Interactive computer graphics-based multiobjective decision-making for regional groundwater management

Datta, Bithin; Peralta, Richard C.

doi:10.1016/0378-3774(86)90023-5

Cited by 30 publications

(5 citation statements)

References 6 publications

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“…AI-based decision support systems optimize groundwater extraction strategies by considering factors like crop water requirements, weather forecasts, and aquifer conditions. These systems recommend optimal pumping schedules to minimize over-extraction [38]. AI tools assist in determining the most effective allocation of water resources based on demand, availability, and environmental considerations.…”

Section: Ai Applications In Groundwater Managementmentioning

confidence: 99%

Harmony in Hydroinformatics: Integrating AI and IEC for sustainable groundwater conservation in Solapur

Mustaq Shaikh,

Farjana Birajdar

2024

Int. J. Sci. Res. Arch.

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This research investigates the synergistic potential of artificial intelligence (AI) and Information Education and Communication (IEC) in the context of groundwater conservation for Solapur, a region participating in the Atal Bhujal Yojana. The primary objective is to assess the effectiveness of integrating AI technologies with community-centric education strategies to enhance water management practices. The methodology involves a comprehensive review of the Atal Bhujal Yojana, exploration of AI applications in global water management, and the formulation of strategies for AI-IEC integration. Key findings highlight the pivotal role of community engagement, the diverse applications of AI in water management, and the significance of IEC in shaping sustainable behaviors. Challenges and solutions, case studies, and future prospects are examined to provide a comprehensive overview. The implications of this research extend to the development of resilient water ecosystems, emphasizing the importance of collaborative efforts and forward-thinking solutions. This interdisciplinary approach positions Solapur as a model for effective groundwater conservation, leveraging technological advancements and community participation for a water-secure future.

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Section: Ai Applications In Groundwater Managementmentioning

confidence: 99%

Harmony in Hydroinformatics: Integrating AI and IEC for sustainable groundwater conservation in Solapur

Mustaq Shaikh,

Farjana Birajdar

2024

Int. J. Sci. Res. Arch.

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“…The two-objective optimization model is solved using the constrained method [32]. In the constrained method, one of the objective functions (F1) is maximized, constraining the minimum level of satisfaction of the second objective function (F2) as shown in Equation ( 6)…”

Section: Multi-objective Optimization Algorithm For Monitoring Networ...mentioning

confidence: 99%

Integrated Sequential Groundwater Contaminant Source Characterization and Pareto-Optimal Monitoring Network Design Application for a Contaminated Aquifer Site

Esfahani¹,

Heggie²,

Datta³

2022

JWARP

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Accurate and reliable groundwater contaminant source characterization with limited contaminant concentration monitoring measurement data remains a challenging problem. This study presents an illustrative application of developed methodologies to a real-life contaminated aquifer. The source characterization and optimal monitoring network design methodologies are used sequentially for a contaminated aquifer site located in New South Wales, Australia. Performance of the integrated optimal source characterization methodology combining linked simulation-optimization, fractal singularity mapping technique (FSMT) and Pareto optimal solutions is evaluated. This study presents an integrated application of optimal source characterization with spatiotemporal concentration measurement data obtained from sequentially designed monitoring networks. The proposed sequential source characterization and monitoring network design methodology shows efficiency in identifying the unknown source characteristics. The designed monitoring network achieves comparable efficiency and accuracy utilizing much smaller number of monitoring locations as compared to a more ideal scenario where concentration measurements from a very large number of widespread monitoring wells are available. The proposed methodology is potentially useful for efficient characterization of unknown contaminant sources in a complex contaminated aquifer site, where very little initial concentration measurement data are available. The illustrative application of the methodology to a real-life contaminated aquifer site demonstrates the capability and efficiency of the proposed methodology.

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“…The constraints were response equations, well capacities, hydraulic gradients, lower bounds on heads and water demands. Datta & Peralta (1986) applied surrogate worth trade-off method of multiple objective programming to conjunctive groundwater and surface water management. They presented a set of interactive, computer graphics-based procedures in relation to surrogate worth trade-off method to select a single strategy from a nondominated set of solutions.…”

Section: Application Of Multiple Objective Mathematical Programmingmentioning

confidence: 99%

Application of optimisation techniques in groundwater quantity and quality management

Das

Datta

2001

Sadhana

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This paper presents the state-of-the-art on application of optimisation techniques in groundwater quality and quantity management. In order to solve optimisation-based groundwater management models, researchers have used various mathematical programming techniques such as linear programming (LP), nonlinear programming (NLP), mixed-integer programming (MIP), optimal control theory-based mathematical programming, differential dynamic programming (DDP), stochastic programming (SP), combinatorial optimisation (CO), and multiple objective programming for multipurpose management. Studies reported in the literature on the application of these methods are reviewed in this paper.

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Interactive computer graphics-based multiobjective decision-making for regional groundwater management

Cited by 30 publications

References 6 publications

Harmony in Hydroinformatics: Integrating AI and IEC for sustainable groundwater conservation in Solapur

Harmony in Hydroinformatics: Integrating AI and IEC for sustainable groundwater conservation in Solapur

Integrated Sequential Groundwater Contaminant Source Characterization and Pareto-Optimal Monitoring Network Design Application for a Contaminated Aquifer Site

Application of optimisation techniques in groundwater quantity and quality management

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