Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India

Abstract Considering the need to identify the sources of air pollution in smart city Bhubaneswar, a non-attainment city in India, a high-resolution comprehensive gridded emission inventory (EI) of eight primary air pollutants has been developed for the base year 2018. The inventory involves detailed...

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Main Authors: Saroj Kumar Sahu, Pallavi Sahoo, Poonam Mangaraj, Gufran Beig, Bhishma Tyagi, Basanta Samal, Ashirbad Mishra, Ravi Yadav
Format: Article
Language:English
Published: Springer 2023-07-01
Series:Aerosol and Air Quality Research
Subjects:
Online Access:https://doi.org/10.4209/aaqr.230049
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author Saroj Kumar Sahu
Pallavi Sahoo
Poonam Mangaraj
Gufran Beig
Bhishma Tyagi
Basanta Samal
Ashirbad Mishra
Ravi Yadav
author_facet Saroj Kumar Sahu
Pallavi Sahoo
Poonam Mangaraj
Gufran Beig
Bhishma Tyagi
Basanta Samal
Ashirbad Mishra
Ravi Yadav
author_sort Saroj Kumar Sahu
collection DOAJ
description Abstract Considering the need to identify the sources of air pollution in smart city Bhubaneswar, a non-attainment city in India, a high-resolution comprehensive gridded emission inventory (EI) of eight primary air pollutants has been developed for the base year 2018. The inventory involves detailed activity data with ~0.4 km × ~0.4 km resolution covering the city using a Geographical Information System (GIS) based statistical approach. In total, ~17 major and minor sectors are responsible for the city’s air pollution crisis. Windblown road dust, transport sector, and residential cooking activities emerged as the dominating sources. Emissions of CO, NOx, SO2, VOC, PM2.5, PM10, BC, and OC are estimated to be 112 Gg yr−1, 44 Gg yr−1, 11 Gg yr−1, 73 Gg yr−1, 9 Gg yr−1, 17 Gg yr−1, 5 Gg yr−1 and 0.8 Gg yr−1 respectively. Nearly 14% and 12% area of the entire study domain are found to be responsible for almost half of PM10 and NOx emissions respectively. The central region of the city with the presence of national highways, major roads, and nearby industrial belts, experiences maximum emission of pollutants. The present gridded surface emission dataset is an essential requirement in framing new mitigation strategies to combat ongoing and future air pollution crises and achieve better air quality.
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institution Kabale University
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spelling doaj-art-d84a3c26ac094ee9ae52bfc4d24bbdbb2025-02-09T12:23:21ZengSpringerAerosol and Air Quality Research1680-85842071-14092023-07-0123911910.4209/aaqr.230049Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern IndiaSaroj Kumar Sahu0Pallavi Sahoo1Poonam Mangaraj2Gufran Beig3Bhishma Tyagi4Basanta Samal5Ashirbad Mishra6Ravi Yadav7Environmental Science, Department of Botany, Utkal UniversityEnvironmental Science, Department of Botany, Utkal UniversityEnvironmental Science, Department of Botany, Utkal UniversityNational Institute of Advanced Studies (NIAS), Indian Institute of Science (IISc) CampusDepartment of Earth and Atmospheric Sciences, National Institute of Technology RourkelaIrish Centre for High-End Computing (ICHEC)Environmental Science, Department of Botany, Utkal UniversityNUS Environmental Research Institute, National University of SingaporeAbstract Considering the need to identify the sources of air pollution in smart city Bhubaneswar, a non-attainment city in India, a high-resolution comprehensive gridded emission inventory (EI) of eight primary air pollutants has been developed for the base year 2018. The inventory involves detailed activity data with ~0.4 km × ~0.4 km resolution covering the city using a Geographical Information System (GIS) based statistical approach. In total, ~17 major and minor sectors are responsible for the city’s air pollution crisis. Windblown road dust, transport sector, and residential cooking activities emerged as the dominating sources. Emissions of CO, NOx, SO2, VOC, PM2.5, PM10, BC, and OC are estimated to be 112 Gg yr−1, 44 Gg yr−1, 11 Gg yr−1, 73 Gg yr−1, 9 Gg yr−1, 17 Gg yr−1, 5 Gg yr−1 and 0.8 Gg yr−1 respectively. Nearly 14% and 12% area of the entire study domain are found to be responsible for almost half of PM10 and NOx emissions respectively. The central region of the city with the presence of national highways, major roads, and nearby industrial belts, experiences maximum emission of pollutants. The present gridded surface emission dataset is an essential requirement in framing new mitigation strategies to combat ongoing and future air pollution crises and achieve better air quality.https://doi.org/10.4209/aaqr.230049Emission inventoryAir pollutionAnthropogenic emissionsPrimary air pollutants
spellingShingle Saroj Kumar Sahu
Pallavi Sahoo
Poonam Mangaraj
Gufran Beig
Bhishma Tyagi
Basanta Samal
Ashirbad Mishra
Ravi Yadav
Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India
Aerosol and Air Quality Research
Emission inventory
Air pollution
Anthropogenic emissions
Primary air pollutants
title Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India
title_full Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India
title_fullStr Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India
title_full_unstemmed Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India
title_short Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India
title_sort identification and quantification of emission hotspots of air pollutants over bhubaneswar a smart city in eastern india
topic Emission inventory
Air pollution
Anthropogenic emissions
Primary air pollutants
url https://doi.org/10.4209/aaqr.230049
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