A Comprehensive Review on Blockchain-based Systems for Groundwater Conservation and Wastewater Management.
Groundwater conservation and wastewater management soil depletion, water pollution, and poor resource management. These problems underscore the need for innovative practices that leverage blockchain technology to enhance sustainability, maintain data integrity, and optimize resource utilization in w...
| Publicado en: | Environmental Management Vol. 75; no. 9; pp. 2225 - 2244 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187765500&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187765500 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0364152X O5H jtl: Environmental Management issn: 0364152X maglogo: N pubinfo: dt: Sep2025 vid: 75 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 187765500 187110355 10.1007/s00267-025-02247-6 187765500 ppf: 2225 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A Comprehensive Review on Blockchain-based Systems for Groundwater Conservation and Wastewater Management. aug: au: Mithal, Amit Thankachan, Blessy affil: https://ror.org/04hjsag95 Department of Engineering and Technology, JECRC University, 303905, Jaipur, Rajasthan, India sug: ab: Groundwater conservation and wastewater management soil depletion, water pollution, and poor resource management. These problems underscore the need for innovative practices that leverage blockchain technology to enhance sustainability, maintain data integrity, and optimize resource utilization in wastewater management. This review systematically analyzes recent advances (2019–2025) in blockchain technology, Machine Learning (ML), and Deep Learning (DL) models applied to sustainable water resource management. The objectives are to evaluate technological integrations, quantify performance improvements, and identify research gaps and future directions. Methodologies include a comprehensive review of 97 peer-reviewed articles focused on the integration of technology in water resource management. The review highlights benefits such as improved data validation, resource optimization, and transparency. Crucial applications include anomaly detection, groundwater recharge estimation, and regulatory compliance through blockchain-enabled secure data management. Technological contributions from smart sensors, internet of things-based real-time monitoring, Artificial Intelligence (AI)/ (ML) forecasting models, and advanced analytics collectively support more resilient and sustainable wastewater management practices. Key quantitative findings include predictive accuracy improvements up to 86%, wastewater treatment efficiency gains of 20%, and enhanced resource allocation through blockchain's decentralized frameworks. Despite these advances, challenges remain in data integration, scalability, and regulatory adoption, suggesting future research focus on integrating smart contracts, real-time monitoring systems, and internet of things-based governance frameworks to further enhance efficiency and compliance. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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