Multivariate and spatial analysis of reduced urban air pollution during COVID-19 pandemic in Delhi

Q4 Social Sciences

Forum Geografic Pub Date : 2021-06-30 DOI:10.5775/fg.2021.089.i

M. Kumari, Shivangi S. Somvanshi, Burhan Ulwafa

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引用次数: 1

Abstract

Towards the end of 2019, a novel contagious virus (COVID-19) came out of Wuhan, China and turned into a disastrous pandemic. Many countries were completely or partially locked down. The ongoing pandemic has greatly affected our society and economy but, on the other side, it had effects upon the natural environment, as it rejuvenated itself. The present study repots the air quality and spatial distribution of air quality parameters (PM10, PM2.5, NO2, SO2, O3 and CO) in Delhi, taking into account data from 36 monitoring stations, for the months of January - April 2019 and 2020, respectively before and during the COVID-19 pandemic. The statistical tools like box plot, Pearson's correlation, and PCA were used to interpret air pollution data before and during the lockdown period. The results revealed the characteristics of pollutants with respect to location, relationship between pollutants, and monitoring their level in compliance with the limits set by the legislation. The results of multivariate analysis were further spatially analyzed by mapping the distribution of pollutants by using the Inverse Distance Weighted interpolation. The result revealed the gradual reduction in the pollutant concentrations (PM10, PM2.5, CO, SO2) and an increment in ozone concentration was observed, which was due to a drastic reduction in NO2, especially during March and April 2020, immediately after the declared lockdown in the region. The overall study indicated that the interventions for urban air pollution mitigation are crucial in the regeneration of nature. © 2021 University of Craiova, Faculty of Social Sciences, Department of Geography. All rights reserved.

查看原文本刊更多论文

COVID-19大流行期间德里城市空气污染减少的多变量和空间分析

2019年底，一种新型传染性病毒(COVID-19)从中国武汉传出，演变成一场灾难性的大流行。许多国家被完全或部分封锁。当前的大流行病极大地影响了我们的社会和经济，但另一方面，它也对自然环境产生了影响，因为它重新焕发了活力。本研究利用2019年1月至4月和2020年36个监测站的数据，分别在2019冠状病毒病大流行之前和期间，报告了德里的空气质量和空气质量参数(PM10、PM2.5、NO2、SO2、O3和CO)的空间分布。采用箱形图、Pearson’s correlation和PCA等统计工具对封城前和封城期间的空气污染数据进行了分析。结果揭示了污染物在位置、污染物之间的关系方面的特征，并根据立法规定的限制监测其水平。采用逆距离加权插值法对多变量分析结果进行空间分析。结果显示，污染物浓度(PM10、PM2.5、CO、SO2)逐渐下降，臭氧浓度增加，这是由于二氧化氮急剧减少，特别是在宣布封锁后的2020年3月和4月。总体研究表明，缓解城市空气污染的干预措施对自然的再生至关重要。©2021克拉约瓦大学社会科学学院地理系。版权所有。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Forum Geografic Earth and Planetary Sciences-Earth-Surface Processes

CiteScore

0.70

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： Founded in 2002, Forum geografic. Studii de geografie şi protecţia mediului aims to publish high quality research in the domains of geography, environment protection and other related domains. It addresses a range of issues, such as geomorphology, pedology, climatology, hydrology, human geography and environment. Its content is directed to a broad audience, including both academics and policymakers. The papers selected for publication in the journal are subject to a review process using references from universities worldwide.