Spatio-temporal analysis of air pollution dynamics over Bangalore city during second wave of COVID-19

{"title":"Spatio-temporal analysis of air pollution dynamics over Bangalore city during second wave of COVID-19","authors":"","doi":"10.1016/j.nhres.2023.10.002","DOIUrl":null,"url":null,"abstract":"<div><p>The country wide lockdown implemented during 27th April to 14<sup>th</sup> June 2021 in order to prevent the spread of COVID-19 during the second wave in India. Effect of the restricted lockdown resulted in improved air quality. This study focuses on analyzing the spatio-temporal distribution analysis of major air pollutant concentration over Bangalore city in India. The inverse distance weighting (IDW) method is implemented for the spatial analysis in order to quantify the distribution of the pollutant concentrations at each location in the Urban city of Bangalore. The research considers the distinct periods of pre-lockdown and lockdown during the second wave of COVID-19 pandemic in 2021 to investigate the impact of reduced human activities on air quality over the city. The study mainly utilizes the air pollution data collected from Central Pollution Control Board (CPCB) monitoring stations across Bangalore, including measurements of pollutants such as PM<sub>2.5</sub>, PM<sub>10</sub>, O<sub>3</sub>, NO<sub>2</sub>, SO<sub>2</sub>, and CO. The IDW method is implemented to create the high-resolution pollution concentration maps for both the pre-lockdown and lockdown periods. This spatial distribution provides valuable insights into the variations in the pollution levels though out the Bangalore city. The comparative analysis of the concentration maps reveals significant changes in air pollution levels between the two periods; similarly, the temporal weekly average analysis also witnessed negative anomalies during the lockdown weeks. The results indicate substantial reductions in pollutant concentrations during the second wave COVID-19 lockdown, attributed to decreased vehicular emissions, industrial activities, and construction operations. The pre-lockdown period serves as a baseline for assessing the improvements in air quality during the lockdown. The spatio-temporal modeling approach enhances our understanding of the distribution patterns of air pollutants across the Bangalore metropolitan city. The findings underscore the potential benefits of implementing sustainable strategies to maintain improved air quality even after the pandemic subsides.</p></div>","PeriodicalId":100943,"journal":{"name":"Natural Hazards Research","volume":"4 3","pages":"Pages 401-412"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666592123000975/pdfft?md5=7cd52c3ab56a1d043936e83266c05514&pid=1-s2.0-S2666592123000975-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666592123000975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The country wide lockdown implemented during 27th April to 14th June 2021 in order to prevent the spread of COVID-19 during the second wave in India. Effect of the restricted lockdown resulted in improved air quality. This study focuses on analyzing the spatio-temporal distribution analysis of major air pollutant concentration over Bangalore city in India. The inverse distance weighting (IDW) method is implemented for the spatial analysis in order to quantify the distribution of the pollutant concentrations at each location in the Urban city of Bangalore. The research considers the distinct periods of pre-lockdown and lockdown during the second wave of COVID-19 pandemic in 2021 to investigate the impact of reduced human activities on air quality over the city. The study mainly utilizes the air pollution data collected from Central Pollution Control Board (CPCB) monitoring stations across Bangalore, including measurements of pollutants such as PM2.5, PM10, O3, NO2, SO2, and CO. The IDW method is implemented to create the high-resolution pollution concentration maps for both the pre-lockdown and lockdown periods. This spatial distribution provides valuable insights into the variations in the pollution levels though out the Bangalore city. The comparative analysis of the concentration maps reveals significant changes in air pollution levels between the two periods; similarly, the temporal weekly average analysis also witnessed negative anomalies during the lockdown weeks. The results indicate substantial reductions in pollutant concentrations during the second wave COVID-19 lockdown, attributed to decreased vehicular emissions, industrial activities, and construction operations. The pre-lockdown period serves as a baseline for assessing the improvements in air quality during the lockdown. The spatio-temporal modeling approach enhances our understanding of the distribution patterns of air pollutants across the Bangalore metropolitan city. The findings underscore the potential benefits of implementing sustainable strategies to maintain improved air quality even after the pandemic subsides.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
COVID-19 第二波期间班加罗尔市上空空气污染动态时空分析
在 2021 年 4 月 27 日至 6 月 14 日期间,印度在全国范围内实施封锁,以防止 COVID-19 在印度的第二波传播。限制性封锁的效果改善了空气质量。本研究主要分析印度班加罗尔市主要空气污染物浓度的时空分布分析。在空间分析中采用了反距离加权法(IDW),以量化班加罗尔市区各个地点的污染物浓度分布。研究考虑了 2021 年 COVID-19 大流行第二波期间不同的封锁前和封锁期,以调查人类活动减少对城市空气质量的影响。研究主要利用中央污染控制委员会(CPCB)在班加罗尔各监测站收集的空气污染数据,包括 PM2.5、PM10、O3、NO2、SO2 和 CO 等污染物的测量值。采用 IDW 方法绘制了封锁前和封锁期间的高分辨率污染浓度图。这种空间分布为了解班加罗尔市的污染水平变化提供了宝贵的信息。浓度地图的对比分析表明,两个时期的空气污染水平发生了显著变化;同样,时间周平均值分析也显示,在封锁周期间出现了负异常。结果表明,在 COVID-19 第二波封锁期间,污染物浓度大幅下降,这归因于车辆排放、工业活动和施工作业的减少。封锁前的时期可作为评估封锁期间空气质量改善情况的基线。时空建模方法增强了我们对班加罗尔大都市空气污染物分布模式的了解。研究结果强调了实施可持续战略的潜在益处,即使在大流行病消退后也能保持空气质量的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.10
自引率
0.00%
发文量
0
期刊最新文献
A review on the extreme rainfall studies in India Socioeconomic impacts of flooding and its coping strategies in Nigeria: Evidence from Dagiri community, Gwagwalada area council of Abuja Ecosysem-based approach to local flood risk management in Ogun State, Nigeria: Knowledge, and pathway to Actualisation Comprehensive seismic hazard assessment for Guwahati City, Northeast India: Insights from probabilistic and deterministic seismic hazard analysis Source characteristics of earthquakes in Delhi and its vicinity: Implications for seismogenesis in the stable continental region of India
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1