The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management

The effective management of water resources is essential to environmental stewardship and sustainable development. Traditional approaches to water resource management (WRM) struggle with real-time data acquisition, effective data analysis, and intelligent decision-making. To address these challenges...

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Published inResults in engineering Vol. 20; p. 101566
Main Authors Kamyab, Hesam, Khademi, Tayebeh, Chelliapan, Shreeshivadasan, SaberiKamarposhti, Morteza, Rezania, Shahabaldin, Yusuf, Mohammad, Farajnezhad, Mohammad, Abbas, Mohamed, Hun Jeon, Byong, Ahn, Yongtae
Format Journal Article
LanguageEnglish
Published Elsevier 01.12.2023
Subjects
Artificial intelligence
Big data analytics
Water demand forecasting
Water quality monitoring
Water resource management
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Abstract The effective management of water resources is essential to environmental stewardship and sustainable development. Traditional approaches to water resource management (WRM) struggle with real-time data acquisition, effective data analysis, and intelligent decision-making. To address these challenges, innovative solutions are required. Artificial Intelligence (AI) and Big Data Analytics (BDA) are at the forefront and have the potential to revolutionize the way water resources are managed. This paper reviews the current applications of AI and BDA in WRM, highlighting their capacity to overcome existing limitations. It includes the investigation of AI technologies, such as machine learning and deep learning, and their diverse applications to water quality monitoring, water allocation, and water demand forecasting. In addition, the review explores the role of BDA in the management of water resources, elaborating on the various data sources that can be used, such as remote sensing, IoT devices, and social media. In conclusion, the study synthesizes key insights and outlines prospective directions for leveraging AI and BDA for optimal water resource allocation.
AbstractList The effective management of water resources is essential to environmental stewardship and sustainable development. Traditional approaches to water resource management (WRM) struggle with real-time data acquisition, effective data analysis, and intelligent decision-making. To address these challenges, innovative solutions are required. Artificial Intelligence (AI) and Big Data Analytics (BDA) are at the forefront and have the potential to revolutionize the way water resources are managed. This paper reviews the current applications of AI and BDA in WRM, highlighting their capacity to overcome existing limitations. It includes the investigation of AI technologies, such as machine learning and deep learning, and their diverse applications to water quality monitoring, water allocation, and water demand forecasting. In addition, the review explores the role of BDA in the management of water resources, elaborating on the various data sources that can be used, such as remote sensing, IoT devices, and social media. In conclusion, the study synthesizes key insights and outlines prospective directions for leveraging AI and BDA for optimal water resource allocation.
ArticleNumber 101566
Author Ahn, Yongtae
Abbas, Mohamed
Yusuf, Mohammad
SaberiKamarposhti, Morteza
Farajnezhad, Mohammad
Kamyab, Hesam
Chelliapan, Shreeshivadasan
Rezania, Shahabaldin
Khademi, Tayebeh
Hun Jeon, Byong
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SSID ssj0002810137
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Snippet The effective management of water resources is essential to environmental stewardship and sustainable development. Traditional approaches to water resource...
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SubjectTerms Artificial intelligence
Big data analytics
Water demand forecasting
Water quality monitoring
Water resource management
Title The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management
URI https://doaj.org/article/146bebfc27af49559411924828bdba15
Volume 20
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