Application of genetic algorithm for the groundwater management of a coastal aquifer

doi:10.1080/09715010.2017.1378597

Home
/
Papers
/
Application of genetic algorithm for the groundwater management of a coastal aquifer

Journal Article•DOI•

Application of genetic algorithm for the groundwater management of a coastal aquifer

S. K. Pramada¹, S. Mohan¹, P. K. Sreejith¹•Institutions (1)

Indian Institute of Technology Madras¹

04 May 2018-ISH Journal of Hydraulic Engineering (Taylor & Francis)-Vol. 24, Iss: 2, pp 124-130

TL;DR: In this paper, a simulation optimization model based on a 3D groundwater model and genetic algorithm was developed and applied to a case study, for the case study system of South Chennai Aquifer System where significant amount of groundwater is being pumped for domestic consumption.

read less

Abstract: Drinking water wells close to coastal areas getting contaminated groundwater can be minimized by developing an optimal pumping strategy of pumping, both in space and time Groundwater management problems are solved in a more efficient way by combining simulation and optimization in a single framework Simulation–optimization-based development of the groundwater system is required, to reduce the risk of pumping contaminated water This paper presents a study where a simulation–optimization model based on a 3D groundwater model and genetic algorithm was developed and applied to a case study A 3D groundwater model has been developed, for the case study system of South Chennai Aquifer System where significant amount of groundwater is being pumped for domestic consumption The calibrated groundwater model was used as the simulation component in the linked simulation–optimization model The combined model was then used to identify the optimum pumping strategy

...read moreread less

Citations

PDF

Open Access

More filters

Journal Article•DOI•

Optimal allocation of agricultural land for crop planning in Hirakud canal command area using swarm intelligence techniques

[...]

Ashutosh Rath¹, Prakash Chandra Swain¹•Institutions (1)

Veer Surendra Sai University of Technology¹

02 Jan 2021-ISH Journal of Hydraulic Engineering

TL;DR: The results reveal that the net economic return arrived at by adopting the optimal cropping pattern derived with the use of PSO works out to be 230.120 Billion Rupees, whereas it is 132.2 billion Rupees from the prevailing crop pattern adopted by farmers.

...read moreread less

Abstract: The present study investigates the prevailing cropping pattern, adopted by the farmers of the study area under consideration It aims at improving the net benefits from the farming activities with

...read moreread less

6 citations

Journal Article•DOI•

Insight into sea water intrusion due to pumping: a case study of Ernakulam coast, India

[...]

S. K. Pramada¹, K. P. Minnu¹, Thendiyath Roshni²•Institutions (2)

National Institute of Technology Calicut¹, National Institute of Technology, Patna²

02 Oct 2021-ISH Journal of Hydraulic Engineering

TL;DR: Extensive groundwater extraction and rise in sea level in coastal aquifers leads to saline water intrusion and contamination of groundwater. It requires practical measures to protect the available water as mentioned in this paper. But these measures are difficult to implement.

...read moreread less

Abstract: Extensive groundwater extraction and rise in sea level in coastal aquifers leads to saline water intrusion and contamination of groundwater. It requires practical measures to protect the available ...

...read moreread less

5 citations

Proceedings Article•DOI•

Developing Four Metaheuristic Algorithms for Multiple-Objective Management of Groundwater

[...]

Hamdy A. El-Ghandour¹, Emad Elbeltagi¹•Institutions (1)

Mansoura University¹

01 Oct 2018

TL;DR: Four multi-objective metaheuristic algorithms with new evolution strategy are introduced and compared for the optimal management of groundwater and the ability of the developed algorithms to accurately find the Pareto-optimal solutions is proved and thus the potential application on real-life groundwater management problems is proved.

...read moreread less

Abstract: Groundwater is one of the important sources of freshwater and accordingly, there is a need for optimizing its usage. In this paper, four multi-objective metaheuristic algorithms with new evolution strategy are introduced and compared for the optimal management of groundwater namely: Multi-objective genetic algorithms (MOGA), multi-objective memetic algorithms (MOMA), multi-objective particle swarm optimization (MOPSO), and multi-objective shuffled frog leaping algorithm (MOSFLA). The suggested evolution process is based on determining a unique solution of the Pareto solutions called the Pareto-compromise (PC) solution. The advantages of the current development stem from: 1) The new multiple objectives evolution strategy is inspired from the single objective optimization, where fitness calculations depend on tracking the PC solution only through the search history; 2) a comparison among the performance of the four algorithms is introduced. The development of each algorithm is briefly presented. A comparison study is carried out among the formulation and the results of the four algorithms. The developed four algorithms are tested on two multiple-objective optimization benchmark problems. The four algorithms are then used to optimize two-objective groundwater management problem. The results prove the ability of the developed algorithms to accurately find the Pareto-optimal solutions and thus the potential application on real-life groundwater management problems.

