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Advanced Air Quality Management With Machine Learning, Cheng-Pin Kuo
Advanced Air Quality Management With Machine Learning, Cheng-Pin Kuo
Doctoral Dissertations
Air pollution has been a significant health risk factor at a regional and global scale. Although the present method can provide assessment indices like exposure risks or air pollutant concentrations for air quality management, the modeling estimations still remain non-negligible bias which could deviate from reality and limit the effectiveness of emission control strategies to reduce air pollution and derive health benefits. The current development in air quality management is still impeded by two major obstacles: (1) biased air quality concentrations from air quality models and (2) inaccurate exposure risk estimations
Inspired by more available and overwhelming data, machine learning …