Identification of urban drinking water supply patterns across 627 cities in China based on supervised and unsupervised statistical learning.

Urbanization, one of the predominant trends of the 21st century, places great stress on urban water supply networks. This paper aimed to identify the most important variables driving urban water supply patterns in China, a region which has seen rapid urban growth in the last few decades. In addition...

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Detalles Bibliográficos

Publicado en:	Journal of Environmental Management Vol. 223; pp. 658 - 668
Autores principales:	De Clercq, Djavan, Smith, Kate, Chou, Brandon, Gonzalez, Andrew, Kothapalle, Rinitha, Li, Charles, Dong, Xin, Liu, Shuming, Wen, Zongguo
Formato:	Artículo
Publicado:	Academic Press Inc. Oct2018
Materias:	Water supply Urbanization Drinking water Sustainability Random forest algorithms
Acceso en línea:	Ver este registro en EBSCOhost