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Estimating Emission Load from Road Transportation within the Bhaktapur Municipality, Nepal
Vehicular emissions have been playing a pivotal role in deteriorating air quality in many urban parts of Nepal causing adverse impacts upon the health of commuters and pedestrians attributed to severe respiratory diseases. Primary data such as the number of vehicles (N) were obtained using two-hour...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665925/ https://www.ncbi.nlm.nih.gov/pubmed/33204281 http://dx.doi.org/10.1155/2020/2828643 |
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author | Neupane, Prasidha R. Bajracharya, Iswor Manandhar, Bhai R. Prajapati, Meera Sujakhu, Hishila Awal, Pramod |
author_facet | Neupane, Prasidha R. Bajracharya, Iswor Manandhar, Bhai R. Prajapati, Meera Sujakhu, Hishila Awal, Pramod |
author_sort | Neupane, Prasidha R. |
collection | PubMed |
description | Vehicular emissions have been playing a pivotal role in deteriorating air quality in many urban parts of Nepal causing adverse impacts upon the health of commuters and pedestrians attributed to severe respiratory diseases. Primary data such as the number of vehicles (N) were obtained using two-hour peak (8 am to 10 am) and two-hour nonpeak (1 pm to 3 pm) count, after which average annual vehicle kilometer (VKT) and fuel economy (F) required for emission load estimation were obtained from vehicle survey using the simple random sampling method, sampling size taken statistically under 5% margin of error. Secondary data in this study include emission factors and derived equations from a published article. The vehicular emission load of Bhaktapur Municipality were found to be 3,310 tons/year including CO(2), CO, NOx, HC, and PM(10) of which CO(2) accounts for 94.36% of total emissions followed by CO (4.39%), HC (0.72%), NOx (0.35%), and PM(10) (0.18%), respectively. Significant positive correlation was found (r = 0.92, p=0.002) between CO(2) and PM(10) (r = 0.87, p=0.009), between CO(2) and NOx (r = 0.90, p=0.004), between CO and HC (r = 0.74, p=0.05), and between NOx and PM(10), respectively. The scenario analysis shows that the introduction of electric vehicles at different rates within the municipality can reduce the emissions to a significant amount. Exponential growth in vehicular gaseous pollutants potent to jeopardize the environment and welfare can become inevitable in the future if clean energy technology is not promoted early. |
format | Online Article Text |
id | pubmed-7665925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-76659252020-11-16 Estimating Emission Load from Road Transportation within the Bhaktapur Municipality, Nepal Neupane, Prasidha R. Bajracharya, Iswor Manandhar, Bhai R. Prajapati, Meera Sujakhu, Hishila Awal, Pramod J Environ Public Health Research Article Vehicular emissions have been playing a pivotal role in deteriorating air quality in many urban parts of Nepal causing adverse impacts upon the health of commuters and pedestrians attributed to severe respiratory diseases. Primary data such as the number of vehicles (N) were obtained using two-hour peak (8 am to 10 am) and two-hour nonpeak (1 pm to 3 pm) count, after which average annual vehicle kilometer (VKT) and fuel economy (F) required for emission load estimation were obtained from vehicle survey using the simple random sampling method, sampling size taken statistically under 5% margin of error. Secondary data in this study include emission factors and derived equations from a published article. The vehicular emission load of Bhaktapur Municipality were found to be 3,310 tons/year including CO(2), CO, NOx, HC, and PM(10) of which CO(2) accounts for 94.36% of total emissions followed by CO (4.39%), HC (0.72%), NOx (0.35%), and PM(10) (0.18%), respectively. Significant positive correlation was found (r = 0.92, p=0.002) between CO(2) and PM(10) (r = 0.87, p=0.009), between CO(2) and NOx (r = 0.90, p=0.004), between CO and HC (r = 0.74, p=0.05), and between NOx and PM(10), respectively. The scenario analysis shows that the introduction of electric vehicles at different rates within the municipality can reduce the emissions to a significant amount. Exponential growth in vehicular gaseous pollutants potent to jeopardize the environment and welfare can become inevitable in the future if clean energy technology is not promoted early. Hindawi 2020-11-06 /pmc/articles/PMC7665925/ /pubmed/33204281 http://dx.doi.org/10.1155/2020/2828643 Text en Copyright © 2020 Prasidha R. Neupane et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Neupane, Prasidha R. Bajracharya, Iswor Manandhar, Bhai R. Prajapati, Meera Sujakhu, Hishila Awal, Pramod Estimating Emission Load from Road Transportation within the Bhaktapur Municipality, Nepal |
title | Estimating Emission Load from Road Transportation within the Bhaktapur Municipality, Nepal |
title_full | Estimating Emission Load from Road Transportation within the Bhaktapur Municipality, Nepal |
title_fullStr | Estimating Emission Load from Road Transportation within the Bhaktapur Municipality, Nepal |
title_full_unstemmed | Estimating Emission Load from Road Transportation within the Bhaktapur Municipality, Nepal |
title_short | Estimating Emission Load from Road Transportation within the Bhaktapur Municipality, Nepal |
title_sort | estimating emission load from road transportation within the bhaktapur municipality, nepal |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665925/ https://www.ncbi.nlm.nih.gov/pubmed/33204281 http://dx.doi.org/10.1155/2020/2828643 |
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