A Multi-Temporal Analysis on the Dynamics of the Impact of Land Use and Land Cover on NO 2 and CO Emissions in Argentina for Sustainable Environmental Management

Viviana Fernández-Maldonado, Ana Laura Navas, María Paula Fabani, Germán Mazza and Rosa Rodríguez ()
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Viviana Fernández-Maldonado: Grupo Vinculado al PROBIEN (CONICET-UNCo), Instituto de Ingeniería Química, Facultad de Ingeniería, Universidad Nacional de San Juan, Av. Libertador San Martín (Oeste) 1109, San Juan J5400ARL, Argentina
Ana Laura Navas: Grupo Vinculado al PROBIEN (CONICET-UNCo), Instituto de Ingeniería Química, Facultad de Ingeniería, Universidad Nacional de San Juan, Av. Libertador San Martín (Oeste) 1109, San Juan J5400ARL, Argentina
María Paula Fabani: Grupo Vinculado al PROBIEN (CONICET-UNCo), Instituto de Ingeniería Química, Facultad de Ingeniería, Universidad Nacional de San Juan, Av. Libertador San Martín (Oeste) 1109, San Juan J5400ARL, Argentina
Germán Mazza: Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas, PROBIEN (CONICET-UNCo), Calle Buenos Aires, 1400, Neuquén Q8300IBX, Argentina
Rosa Rodríguez: Grupo Vinculado al PROBIEN (CONICET-UNCo), Instituto de Ingeniería Química, Facultad de Ingeniería, Universidad Nacional de San Juan, Av. Libertador San Martín (Oeste) 1109, San Juan J5400ARL, Argentina

Sustainability, 2024, vol. 16, issue 11, 1-22

Abstract: This study presents an analysis of NO 2 and CO emissions in Argentina, utilizing remote sensing data. This research aims to determine the spatiotemporal distribution of NO 2 and CO emissions from 2019 to 2021. It examines the influence of land use and cover on NO 2 and CO emissions using various climatic, anthropic, and natural indicators. The year with the highest CO and NO 2 concentration was 2020. NO 2 exhibited the highest concentrations in built-up urban areas and croplands, notably impacting the capital city and the northern region of Buenos Aires province. Also, CO concentration was influenced by anthropic variable distances to national route, mining extraction, power plants, airports, and urban index (UI). They were also influenced by climatic and natural variables (Palmer drought index, vapor pressure, maximum environment temperature, wind speed, DEM, humidity, and normalized difference vegetation index (NDVI)) for the different uses and land covers. NO 2 concentrations were influenced by anthropic (distance to airports, service stations, open dumpsites, power plants, and factories), climatic, and natural variables (Palmer drought index, vapor pressure, wind speed, and DEM) for the different uses and land cover. This research supports sustainable environmental management by guiding the development of effective emission mitigation strategies for improved community health and well-being.

Keywords: atmospheric pollution; remote sensing data; land uses and land cover; gases; environmental management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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