Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications

被引:3
|
作者
Jayakumar, Drisya [1 ]
Bouhoula, Adel [2 ]
Al-Zubari, Waleed Khalil [1 ]
机构
[1] Arabian Gulf Univ, Ctr Environm & Biol Studies, POB 26671, Manama 329, Bahrain
[2] Arabian Gulf Univ, Informat Technol Dept, POB 26671, Manama 329, Bahrain
关键词
sustainable management; water supply; water demand; review; monitoring; prediction; controlling; NEURAL-NETWORK; PREDICTION; ALGORITHM; HYDROLOGY; FLOOD; MODEL;
D O I
10.3390/w16223328
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Assessing diverse parameters like water quality, quantity, and occurrence of hydrological extremes and their management is crucial to perform efficient water resource management (WRM). A successful WRM strategy requires a three-pronged approach: monitoring historical data, predicting future trends, and taking controlling measures to manage risks and ensure sustainability. Artificial intelligence (AI) techniques leverage these diverse knowledge fields to a single theme. This review article focuses on the potential of AI in two specific management areas: water supply-side and demand-side measures. It includes the investigation of diverse AI applications in leak detection and infrastructure maintenance, demand forecasting and water supply optimization, water treatment and water desalination, water quality monitoring and pollution control, parameter calibration and optimization applications, flood and drought predictions, and decision support systems. Finally, an overview of the selection of the appropriate AI techniques is suggested. The nature of AI adoption in WRM investigated using the Gartner hype cycle curve indicated that the learning application has advanced to different stages of maturity, and big data future application has to reach the plateau of productivity. This review also delineates future potential pathways to expedite the integration of AI-driven solutions and harness their transformative capabilities for the protection of global water resources.
引用
收藏
页数:31
相关论文
共 50 条
  • [41] Applications of Artificial Intelligence in Clean Sustainable Energy System Support
    El-Emary, Ibrahim M. M.
    Abdullah, Hassan Abdullah Alqarni
    Alqahtani, Mohmmed
    Alqahtani, Faisal Ahmed
    BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 2020, 13 (04): : 1981 - 1985
  • [42] Is artificial intelligence the new kid on the block? Sustainable applications in cardiology
    Strangio, Antonio
    Leo, Isabella
    Sabatino, Jolanda
    Brida, Margarita
    Siracusa, Chiara
    Carabetta, Nicole
    Zaffino, Paolo
    Critelli, Claudia
    Laschera, Alessandro
    Spadea, Maria Francesca
    Torella, Daniele
    Sabouret, Pierre
    De Rosa, Salvatore
    VESSEL PLUS, 2024, 8
  • [43] Applications of Artificial Intelligence in Wheat Breeding for Sustainable Food Security
    Mushtaq, Muhammad Ahtasham
    Ahmed, Hafiz Ghulam Muhu-Din
    Zeng, Yawen
    SUSTAINABILITY, 2024, 16 (13)
  • [44] Artificial intelligence model for water resources management
    Tang, H. W.
    Lei, Y.
    Lin, B.
    Zhou, Y. L.
    Gu, Z. H.
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2010, 163 (04) : 175 - 187
  • [45] Unlocking the potential of green-engineered carbon quantum dots for sustainable packaging biomedical applications and water purification
    Esmaeili, Yasaman
    Toiserkani, Farzad
    Qazanfarzadeh, Zeinab
    Ghasemlou, Mehran
    Naebe, Minoo
    Barrow, Colin J.
    Timms, Wendy
    Jafarzadeh, Shima
    ADVANCES IN COLLOID AND INTERFACE SCIENCE, 2025, 338
  • [46] Unlocking the potential of digital technologies for sustainable supply chain management strategies
    Mubarik, Muhammad Shujaat
    Khan, Sharfuddin Ahmed
    Gunasekaran, Angappa
    Mubarik, Mobashar
    SUPPLY CHAIN FORUM, 2024,
  • [47] Potential Applications of Explainable Artificial Intelligence to Actuarial Problems
    Lozano-Murcia, Catalina
    Romero, Francisco P.
    Serrano-Guerrero, Jesus
    Peralta, Arturo
    Olivas, Jose A.
    MATHEMATICS, 2024, 12 (05)
  • [48] Towards effective restriction of unhealthy food marketing to children: unlocking the potential of artificial intelligence
    Olstad, Dana Lee
    Boyland, Emma
    INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2023, 20 (01)
  • [49] Towards effective restriction of unhealthy food marketing to children: unlocking the potential of artificial intelligence
    Dana Lee Olstad
    Emma Boyland
    International Journal of Behavioral Nutrition and Physical Activity, 20
  • [50] The Potential Applications of Artificial Intelligence in Drug Discovery and Development
    Farghali, Hassan
    Kutinova Canova, Nikolina
    Arora, Mahak
    PHYSIOLOGICAL RESEARCH, 2021, 70 : S715 - S722