Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area A

At present, the construction and management efficiency of water conservancy projects is low, hydrological prediction errors are common, and the utilization rate of water resources is low. Based on this, this paper applies data mining technology and intelligent information technology to water conserv...

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Main Authors: Zeyou Chen, Jiaojiao Xu, Yunhui Ma, Zheyuan Zhang
Format: Article
Language:English
Published: IWA Publishing 2023-08-01
Series:Water Supply
Subjects:
Online Access:http://ws.iwaponline.com/content/23/8/3285
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author Zeyou Chen
Jiaojiao Xu
Yunhui Ma
Zheyuan Zhang
author_facet Zeyou Chen
Jiaojiao Xu
Yunhui Ma
Zheyuan Zhang
author_sort Zeyou Chen
collection DOAJ
description At present, the construction and management efficiency of water conservancy projects is low, hydrological prediction errors are common, and the utilization rate of water resources is low. Based on this, this paper applies data mining technology and intelligent information technology to water conservancy project management. This will help to better study the construction and management of hydraulic projects. By adopting data mining technology, valuable data in hydraulic engineering can be extracted and analyzed. Through careful analysis and evaluation of the data, we can predict the runoff of reservoir hydrology in Area A. The experimental results show that the data mining technology can be used to predict the runoff of Reservoir A from January to December 2020. In addition, using machine learning techniques to make predictions, the prediction error rate varies by 6.2%. The research shows that the use of data mining technology can improve the efficiency of water conservancy project construction and management, and improve the utilization rate of the project. HIGHLIGHTS This paper proposes to apply data mining technology and intelligent information technology to water conservancy project management.; The experimental results show that the runoff of Reservoir A from January to December 2020 can be predicted by using data mining technology.; The research shows that the use of data mining technology can improve the efficiency of water conservancy project construction and management, and improve the utilization rate of the project.;
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spelling doaj.art-e9e4669bfdba4195979af826de5ff12d2023-09-09T08:44:52ZengIWA PublishingWater Supply1606-97491607-07982023-08-012383285329610.2166/ws.2023.169169Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area AZeyou Chen0Jiaojiao Xu1Yunhui Ma2Zheyuan Zhang3 School of Civil Engineering, Architecture, Environment, Xihua University, Chengdu, Sichuan 610039, China School of Civil Engineering, Architecture, Environment, Xihua University, Chengdu, Sichuan 610039, China School of Emergency Science, Xihua University, Chengdu, Sichuan 610039, China School of Civil Engineering, Architecture, Environment, Xihua University, Chengdu, Sichuan 610039, China At present, the construction and management efficiency of water conservancy projects is low, hydrological prediction errors are common, and the utilization rate of water resources is low. Based on this, this paper applies data mining technology and intelligent information technology to water conservancy project management. This will help to better study the construction and management of hydraulic projects. By adopting data mining technology, valuable data in hydraulic engineering can be extracted and analyzed. Through careful analysis and evaluation of the data, we can predict the runoff of reservoir hydrology in Area A. The experimental results show that the data mining technology can be used to predict the runoff of Reservoir A from January to December 2020. In addition, using machine learning techniques to make predictions, the prediction error rate varies by 6.2%. The research shows that the use of data mining technology can improve the efficiency of water conservancy project construction and management, and improve the utilization rate of the project. HIGHLIGHTS This paper proposes to apply data mining technology and intelligent information technology to water conservancy project management.; The experimental results show that the runoff of Reservoir A from January to December 2020 can be predicted by using data mining technology.; The research shows that the use of data mining technology can improve the efficiency of water conservancy project construction and management, and improve the utilization rate of the project.;http://ws.iwaponline.com/content/23/8/3285construction and management of water conservancy projectdata miningintelligent information technologymachine learningtraditional management methods
spellingShingle Zeyou Chen
Jiaojiao Xu
Yunhui Ma
Zheyuan Zhang
Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area A
Water Supply
construction and management of water conservancy project
data mining
intelligent information technology
machine learning
traditional management methods
title Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area A
title_full Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area A
title_fullStr Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area A
title_full_unstemmed Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area A
title_short Application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in Area A
title_sort application of data mining technology and intelligent information technology in the construction and management of the water conservancy project in area a
topic construction and management of water conservancy project
data mining
intelligent information technology
machine learning
traditional management methods
url http://ws.iwaponline.com/content/23/8/3285
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