Spatial–Temporal Assessment of Air Pollution in Haryana, India, Using Ground-Based Monitoring and GIS Interpolation (2019–2023)
摘要
In fast-growing developing zones like Haryana, India, there is an increasing problem of air pollution that is a threat to the population’s health and environmental sustainability. The paper researches the spatial and temporal distributions of major air pollutants, including PM10, PM2.5, NO2, and SO2, from 2019 to 2023 with the help of the data provided at 24 Continuous Ambient Air Quality monitors (CAAQMS). The spatial analysis based on Geographic Information System (GIS) was done on the pollutant distribution and hotspots of the regions using the ArcGIS 10.4 Interpolation Interface, Inverse Distance Weighting (IDW) method. Pearson correlation analysis and descriptive statistics were used to analyse pollutant variability and pollutant relationships. The findings indicate that there is a significant decrease in the concentration of pollutants throughout the COVID-19 lockdown, as NO2, PM2.5, PM10, and SO2 pollutants decreased by 60.9%, 15.31%, 10.26% and 31.6%, respectively. Regardless of such an overall increase in the concentration, the urban-industrial areas of Faridabad, Gurugram, and Panipat always registered higher levels of pollutant concentrations, which showed the presence of localised sources of emissions. The results point to the efficiency of short-term emission cuts during lockdown and emphasise the usefulness of region-specific approaches to pollution management in enhancing the therapeutic air quality of rapidly urbanising areas.