Big Data Analytics from a Wastewater Treatment Plant

Wastewater treatment plants (WWTPs) use considerable workforces and resources to meet the regulatory limits without mistakes. The advancement of information technology allowed for collecting large amounts of data from various sources using sophisticated sensors. Due to the lack of specialized tools...

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Autores principales:	Praewa Wongburi, Jae K. Park
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	big data wastewater treatment plant data analytics statistical analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/c5eae95544584ba0bbd2c8d49ec25dec
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id	oai:doaj.org-article:c5eae95544584ba0bbd2c8d49ec25dec
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spelling	oai:doaj.org-article:c5eae95544584ba0bbd2c8d49ec25dec2021-11-25T19:00:38ZBig Data Analytics from a Wastewater Treatment Plant10.3390/su1322123832071-1050https://doaj.org/article/c5eae95544584ba0bbd2c8d49ec25dec2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12383https://doaj.org/toc/2071-1050Wastewater treatment plants (WWTPs) use considerable workforces and resources to meet the regulatory limits without mistakes. The advancement of information technology allowed for collecting large amounts of data from various sources using sophisticated sensors. Due to the lack of specialized tools and knowledge, operators and engineers cannot effectively extract meaningful and valuable information from large datasets. Unfortunately, the data are often stored digitally and then underutilized. Various data analytics techniques have been developed in the past few years. The methods are efficient for analyzing vast datasets. However, there is no wholly developed study in applying these techniques to assist wastewater treatment operation. Data analytics processes can immensely transform a large dataset into informative knowledge, such as hidden information, operational problems, or even a predictive model. The use of big data analytics will allow operators to have a much clear understanding of the operational status while saving the operation and maintenance costs and reducing the human resources required. Ultimately, the method can be applied to enhance the operational performance of the wastewater treatment infrastructure.Praewa WongburiJae K. ParkMDPI AGarticlebig datawastewater treatment plantdata analyticsstatistical analysisEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12383, p 12383 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	big data wastewater treatment plant data analytics statistical analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	big data wastewater treatment plant data analytics statistical analysis Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Praewa Wongburi Jae K. Park Big Data Analytics from a Wastewater Treatment Plant
description	Wastewater treatment plants (WWTPs) use considerable workforces and resources to meet the regulatory limits without mistakes. The advancement of information technology allowed for collecting large amounts of data from various sources using sophisticated sensors. Due to the lack of specialized tools and knowledge, operators and engineers cannot effectively extract meaningful and valuable information from large datasets. Unfortunately, the data are often stored digitally and then underutilized. Various data analytics techniques have been developed in the past few years. The methods are efficient for analyzing vast datasets. However, there is no wholly developed study in applying these techniques to assist wastewater treatment operation. Data analytics processes can immensely transform a large dataset into informative knowledge, such as hidden information, operational problems, or even a predictive model. The use of big data analytics will allow operators to have a much clear understanding of the operational status while saving the operation and maintenance costs and reducing the human resources required. Ultimately, the method can be applied to enhance the operational performance of the wastewater treatment infrastructure.
format	article
author	Praewa Wongburi Jae K. Park
author_facet	Praewa Wongburi Jae K. Park
author_sort	Praewa Wongburi
title	Big Data Analytics from a Wastewater Treatment Plant
title_short	Big Data Analytics from a Wastewater Treatment Plant
title_full	Big Data Analytics from a Wastewater Treatment Plant
title_fullStr	Big Data Analytics from a Wastewater Treatment Plant
title_full_unstemmed	Big Data Analytics from a Wastewater Treatment Plant
title_sort	big data analytics from a wastewater treatment plant
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c5eae95544584ba0bbd2c8d49ec25dec
work_keys_str_mv	AT praewawongburi bigdataanalyticsfromawastewatertreatmentplant AT jaekpark bigdataanalyticsfromawastewatertreatmentplant
_version_	1718410430002495488

Big Data Analytics from a Wastewater Treatment Plant

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