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Assessment of the Spatial and Seasonal Aerosols Distribution During 2017 Winter and Spring, in San Juan City, Argentina

机译:阿根廷圣胡安市2017年冬季和春季空间和季节性气溶胶分布的评估

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The aim of this work is to assess the horizontal distribution of aerosols during winter and spring 2017, in San Juan city, Argentina, and its relationship with the land use. The concentration of PM2.5 at ground level in 54 points of the city and the aerosol optical deep were measured. A supervised classification to obtain a land use map was performed. Statistical analysis was carried out considering 5 variables values in the 54 points, related to the particulate material (PM) emission: AOD, LST, NDVI, NDWI from satellite products and PM2.5 from field measurements. The data were analyzed considering the spatial, seasonal and meteorological variation, and the land use classes.The results indicate that 3 concentric rings can be considered in the studied area and 4 zones are distinguished: urban, peri-urban, periphery and industrial. The average PM2.5 concentrations was 18.7 μg/m3, and the season of maximum concentration was in winter. For AOD the average was 0.83, and the maximum registered during spring. PM2.5 concentrations presented a Pearson’s correlation coefficient with AOD higher than 0.65 in areas classified as peri-urban and industrial periphery. Regarding the meteorological variables, LST and wind showed the highest correlation with AOD and PM2.5. NDVI and NDWI present negative correlation with aerosol concentrations, so in areas with more vegetation and higher soil moisture which indicates that aeolian soil erosion is an important PM emission.
机译:这项工作的目的是评估冬季和2017年春季的水平分布,阿根廷圣胡安市及其与土地利用关系。测量了城市54点的地面PM2.5的浓度和气溶胶光学深。进行了获得土地使用地图的监督分类。考虑到54点的5个变量值,与颗粒材料(PM)发射(PM)排放有关:AOD,LST,NDVI,NDWI,来自卫星产品的AOD,LST,NDVI,来自场测量的54点的5个变量值。考虑到空间,季节性和气象变异和土地利用等级的数据分析了数据。结果表明,在学习区和4个区域可以考虑3个同心环:城市,围城,外围和工业。平均PM2.5浓度为18.7μg/ m 3 而且最大浓度的季节在冬季。对于AOD,平均为0.83,并且在春季期间注册的最大值。 PM2.5浓度呈现了Pearson的相关系数,AOD在归类为围城和工业周边的地区高于0.65。关于气象变量,LST和Wind呈现与AOD和PM2.5的最高相关性。 NDVI和NDWI存在与气溶胶浓度的负相关,因此在具有更多植被和更高的土壤水分的区域,表明风土侵蚀是一个重要的PM排放。

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