Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Fuel Station Survey (FuSS) to Profile In-Use Vehicle Characteristics for a City’s Vehicle Exhaust Emissions Inventory

Version 1 : Received: 7 June 2024 / Approved: 7 June 2024 / Online: 10 June 2024 (09:02:07 CEST)

How to cite: Guttikunda, S. K.; Ka, N.; Tejaswi, V.; Goel, R. Fuel Station Survey (FuSS) to Profile In-Use Vehicle Characteristics for a City’s Vehicle Exhaust Emissions Inventory. Preprints 2024, 2024060534. https://doi.org/10.20944/preprints202406.0534.v1 Guttikunda, S. K.; Ka, N.; Tejaswi, V.; Goel, R. Fuel Station Survey (FuSS) to Profile In-Use Vehicle Characteristics for a City’s Vehicle Exhaust Emissions Inventory. Preprints 2024, 2024060534. https://doi.org/10.20944/preprints202406.0534.v1

Abstract

An emissions baseline for a city is the foundation to building an informed clean air action plan. This includes an understanding of the sources and their intensities to device cost-effective measures with the least health impacts. In an urban environment, emissions from road transport is one of the major contributors to the air pollution problem, and accounting for this sector requires a detailed profile of in-use vehicles, covering their age-mix, usage, and fuel economy. In this paper, we present a simplified framework to survey at select fuel stations to establish the necessary inputs and use them to build a localized vehicle emissions inventory. The methodology is illustrated with an application in the city of Patna, India. Here, the FuSS was employed to profile the in-use passenger vehicle characteristics by 19 trained students, over nine days and at ten fuel stations, to collect 9,775 survey points. The methodology outlined in this paper, along with the tools and training framework, is also replicable in settings other than the fuel stations.

Keywords

Fuel Station Surveys; FuSS; Vehicle Exhaust Emissions; Emissions Inventory; Patna; India; In-use Vehicles; Vehicle Age-mix

Subject

Environmental and Earth Sciences, Pollution

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