Estimation of Water Turbidity in Drinking Water Treatment Plants Using Machine Learning Based on Water and Meteorological Data

Author:

Fernandez Alvarez Vanessa1ORCID,Granada Salazar Daniela1ORCID,Figueroa Cristhian1ORCID,Corrales Juan Carlos1ORCID,Casanova Juan Fernando1ORCID

Affiliation:

1. Department of Telematics, University of Cauca, Popayan 190002, Colombia

Publisher

MDPI

Reference13 articles.

1. Assessment of physical and chemical indicators on water turbidity;Miljojkovic;Phys. A Stat. Mech. Its Appl.,2019

2. World Health Organization (2023, January 10). Water quality and health-review of turbidity: Information for regulators and water suppliers, Available online: https://apps.who.int/iris/handle/10665/254631.

3. Ministerio de Ambiente, Vivienda y Desarrollo Territorial Y Ministerio de Protección Social (2023, January 10). Decreto no 2115 de 2007. (June 2007), Available online: https://minvivienda.gov.co/sites/default/files/normativa/2115%20-%202007.pdf.

4. Marimon, W., Jimenez, N., Jiménez, C., Chavarro, J., and Domínguez, E. (2021). Comparative Analysis of Water Quality Indices and Their Relationship with Anthropogenic Activities, Case Study: Bogotá River. Res. Square.

5. García-Rentería, F.-F., Nieto, G.A.C., and Cortez, G.H. (2023). Evaluation of wastewater discharge reduction scenarios in the Buenaventura Bay. Water, 15.

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