Articles | Volume 25, issue 1
Hydrol. Earth Syst. Sci., 25, 1–15, 2021
https://doi.org/10.5194/hess-25-1-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 25, 1–15, 2021
https://doi.org/10.5194/hess-25-1-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 04 Jan 2021
Research article | 04 Jan 2021
A field evidence model: how to predict transport in heterogeneous aquifers at low investigation level
Alraune Zech et al.
Related authors
Miao Jing, Falk Heße, Rohini Kumar, Wenqing Wang, Thomas Fischer, Marc Walther, Matthias Zink, Alraune Zech, Luis Samaniego, Olaf Kolditz, and Sabine Attinger
Geosci. Model Dev., 11, 1989–2007, https://doi.org/10.5194/gmd-11-1989-2018, https://doi.org/10.5194/gmd-11-1989-2018, 2018
Alraune Zech and Sabine Attinger
Hydrol. Earth Syst. Sci., 20, 1655–1667, https://doi.org/10.5194/hess-20-1655-2016, https://doi.org/10.5194/hess-20-1655-2016, 2016
Short summary
Short summary
A new method is presented which allows interpreting pumping test in heterogeneous transmissivity fields. Based on radially dependent transmissivity, the effective well flow solution is derived for two cases: the ensemble mean of pumping tests and the drawdown at an individual heterogeneous transmissivity field. The analytical form of the solution allows inversely estimating the parameters of aquifer heterogeneity (mean, variance, and correlation length) from steady-state pumping test data.
Miao Jing, Rohini Kumar, Falk Heße, Stephan Thober, Oldrich Rakovec, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 24, 1511–1526, https://doi.org/10.5194/hess-24-1511-2020, https://doi.org/10.5194/hess-24-1511-2020, 2020
Short summary
Short summary
This study investigates the response of regional groundwater system to the climate change under three global warming levels (1.5, 2, and 3 °C) in a central German basin. A comprehensive uncertainty analysis is also presented. This study indicates that the variability of responses increases with the amount of global warming, which might affect the cost of managing the groundwater system.
Bernd Schalge, Gabriele Baroni, Barbara Haese, Daniel Erdal, Gernot Geppert, Pablo Saavedra, Vincent Haefliger, Harry Vereecken, Sabine Attinger, Harald Kunstmann, Olaf A. Cirpka, Felix Ament, Stefan Kollet, Insa Neuweiler, Harrie-Jan Hendricks Franssen, and Clemens Simmer
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-24, https://doi.org/10.5194/essd-2020-24, 2020
Preprint under review for ESSD
Short summary
Short summary
In this study a nine year simulation of complete model output of a coupled atmosphere-land surface-subsurface model on the catchment scale is discussed. We used the Neckar catchment in SW-Germany as the basis of this simulation. Since the dataset includes the full model output it is not only possible to investigate model behaviour and interactions between the component models but also use it as a virtual truth for comparison of for example data assimilation experiments.
Sophie Ehrhardt, Rohini Kumar, Jan H. Fleckenstein, Sabine Attinger, and Andreas Musolff
Hydrol. Earth Syst. Sci., 23, 3503–3524, https://doi.org/10.5194/hess-23-3503-2019, https://doi.org/10.5194/hess-23-3503-2019, 2019
Short summary
Short summary
This study shows quantitative and temporal offsets between nitrogen input and riverine output, using time series of three nested catchments in central Germany. The riverine concentrations show lagged reactions to the input, but at the same time exhibit strong inter-annual changes in the relationship between riverine discharge and concentration. The study found a strong retention of nitrogen that is dominantly assigned to a hydrological N legacy, which will affect future stream concentrations.
Miao Jing, Falk Heße, Rohini Kumar, Olaf Kolditz, Thomas Kalbacher, and Sabine Attinger
Hydrol. Earth Syst. Sci., 23, 171–190, https://doi.org/10.5194/hess-23-171-2019, https://doi.org/10.5194/hess-23-171-2019, 2019
Short summary
Short summary
We evaluated the uncertainty propagation from the inputs (forcings) and parameters to the predictions of groundwater travel time distributions (TTDs) using a fully distributed numerical model (mHM-OGS) and the StorAge Selection (SAS) function. Through detailed numerical and analytical investigations, we emphasize the key role of recharge estimation in the reliable predictions of TTDs and the good interpretability of the SAS function.
