6 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

Multi-Perspectives? Comparisons and Mitigating Implications for the COD and NH3-N Discharges into the Wastewater from the Industrial Sector of China

Acceso

en l�nea

Junsong Jia, Huiyong Jian, Dongming Xie, Zhongyu Gu, Chundi Chen P�g. 1 - 18

Taking China as a case study, we analyzed the underlying driving forces of two discharges?chemical oxygen demand (COD) and ammonia nitrogen (NH3-N)?from both periodic and structural perspectives by the Logarithmic Mean Divisia Index (LMDI) method. Change... ver m�s

Revista: Water Formato: Electr�nico

Tabla de contenido: Vol: 9 Num: 3 Par: 0 A�o: 2017

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