...read moreread less

2 citations

Journal Article•DOI•

Genetic Algorithm in Multimedia Dynamic Prediction of Groundwater in Open-Pit Mine

[...]

Runting Zhang, Shuzhao Chen, Zhouai Zhang, Wencheng Zhu

27 May 2022-Computational Intelligence and Neuroscience

TL;DR: The genetic algorithm optimized by genetic algorithm is obviously superior to the BP neural network model, which is an ideal prediction model for short-term groundwater level and has a good application prospect.

...read moreread less

Abstract: This study is aiming at the nonlinear mapping relationship between the groundwater level and its influencing factors. Through the design and calculation process of matlab7 platform, taking the monitoring wells distributed in an open-pit mining area as an example, the short-term prediction of groundwater dynamics in the study area is carried out by using BP neural network model and BP neural network model based on genetic algorithm. Root mean squared error (RMSE), Mean absolute percent-age error (MAPE) and Nash–Sutcliffe efficiency (NSE) are used coefficients,, and the results were compared with BP neural network and stepwise regression model. From the results of the comparative analysis, the genetic algorithm optimized the BP neural network model in the training phase and the test phase, the RMSE was 0.25 and 0.36, the MAPE was 6.7 and 8.13%, and the NSE was 0.87 and 0.72, respectively. The BP neural network model optimized by genetic algorithm is obviously superior to the BP neural network model, which is an ideal prediction model for short-term groundwater level. This model can provide a prediction method for groundwater dynamic prediction and has a good application prospect.

...read moreread less

2 citations

Journal Article•DOI•

Simulation-optimization model for groundwater replenishment from the river: a case study in the Hutuo River alluvial fan, China

[...]

Pengwei Zhang, Qichen Hao, Yuhong Fei, Yasong Li, Yuchen Zhu, Jianfeng Li - Show less +2 more

27 Jul 2022-Water Science & Technology: Water Supply

TL;DR: In this paper , an optimization framework, which integrates a 3D transient groundwater flow model with GA, was realized in a Python programming environment in order to simulate the groundwater response to different recharge schemes, and to determine the optimal recharge strategy that has the maximum amount of water recharged into the aquifers under specific constraints.

...read moreread less

Abstract: Ecological water replenishment (EWR) has been widely implemented for the restoration of the groundwater resources in the North China Plain since 2018, and the Hutuo River is one of the typical rivers. Recovering the groundwater storage capacity while ensuring the safety of the existing land use is essential for groundwater management. In order to simulate the groundwater response to different recharge schemes, and to determine the optimal recharge strategy that has the maximum amount of water recharged into the aquifers under specific constraints, an optimization framework, which integrates a 3D transient groundwater flow model with genetic algorithm (GA), was realized in a Python programming environment in this study. The optimization results show that the optimal amount of water recharged into aquifers is 5.36 × 109 m3 from January 2020 to December 2029, and the upper river reaches are the main recharge area, accounting for 67.58% of the total. Compared with constant recharge, optimal results indicate that the total amount of water recharged into aquifers will increase without exceeding the upper limits of the groundwater levels. However, as groundwater exploitation reduces (18.44%), the river's optimal amount of water recharged also decreases (17.23%). Therefore, the developed model can identify the optimal groundwater recharge strategy and eventually facilitate decision-making in the case of EWR.

...read moreread less

References

PDF

Open Access

More filters

Other•DOI•

MODFLOW-2000, The U.S. Geological Survey Modular Ground-Water Model - User Guide to Modularization Concepts and the Ground-Water Flow Process

[...]

Arlen W. Harbaugh, Edward R. Banta, Mary C. Hill, Michael G. McDonald

01 Jan 2000

TL;DR: In this paper, the authors propose a method to solve the problem of homonymity in homonym identification, i.e., homonym-of-individuals-with-groups.

...read moreread less

Abstract: ...............................................................................................................................................................................