Miao Jing, Falk Heße, Rohini Kumar, Wenqing Wang, Thomas Fischer, Marc Walther, Matthias Zink, Alraune Zech, Luis Samaniego, Olaf Kolditz, and Sabine Attinger
Geosci. Model Dev., 11, 1989–2007, https://doi.org/10.5194/gmd-11-1989-2018, https://doi.org/10.5194/gmd-11-1989-2018, 2018
M. Kröhnert, R. Anderson, J. Bumberger, P. Dietrich, W. S. Harpole, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 539–542, https://doi.org/10.5194/isprs-archives-XLII-2-539-2018, https://doi.org/10.5194/isprs-archives-XLII-2-539-2018, 2018
Martin Schrön, Steffen Zacharias, Gary Womack, Markus Köhli, Darin Desilets, Sascha E. Oswald, Jan Bumberger, Hannes Mollenhauer, Simon Kögler, Paul Remmler, Mandy Kasner, Astrid Denk, and Peter Dietrich
Geosci. Instrum. Method. Data Syst., 7, 83–99, https://doi.org/10.5194/gi-7-83-2018, https://doi.org/10.5194/gi-7-83-2018, 2018
Short summary
Short summary
Cosmic-ray neutron sensing (CRNS) is a unique technology to monitor water storages in complex environments, non-invasively, continuously, autonomuously, and representatively in large areas. However, neutron detector signals are not comparable per se: there is statistical noise, technical differences, and locational effects. We found out what it takes to make CRNS consistent in time and space to ensure reliable data quality. We further propose a method to correct for sealed areas in the footrint.
Martin Schrön, Markus Köhli, Lena Scheiffele, Joost Iwema, Heye R. Bogena, Ling Lv, Edoardo Martini, Gabriele Baroni, Rafael Rosolem, Jannis Weimar, Juliane Mai, Matthias Cuntz, Corinna Rebmann, Sascha E. Oswald, Peter Dietrich, Ulrich Schmidt, and Steffen Zacharias
Hydrol. Earth Syst. Sci., 21, 5009–5030, https://doi.org/10.5194/hess-21-5009-2017, https://doi.org/10.5194/hess-21-5009-2017, 2017
Short summary
Short summary
A field-scale average of near-surface water content can be sensed by cosmic-ray neutron detectors. To interpret, calibrate, and validate the integral signal, it is important to account for its sensitivity to heterogeneous patterns like dry or wet spots. We show how point samples contribute to the neutron signal based on their depth and distance from the detector. This approach robustly improves the sensor performance and data consistency, and even reveals otherwise hidden hydrological features.
Luis Samaniego, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Matthias Zink, Niko Wanders, Stephanie Eisner, Hannes Müller Schmied, Edwin H. Sutanudjaja, Kirsten Warrach-Sagi, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 4323–4346, https://doi.org/10.5194/hess-21-4323-2017, https://doi.org/10.5194/hess-21-4323-2017, 2017
Short summary
Short summary
We inspect the state-of-the-art of several land surface (LSMs) and hydrologic models (HMs) and show that most do not have consistent and realistic parameter fields for land surface geophysical properties. We propose to use the multiscale parameter regionalization (MPR) technique to solve, at least partly, the scaling problem in LSMs/HMs. A general model protocol is presented to describe how MPR can be applied to a specific model.
Gabriele Baroni, Matthias Zink, Rohini Kumar, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 2301–2320, https://doi.org/10.5194/hess-21-2301-2017, https://doi.org/10.5194/hess-21-2301-2017, 2017
Short summary
Short summary
Three methods are used to characterize the uncertainty in soil properties. The effect on simulated states and fluxes is quantified using a distributed hydrological model. Different impacts are identified as function of the perturbation method, of the model outputs and of the spatio-temporal resolution. The study underlines the importance of a proper characterization of the uncertainty in soil properties for a correct assessment of their role and further improvements in the model application.
Falk Heße, Matthias Zink, Rohini Kumar, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 549–570, https://doi.org/10.5194/hess-21-549-2017, https://doi.org/10.5194/hess-21-549-2017, 2017
Short summary
Short summary
Travel-time distributions are a comprehensive tool for the characterization of hydrological systems. In our study, we used data that were simulated by virtue of a well-established hydrological model. This gave us a very large yet realistic dataset, both in time and space, from which we could infer the relative impact of different factors on travel-time behavior. These were, in particular, meteorological (precipitation), land surface (land cover, leaf-area index) and subsurface (soil) properties.
Edoardo Martini, Ulrike Werban, Steffen Zacharias, Marco Pohle, Peter Dietrich, and Ute Wollschläger
Hydrol. Earth Syst. Sci., 21, 495–513, https://doi.org/10.5194/hess-21-495-2017, https://doi.org/10.5194/hess-21-495-2017, 2017
Short summary
Short summary
With a process-based interpretation of electromagnetic induction measurements, we discussed the potential and limitations of such a method for soil moisture mapping. Results will help clarify the complex and time-varying effect of stable soil properties and dynamic state variables on the physical parameters measured, with implications for future studies. We highlighted the importance of time-series data and the need for a multidisciplinary approach for proper interpretation.
