85024-01c9-4af8-8df4-6e0109b729ed/datastream/OBJ/view