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Thursday, July 30, 2020 | History

2 edition of Optimization of conjunctively managed surface and ground water resources by dynamic programming found in the catalog.

Optimization of conjunctively managed surface and ground water resources by dynamic programming

Gert Aron

Optimization of conjunctively managed surface and ground water resources by dynamic programming

by Gert Aron

  • 73 Want to read
  • 31 Currently reading

Published by Dept. of Water Science and Engineering, University of California in Davis .
Written in English

    Subjects:
  • Water resources development -- Mathematical models.

  • Edition Notes

    Other titlesOptimization of conjunctively managed surface and ground water resources ...
    Statementby Gert Aron.
    SeriesContribution - University of California, Water Resources Center ; no. 129, Contribution (University of California (System). Water Resources Center) ;, no. 129.
    Classifications
    LC ClassificationsGB705.C2 C27 no. 129, TC409 C27 no. 129
    The Physical Object
    Pagination231 p. in various pagings, [1] fold. leaf of plates :
    Number of Pages231
    ID Numbers
    Open LibraryOL5242847M
    LC Control Number75314423

    The MODFLOW One-Water Hydrologic Flow Model (MF-OWHM; Boyce and others, ; Hanson and others, ) is a MODFLOW based integrated hydrologic model designed for the analysis of conjunctive-use management. The term “integrated” refers to the tight coupling of groundwater flow, surface-water flow, landscape processes, aquifer compaction and subsidence, reservoir operations, . Conjunctive use (CU) of surface and groundwater resources has long been recognized as essential for integrated water management (Buras ; Burt ; Coe ). CU implies the coordinated management and use of surface and groundwater resources, taking advantage of their complementary properties.

      The authors applied the water value method, a variant of stochastic dynamic programming, to optimize water resources management in the Ziya River basin. Natural runoff from the upper basin was estimated with a rainfall-runoff model autocalibrated using in . The optimal operation of a reservoir system for efficient utilization of both surface and groundwater resources conjunctively requires knowledge of reservoir process and infield process. This knowledge facilitates to arrive at decisions on reservoir operation and cropping pattern by use of optimization models. These are characterized by.

      Groundwater Hydrology: Engineering, Planning, and Management, Second Edition presents a compilation of the state-of-the-art subjects and techniques in the education and practice of groundwater and describes them in a systematic and integrated fashion useful for undergraduate and graduate students and practitioners. Downloadable (with restrictions)! This study develops an optimization model for the large-scale conjunctive use of surface water and groundwater resources. The aim is to maximize public and irrigation water supplies subject to groundwater-level drawdown constraints. Linear programming is used to create the optimization model, which is formulated as a linear constrained objective function.


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Optimization of conjunctively managed surface and ground water resources by dynamic programming by Gert Aron Download PDF EPUB FB2

Optimization of conjunctively managed surface and ground water resources by dynamic programming. [Gert Aron] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Contacts Print book: State or province government publication.

This paper focuses on the simulation-optimization for conjunctive use of surface water and groundwater on a basin-wide scale, the Najafabad plain in west-central Iran.

A trained artificial neural. Optimization of conjunctively managed surface and groundwater resources by dynamic programming. Contribution No. Water Resources Cent er, University of California, California, USA.

Conjunctive use modeling of surface water an d ground water has wide applications in water resources management, ecology, eco-hydrology and agricultural water management.

Karamouz et al. () proposed a simulation-based dynamic programming optimization model for conjunctive surface water and groundwater planning and management in Iran. Management objectives of minimization of irrigation water supply shortages and pumping costs, and control of average groundwater table fluctuations were by: 5.

a mathematical model is presented as a tool in facilitating the analysis and optimisation of the conjunctive use of surface and ground water resources of a subsystem of the indus basin irrigation.

Water Resour Manage () – DOI /sz Simulation-Optimization Modeling of Conjunctive Use of Surface Water and Groundwater. When one portion of the water resources is surface flow and the other is ground water, optimal management requires the conjunctive use of both resources.