Bernd Schalge, Jehan Rihani, Gabriele Baroni, Daniel Erdal, Gernot Geppert, Vincent Haefliger, Barbara Haese, Pablo Saavedra, Insa Neuweiler, Harrie-Jan Hendricks Franssen, Felix Ament, Sabine Attinger, Olaf A. Cirpka, Stefan Kollet, Harald Kunstmann, Harry Vereecken, and Clemens Simmer
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-557, https://doi.org/10.5194/hess-2016-557, 2016
Manuscript not accepted for further review
Short summary
Short summary
In this work we show how we used a coupled atmosphere-land surface-subsurface model at highest possible resolution to create a testbed for data assimilation. The model was able to capture all important processes and interactions between the compartments as well as showing realistic statistical behavior. This proves that using a model as a virtual truth is possible and it will enable us to develop data assimilation methods where states and parameters are updated across compartment.
Alraune Zech and Sabine Attinger
Hydrol. Earth Syst. Sci., 20, 1655–1667, https://doi.org/10.5194/hess-20-1655-2016, https://doi.org/10.5194/hess-20-1655-2016, 2016
Short summary
Short summary
A new method is presented which allows interpreting pumping test in heterogeneous transmissivity fields. Based on radially dependent transmissivity, the effective well flow solution is derived for two cases: the ensemble mean of pumping tests and the drawdown at an individual heterogeneous transmissivity field. The analytical form of the solution allows inversely estimating the parameters of aquifer heterogeneity (mean, variance, and correlation length) from steady-state pumping test data.
Rohini Kumar, Jude L. Musuuza, Anne F. Van Loon, Adriaan J. Teuling, Roland Barthel, Jurriaan Ten Broek, Juliane Mai, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 20, 1117–1131, https://doi.org/10.5194/hess-20-1117-2016, https://doi.org/10.5194/hess-20-1117-2016, 2016
Short summary
Short summary
In a maiden attempt, we performed a multiscale evaluation of the widely used SPI to characterize local- and regional-scale groundwater (GW) droughts using observations at 2040 groundwater wells in Germany and the Netherlands. From this data-based exploratory analysis, we provide sufficient evidence regarding the inability of the SPI to characterize GW drought events, and stress the need for more GW observations and accounting for regional hydrogeological characteristics in GW drought monitoring.
E. Zehe, U. Ehret, L. Pfister, T. Blume, B. Schröder, M. Westhoff, C. Jackisch, S. J. Schymanski, M. Weiler, K. Schulz, N. Allroggen, J. Tronicke, L. van Schaik, P. Dietrich, U. Scherer, J. Eccard, V. Wulfmeyer, and A. Kleidon
Hydrol. Earth Syst. Sci., 18, 4635–4655, https://doi.org/10.5194/hess-18-4635-2014, https://doi.org/10.5194/hess-18-4635-2014, 2014
M. Bechmann, C. Schneider, A. Carminati, D. Vetterlein, S. Attinger, and A. Hildebrandt
Hydrol. Earth Syst. Sci., 18, 4189–4206, https://doi.org/10.5194/hess-18-4189-2014, https://doi.org/10.5194/hess-18-4189-2014, 2014
Related subject area
Subject: Groundwater hydrology | Techniques and Approaches: Stochastic approaches
3D multiple-point statistics simulations of the Roussillon Continental Pliocene aquifer using DeeSse
Technical Note: Improved sampling of behavioral subsurface flow model parameters using active subspaces
Efficient screening of groundwater head monitoring data for anthropogenic effects and measurement errors
Regionalization with hierarchical hydrologic similarity and ex situ data in the context of groundwater recharge estimation at ungauged watersheds
Long-term groundwater recharge rates across India by in situ measurements
Stochastic hydrogeology's biggest hurdles analyzed and its big blind spot
Contributions to uncertainty related to hydrostratigraphic modeling using multiple-point statistics
Recent trends of groundwater temperatures in Austria
Moment-based metrics for global sensitivity analysis of hydrological systems
Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies
Characterizing the spatiotemporal variability of groundwater levels of alluvial aquifers in different settings using drought indices
Testing the use of standardised indices and GRACE satellite data to estimate the European 2015 groundwater drought in near-real time
Modeling 3-D permeability distribution in alluvial fans using facies architecture and geophysical acquisitions
A Bayesian consistent dual ensemble Kalman filter for state-parameter estimation in subsurface hydrology
Technical note: Application of artificial neural networks in groundwater table forecasting – a case study in a Singapore swamp forest
Regional analysis of groundwater droughts using hydrograph classification
Scalable statistics of correlated random variables and extremes applied to deep borehole porosities
Observed groundwater temperature response to recent climate change
The effect of training image and secondary data integration with multiple-point geostatistics in groundwater modelling
Is high-resolution inverse characterization of heterogeneous river bed hydraulic conductivities needed and possible?
