Literature DB >> 35907544

On-road vehicle emission inventory and its spatial and temporal distribution in the city of Guayaquil, Ecuador.

Mario Patiño-Aroca1, Antonio Parra2, Rafael Borge3.   

Abstract

Emissions from mobile sources have become a major concern for health, environmental sustainability and climate change and high-resolution inventories are needed to support the design and assessment of abatement measures in urban areas. This study addresses the development of a traffic emissions inventory for Guayaquil, the second largest city in Ecuador, using the International Vehicle Emissions Model (IVE). Emissions are allocated with a spatial resolution of 1 km × 1 km and a temporal resolution of 1 h using a top-down methodology. This application combines traffic statistics already available in the city with the data from a field campaign to characterize vehicle fleet composition and activity patterns. The estimated annual emissions for the city were 237.1 kt of CO, 46.4 kt of NOx, 28.5 kt of VOC, 7.7 kt of PM10, 0.70 kt of SO2 and 4549.7 kt of CO2. 92.3 % of CO and 85.4 % of VOC were emitted by light gasoline vehicles, including private passenger vehicles and taxis, which represents 68.6 % and 8.8 %, respectively of the total fleet and contributes 52 % and 22 % of the total vehicle kilometer traveled (VKT), respectively. 48.9 % of NOx and 82 % of PM10 were emitted by the bus fleet although buses only represent 7.5 % of the total fleet and contribute 10.6 % of total VKT in the city. 41.1 % and 36.5 % of CO2 were emitted by buses and private vehicles, respectively. Even though, the average age of the fleet is below 10 years, the fleet in Guayaquil presents outdated emission standards and high emission factors. We found the higher emission rates in dense populated areas are associated to secondary roads. There is not much variability of emissions between months, but the typical daily pattern of emissions shows a peak in the morning and another in the afternoon.
Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Emission inventories; IVE model; On-road mobile sources; Temporal and spatial distribution; Urban air pollution

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Year:  2022        PMID: 35907544     DOI: 10.1016/j.scitotenv.2022.157664

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   10.753


  1 in total

1.  Forecasting and Planning Method for Taxi Travel Combining Carbon Emission and Revenue Factors-A Case Study in China.

Authors:  Lixin Yan; Bowen Sheng; Yi He; Shan Lu; Junhua Guo
Journal:  Int J Environ Res Public Health       Date:  2022-09-13       Impact factor: 4.614

  1 in total

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