A novel assessment framework for improving air quality monitoring network layout
Author:
Affiliation:
1. Business School, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China
Funder
the National Social Science Foundation of China
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Management, Monitoring, Policy and Law,Waste Management and Disposal
Link
https://www.tandfonline.com/doi/pdf/10.1080/10962247.2022.2027295
Reference28 articles.
1. Decision support tool to improve the spatial distribution of air quality monitoring sites
2. Ensemble and enhanced PM10 concentration forecast model based on stepwise regression and wavelet analysis
3. A methodological framework for improving air quality monitoring network layout. Applications to environment management
4. Machine learning for air quality prediction using meteorological and traffic related features
5. Optimal redistribution of an urban air quality monitoring network using atmospheric dispersion model and genetic algorithm
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