MODFLOW-2000, The U.S. Geological Survey modular ground-water model: User guide to modularization concepts and the ground-water flow process

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

doi:10.3133/ofr200092

Cited by 1,868 publications

(1,374 citation statements)

References 17 publications

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“…[11]. The underside was treated as a no-flow boundary of impermeable bedrock; the west side as other no-flow boundary of the Tenasserim hills range; and the north as another no-flow boundary of the small hills separating the upper and lower Chao Phraya basins.…”

Section: Model Design and Boundary Conditionsmentioning

confidence: 99%

Impact of climate change on the groundwater sustainability in the lower Chao Phraya basin, Thailand

Tanachaichoksirikun¹,

Seeboonruang²,

Saraphirom³

2018

MATEC Web Conf.

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Abstract. This research investigates the impact of climate change on the hydraulic heads of Thailand's Lower Chao Phraya basin. The research also determines the sustainability of groundwater as the result from climate change. In the study, the climatic scenario (IPSL-CM5A-MR) of the Representative Concentration Pathways (RCP) between 2.6, 4.5 and 8.5 were considered, and the simulations were carried out using the three-dimensional groundwater flow model (i.e. MODFLOW-2000) predicting the groundwater behavior between 2017 and 2036. The findings revealed that the impact of climate change on the hydraulic head fluctuation was positively correlated. Specifically, under the IPSL-CM5A-MR RCP 4.5 that has the highest average precipitation, the average hydraulic head increased. In conclusion, the sustainability of groundwater in the Lower Chao Phraya basin was sufficient during the simulated time. However, the groundwater budget was lower than the average groundwater budget during 2009 -2014 indicating, the groundwater storage was continuously decreased. Specifically, the 2 nd , and 3 rd (Phra Pradeang and Nakorn Luang) aquifers may be facing the groundwater shortage in the future.

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Section: Model Design and Boundary Conditionsmentioning

confidence: 99%

Impact of climate change on the groundwater sustainability in the lower Chao Phraya basin, Thailand

Tanachaichoksirikun¹,

Seeboonruang²,

Saraphirom³

2018

MATEC Web Conf.

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“…For this work we are using the US Geological Survey code MODFLOW-2000 (Harbaugh et al 2000). MODFLOW is a widely used and well-supported block-centered finite difference code that simulates saturated groundwater.…”

Section: Simulation Modelmentioning

confidence: 99%

“…The three-dimensional equation describing the groundwater flow can be expressed as (Harbaugh et al 2000)…”

Section: Simulation Modelmentioning

confidence: 99%

Swarm intelligence for groundwater management optimization

Sedki

Ouazar

2010

Journal of Hydroinformatics

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This paper presents some simulation-optimization models for groundwater resources management. These models couple two of the most successful global optimization techniques inspired by swarm intelligence, namely particle swarm optimization (PSO) and ant colony optimization (ACO), with one of the most commonly used groundwater flow simulation code, MODFLOW. The coupled simulation-optimization models are formulated and applied to three different groundwater management problems: (i) maximization of total pumping problem,(ii) minimization of total pumping to contain contaminated water within a capture zone and (iii) minimization of the pumping cost to satisfy the given demand for multiple management periods. The results of PSO-and ACO-based models are compared with those produced by other methods previously presented in the literature for the three case studies considered. It is found that PSO and ACO are promising methods for solving groundwater management problems, as is their ability to find optimal or near-optimal solutions.

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“…The characteristics of the unconfined aquifer, flow system, and the numerical model are listed in Table 1. Simulation of steady unconfined flow employed MODFLOW-2000 [Harbaugh et al, 2000]. We assumed a statistically homogeneous deposit with a constant mean hydraulic conductivity.…”

Section: Wetland Protection Problemmentioning

confidence: 99%

“…The multiple realization simulation-optimization management model was solved using the SNOPT optimization code [Gill et al, 2002]. MODFLOW-2000 [Harbaugh et al, 2000] was used to solve for the local elevations of the water table under different pumping conditions and was coded as an external subroutine that was called for every function and Jacobian evaluation in each iteration of the optimization solution procedure.…”

Section: Multiple-realization or Stacking Approachmentioning

confidence: 99%

Reliable groundwater management in hydroecologically sensitive areas

Feyen

Gorelick

2004

Water Resources Research

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[1] A stochastic groundwater management model is formulated to account for prediction uncertainty when maximizing regionally distributed groundwater production yet obeying regulations to maintain the hydroecological balance in wetland areas. The water table elevation in sensitive wetland areas is lowered by the withdrawal of groundwater at supply wells. Substantial uncertainty exists because drawdowns depend on both the unknown spatial distribution of hydraulic conductivity and regional boundary conditions. Planning in the face of uncertain predictions of water table changes means that optimal production must be prudently reduced. A stochastic simulation-optimization formulation is developed that provides a robust water production plan. Prediction uncertainty is dealt with through stochastic simulation-optimization using a multiple-realization approach. On the basis of analyses involving solution of over 8 million aquifer models and 36,000 stochastic-optimization solutions, the nature and reliability of the optimal groundwater production scheme are inspected to determine the effects of uncertainty in spatially variable hydraulic conductivity, conditioning on local measurements, and the type of boundary conditions imposed in the nonlinear aquifer model. We propose a new measure to predict the expected reliability of meeting water level constraints in wetland areas. Monte Carlo simulations based on numerous optimal groundwater production schemes confirm that the expected reliability is a quantifiable function of the number of hydraulic conductivity realizations included in the stochastic-optimization formulation and the variance of log hydraulic conductivity.

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MODFLOW-2000, The U.S. Geological Survey modular ground-water model: User guide to modularization concepts and the ground-water flow process

Cited by 1,868 publications

References 17 publications

Impact of climate change on the groundwater sustainability in the lower Chao Phraya basin, Thailand

Impact of climate change on the groundwater sustainability in the lower Chao Phraya basin, Thailand

Swarm intelligence for groundwater management optimization

Reliable groundwater management in hydroecologically sensitive areas

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