...read moreread less

2,449 citations

"Application of genetic algorithm fo..." refers methods in this paper

...SEAWAT-2000 was designed by combining a modified version of MODFLOW-2000 (Harbaugh et al. 2000) and MT3DMS (Zheng and Wang 1999) into a single Model Calibration and testing Develop a Numerical Model...
[...]
...SEAWAT-2000 was designed by combining a modified version of MODFLOW-2000 (Harbaugh et al. 2000) and MT3DMS (Zheng and Wang 1999) into a single Model Calibration and testing Develop a Numerical Model Input initial pumping rates Specify the direction of time period to optimize Phase I…...
[...]
...SEAWAT-2000 was designed by combining a modified version of MODFLOW-2000 (Harbaugh et al. 2000) and MT3DMS (Zheng and Wang 1999) into a single Model Calibration and testing Develop a Numerical Model Input initial pumping rates Specify the direction of time period to optimize Phase I Numerical model Numerical model Run Run Model.BAT Modify the respective input file for the numerical model Extract the required results Phase II Algorithm development Print RESULTS YesNo Randomly generating new pumping rates Optimization Model - Evaluation of Objective function - Checking for constraints Stop?...
[...]

MT3DMS: A Modular Three-Dimensional Multispecies Transport Model for Simulation of Advection, Dispersion, and Chemical Reactions of Contaminants in Groundwater Systems; Documentation and User's Guide

[...]

Chunmiao Zheng, P P Wang

01 Dec 1999

TL;DR: MT3DMS as discussed by the authors is the next generation of the modular three-dimensional transport model, with significantly expanded capabilities, including the addition of a third-order total-variation-diminishing (TVD) scheme for solving the advection term that is mass conservative but does not introduce excessive numerical dispersion and artificial oscillation.

...read moreread less

Abstract: : This manual describes the next generation of the modular three-dimensional transport model, MT3D, with significantly expanded capabilities, including the addition of (a) a third-order total-variation-diminishing (TVD) scheme for solving the advection term that is mass conservative but does not introduce excessive numerical dispersion and artificial oscillation, (b) an efficient iterative solver based on generalized conjugate gradient methods and the Lanczos/ORTHOMIN acceleration scheme to remove stability constraints on the transport time-step size, (c) options for accommodating nonequilibrium sorption and dual-domain advection-diffusion mass transport, and (d) a multicomponent program structure that can accommodate add-on reaction packages for modeling general biological and geochemical reactions MT3DMS can be used to simulate changes in concentrations of miscible contaminants in groundwater considering advection, dispersion, diffusion, and some basic chemical reactions, with various types of boundary conditions and external sources or sinks The basic chemical reactions included in the model are equilibrium-controlled or rate-limited linear or nonlinear sorption and first-order irreversible or reversible kinetic reactions MT3DMS can accommodate very general spatial discretization schemes and transport boundary conditions, including: (a) confined, unconfined, or variably confined/unconfined aquifer layers, (b)inclined model layers and variable cell thickness within the same layer, (c) specified concentration or mass flux boundaries, and (d) the solute transport effects of external hydraulic sources and sinks such as wells, drains, rivers, areal recharge, and evapotranspiration

...read moreread less

1,195 citations

"Application of genetic algorithm fo..." refers methods in this paper

...SEAWAT-2000 was designed by combining a modified version of MODFLOW-2000 (Harbaugh et al. 2000) and MT3DMS (Zheng and Wang 1999) into a single Model Calibration and testing Develop a Numerical Model Input initial pumping rates Specify the direction of time period to optimize Phase I…...
[...]
...SEAWAT-2000 was designed by combining a modified version of MODFLOW-2000 (Harbaugh et al. 2000) and MT3DMS (Zheng and Wang 1999) into a single Model Calibration and testing Develop a Numerical Model Input initial pumping rates Specify the direction of time period to optimize Phase I Numerical model Numerical model Run Run Model.BAT Modify the respective input file for the numerical model Extract the required results Phase II Algorithm development Print RESULTS YesNo Randomly generating new pumping rates Optimization Model - Evaluation of Objective function - Checking for constraints Stop?...
[...]

Journal Article•DOI•

Penalty Function Methods for Constrained Optimization with Genetic Algorithms

[...]

Özgür Yeniay¹•Institutions (1)

Hacettepe University¹

01 Apr 2005-Mathematical & Computational Applications

TL;DR: These penalty-based methods for handling constraints in Genetic Algorithms are presented and discussed and their strengths and weaknesses are discussed.

