Simulation of lake-groundwater interaction under unsteady-state flow using the sloping lakebed method

Wu, Chu; Lu, Chuiyu; Sun, Qingyan; He, Xin; Yan, Lingjia; Qin, Tao

doi:10.1016/j.jhydrol.2023.130299

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…The full, non-open-source version of COMUS, along with Chinese documentation, has been formally published at http://www.hydrotools.top/hydroModel/SkyCoMuS, and the open-source part of the software, along with the English documentation associated with this paper for calculations, has been published on Zenodo at https://doi.org/10.5281/zenodo.10807403 (Lu et al, 2024). COMUS utilizes the blockcentered finite-difference flow equations, the modified incomplete Cholesky preconditioning PCG solver, and stress-period-based data management, which are identical to those of MODFLOW-2005, with the primary differences being its development using the C++ programming language and the incorporation of an original algorithm for simulating lake-groundwater interaction (Lu et al, 2021;Wu et al, 2023). However, aside from the PAAC method, this paper does not involve the differences in simulation principles between COMUS and MODFLOW-2005.…”

Section: Water Resources Researchmentioning

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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Section: Water Resources Researchmentioning

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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“…There are many influencing factors on the SGWI, such as basin geology and geomorphology, riverbed characteristics, river runoff, groundwater level, evaporation, rainfall, and human exploitation [3] . The above factors not only have complex impacts on the SGWI, but also have cross effects within each other, making the study of the transformation mechanism of surface water and groundwater challenging [6,9] . According to reports, in the Taoer River area, the river runoff is directly proportional to the conversion amount of surface water and groundwater.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Response of Surface Water and Groundwater Interaction to River Runoff in the Taoer River Alluvial Fan

Meng,

Shao

2024

E3S Web Conf.

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Understanding the transformation mechanisms of surface water and groundwater positively impacts the rational utilization of water resources and the more scientific allocation of their uses. Many factors affect surface water and groundwater interaction (SGWI), among which river runoff is the most critical variable. Studying the response mechanism of SGWI under changes in river channel volume can help understand the essence of SGWI. Using the Taoer River alluvial fan as the research area, daily runoff data from hydrological stations in the study area from January to March 1961, 1971, 1981, 1991, 2001, and 2011 were collected. The daily SGWI was calculated using the water balance and flow speed difference methods. The results show that river runoff is the main factor controlling the SGWI, and the interaction quantity (IQ) is more stable when the IQ is relatively small.

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Areal artificial recharge has changed the interactions between surface water and groundwater

Jin,

Tang,

Yuan

et al. 2024

Journal of Hydrology

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Simulation of lake-groundwater interaction under unsteady-state flow using the sloping lakebed method

Cited by 3 publications

References 35 publications

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

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

A Study on the Response of Surface Water and Groundwater Interaction to River Runoff in the Taoer River Alluvial Fan

Areal artificial recharge has changed the interactions between surface water and groundwater

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