Kriging-Based Land-Use Regression Models That Use Machine Learning Algorithms to Estimate the Monthly BTEX Concentration

This paper uses machine learning to refine a Land-use Regression (LUR) model and to estimate the spatial–temporal variation in BTEX concentrations in Kaohsiung, Taiwan. Using the Taiwanese Environmental Protection Agency (EPA) data of BTEX (benzene, toluene, ethylbenzene, and xylenes) concentrations...

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Detalles Bibliográficos
Autores principales: Hsu, Chin-Yu, Zeng, Yu-Ting, Chen, Yu-Cheng, Chen, Mu-Jean, Lung, Shih-Chun Candice, Wu, Chih-Da
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579284/
https://www.ncbi.nlm.nih.gov/pubmed/32977562
http://dx.doi.org/10.3390/ijerph17196956

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579284/
https://www.ncbi.nlm.nih.gov/pubmed/32977562
http://dx.doi.org/10.3390/ijerph17196956

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