Investigation of solute transport in nonstationary unsaturated flow fields
Extended power-law scaling of heavy-tailed random air-permeability fields in fractured and sedimentary rocks
Stochastic analysis of field-scale heat advection in heterogeneous aquifers
Groundwater flow inverse modeling in non-MultiGaussian media: performance assessment of the normal-score Ensemble Kalman Filter
Extended power-law scaling of air permeabilities measured on a block of tuff
Quantifying flow and remediation zone uncertainties for partially opened wells in heterogeneous aquifers
Bayesian approach for three-dimensional aquifer characterization at the Hanford 300 Area
Spectral approach to seawater intrusion in heterogeneous coastal aquifers
Valentin Dall'Alba, Philippe Renard, Julien Straubhaar, Benoit Issautier, Cédric Duvail, and Yvan Caballero
Hydrol. Earth Syst. Sci., 24, 4997–5013, https://doi.org/10.5194/hess-24-4997-2020, https://doi.org/10.5194/hess-24-4997-2020, 2020
Short summary
Short summary
Due to climate and population evolution, increased pressure is put on the groundwater resource, which calls for better understanding and models. In this paper, we describe a novel workflow to model the geological heterogeneity of coastal aquifers and apply it to the Roussillon plain (southern France). The main strength of the workflow is its capability to model aquifer heterogeneity when only sparse data are available while honoring the local geological trends and quantifying uncertainty.
Daniel Erdal and Olaf A. Cirpka
Hydrol. Earth Syst. Sci., 24, 4567–4574, https://doi.org/10.5194/hess-24-4567-2020, https://doi.org/10.5194/hess-24-4567-2020, 2020
Short summary
Short summary
Assessing model sensitivities with ensemble-based methods can be prohibitively expensive when large parts of the plausible parameter space result in model simulations with nonrealistic results. In a previous work, we used the method of active subspaces to create a proxy model with the purpose of filtering out such unrealistic runs at low cost. This work details a notable improvement in the efficiency of the original sampling scheme, without loss of accuracy.
Christian Lehr and Gunnar Lischeid
Hydrol. Earth Syst. Sci., 24, 501–513, https://doi.org/10.5194/hess-24-501-2020, https://doi.org/10.5194/hess-24-501-2020, 2020
Short summary
Short summary
A screening method for the fast identification of well-specific peculiarities in hydrographs of groundwater head monitoring networks is suggested and tested. The only information required is a set of time series of groundwater head readings all measured at the same instants of time. The results were used to check the data for measurement errors and to identify wells with possible anthropogenic influence.
Ching-Fu Chang and Yoram Rubin
Hydrol. Earth Syst. Sci., 23, 2417–2438, https://doi.org/10.5194/hess-23-2417-2019, https://doi.org/10.5194/hess-23-2417-2019, 2019
Short summary
Short summary
Estimates of hydrologic responses at ungauged watersheds can be conditioned on information transferred from other gauged watersheds. This paper presents an approach to consider the variable controls on information transfer among watersheds under different conditions while at the same time featuring uncertainty representation in both the model structure and the model parameters.
Soumendra N. Bhanja, Abhijit Mukherjee, R. Rangarajan, Bridget R. Scanlon, Pragnaditya Malakar, and Shubha Verma
Hydrol. Earth Syst. Sci., 23, 711–722, https://doi.org/10.5194/hess-23-711-2019, https://doi.org/10.5194/hess-23-711-2019, 2019
Short summary
Short summary
Groundwater depletion in India has been a much-debated issue in recent years. Here we investigate long-term, spatiotemporal variation in prevailing groundwater recharge rates across India. Groundwater recharge rates have been estimated based on field-scale groundwater-level measurements and the tracer injection approach; recharge rates from the two estimates compared favorably. The role of precipitation in controlling groundwater recharge is studied.
