Räumlich hochauflösende Modellierung der Grundwasserneubildung im Neckartal bei Tübingen

Wegehenkel, Martin; Selg, Matthias

doi:10.1007/s007670200033

Cited by 3 publications

(1 citation statement)

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“…However, since we are interested in the effective, long-term behavior and not the high-resolution fluctuations, we consider this simplification justified. We base our range of possible recharge rates on previous work conducted in our domain or in comparable aquifers in close proximity (Holzwarth, 1980;Wegehenkel and Selg, 2002;Selle et al, 2013). (4) We use a leaky boundary condition to simulate the interaction between groundwater and the Ammer river.…”

Section: Boundary Conditionsmentioning

confidence: 99%

A Stochastic Framework to Optimize Monitoring Strategies for Delineating Groundwater Divides

et al. 2020

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Surface-water divides can be delineated by analyzing digital elevation models. They might, however, significantly differ from groundwater divides because the groundwater surface does not necessarily follow the surface topography. Thus, in order to delineate a groundwater divide, hydraulic-head measurements are needed. Because installing piezometers is cost- and labor-intensive, it is vital to optimize their placement. In this work, we introduce an optimal design analysis that can identify the best spatial configuration of piezometers. The method is based on formal minimization of the expected posterior uncertainty in localizing the groundwater divide. It is based on the preposterior data impact assessor, a Bayesian framework that uses a random sample of models (here: steady-state groundwater flow models) in a fully non-linear analysis. For each realization, we compute virtual hydraulic-head measurements at all potential well installation points and delineate the groundwater divide by particle tracking. Then, for each set of virtual measurements and their possible measurement values, we assess the uncertainty of the groundwater-divide location after Bayesian updating, and finally marginalize over all possible measurement values. We test the method mimicking an aquifer in South-West Germany. Previous works in this aquifer indicated a groundwater divide that substantially differs from the surface-water divide. Our analysis shows that the uncertainty in the localization of the groundwater divide can be reduced with each additional monitoring well. In our case study, the optimal configuration of three monitoring points involves the first well being close to the topographic surface water divide, the second one on the hillslope toward the valley, and the third one in between.

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Section: Boundary Conditionsmentioning

confidence: 99%

A Stochastic Framework to Optimize Monitoring Strategies for Delineating Groundwater Divides

et al. 2020

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Probabilistic study of well capture zones distribution at the Lauswiesen field site

Riva

Guadagnini

et al. 2006

Journal of Contaminant Hydrology

105

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Surrogate‐Model Assisted Plausibility‐Check, Calibration, and Posterior‐Distribution Evaluation of Subsurface‐Flow Models

Allgeier

Cirpka

2023

Water Resources Research

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Process-based numerical modeling of subsurface flow is an important tool in hydrogeological research and groundwater-resources management. The computational power (in terms of hardware and software) has improved drastically over the last decades. At the same time, models have increased in complexity, as new numerical methods have become feasible, more processes can been considered and evermore detail can be represented in the models (e.g., Venkataraman & Haftka, 2004;Y. Zhou & Li, 2011;Jakob, 2014). A side effect of this development is that modern models tend to have many adjustable parameters. The process of estimating values of model parameters so that the model output reasonably agrees with measured data is known as model calibration, inverse modeling, or parameter inference (e.g.,

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Räumlich hochauflösende Modellierung der Grundwasserneubildung im Neckartal bei Tübingen

Cited by 3 publications

References 1 publication

A Stochastic Framework to Optimize Monitoring Strategies for Delineating Groundwater Divides

A Stochastic Framework to Optimize Monitoring Strategies for Delineating Groundwater Divides

Probabilistic study of well capture zones distribution at the Lauswiesen field site

Surrogate‐Model Assisted Plausibility‐Check, Calibration, and Posterior‐Distribution Evaluation of Subsurface‐Flow Models

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