3 Art�culos

Using Real-Time Data and Unsupervised Machine Learning Techniques to Study Large-Scale Spatio?Temporal Characteristics of Wastewater Discharges and their Influence on Surface Water Quality in the Yangtze River Basin

Acceso

en l�nea

Zhenzhen Di, Miao Chang, Peikun Guo, Yang Li and Yin Chang

Most worldwide industrial wastewater, including in China, is still directly discharged to aquatic environments without adequate treatment. Because of a lack of data and few methods, the relationships between pollutants discharged in wastewater and those ... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: PP Num: Vol. 11, Iss. 6 Par: PP A�o: PP

Clustering of wind resource data for the South African renewable energy development zones

Acceso

en l�nea

Chantelle Y. Janse van Vuuren, Hendrik J. Vermeulen

This study investigates the use of clustering methodologies as a means of reducing spatio-temporal wind speed data into statistically representative classes of temporal profiles for further processing and interpretation. The clustering methodologies... ver m�s

Revista: Journal of Energy in Southern Africa Formato: Electr�nico

Tabla de contenido: Vol: 30 Num: 2 Par: 0 A�o: 2019

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