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Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality
Vehicle emissions are the most important source of air pollution in the urban environment worldwide, and their detection and control are critical for protecting public health. Here, we report the use of on-road remote sensing (RS) technology for fast, accurate, and cost-effective identification of h...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809542/ https://www.ncbi.nlm.nih.gov/pubmed/35108043 http://dx.doi.org/10.1126/sciadv.abl7575 |
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author | Huang, Yuhan Lee, Casey K. C. Yam, Yat-Shing Mok, Wai-Chuen Zhou, John L. Zhuang, Yuan Surawski, Nic C. Organ, Bruce Chan, Edward F. C. |
author_facet | Huang, Yuhan Lee, Casey K. C. Yam, Yat-Shing Mok, Wai-Chuen Zhou, John L. Zhuang, Yuan Surawski, Nic C. Organ, Bruce Chan, Edward F. C. |
author_sort | Huang, Yuhan |
collection | PubMed |
description | Vehicle emissions are the most important source of air pollution in the urban environment worldwide, and their detection and control are critical for protecting public health. Here, we report the use of on-road remote sensing (RS) technology for fast, accurate, and cost-effective identification of high-emitting vehicles as an enforcement program for improving urban air quality. Using large emission datasets from chassis dynamometer testing, RS, and air quality monitoring, we found that significant percentages of in-use petrol and LPG vehicles failed the emission standards, particularly the high-mileage fleets. The RS enforcement program greatly cleaned these fleets, in terms of high-emitter percentages, fleet average emissions, roadside and ambient pollutant concentrations, and emission inventory. The challenges of the current enforcement program are conservative setting of cut points, single-lane measurement sites, and lack of application experience in diesel vehicles. Developing more accurate and vertical RS systems will improve and extend their applications. |
format | Online Article Text |
id | pubmed-8809542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-88095422022-02-16 Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality Huang, Yuhan Lee, Casey K. C. Yam, Yat-Shing Mok, Wai-Chuen Zhou, John L. Zhuang, Yuan Surawski, Nic C. Organ, Bruce Chan, Edward F. C. Sci Adv Earth, Environmental, Ecological, and Space Sciences Vehicle emissions are the most important source of air pollution in the urban environment worldwide, and their detection and control are critical for protecting public health. Here, we report the use of on-road remote sensing (RS) technology for fast, accurate, and cost-effective identification of high-emitting vehicles as an enforcement program for improving urban air quality. Using large emission datasets from chassis dynamometer testing, RS, and air quality monitoring, we found that significant percentages of in-use petrol and LPG vehicles failed the emission standards, particularly the high-mileage fleets. The RS enforcement program greatly cleaned these fleets, in terms of high-emitter percentages, fleet average emissions, roadside and ambient pollutant concentrations, and emission inventory. The challenges of the current enforcement program are conservative setting of cut points, single-lane measurement sites, and lack of application experience in diesel vehicles. Developing more accurate and vertical RS systems will improve and extend their applications. American Association for the Advancement of Science 2022-02-02 /pmc/articles/PMC8809542/ /pubmed/35108043 http://dx.doi.org/10.1126/sciadv.abl7575 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Earth, Environmental, Ecological, and Space Sciences Huang, Yuhan Lee, Casey K. C. Yam, Yat-Shing Mok, Wai-Chuen Zhou, John L. Zhuang, Yuan Surawski, Nic C. Organ, Bruce Chan, Edward F. C. Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality |
title | Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality |
title_full | Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality |
title_fullStr | Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality |
title_full_unstemmed | Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality |
title_short | Rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality |
title_sort | rapid detection of high-emitting vehicles by on-road remote sensing technology improves urban air quality |
topic | Earth, Environmental, Ecological, and Space Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809542/ https://www.ncbi.nlm.nih.gov/pubmed/35108043 http://dx.doi.org/10.1126/sciadv.abl7575 |
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