Water resources administrative is often implemented by both regional and local authorities which are related in some hierarchical manner. In the present paper, a simple economic-engineering optimization model is presented to explore the possibilities of conjunctive use of surface and groundwater using linear programming with various hydrological and management constraints, and to arrive at an optimal cropping pattern for optimal use of water resources for maximization of net benefits.

A simple economic-engineering optimization model is presented, to explore the potential of conjunctive use of surface and groundwater resources using linear programming with various hydrological and management constraints, and to arrive at an optimal cropping pattern for optimal use of water resources for maximization of net benefits.

increasing groundwater extraction in drought situations and/or groundwater table is replenished by surface water when surface water is abundant, whereby shortages are somehow compensated for by appropriate utilization and proper management of both surface and ground water resources [35].

Fig. Nekouabad and Khamiran irrigation channels 3. Hamid R. Safavi, Mohammad A. Alijanian, Optimal Crop Planning and Conjunctive Use of Surface Water and Groundwater Resources Using Fuzzy Dynamic Programming, Journal of Irrigation and Drainage Engineering, /(ASCE)IR,6, (), ().

This paper focuses on the simulation-optimization for conjunctive use of surface water and groundwater on a basin-wide scale, the Najafabad plain in west-central Iran. A trained artificial neural network model is developed as a simulator of surface water and groundwater interaction while a genetic algorithm is developed as the optimization model.

1. Introduction Rationale. The sustainability of water resources is a critical issue against the backdrop of rising water demand for agricultural, industrial, and domestic uses as the world needs about 60% more food to feed the billion people in (United Nations, ).The issue has become more challenging in the light of shrinking water resources (Singh and Panda, a) due to.

Due to the development of advanced digital computer and optimization technique, later, a dynamic programming model (Aron ) developed to determine the optimum allocation of surface water and groundwater.

Aron G () Optimization of conjunctively managed surface and groundwater resources by dynamic programming. Water Resources Center Contribution vol University of California pp Austin EJ, Willock J, Deary IJ, Gibson GJ, Dent JB, Edwards JG, Morgan O, Grieve R, Sutherland A () Empirical models of farmer behaviour using psychological.

Water resources sustainability is a worldwide concern because of climate variability, growing population, and excessive groundwater exploitation in order to meet freshwater demand. Addressing these conflicting challenges sometimes can be aided by using both simulation and mathematical optimization tools.

This study combines a groundwater-flow simulation model and two optimization models to. This study develops the water resources management model for conjunctive use of surface and subsurface water using a fuzzy inference system (FIS). The study applies the FIS to allocate the demands of surface and subsurface water.

Subsequently, water allocations in the surface water system are simulated by using linear programming techniques, and the responses of subsurface water. Classical optimization methods that are used in planning the management of surface water and groundwater resources include: linear programming [43–45], non-linear programming [46,47], dynamic programming [48,49], and hierarchical or multilevel optimization [50,51].

Systems. Later, Yang et al. () developed a multi-objective management model by integrating a genetic algorithms (GA), constrained differential dynamic programming, and a groundwater simulation model that consider fixed cost and time-varying operating cost associated with conjunctive use of surface water and groundwater resources.

The integrated. (). Optimization of conjunctively managed surface and ground water resources by dynamic programming, (). Simulation/optimization modeling for water resources management. (). System analysis in ground water planning and management. ().Surface and groundwater are related systems.

They can be used conjunctively to maximize the efficient use of available resources. Groundwater may be used to supplement surface water to cope with the irrigation demands to meet the defi- cits in low rainfall periods.Andreu J, Capilla J () Optimization and simulation models applied to the Segura water resources system.

In: Marco JB, Harboe R, Salas JD (eds) Stochastic Hydrology and its use in Water Resources Systems Simulation and Optimization. Kluwer, Dordrecht, pp – Google Scholar.