D. Ouazar

Seawater Intrusion in Coastal Aquifers — Concepts, Methods and Practices

Preface. List of Contributors. 1. Introduction J. Bear, A.H.-D. Cheng. 2. Geophysical Investigations M.T. Stewart. 3. Geochemical Investigations B.F. Jones, et al. 4. Exploitation, Restoration and Management J.C. van Dam. 5. Conceptual and Mathematical Modeling J. Bear. 6. Analytical Solutions A.H.-D. Cheng, D. Ouazar. 7. Steady Interface in Stratified Aquifers of Random Permeability Distribution G. Dagan, D.G. Zeitoun. 8. USGS SHARP Model H.I. Essaid. 9. USGS SUTRA Code - History, Practical Use, and Application in Hawaii C.I. Voss. 10. Three-Dimensional Model of Coupled Density-Dependent Flow and Miscible Salt Transport G. Gambolati, et al. 11. Modified Eulerian Lagrangian Method for Density Dependent Miscible Transport S. Sorek, et al. 12. Survey of Computer Codes and Case Histories S. Sorek, G.F. Pinder. 13. Seawater Intrusion in the United States L.F. Konikow, T.E. Reilly. 14. Impact of Sea Level Rise in the Netherlands G.H.P. Oude Essink. 15. Movement of Brackish Groundwater Near a Deep-Well Infiltration System in the Netherlands A. Stakelbeek. 16. A Semi-Empirical Approach to Intrusion Monitoring in Israeli Coastal Aquifer A.J. Melloul, D.G. Zeitoun. 17. Nile Delta Aquifer in Egypt M. Sherif. Bibliography. Index.

Pumping optimization in saltwater-intruded coastal aquifers.

This paper investigates the hydraulic issues of pumping well optimization in saltwater-intruded coastal aquifers. The well field includes freshwater outflow, pumping wells, and a recharge canal. The objective is to maximize the total pumping rate subject to the constraint of no intrusion of the saltwater front into the wells. Analytical solutions are presented for one-well, two-well, and one-well-with-recharge-canal problems. For problems involving multiple pumping wells, a structured messy genetic algorithm is used to search for the optimal solution.

Improved design of “Anytown” distribution network using structured messy genetic algorithms

Abstract The recently introduced Structured Messy Genetic Algorithm model for optimising water distribution network rehabilitation is expanded to include not only pipe rehabilitation decisions but also pumping installations and storage tanks as variables. The formulation of the model is detailed with two approaches presented for handling the design of storage within the system. The application of the model to the benchmark “Anytown” problem is used as an example of its capabilities, with cheaper designs being produced than any previously published.

Evolving neural network using real coded genetic algorithm for daily rainfall-runoff forecasting

This paper investigates the effectiveness of the genetic algorithm (GA) evolved neural network for rainfall-runoff forecasting and its application to predict the runoff in a catchment located in a semi-arid climate in Morocco. To predict the runoff at given moment, the input variables are the rainfall and the runoff values observed on the previous time period. Our methodology adopts a real coded GA strategy and hybrid with a back-propagation (BP) algorithm. The genetic operators are carefully designed to optimize the neural network, avoiding premature convergence and permutation problems. To evaluate the performance of the genetic algorithm-based neural network, BP neural network is also involved for a comparison purpose. The results showed that the GA-based neural network model gives superior predictions. The well-trained neural network can be used as a useful tool for runoff forecasting.

Coastal aquifer management : monitoring, modeling, and case studies

An Integrated Set of Modeling Codes to Support a Variety of Coastal Aquifer Modeling Approaches Effects of Nearshore Groundwater Circulation on Aerobic Biodegradation in Coastal Unconfined Aquifers Three-Dimensional Simulation of Seawater Intrusion in Heterogeneous Aquifers, with Applications to the Coastal Aquifer of Israel Integrating Surface and Borehole Geophysics in the Characterization of Salinity in a Coastal Aquifer Geophysical Investigations of Upward Migrating Saline Water from the Lower Floridian to the Upper Floridian Aquifer, Central Indian River Region, Florida Assessment of Saltwater Intrusion Risk at Mexihoeira Grade-Portimao Aquifer, by Indicator Geostatistics Saltwater Intrusion in Everglades National Park, Florida, Measured by Airborne Electromagnetic Surveys Modeling Seawater Intrusion in the Portorecanati Aquifer, Italy Leaky Coastal Margins, Tampa Bay and Crescent Beach, Florida Salt Water Intrusion at the Island of Texel, the Netherlands: A Numerical Study The Temporal and Spatial Distribution of Coastal Groundwater Seepage Alternatives to Injection Wells for Seawater Intrusion Control, Central and West Coast Groundwater Basins, Los Angeles County, California G.I.S. and Modeling for Studying Saltwater Intrusion in the Capoterra Alluvial Plain Uncertainty Analysis of Radionuclide Transport in a Fractured Coastal Aquifer with Geothermal Effects

Groundwater optimization and parameter estimation by genetic algorithm and dual reciprocity boundary element method

Genetic algorithms have been applied with great success in a number of fields as a tool for optimization. This paper explores their application in the groundwater field. The dual reciprocity boundary element method with global interpolation functions is employed as the computational tool. Two optimization problems are investigated: a pumping management problem in a homogeneous aquifer, and a parameter estimation problem in a heterogeneous aquifer. The initial findings about the effectiveness of the algorithms are encouraging.

Scheduling of water distribution system rehabilitation using structured messy genetic algorithms

A methodology is presented for the optimal design and scheduling of investment for the rehabilitation of water distribution networks. Based on the evolutionary programming technique known as Structured Messy Genetic Algorithms, the methodology utilizes a multi-objective formulation which improves the evolutionary process and provides non-dominated optimal solutions over a range of costs and benefits. The model is applied to an examplea small artificial network of fifteen pipes. The effects on the optimal solutions of varying parameters such as interest rate and inflation rate are also investigated.

BEM solution of stochastic seawater intrusion problems

Abstract In this paper, the stochastic saltwater–freshwater interface location in coastal aquifer is sought, subject to the uncertainty of input parameters such as hydraulic conductivity, freshwater outflow, and pumping rate. The boundary element method, combined with an optimization technique, is used as the tool for deterministic solution to search for the interface location. A second order perturbation technique is employed to find the statistical moments of the prediction. Three saltwater intrusion examples of different geometries are examined.

Global interpolation function based DRBEM applied to Darcy's flow in heterogeneous media

A global interpolation function based dual reciprocity BEM is used to solve Darcys flow in heterogeneous media. The governing equation of porous media flow is transformed into a Poisson-type equation with modified boundary conditions. The polynomial series based global interpolation functions are found to be efficient and accurate in converting the domain integral resulting from the Poisson equation into a boundary one. Numerical results are compared with known exact solutions.

NUMERICAL SIMULATION OF SHALLOW WATER WAVE PROPAGATION USING A BOUNDARY ELEMENT WAVE EQUATION MODEL

SUMMARY The present paper makes use of a wave equation formulation of the primitive shallow water equations to simulate one-dimensional free surface flow. A numerical formulation of the boundary element method is then developed to solve the wave continuity equation using a time-dependent fundamental solution, while an explicit finite difference scheme is used to derive velocities from the primitive momentum equation. One-dimensional free surface flows in open channels are treated and the results compared with analytical and numerical solutions.