In Low- and Middle-Income Countries, rapid urbanization has led to poorer air quality, yet pollution monitoring networks are often sparse or non-existent. Few previous studies have sought to understand the unique predictors of air pollution exposure in Indian urban environments. Our study monitored and modeled nitrogen dioxide (NO2) in Mysore, a rapidly urbanizing city in India. NO2 sampling was conducted in four seasonal campaigns (each lasting 2 weeks) in 2016-2017, at 150 sites throughout Mysore. Seasonal spatial interpolation of NO2 levels was conducted using 2 distinct models, the first utilizing a land use regression (LUR) approach and the second using universal kriging methods. Model performance was determined using adjusted R-2, and...
Health impacts of air pollution are widely recognised where exposure to NO2 increases the risk of re...
This research study examines the spatial pattern of NO2 concentrations at the district level in Utta...
Very few land use regression (LUR) models have been developed for megacities in low- and middle-inco...
Urban air pollution is a major health and environmental concern worldwide, and the levels are extrem...
The present study focuses on the spatio-temporal variation of nitrogen dioxide (NO2) during June 201...
Modelling photochemical pollutants, such as ground level ozone (O3), nitric oxide (NO) and nitrogen ...
Air pollution causes premature mortality and morbidity globally, but these adverse health effects oc...
Monthly and inter-annual variation in tropospheric nitrogen dioxide (NO2) have been examined over me...
Land-use regression (LUR) has been used to model local spatial variability of partic...
AbstractThe rapid urbanization and industrialization in many parts of the world have made air pollut...
AbstractThe rapid urbanization and industrialization in many parts of the world have made air pollut...
Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY) tropospheric NO2 re...
AbstractThis study presents a systematic evaluation of a year-long, continuous, real-time measuremen...
AbstractThis study aims to assess the urban air quality, and map NO2, SO2, and PM10 profiles using t...
Air pollution can cause many adverse health outcomes, including cardiovascular and respiratory disor...
Health impacts of air pollution are widely recognised where exposure to NO2 increases the risk of re...
This research study examines the spatial pattern of NO2 concentrations at the district level in Utta...
Very few land use regression (LUR) models have been developed for megacities in low- and middle-inco...
Urban air pollution is a major health and environmental concern worldwide, and the levels are extrem...
The present study focuses on the spatio-temporal variation of nitrogen dioxide (NO2) during June 201...
Modelling photochemical pollutants, such as ground level ozone (O3), nitric oxide (NO) and nitrogen ...
Air pollution causes premature mortality and morbidity globally, but these adverse health effects oc...
Monthly and inter-annual variation in tropospheric nitrogen dioxide (NO2) have been examined over me...
Land-use regression (LUR) has been used to model local spatial variability of partic...
AbstractThe rapid urbanization and industrialization in many parts of the world have made air pollut...
AbstractThe rapid urbanization and industrialization in many parts of the world have made air pollut...
Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY) tropospheric NO2 re...
AbstractThis study presents a systematic evaluation of a year-long, continuous, real-time measuremen...
AbstractThis study aims to assess the urban air quality, and map NO2, SO2, and PM10 profiles using t...
Air pollution can cause many adverse health outcomes, including cardiovascular and respiratory disor...
Health impacts of air pollution are widely recognised where exposure to NO2 increases the risk of re...
This research study examines the spatial pattern of NO2 concentrations at the district level in Utta...
Very few land use regression (LUR) models have been developed for megacities in low- and middle-inco...