Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach

Jubaer, A., Hossain, R., Ahmed, A., & Hossain, M. S. (2025). Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach. Environmental Monitoring and Assessment, 197(2). https://doi.org/10.1007/s10661-024-13531-z

Jubaer, Al, et al. "Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach." Environmental Monitoring and Assessment, vol. 197, no. 2, Jan. 2025. https://doi.org/10.1007/s10661-024-13531-z.

Jubaer, Al, Rakib Hossain, Afzal Ahmed, and Md.Shakhaoat Hossain. 2025. "Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach." Environmental Monitoring and Assessment 197 (2). https://doi.org/10.1007/s10661-024-13531-z.

Jubaer, A., Hossain, R., Ahmed, A. and Hossain, M.S. (2025) 'Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach', Environmental Monitoring and Assessment, 197(2). doi:10.1007/s10661-024-13531-z.

A. Jubaer, R. Hossain, A. Ahmed, and M. S. Hossain, "Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach," Environmental Monitoring and Assessment, vol. 197, no. 2, Jan. 2025. doi: 10.1007/s10661-024-13531-z.

Jubaer A, Hossain R, Ahmed A, Hossain MS. Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach. Environmental Monitoring and Assessment. 2025;197(2). doi:10.1007/s10661-024-13531-z

@article{jubaer2025factors,
  title     = {Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach},
  author    = {Jubaer, Al and Hossain, Rakib and Ahmed, Afzal and Hossain, Md.Shakhaoat},
  journal   = {Environmental Monitoring and Assessment},
  year      = {2025},
  volume    = {197},
  number    = {2},
  doi       = {10.1007/s10661-024-13531-z},
  issn      = {1573-2959},
  keywords  = {nitrogen dioxide, urban air quality, spatiotemporal variation, land surface temperature, NDVI, road density, industrial density, settlement density}
}

TY  - JOUR
AU  - Jubaer, Al
AU  - Hossain, Rakib
AU  - Ahmed, Afzal
AU  - Hossain, Md.Shakhaoat
TI  - Factors influencing spatiotemporal variability of NO2 concentration in urban area: a GIS and remote sensing–based approach
T2  - Environmental Monitoring and Assessment
PY  - 2025
VL  - 197
IS  - 2
PB  - Springer Science and Business Media LLC
DO  - 10.1007/s10661-024-13531-z
UR  - https://doi.org/10.1007/s10661-024-13531-z
SN  - 1573-2959
KW  - nitrogen dioxide
KW  - urban air quality
KW  - spatiotemporal variation
KW  - land surface temperature
KW  - NDVI
KW  - road density
KW  - industrial density
KW  - settlement density
AB  - Abstract The growing global attention on urban air quality underscores the need to understand the spatial and temporal dynamics of nitrogen dioxide (NO2), especially in cities like Dhaka (Gazipur), Bangladesh, known for having some of the world's poorest air quality. The present study utilizes the Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5P (S5P) satellite and Google Earth Engine (GEE) to analyse NO2 concentrations in Gazipur, Bangladesh, from 2019 to 2022. Utilizing S5P TROPOMI data, we investigate the correlations between NO2 levels and various environmental factors, including land surface temperature (LST), normalized difference vegetation index (NDVI), land use and land cover (LULC), population density, road density, settlement density, and industry density. Our results reveal significant seasonal variations, with peak NO2 levels during pre-monsoon and post-monsoon periods and the lowest levels during monsoon seasons. The study demonstrates a positive correlation between NO2 concentrations and LST, road density, settlement density, and industrial density, and a negative correlation with NDVI. These findings underscore the detrimental impact of rapid urbanization and deforestation on air quality. Through linear regression analysis, we highlight the influence of these environmental factors on NO2 levels, providing a comprehensive understanding of the urban pollution dynamics in a rapidly growing city. This research offers critical insights for policymakers and urban planners, advocating for enhanced green infrastructure, stringent emission controls, and sustainable urban development strategies to mitigate air pollution in Gazipur. Our methodological approach and findings contribute to the broader discourse on urban air quality management in developing countries.
ER  -