Remote Sensing and Geospatial Approach for Assessing the Impact of Automobiles on Air Quality, Case Study: Casablanca  

作　　者：Habiba El Alami El Kamouri Rachid Essamoud Mustapha Hakdaoui Habiba El Alami El Kamouri;Rachid Essamoud;Mustapha Hakdaoui(Geosciences and Applications Laboratory, Faculty of Sciences Ben Msik, The University Hassan II of Casablanca, Casablanca, Morocco;Applied Geology, Geomatics and Environment Laboratory, Faculty of Sciences Ben Msik, The University Hassan II of Casablanca, Casablanca, Morocco)

机构地区：[1]Geosciences and Applications Laboratory, Faculty of Sciences Ben Msik, The University Hassan II of Casablanca, Casablanca, Morocco [2]Applied Geology, Geomatics and Environment Laboratory, Faculty of Sciences Ben Msik, The University Hassan II of Casablanca, Casablanca, Morocco

出　　处：《Journal of Geoscience and Environment Protection》2024年第11期252-271,共20页地球科学和环境保护期刊（英文）

摘　　要：Urban air pollution is a major challenge facing rapidly growing cities in the Middle East and North Africa (MENA) region, with vehicle emissions being a significant contributor. This study aims to analyze the spatial and temporal patterns of air pollutants, particularly nitrogen dioxide (NO2), in Casablanca, Morocco, and investigate the relationship with urban development and transportation characteristics. By integrating satellite remote sensing data and Google Earth Engine (GEE) techniques, we provide a comprehensive assessment of air quality in Casablanca and demonstrate the value of using geospatial approaches for informing policymakers and urban planners. The results highlight seasonal variations in NO2 levels, the identification of pollution hotspots, and the quantification of the influence of urban features and traffic on air quality. We discuss the implications of these findings for targeted interventions to improve air quality and the potential for expanding the methodology to other pollutants and cities in the region.Urban air pollution is a major challenge facing rapidly growing cities in the Middle East and North Africa (MENA) region, with vehicle emissions being a significant contributor. This study aims to analyze the spatial and temporal patterns of air pollutants, particularly nitrogen dioxide (NO2), in Casablanca, Morocco, and investigate the relationship with urban development and transportation characteristics. By integrating satellite remote sensing data and Google Earth Engine (GEE) techniques, we provide a comprehensive assessment of air quality in Casablanca and demonstrate the value of using geospatial approaches for informing policymakers and urban planners. The results highlight seasonal variations in NO2 levels, the identification of pollution hotspots, and the quantification of the influence of urban features and traffic on air quality. We discuss the implications of these findings for targeted interventions to improve air quality and the potential for expanding the methodology to other pollutants and cities in the region.

关 键 词：Urban Air Pollution Air Quality Vehicle Emissions NO2 Satellite Imagery Google Earth Engine 

分 类 号：X51[环境科学与工程—环境工程]