Journals / Atmospheric Pollution Research / 2020 / Cilt: 11 - Sayı: 9

A high-resolution spatial and temporal on-road vehicle emission inventory in an Iranian metropolitan area, Isfahan, based on detailed hourly traffic data

Pages
1598–1609
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results showed that EFs of all pollutants emitted from vehicle exhausts usually decrease with vehicle speed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The present study is primarily aimed to establish a detailed exhaustive emission inventory of urban motor vehicles in a medium-sized city, i.e.
📊
Key Findings & Data:A high resolution 1 km × 1 km vehicle emission inventory for the year 2018 was then developed in a bottom-up approach.
💡
Conclusion & Impact:The results showed that EFs of all pollutants emitted from vehicle exhausts usually decrease with vehicle speed.
🔬Design:Modeling & Simulation
📍Scope:2018 Verileri
⚙️Variables:Domain Parameters

Özet

The present study is primarily aimed to establish a detailed exhaustive emission inventory of urban motor vehicles in a medium-sized city, i.e. Isfahan. The International Vehicle Emission (IVE) model was utilized to estimate the motor vehicle Emission Factors (EFs) in different areas of Isfahan. IVE was adjusted using the results obtained by on-board real-world EF measurements. A high resolution 1 km × 1 km vehicle emission inventory for the year 2018 was then developed in a bottom-up approach. The method was employed based on the influencing factors such as the collected hourly-data on road network, traffic flow, vehicle driving cycles, and the vehicle population in Isfahan. Moreover, the variations of EFs with vehicle speed were investigated for different vehicle categories to assess the emission rates through Isfahan transportation fleet. The results showed that EFs of all pollutants emitted from vehicle exhausts usually decrease with vehicle speed. Also, gasoline vehicles have larger CO and VOCs EFs than the others, whereas vehicles fueled by diesel have the largest NOx, SOx, and PM10 EFs. The established emission inventory revealed that the annual amount of CO, VOCs, NOx, SOx, and PM10 emitted from Isfahan on-road mobile sources in 2018 are 267.6, 12.6, 20.3, 0.3, and 2.3 kt, respectively. The gasoline vehicles including cars and motorcycles were the main sources of CO, VOCs, and SOx, whereas the heavy-duty vehicles and buses equipped with diesel engines were the main sources of NOx and PM10. The hourly variations of EFs ensure an acceptable consistency with the hourly variation of the traffic flow at different areas. Moreover, the high-resolution spatial distribution of vehicle emission inventory represented that emissions were concentrated on the downtown, esp. on underdeveloped historical area of the city, where the most of the governmental and administrative departments are concentrated.

🔖

Cite This Article

GHAFFARPASAND, O., TALAİE, M. R., AHMADİKİA, H., KHOZANİ, A. T., SHALAMZARİ, M. D. (2020). A high-resolution spatial and temporal on-road vehicle emission inventory in an Iranian metropolitan area, Isfahan, based on detailed hourly traffic data. Atmospheric Pollution Research, Cilt: 11 - Sayı: 9, 1598–1609. https://ajindex.com/articles/144920

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (9)

  1. www.isfahan-doe.ir. Banitalebi, E., Hosseini, V., 2016. Development of hot exhaust emission factors for Iranian-made euro-2 certified light-duty vehicles. Environ. Sci. Technol. 50 (1), 279–284.
  2. Chen, J.H., et al., 2015. Establishment of the light-duty gasoline vehicle emission inventory in Chengdu by the International Vehicle Emissions model. Acta. Sci. Circumstantiate 35 (7), 2016–2024 (in Chinese). Fameli, K.M., Assimakopoulos, V.D., 2015. Development of a road transport emission inventory for Greece and the Greater Athens Area: effects of important parameters. Sci. Total Environ. 505, 770–786.
  3. Frey, H.C., Zheng, J., 2002. Probabilistic analysis of driving cycle-based highway vehicle emission factors. Environ. Sci. Technol. 36 (23), 5184–5191.
  4. Ghaffarpasand, O., et al., In-situ measurements of CO, HC, and NOx pollutants from CNGgasoline bi-fuel passenger cars/taxis at roadside environment: the first comprehensive study in center of Iran. (In process). Ghaffarpasand, O., et al., Recent development of driving cycle as well as real-world experiments to assess and estimate emission performance of gasoline motorcycles in the urban region of Isfahan. (In process). Ghaffarpasand, O., et al., An Assessment of Urban Bus Emission Performance and Fuel Consumption Based on On-Board Measurements in the City of Isfahan, Iran in Process. Guo, H., et al., 2007. Evaluation of the International Vehicle Emission (IVE) model with on-road remote sensing measurements. J. Environ. Sci. 19 (7), 818–826.
  5. Hassani, A., Hosseini, V., 2016. An assessment of gasoline motorcycle emissions performance and understanding their contribution to Tehran air pollution. Transport. Res. Transport Environ. 47, 1–12.
  6. Ho, B.Q., Clappier, A., Blond, N., 2014. Fast and optimized methodology to generate road traffic emission inventories and their uncertainties. Clean 42 (10), 1344–1350.
  7. Hosseiniebalam, F., Ghaffarpasand, O., 2015. The effects of emission sources and meteorological factors on sulphur dioxide concentration of Great Isfahan, Iran. Atmos. Environ. 100, 94–101.
  8. Huo, H., et al., 2009. High-resolution vehicular emission inventory using a link-based method: a case study of light-duty vehicles in beijing. Environ. Sci. Technol. 43 (7), 2394–2399.
  9. Jing, B., et al., 2016. Development of a vehicle emission inventory with high temporal–spatial resolution based on NRT traffic data and its impact on air pollution in Beijing – Part 1: development and evaluation of vehicle emission inventory. Atmos.