Development of Land Use Regression Model for Seasonal Variation of Nitrogen Dioxide (NO2) in Lahore, Pakistan
نویسندگان
چکیده
Ambient air pollution and its exposure has been a worldwide issue can increase the possibility of health risks especially in urban areas developing countries having mixture different sources. With population, industrial development economic prosperity, is one biggest concerns Pakistan after occurrence recent smog episodes. The purpose this study was to develop land use regression (LUR) model provide better understanding depict spatial patterns pollutants within city. Land developed for Lahore city, using average seasonal concentration NO2 considering 22 potential predictor variables including road network, classification local specific variable. Adjusted explained variance LUR models highest post-monsoon (77%), followed by monsoon (71%) lowest pre-monsoon (70%). This first conducted explore applicability hence will offer application other cities. results would also help promoting epidemiological research future.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2021
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su13094933