Roshan George Moncy, Aneesh Mathew, Padala Raja Shekar
{"title":"Spatio-temporal variation and trend analysis of ground-level ozone in major Indian metropolitan cities: A geospatial approach","authors":"Roshan George Moncy, Aneesh Mathew, Padala Raja Shekar","doi":"10.1016/j.rsase.2024.101395","DOIUrl":null,"url":null,"abstract":"<div><div>Air pollution refers to any chemical, physical, or biological contamination that contaminates an interior or outdoor environment and modifies the intrinsic qualities of the atmosphere. It can be produced by natural or anthropogenic activities. Among those pollutants mentioned by the World Health Organization (WHO), ground-level ozone, also known as tropospheric ozone, possesses a significant impact on human life. The current study was developed in response to the need to study ground-level ozone concentrations around India and metropolitan cities. The spatiotemporal variation across India was analyzed using geospatial methods. Using trend tests, trend analysis of the main metropolises in Bangalore, Chennai, Delhi, Hyderabad, Kolkata, and Mumbai was presented. 18 years of data (2005–2022) from the Ozone Monitoring Instrument (OMI) were used to conduct the test. According to geospatial research results, the northern region of India has a higher concentration of ozone than other locations. Delhi has a higher ozone rate than other metropolitan cities, ranging from 0.1219 to 0.1567 mol/m<sup>2</sup>, followed by Kolkata (0.1085–0.1418 mol/m<sup>2</sup>). In these cities, summertime is often the time of year when the ground-level ozone concentration is at its maximum. Trend analysis using the Mann-Kendall and modified Mann-Kendall tests from 2005 to 2022 shows that the concentration increases with each year that goes by, even though there isn't a significant trend (p < 0.05) across all of the monthly, seasonal, or annual periods. The research identifies high ozone areas and seasons, guiding policies, health advisories, urban planning, and accurate pollution forecasts.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"37 ","pages":"Article 101395"},"PeriodicalIF":3.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352938524002593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Air pollution refers to any chemical, physical, or biological contamination that contaminates an interior or outdoor environment and modifies the intrinsic qualities of the atmosphere. It can be produced by natural or anthropogenic activities. Among those pollutants mentioned by the World Health Organization (WHO), ground-level ozone, also known as tropospheric ozone, possesses a significant impact on human life. The current study was developed in response to the need to study ground-level ozone concentrations around India and metropolitan cities. The spatiotemporal variation across India was analyzed using geospatial methods. Using trend tests, trend analysis of the main metropolises in Bangalore, Chennai, Delhi, Hyderabad, Kolkata, and Mumbai was presented. 18 years of data (2005–2022) from the Ozone Monitoring Instrument (OMI) were used to conduct the test. According to geospatial research results, the northern region of India has a higher concentration of ozone than other locations. Delhi has a higher ozone rate than other metropolitan cities, ranging from 0.1219 to 0.1567 mol/m2, followed by Kolkata (0.1085–0.1418 mol/m2). In these cities, summertime is often the time of year when the ground-level ozone concentration is at its maximum. Trend analysis using the Mann-Kendall and modified Mann-Kendall tests from 2005 to 2022 shows that the concentration increases with each year that goes by, even though there isn't a significant trend (p < 0.05) across all of the monthly, seasonal, or annual periods. The research identifies high ozone areas and seasons, guiding policies, health advisories, urban planning, and accurate pollution forecasts.
期刊介绍:
The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems