eprintid: 2491 rev_number: 11 eprint_status: archive userid: 2 dir: disk0/00/00/24/91 datestamp: 2022-06-23 23:30:04 lastmod: 2023-07-11 23:30:15 status_changed: 2022-06-23 23:30:04 type: article metadata_visibility: show creators_name: Violante Gavira, Amanda Enrriqueta creators_name: Sosa González, Wadi Elim creators_name: Pali-Casanova, Ramón creators_name: Yam Cervantes, Marcial Alfredo creators_name: Aguilar Vega, Manuel creators_name: Chacha Coto, Javier creators_name: Zavala Loría, José del Carmen creators_name: Dzul López, Luis Alonso creators_name: García Villena, Eduardo creators_id: amanda@ugto.mx creators_id: creators_id: ramon.pali@unini.edu.mx creators_id: marcial.yam@unini.edu.mx creators_id: creators_id: creators_id: jose.zavala@unini.edu.mx creators_id: luis.dzul@uneatlantico.es creators_id: eduardo.garcia@uneatlantico.es title: Application of the Gaussian Model for Monitoring Scenarios and Estimation of SO2 Atmospheric Emissions in the Salamanca Area, Bajío, Mexico ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: unic_produccion_cientifica full_text_status: public keywords: Gaussian model; dispersion; emissions; meteorological variables; coefficients abstract: Population and industrial growth in Mexico’s Bajío region demand greater electricity consumption. The production of electricity from fuel oil has severe implications on climate change and people’s health due to SO2 emissions. This study describes the simulation of eight different scenarios for SO2 pollutant dispersion. It takes into account distance, geoenvironmental parameters, wind, terrain roughness, and Pasquill–Gifford–Turner atmospheric stability and categories of dispersion based on technical information about SO2 concentration from stacks and from one of the atmospheric monitoring stations in Salamanca city. Its transverse character, its usefulness for modeling, and epidemiological, meteorological, and fluid dynamics studies, as suggested by the models approved by the Environmental Protection Agency (EPA), show a maximum average concentration of 399 µg/m3, at an average distance of 1800 m. The best result comparison in the scenarios was scenery 8. Maximum nocturnal dispersion was shown at a wind speed of 8.4 m/s, and an SO2 concentration of 280 µg/m3 for stack 4, an atypical situation due to the geography of the city. From the validation process, a relative error of 14.7 % was obtained, which indicates the reliability of the applied Gaussian model. Regarding the mathematical solution of the model, this represents a reliable and low-cost tool that can help improve air quality management, the location or relocation of atmospheric monitoring stations, and migration from the use of fossil fuels to environmentally friendly fuels. date: 2022-05 publication: Atmosphere volume: 13 number: 6 pagerange: 874 id_number: doi:10.3390/atmos13060874 refereed: TRUE issn: 2073-4433 official_url: http://doi.org/10.3390/atmos13060874 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional do Cuanza > Investigación > Producción Científica Abierto Inglés Population and industrial growth in Mexico’s Bajío region demand greater electricity consumption. The production of electricity from fuel oil has severe implications on climate change and people’s health due to SO2 emissions. This study describes the simulation of eight different scenarios for SO2 pollutant dispersion. It takes into account distance, geoenvironmental parameters, wind, terrain roughness, and Pasquill–Gifford–Turner atmospheric stability and categories of dispersion based on technical information about SO2 concentration from stacks and from one of the atmospheric monitoring stations in Salamanca city. Its transverse character, its usefulness for modeling, and epidemiological, meteorological, and fluid dynamics studies, as suggested by the models approved by the Environmental Protection Agency (EPA), show a maximum average concentration of 399 µg/m3, at an average distance of 1800 m. The best result comparison in the scenarios was scenery 8. Maximum nocturnal dispersion was shown at a wind speed of 8.4 m/s, and an SO2 concentration of 280 µg/m3 for stack 4, an atypical situation due to the geography of the city. From the validation process, a relative error of 14.7 % was obtained, which indicates the reliability of the applied Gaussian model. Regarding the mathematical solution of the model, this represents a reliable and low-cost tool that can help improve air quality management, the location or relocation of atmospheric monitoring stations, and migration from the use of fossil fuels to environmentally friendly fuels. metadata Violante Gavira, Amanda Enrriqueta; Sosa González, Wadi Elim; Pali-Casanova, Ramón; Yam Cervantes, Marcial Alfredo; Aguilar Vega, Manuel; Chacha Coto, Javier; Zavala Loría, José del Carmen; Dzul López, Luis Alonso y García Villena, Eduardo mail amanda@ugto.mx, SIN ESPECIFICAR, ramon.pali@unini.edu.mx, marcial.yam@unini.edu.mx, SIN ESPECIFICAR, SIN ESPECIFICAR, jose.zavala@unini.edu.mx, luis.dzul@uneatlantico.es, eduardo.garcia@uneatlantico.es (2022) Application of the Gaussian Model for Monitoring Scenarios and Estimation of SO2 Atmospheric Emissions in the Salamanca Area, Bajío, Mexico. Atmosphere, 13 (6). p. 874. ISSN 2073-4433 document_url: http://repositorio.unic.co.ao/id/eprint/2491/1/atmosphere-13-00874.pdf