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Temporal dynamics of urban air pollutants and their correlation with associated meteorological parameters: an investigation in northern Indian cities.
Soni, Pushpendra Singh; Singh, Vikram; Gautam, Alok Sagar; Singh, Karan; Sharma, Manish; Singh, Rolly; Gautam, Alka; Singh, Surendra Pratap; Kumar, Sanjeev; Gautam, Sneha.
Afiliação
  • Soni PS; Department of Physics, Agra College, Agra, Dr, Bhimrao Ambedkar University, Agra, Uttar Pradesh, India.
  • Singh V; Department of Physics, Agra College, Agra, Dr, Bhimrao Ambedkar University, Agra, Uttar Pradesh, India.
  • Gautam AS; Atmospheric Physics Laboratory, Department of Physics, HNBGU, Uttarakhand, India. phyalok@gmail.com.
  • Singh K; Atmospheric Physics Laboratory, Department of Physics, HNBGU, Uttarakhand, India.
  • Sharma M; School of Science and Technology, Jigyasa University ( Formerly, Himgiri Zee University), Dehradun, Uttarakhand, India.
  • Singh R; Department of Physics, Agra College, Agra, Dr, Bhimrao Ambedkar University, Agra, Uttar Pradesh, India.
  • Gautam A; Department of Physics, Agra College, Agra, Dr, Bhimrao Ambedkar University, Agra, Uttar Pradesh, India.
  • Singh SP; Department of Physics, Dr. B. R. Ambedkar Govt. Degree College, Mainpuri, Uttar Pradesh, India.
  • Kumar S; Atmospheric Physics Laboratory, Department of Physics, HNBGU, Uttarakhand, India.
  • Gautam S; Division of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, 641 114, Tamil Nadu, India. snehagautam@karunya.edu.
Environ Monit Assess ; 196(6): 505, 2024 May 03.
Article em En | MEDLINE | ID: mdl-38700603
ABSTRACT
This study delves into the intricate dynamics of air pollution in the rapidly expanding northern regions of India, examining the intertwined influences of agricultural burning, industrialization, and meteorological conditions. Through comprehensive analysis of key pollutants (PM2.5, PM10, NO2, SO2, CO, O3) across ten monitoring stations in Uttar Pradesh, Haryana, Delhi, and Punjab, a consistent pattern of high pollution levels emerges, particularly notable in Delhi. Varanasi leads in SO2 and O3 concentrations, while Moradabad stands out for CO levels, and Jalandhar for SO2 concentrations. The study further elucidates the regional distribution of pollutants, with Punjab receiving significant contributions from SW, SE, and NE directions, while Haryana and Delhi predominantly face air masses from SE and NE directions. Uttar Pradesh's pollution sources are primarily local, with additional inputs from various directions. Moreover, significant negative correlations (p < 0.05) between PM10, NO2, SO2, O3, and relative humidity (RH) underscore the pivotal role of meteorological factors in shaping pollutant levels. Strong positive correlations between PM2.5 and NO2 (0.71 to 0.93) suggest shared emission sources or similar atmospheric conditions in several cities. This comprehensive understanding highlights the urgent need for targeted mitigation strategies to address the multifaceted drivers of air pollution, ensuring the protection of public health and environmental sustainability across the region.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dióxido de Enxofre / Monitoramento Ambiental / Cidades / Poluentes Atmosféricos / Poluição do Ar / Material Particulado País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dióxido de Enxofre / Monitoramento Ambiental / Cidades / Poluentes Atmosféricos / Poluição do Ar / Material Particulado País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article