Machine learning techniques in river water quality modelling: a research travelogue

Water is a prime necessity for the survival and sustenance of all living beings. Over the past few years, the water quality of rivers has been adversely affected due to harmful wastes and pollutants. This ever-increasing water pollution is a matter of great concern as it is deteriorating the water q...

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Autores principales:	Sakshi Khullar, Nanhey Singh
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	machine learning river water quality water quality evaluation water quality prediction Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/9233f6b0de6645f3a1ee4863c50a2fe9
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spelling	oai:doaj.org-article:9233f6b0de6645f3a1ee4863c50a2fe92021-11-06T07:05:09ZMachine learning techniques in river water quality modelling: a research travelogue1606-97491607-079810.2166/ws.2020.277https://doaj.org/article/9233f6b0de6645f3a1ee4863c50a2fe92021-02-01T00:00:00Zhttp://ws.iwaponline.com/content/21/1/1https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Water is a prime necessity for the survival and sustenance of all living beings. Over the past few years, the water quality of rivers has been adversely affected due to harmful wastes and pollutants. This ever-increasing water pollution is a matter of great concern as it is deteriorating the water quality, making it unfit for any type of use. Contaminated water resources can cause serious effects on humans as well as aquatic life. Hence, water quality monitoring of reservoirs is essential. Recently, water quality modelling using AI techniques has generated a lot of interest and it can be very beneficial in ecological and water resources management. This paper presents the state-of-the-art application of machine learning techniques in forecasting river water quality. It highlights the different key techniques, advantages, disadvantages, and applications with respect to monitoring the river water quality. The review also intends to find the existing challenges and opportunities for future research.Sakshi KhullarNanhey SinghIWA Publishingarticlemachine learningriver water qualitywater quality evaluationwater quality predictionWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	machine learning river water quality water quality evaluation water quality prediction Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	machine learning river water quality water quality evaluation water quality prediction Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Sakshi Khullar Nanhey Singh Machine learning techniques in river water quality modelling: a research travelogue
description	Water is a prime necessity for the survival and sustenance of all living beings. Over the past few years, the water quality of rivers has been adversely affected due to harmful wastes and pollutants. This ever-increasing water pollution is a matter of great concern as it is deteriorating the water quality, making it unfit for any type of use. Contaminated water resources can cause serious effects on humans as well as aquatic life. Hence, water quality monitoring of reservoirs is essential. Recently, water quality modelling using AI techniques has generated a lot of interest and it can be very beneficial in ecological and water resources management. This paper presents the state-of-the-art application of machine learning techniques in forecasting river water quality. It highlights the different key techniques, advantages, disadvantages, and applications with respect to monitoring the river water quality. The review also intends to find the existing challenges and opportunities for future research.
format	article
author	Sakshi Khullar Nanhey Singh
author_facet	Sakshi Khullar Nanhey Singh
author_sort	Sakshi Khullar
title	Machine learning techniques in river water quality modelling: a research travelogue
title_short	Machine learning techniques in river water quality modelling: a research travelogue
title_full	Machine learning techniques in river water quality modelling: a research travelogue
title_fullStr	Machine learning techniques in river water quality modelling: a research travelogue
title_full_unstemmed	Machine learning techniques in river water quality modelling: a research travelogue
title_sort	machine learning techniques in river water quality modelling: a research travelogue
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/9233f6b0de6645f3a1ee4863c50a2fe9
work_keys_str_mv	AT sakshikhullar machinelearningtechniquesinriverwaterqualitymodellingaresearchtravelogue AT nanheysingh machinelearningtechniquesinriverwaterqualitymodellingaresearchtravelogue
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Machine learning techniques in river water quality modelling: a research travelogue

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