Conference Papers Year : 2024

Answering Key Questions About Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Analysis Using the XAI-SHAP Clustering Approach

Abstract

This study investigates the impact of various air pollutants in Ho Chi Minh City (HCMC), Vietnam, employing a supervised clustering approach that integrates Shapley Additive exPlanations (SHAP) values with a publicly available outdoor air quality dataset. The research focuses on identifying influential pollutant factors, affected city regions, their impact on surrounding areas, and the effectiveness of supervised clustering using SHAP values in pinpointing intersections between impacted stations. A feature set from Rakholia et al. (2023) is utilized in conjunction with tree-based machine learning models for each target time series. This approach provides insights into the contribution of different variables through the lens of eXplainable artificial intelligence (XAI)-SHAP methodology. The study also explores intersections between affected areas using the Uniform Manifold Approximation and Projection technique. Key findings indicate a pronounced influence of Nitrogen Dioxide (NO2) and Temperature on morning air quality, largely attributed to traffic congestion. Conversely, Carbon Monoxide (CO) and Ozone (O3) significantly affect the afternoon air quality, influenced by solar radiation and industrial activities. Spatial and temporal analysis of air pollution variables suggests that mapping interference between monitoring stations can enhance categorization accuracy in certain city’s parts. This research provides valuable insights that can significantly benefit urban planning, time-sensitive policy development, and targeted intervention strategies. These findings are intended to support policymakers and stakeholders in addressing air pollution in HCMC more effectively.
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Avant la publication
Friday, January 1, 2027
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Friday, January 1, 2027
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hal-04948691 , version 1 (14-02-2025)

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Polat Goktas, Rajnish Rakholia, Ricardo S. Carbajo. Answering Key Questions About Air Pollution Dynamics in Ho Chi Minh City: A Spatiotemporal Analysis Using the XAI-SHAP Clustering Approach. 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KMES), Sep 2023, Krakow, Poland. pp.189-203, ⟨10.1007/978-3-031-61069-1_14⟩. ⟨hal-04948691⟩
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