Assessment of meteorological parameters on air pollution variability over Delhi

被引:0
作者
Kalpana Garsa
Abul Amir Khan
Prakhar Jindal
Anirban Middey
Nadeem Luqman
Hitankshi Mohanty
Shubhansh Tiwari
机构
[1] Amity University Haryana,Amity Centre for Air Pollution Control (ACAPC) & Amity Centre for Ocean
[2] Delft University of Technology,Atmospheric Science and Technology (ACOAST)
[3] Kolkata Zonal Centre,Space System Engineering
[4] Amity University Haryana,CSIR
来源
Environmental Monitoring and Assessment | 2023年 / 195卷
关键词
Pollutants; Delhi; Correlation; PM; PM; Meteorology;
D O I
暂无
中图分类号
学科分类号
摘要
In this study, the relationships between meteorological parameters (relative humidity, wind speed, temperature, planetary boundary layer, and rainfall) and air pollutants (particulate matter and gaseous pollutants) have been evaluated during a 3-year period from 2019 to 2021. Diffusion and dispersion of air contaminants were significantly influenced by meteorology over the capital city. The results of correlation matrix and principal component analysis (PCA) suggest a season’s specific influence of meteorological parameters on atmospheric pollutants’ concentration. Temperature has the strongest negative impact on pollutants’ concentration, and all the other studied meteorological parameters negatively (reduced) as well as positively (increased) impacted the air pollutants’ concentration. A two-way process was involved during the interaction of pollutants with relative humidity and wind speed. Due to enhanced moisture-holding capacity during non-monsoon summers, particles get larger and settle down on the ground via dry deposition processes. Winter’s decreased moisture-holding capacity causes water vapour coupled with air contaminants to remain suspended and further deteriorate the quality of the air. High wind speed helps in the dispersion and dilution but a high wind speed associated with dust particles may increase the pollutants’ level downwind side. The PM2.5/PM10 variation revealed that the accumulation effect of relative humidity on PM2.5 was more intense than PM10. Daily average location-specific rainfall data revealed that moderate to high rainfall has a potential wet scavenging impact on both particulate matters and gaseous pollutants.
引用
收藏
相关论文
共 271 条
[1]  
Amir Khan A(2018)A precipitation perspective of the hydrosphere-cryosphere interaction in the Himalaya Geological Society, London, Special Publications 462 73-87
[2]  
Pant NC(2018)Indoor air pollution and exposure assessment of the gulf cooperation council countries: A critical review Environment International 121 491-506
[3]  
Ravindra R(2011)Development and performance evaluation of statistical models correlating air pollutants and meteorological variables at Pantnagar, India Atmospheric Research 99 505-517
[4]  
Alok A(2021)India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project Environmental Modelling & Software 145 105204-209
[5]  
Gupta M(2020)Association of air pollution and heat exposure with preterm birth, low birth weight, and stillbirth in the US: A systematic review JAMA Network Open 3 208243-176
[6]  
Gupta S(2001)The potential impacts of climate variability and change on air pollution-related health effects in the United States Environmental Health Perspectives 109 199-75
[7]  
Amoatey P(2000)Outdoor air pollution, low birth weight, and prematurity Environmental Health Perspectives 108 173-10724
[8]  
Omidvarborna H(2013)Effect of meteorological parameters and environmental pollution on thunderstorm and lightning activity over an urban metropolis of India Urban Climate 3 67-182
[9]  
Baawain MS(2016)Simulations of sulfate–nitrate–ammonium (SNA) aerosols during the extreme haze events over northern China in October 2014 Atmospheric Chemistry and Physics 16 10707-42
[10]  
Al-Mamun A(2007)Speciation of ambient fine organic carbon particles and source apportionment of PM2.5 in Indian cities Journal of Geophysical Research: Atmospheres 112 15303-237