Modeling and Optimization of NO2 Stations in the Smart City of Barcelona
Source abstract
Abstract
The growing problem of nitrogen dioxide (NO2) pollution in urban environments is driving cities to adopt smart and sustainable approaches to address this challenge. To quantify and compare the effect of environmental policies, cities must be able to make informed decisions with real-time data that reflect the actual situation. Therefore, the objective of this work is threefold: The first is to study the behavior of the key performance indicator (KPI) of NO2 concentrations per station in Barcelona through exploratory analysis and clustering. The second is to predict NO2 concentration behavior, considering meteorological data. Lastly, a new distribution of current and new stations will be proposed using an optimization algorithm that maximizes the distance between them and covers the largest area of the city. As a result of this study, the importance of the location of measurement points and the need for better distribution in the city are highlighted. These new spatial distributions predict an 8% increase in NO2 concentrations. In conclusion, this study is a comprehensive tool for obtaining an accurate representation of NO2 concentrations in the city, contributing to informed decision-making, helping to improve air quality, and promoting a more sustainable urban environment.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Vehicle emissions and performance · Air Quality Monitoring and Forecasting · Transportation Planning and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Research Center on Production Management and Engineering, Universitat Politècnica de València, Ferrandiz-Carbonell, 03802 Alcoy, Spain
Funding
Spanish Ministry of Science and Innovation · project SUN · project UP2030 · Barcelona City Council and Fundació “la Caixa” under the framework of the Barcelona Science Plan 2020–2023 · CRUE-Universitat Politècnica de València
References (63)
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