Groundwater Flow-Modeling and Sensitivity Analysis in a Hyper Arid Region

Al-Muqdadi, Sameh W.; Abo, Rudy; Khattab, Mohammed F. O.; Abdulhussein, Firas Mudhafar

doi:10.3390/w12082131

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…As can be found in ( Fig. 3 b), fault criterion came first (14.28%) on the priority list and was buffered for at least 500 m. Studies like [ [ 41 , 43 , 44 , 71 ]] suggest that faults are known to serve as conduits for underground water. To reduce groundwater pollution, landfills should not be selected near fault zones [ [ 44 , 60 ]].…”

Section: Discussionmentioning

confidence: 91%

Sustainable landfill sites selection using geospatial information and AHP-GDM approach: A case study of Abha-Khamis in Saudi Arabia

Arshad,

Hasan,

Al Mesfer

et al. 2023

Heliyon

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Section: Discussionmentioning

confidence: 91%

Sustainable landfill sites selection using geospatial information and AHP-GDM approach: A case study of Abha-Khamis in Saudi Arabia

Arshad,

Hasan,

Al Mesfer

et al. 2023

Heliyon

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“…Simulation of the drying‐rewetting processes is one of the most challenging numerical problems of a groundwater model (Al‐Muqdadi et al., 2020; Hunt & Feinstein, 2012; Painter et al., 2008). Although many simulation methods have been proposed in the past, balancing simulation accuracy and convergence capability all at once is difficult.…”

Section: Discussionmentioning

confidence: 99%

Simulation of Drying‐Rewetting Processes in Numerical Groundwater Models Using a New Picard Iteration‐Based Method

Lu,

Sun

et al. 2024

Water Resources Research

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When simulating groundwater flow in unconfined and convertible aquifers using a groundwater model with the block‐centered finite‐difference approach, such as MODFLOW, it frequently encounters drying and rewetting of cells. Although many drying and rewetting simulation methods have been proposed in the past, balancing simulation accuracy and convergence capability all at once is difficult. MODFLOW‐2005, which has second‐order accuracy, employs a trial‐and‐error method, but it suffers from computational instability when large quantities of grid cells are dried. MODFLOW‐NWT adopts the upstream‐weighting approach and Newton iteration method to ensure the stability of the drying and rewetting simulations. However, the upstream‐weighting approach has only first‐order accuracy, and the Newton iteration method is complex to implement because it necessitates the establishment of an additional Jacobian matrix. The methods employed by MODFLOW‐NWT are also available in MODFLOW 6, therefore it inherits both the strengths and weaknesses of MODFLOW‐NWT. In this study, a new method, Picard iteration‐based always active cell (PAAC), is proposed. Similar to MODFLOW‐NWT, the PAAC method also uses dry cells as active cells. The PAAC method, however, does not use the upstream‐weighting approach and has second‐order accuracy. Moreover, it ensures good convergence stability even under the Picard iteration method. In addition to discussing the algorithm, five cases were used to comprehensively compare the simulation effects of the PAAC method with MODFLOW‐2005 and MODFLOW‐NWT, including an analytical solution, repeated drying‐rewetting of multi‐layer grids, pumping well problem, perched aquifer problem and a nearly dry single‐layer grid, which verified the practicability of the PACC method.

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“…(Anderson et. al., 2015;Al-Muqdadi et al, 2020). In most entry hydrogeological parameters for numerical modelling, there is uncertainty in the boundary conditions, in measurement of abstractions and the estimation of recharge, in representation of natural processes within algorithms in standard software packages and in conceptualisation of the real system (Anderson et al, 2015).…”

Section: Agroundwater Balancementioning

confidence: 99%

Groundwater Assessment using Numerical Flow Model: A Case Study in Gash Sub-Basin-Kassala State, Sudan

Elkrail¹,

Bireir²,

Nayl³

2023

ASMScJ

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The main objective of groundwater modelling in Gash River Sub-basin, is to investigate the effect of hydrologic, hydrogeological parameters and stresses on hydrodynamic behaviour through the implementation of a realistic three-dimensional groundwater flow model. Severe decline of water level due to uncontrollable heavy abstraction, exposes a water scarcity problem especially in summer seasons. The model was developed for four geological layers encompassing two aquifer zones. The improved three-dimensional visual MODFLOW Code was selected, implemented and run using WHS method to solve the finite difference equation using trail-and-error calibration procedure at Kassala Area. The transient model was successfully calibrated with acceptable results of model calibration criteria. The contour maps of the simulated heads were performed as potentiometric surface. The general flow direction of the groundwater is from southeast towards northwest part of the area and from Gash River course towards the east and west directions as detected from gradual decreasing of potential line’s values in those directions, confirming the aquifer recharge from Gash River. The similarity of potentiometric surface contour maps of the two aquifers confirm the aquifers hydraulic interactions. It is found that the increasing pumping rate caused considerable increase in drawdown as detected from pumping rate incremental scenarios. Moreover, incremental pumping rate scenarios also reflected increasing river leakage into the aquifer system due to disturbance of water balance due to water level decline. The components of water budgets were calculated and its percentage was performed for the hydrologic balance. The difference between inflow and outflow of the water balance shows a deficit in most stress periods of the model simulations. Calibration fitness was accomplished at most of the observation wells suggesting that the groundwater model is an accurate representation of the actual historic groundwater system and confirm the validity of the model to forecasting purposes. It was found that the model is more sensitive to hydraulic conductivity and least sensitive to specific yield (Sy). Hence, precaution should be revealed for hydraulic conductivity in forecasting model usage.

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Groundwater Flow-Modeling and Sensitivity Analysis in a Hyper Arid Region

Cited by 8 publications

References 15 publications

Sustainable landfill sites selection using geospatial information and AHP-GDM approach: A case study of Abha-Khamis in Saudi Arabia

Sustainable landfill sites selection using geospatial information and AHP-GDM approach: A case study of Abha-Khamis in Saudi Arabia

Simulation of Drying‐Rewetting Processes in Numerical Groundwater Models Using a New Picard Iteration‐Based Method

Groundwater Assessment using Numerical Flow Model: A Case Study in Gash Sub-Basin-Kassala State, Sudan

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