Review of the uncertainty analysis of groundwater numerical simulation

Wu, Jichun; Zeng, Xiankui

doi:10.1007/s11434-013-5950-8

Cited by 72 publications

(27 citation statements)

References 82 publications

(109 reference statements)

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“…A groundwater system is a complex and open system that is affected by natural conditions and human activities [1]. Numerical groundwater modeling is used to analyze and predict local-or regional-scale groundwater flows under various conditions.…”

Section: Introductionmentioning

confidence: 99%

Improving the Reliability of Numerical Groundwater Modeling in a Data-Sparse Region

Hou

et al. 2018

Water

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Abstract:In data-sparse areas, due to the lack of hydrogeological data, numerical groundwater models have some uncertainties. In this paper, a nested model and a multi-index calibration method are used to improve the reliability of a numerical groundwater model in a data-sparse region, the Nalinggele River catchment in the Qaidam Basin. Referencing this key study area, a regional three-dimensional groundwater flow model is developed in a relatively complete hydrogeological unit. A complex set of calibration indices, including groundwater fitting errors, dynamic groundwater trends, spring discharges, overflow zone location, and groundwater budget status, are proposed to calibrate the regional numerical groundwater model in the Nalinggele alluvial-proluvial fan. Constrained by regional groundwater modeling results, a local-scale groundwater model is developed, and the hydrogeological parameters are investigated to improve modeling accuracy and reliability in this data-sparse region.

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Section: Introductionmentioning

confidence: 99%

Improving the Reliability of Numerical Groundwater Modeling in a Data-Sparse Region

Hou

et al. 2018

Water

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“…As models are only a simplified representation of a complex natural system, many sources of error and uncertainty exist. Sources of uncertainty include the conceptual model, model parameters and uncertainties in observation data [242]. As a result, setting up a modeling study is not always crowned by success.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Managed Aquifer Recharge through Modeling—A Review

Ringleb

Sallwey

Stefan

2016

Water

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Managed aquifer recharge (MAR) is the purposeful recharge of an aquifer for later recovery or environmental benefits and represents a valuable method for sustainable water resources management. Models can be helpful tools for the assessment of MAR systems. This review encompasses a survey and an analysis of case studies which apply flow and transport models to evaluate MAR. The observed modeling objectives include the planning or optimization of MAR schemes as well as the identification and quantification of geochemical processes during injection, storage and recovery. The water recovery efficiency and the impact of the injected water on the ambient groundwater are further objectives investigated in the reviewed studies. These objectives are mainly solved by using groundwater flow models. Unsaturated flow models, solute transport models, reactive geochemical models as well as water balance models are also frequently applied and often coupled. As each planning step to setup a new MAR facility requires cost and time investment, modeling is used to minimize hazard risks and assess possible constraints of the system such as low recovery efficiency, clogging and geochemical processes.

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“…The model is sensitive to the recharge and horizontal hydraulic conductivity of the top layer. Effort was made to constrain the model using the historic and factual data, which is expected to minimize the degree of uncertainty [17]. …”

Section: Scenario 5: Transient State Impact Of Burials On Water Levelsmentioning

confidence: 99%

Groundwater Engineering in an Environmentally Sensitive Urban Area: Assessment, Landuse Change/Infrastructure Impacts and Mitigation Measures

2017

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A rise in the shallow unconfined groundwater at a site in Australia is causing water logging of the underground facility in the affected area. Realizing this problem, a study was conducted to identify the source of water that is causing the rise and to develop an implementation and operation plan of the mitigation (dewatering system). Modelling was undertaken using MODFLOW-SURFACT code, within the framework of Visual MODFLOW, to assess the spatial and temporal groundwater level at the site. The study undertaken incorporates compilation and assessment of available data, including a list of factual information reviewed, development of a conceptual groundwater model for the site and modelling of the pre and post development conditions. The outcomes of the assessment indicate water level rises due to the construction of the embankment are likely less than 0.12 m and changes in land, such as affected area burial, may change aquifer characteristics more significantly than the embankment. It is concluded that the elevated groundwater levels in the affected area are most likely a result of above average rainfall since 2007 and long term cumulative land use changes. The embankment construction is just one of many land use changes that have occurred both within and surrounding the affected area and likely only a minor contributor to the elevated water levels. Greater contribution may be attributed to re-direction of the natural flow paths the railway culvert weir reducing the overland flow gradient and ongoing changes (burial) within the affected area and including the embankment. The model findings gives answers on what factors may be/are causing/contributing to, the higher than usual groundwater levels in the study area. A combination of drainage and/or pumping (dewatering system) is suggested as a solution to overcome the problem of rising groundwater levels at the site. Further, the model output can aid in assessing mitigation options, including horizontal drainage networks and pumping to control for the rising water table conditions in the area, depending on the level of treatment and pathogenic criteria.

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Review of the uncertainty analysis of groundwater numerical simulation

Cited by 72 publications

References 82 publications

Improving the Reliability of Numerical Groundwater Modeling in a Data-Sparse Region

Improving the Reliability of Numerical Groundwater Modeling in a Data-Sparse Region

Assessment of Managed Aquifer Recharge through Modeling—A Review

Groundwater Engineering in an Environmentally Sensitive Urban Area: Assessment, Landuse Change/Infrastructure Impacts and Mitigation Measures

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