...read moreread less

Abstract: Genetic Algorithms are most directly suited to unconstrained optimization. Application of Genetic Algorithms to constrained optimization problems is often a challenging effort. Several methods have been proposed for handling constraints. The most common method in Genetic Algorithms to handle constraints is to use penalty functions. In this paper, we present these penalty-based methods and discuss their strengths and weaknesses.

...read moreread less

494 citations

"Application of genetic algorithm fo..." refers methods in this paper

...Among these methods, the most common method in genetic algorithm to handle constraints is to use penalty functions (Yeniay 2005)....
[...]

Journal Article•DOI•

Matlab Version 6.5 Release 13. The MathWorks, Inc., 3 Apple Hill Dr., Natick, MA 01760-2098; 508/647-7000, Fax 508/647-7001, www.mathworks.com

[...]

Susan Eitelman

01 Jul 2003-Ergonomics in Design

TL;DR: The toolbox provides visualization of the network architecture from the Network window and the power of the underlying core MATLAB to analyze the results makes a very useful tool for anyone using neural networks.

...read moreread less

Abstract: fined, the network structure can be viewed and the network trained from the Network window (Figure 1). From the Data Manager window, the user can easily manage different data sets and networks. Inputs defined in the core MATLAB environment are imported into the toolbox through this interface, and outputs can be exported into the core MATLAB environment for further analysis. In this way, the user can compare the performance of different networks with the same data as well as the performance of a network with different data types. Although visualization of the output is done in the core MATLAB environment, the toolbox provides visualization of the network architecture from the Network window (see Figure 1). The power of MATLAB, coupled with the focus and utility ofthe Neural Network Toolbox, makes a very useful tool for anyone using neural networks. Ergonomists who desire to use neural networks to evaluate and predict models easily will enjoy the simplicity and guidance of the toolbox and the power of the underlying core MATLAB to analyze the results. The MATLAB environment makes accessing the toolbox easy: Simply type \"nntool\" at the command prompt or use the Windows-like Start menu in the bottom left of the screen to choose the Neural Network Toolbox. The MATLAB environment, though ultimately commandline driven, uses the Windows structure REVIEWED BY SUSAN EITELMAN MATLAS Version 6.5 Release 13

...read moreread less

468 citations

Other•DOI•

User's guide to SEAWAT; a computer program for simulation of three-dimensional variable-density ground-water flow

[...]

Weixing Guo, Christian D. Langevin

01 Jan 2002-Techniques of water-resources investigations

TL;DR: This chapter discusses the design and structure of the SEAWAT Program, and discusses Darcy’s Law in Terms of Equivalent Freshwater Head, as well as other aspects of variable-Density flow mechanics.

...read moreread less

367 citations

"Application of genetic algorithm fo..." refers methods in this paper

...The governing equation for variable density flow in terms of freshwater head as used in SEAWAT is (Guo and Langevin 2002). where x, y, z are orthogonal coordinate axes, aligned with the principal directions of permeability; K is hydraulic conductivity [LT−1]; S is specific storage [L−1]; t is time [T]; θ is effective porosity [dimensionless]; C is solute concentration [ML−3]; 〉s is fluid density source or sink water [ML −3]; 〉 is the density of the native aquifer water [ML−3]; 〉f is the density of freshwater[ML−3], Z is the elevation at the measurement point [L]. and qs is the volumetric flow rate of sources and sinks per unit volume of aquifer [T−1]. hf the equivalent freshwater head....
[...]
...The following empirical relation between the density of saltwater and concentration was developed by Baxter and Wallace as reported by Guo and Langevin (Guo and Langevin 2002). where E is an empirical, dimensionless constant with an approximate value of 0.7143 for salts commonly found in seawater....
[...]
...SEAWAT (Langevin et al. 2003), one of the widely used coastal aquifer simulation models (Holzbecher 1998, Mahesha and Lakshmikant 2014, Motz and Sedighi 2013) could be combined with heuristic optimization techniques such as genetic algorithm to solve optimization-based groundwater management problems....
[...]
...SEAWAT-2000 (Langevin et al. 2003), which is based on disperse interface approach has been used in the present study, in order to simulate three dimensional, variable density, groundwater flow and transport....
[...]
...The governing equation for variable density flow in terms of freshwater head as used in SEAWAT is (Guo and Langevin 2002). where x, y, z are orthogonal coordinate axes, aligned with the principal directions of permeability; K is hydraulic conductivity [LT−1]; S is specific storage [L−1]; t is time…...
[...]