Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data
<p>This paper presents a bottom-up methodology to estimate multi-pollutant hourly gridded on-road traffic emission using advanced traffic flow and speed data for Delhi. We have used the globally adopted COPERT (Computer Programme to Calculate Emissions from Road Transport) emission functions t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-02-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/15/661/2023/essd-15-661-2023.pdf |
| _version_ | 1811168992330514432 |
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| author | A. Biswal A. Biswal V. Singh L. Malik G. Tiwari K. Ravindra S. Mor |
| author_facet | A. Biswal A. Biswal V. Singh L. Malik G. Tiwari K. Ravindra S. Mor |
| author_sort | A. Biswal |
| collection | DOAJ |
| description | <p>This paper presents a bottom-up methodology to estimate
multi-pollutant hourly gridded on-road traffic emission using advanced
traffic flow and speed data for Delhi. We have used the globally adopted
COPERT (Computer Programme to Calculate Emissions from Road Transport)
emission functions to calculate the emission as a function of speed for 127
vehicle categories. At first, the traffic volume and congestion (travel time delay) relation is applied to model the 24 h traffic speed and flow for all the major road links of Delhi. The modelled traffic flow and speed shows an anti-correlation behaviour having peak traffic and emissions in
morning–evening rush hours. We estimated an annual emission of 1.82 Gg for PM (particulate matter), 0.94 Gg for BC (black carbon), 0.75 Gg for OM (organic matter), 221 Gg for CO (carbon monoxide), 56 Gg for NO<span class="inline-formula"><sub><i>x</i></sub></span> (oxides of nitrogen), 64 Gg for VOC (volatile organic compound), 0.28 Gg for NH<span class="inline-formula"><sub>3</sub></span> (ammonia), 0.26 Gg for N<span class="inline-formula"><sub>2</sub></span>O (nitrous oxide) and 11.38 Gg for CH<span class="inline-formula"><sub>4</sub></span> (methane) for 2018 with an uncertainty of 60 %–68 %. The hourly emission variation shows bimodal peaks corresponding to morning and evening rush hours and congestion. The minimum emission rates are estimated in the early morning hours whereas the maximum emissions occurred during the evening hours. Inner Delhi is found to have higher emission flux because of higher road density and relatively lower average speed. Petrol vehicles dominate emission share (<span class="inline-formula"><i>></i>50</span> %) across all pollutants except PM, BC and NO<span class="inline-formula"><sub><i>x</i></sub></span>, and within them the 2W (two-wheeler motorcycles) are the major contributors. Diesel-fuelled vehicles contribute most of the PM emission. Diesel and CNG (compressed natural gas) vehicles have a substantial contribution in NO<span class="inline-formula"><sub><i>x</i></sub></span> emission. This study provides very detailed spatiotemporal emission maps for megacity Delhi, which can be used in air quality models for developing suitable strategies to reduce the traffic-related pollution. Moreover, the developed methodology is a step forward in developing real-time emission with the growing availability of real-time traffic data. The complete dataset is publicly available on Zenodo at
<span class="uri">https://doi.org/10.5281/zenodo.6553770</span> (Singh et al., 2022).</p> |
| first_indexed | 2024-04-10T16:34:50Z |
| format | Article |
| id | doaj.art-acbc2a6d24bd4ced88551361ae2393a3 |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-04-10T16:34:50Z |
| publishDate | 2023-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-acbc2a6d24bd4ced88551361ae2393a32023-02-08T13:15:54ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162023-02-011566168010.5194/essd-15-661-2023Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow dataA. Biswal0A. Biswal1V. Singh2L. Malik3G. Tiwari4K. Ravindra5S. Mor6National Atmospheric Research Laboratory, Gadanki, AP, 517112, IndiaDepartment of Environment Studies, Panjab University, Chandigarh, 160014, IndiaNational Atmospheric Research Laboratory, Gadanki, AP, 517112, IndiaDepartment of Civil Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004, IndiaTransportation Research and Injury Prevention Programme, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, IndiaDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh 160012, IndiaDepartment of Environment Studies, Panjab University, Chandigarh, 160014, India<p>This paper presents a bottom-up methodology to estimate multi-pollutant hourly gridded on-road traffic emission using advanced traffic flow and speed data for Delhi. We have used the globally adopted COPERT (Computer Programme to Calculate Emissions from Road Transport) emission functions to calculate the emission as a function of speed for 127 vehicle categories. At first, the traffic volume and congestion (travel time delay) relation is applied to model the 24 h traffic speed and flow for all the major road links of Delhi. The modelled traffic flow and speed shows an anti-correlation behaviour having peak traffic and emissions in morning–evening rush hours. We estimated an annual emission of 1.82 Gg for PM (particulate matter), 0.94 Gg for BC (black carbon), 0.75 Gg for OM (organic matter), 221 Gg for CO (carbon monoxide), 56 Gg for NO<span class="inline-formula"><sub><i>x</i></sub></span> (oxides of nitrogen), 64 Gg for VOC (volatile organic compound), 0.28 Gg for NH<span class="inline-formula"><sub>3</sub></span> (ammonia), 0.26 Gg for N<span class="inline-formula"><sub>2</sub></span>O (nitrous oxide) and 11.38 Gg for CH<span class="inline-formula"><sub>4</sub></span> (methane) for 2018 with an uncertainty of 60 %–68 %. The hourly emission variation shows bimodal peaks corresponding to morning and evening rush hours and congestion. The minimum emission rates are estimated in the early morning hours whereas the maximum emissions occurred during the evening hours. Inner Delhi is found to have higher emission flux because of higher road density and relatively lower average speed. Petrol vehicles dominate emission share (<span class="inline-formula"><i>></i>50</span> %) across all pollutants except PM, BC and NO<span class="inline-formula"><sub><i>x</i></sub></span>, and within them the 2W (two-wheeler motorcycles) are the major contributors. Diesel-fuelled vehicles contribute most of the PM emission. Diesel and CNG (compressed natural gas) vehicles have a substantial contribution in NO<span class="inline-formula"><sub><i>x</i></sub></span> emission. This study provides very detailed spatiotemporal emission maps for megacity Delhi, which can be used in air quality models for developing suitable strategies to reduce the traffic-related pollution. Moreover, the developed methodology is a step forward in developing real-time emission with the growing availability of real-time traffic data. The complete dataset is publicly available on Zenodo at <span class="uri">https://doi.org/10.5281/zenodo.6553770</span> (Singh et al., 2022).</p>https://essd.copernicus.org/articles/15/661/2023/essd-15-661-2023.pdf |
| spellingShingle | A. Biswal A. Biswal V. Singh L. Malik G. Tiwari K. Ravindra S. Mor Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data Earth System Science Data |
| title | Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data |
| title_full | Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data |
| title_fullStr | Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data |
| title_full_unstemmed | Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data |
| title_short | Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data |
| title_sort | spatially resolved hourly traffic emission over megacity delhi using advanced traffic flow data |
| url | https://essd.copernicus.org/articles/15/661/2023/essd-15-661-2023.pdf |
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