Temporal dynamics of urban air pollutants and their correlation with associated meteorological parameters: an investigation in northern Indian cities

被引:3
作者
Soni, Pushpendra Singh [1 ]
Singh, Vikram [1 ]
Gautam, Alok Sagar [2 ]
Singh, Karan [2 ]
Sharma, Manish [3 ]
Singh, Rolly [1 ]
Gautam, Alka [1 ]
Singh, Surendra Pratap [4 ]
Kumar, Sanjeev [2 ]
Gautam, Sneha [5 ,6 ]
机构
[1] Dr Bhimrao Ambedkar Univ, Agra Coll, Dept Phys, Agra, Uttar Pradesh, India
[2] Dept Phys, Atmospher Phys Lab, HNBGU, Srinagar, Uttarakhand, India
[3] Jigyasa Univ, Himgiri Zee Univ, Sch Sci & Technol, Dehra Dun, Uttarakhand, India
[4] Dr BR Ambedkar Govt Degree Coll, Dept Phys, Mainpuri, Uttar Pradesh, India
[5] Karunya Inst Technol & Sci, Div Civil Engn, Coimbatore 641114, Tamil Nadu, India
[6] Water Inst, Karunya Inst Technol & Sci, Ctr Excellence, Coimbatore 641114, Tamil Nadu, India
基金
英国科研创新办公室;
关键词
Air pollutants; Temporal variation; Trend; Local transportation of air pollutants; THERMAL POWER-PLANTS; GLOBAL BURDEN; POLLUTION; EMISSIONS; AEROSOL; IMPACT; PM10;
D O I
10.1007/s10661-024-12678-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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, O-3) 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 O-3 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, O-3, 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.
引用
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页数:20
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