Rapid and replicable estimation of air pollutants from vehicles for developing countries: MOVES model parametrization and application
摘要
Most developing countries lack records of pollutants emitted by the vehicle fleet. This research aims to propose a novel methodology, with a robust and affordable technical basis for developing countries, for estimating automobile exhaust gases using the Motor Vehicle Emission Factor software. Specifically, the concentrations of carbon monoxide and nitrogen oxides are estimated to assess their impact on human health and the environment. Prior to obtaining the emission factors for estimating pollutant emissions using the MOtor Vehicle Emission Simulator software, the model was parameterized according to seasonality, fuel type, vehicle type, and traffic schedules. To demonstrate the development of the proposed methodology, the parameterization was applied in a large city in northwestern Mexico with over one million inhabitants and a registration of one vehicle for every two people, corresponding to a vehicle fleet of more than 500,000 vehicles. The pollutant values were compared with international guidelines and applicable regional regulations. The results indicated that, unlike carbon monoxide, nitrogen oxides consistently exceed established guidelines, representing a significant health risk. With the information obtained, it is possible to develop public policies for controlling atmospheric pollution, thereby safeguarding the health of the inhabitants. It also supports international plans such as the Regional Air Quality Action Plan 2022–2025, proposed by the United Nations for Latin America and the Caribbean, by developing a methodology that can be replicated in different cities. The purpose of this is to protect human and environmental health by promoting strategies to mitigate the effects of air pollution.