Yoram Rubin, Ching-Fu Chang, Jiancong Chen, Karina Cucchi, Bradley Harken, Falk Heße, and Heather Savoy
Hydrol. Earth Syst. Sci., 22, 5675–5695, https://doi.org/10.5194/hess-22-5675-2018, https://doi.org/10.5194/hess-22-5675-2018, 2018
Short summary
Short summary
This paper addresses questions related to the adoption of stochastic methods in hydrogeology, looking at factors such as environmental regulations, financial incentives, higher education, and the collective feedback loop involving these factors. We show that stochastic hydrogeology's blind spot is in focusing on risk while ignoring uncertainty, to the detriment of its potential clients. The imbalance between the treatments of risk and uncertainty is shown to be common to multiple disciplines.
Adrian A. S. Barfod, Troels N. Vilhelmsen, Flemming Jørgensen, Anders V. Christiansen, Anne-Sophie Høyer, Julien Straubhaar, and Ingelise Møller
Hydrol. Earth Syst. Sci., 22, 5485–5508, https://doi.org/10.5194/hess-22-5485-2018, https://doi.org/10.5194/hess-22-5485-2018, 2018
Short summary
Short summary
The focus of this study is on the uncertainty related to using multiple-point statistics (MPS) for stochastic modeling of the upper 200 m of the subsurface. The main research goal is to showcase how MPS methods can be used on real-world hydrogeophysical data and show how the uncertainty related to changing the underlying MPS setup propagates into the finalized 3-D subsurface models.
Susanne A. Benz, Peter Bayer, Gerfried Winkler, and Philipp Blum
Hydrol. Earth Syst. Sci., 22, 3143–3154, https://doi.org/10.5194/hess-22-3143-2018, https://doi.org/10.5194/hess-22-3143-2018, 2018
Short summary
Short summary
Climate change is one of the most pressing challenges modern society faces. Increasing temperatures are observed both above ground and, as discussed here, in the groundwater – the source of most drinking water. Within Austria average temperature increased by 0.7 °C over the past 20 years, with an increase of more than 3 °C in some wells and temperature decrease in others. However, these extreme changes can be linked to local events such as the construction of a new drinking water supply.
Aronne Dell'Oca, Monica Riva, and Alberto Guadagnini
Hydrol. Earth Syst. Sci., 21, 6219–6234, https://doi.org/10.5194/hess-21-6219-2017, https://doi.org/10.5194/hess-21-6219-2017, 2017
Short summary
Short summary
We propose new metrics to assist global sensitivity analysis of Earth systems. Our approach allows assessing the impact of model parameters on the first four statistical moments of a target model output, allowing us to ascertain which parameters can affect some moments of the model output pdf while being uninfluential to others. Our approach is fully compatible with analysis in the context of model complexity reduction, design of experiment, uncertainty quantification and risk assessment.
Anne-Sophie Høyer, Giulio Vignoli, Thomas Mejer Hansen, Le Thanh Vu, Donald A. Keefer, and Flemming Jørgensen
Hydrol. Earth Syst. Sci., 21, 6069–6089, https://doi.org/10.5194/hess-21-6069-2017, https://doi.org/10.5194/hess-21-6069-2017, 2017
Short summary
Short summary
We present a novel approach for 3-D geostatistical simulations. It includes practical strategies for the development of realistic 3-D training images and for incorporating the diverse geological and geophysical inputs together with their uncertainty levels (due to measurement inaccuracies and scale mismatch). Inputs consist of well logs, seismics, and an existing 3-D geomodel. The simulation domain (45 million voxels) coincides with the Miocene unit over 2810 km2 across the Danish–German border.
Johannes Christoph Haas and Steffen Birk
Hydrol. Earth Syst. Sci., 21, 2421–2448, https://doi.org/10.5194/hess-21-2421-2017, https://doi.org/10.5194/hess-21-2421-2017, 2017
Short summary
Short summary
We show that the variability of groundwater levels within an Alpine river valley is more strongly affected by human impacts on rivers than by extreme events in precipitation. The influence of precipitation is found to be more pronounced in the shallow wells of the Alpine foreland. Groundwater levels, river stages and precipitation behave more similar under drought than under flood conditions and generally exhibit a tendency towards more similar behavior in the most recent decade.
Anne F. Van Loon, Rohini Kumar, and Vimal Mishra
Hydrol. Earth Syst. Sci., 21, 1947–1971, https://doi.org/10.5194/hess-21-1947-2017, https://doi.org/10.5194/hess-21-1947-2017, 2017
Short summary
Short summary
Summer 2015 was extremely dry in Europe, hampering groundwater supply to irrigation and drinking water. For effective management, the groundwater situation should be monitored in real time, but data are not available. We tested two methods to estimate groundwater in near-real time, based on satellite data and using the relationship between rainfall and historic groundwater levels. The second method gave a good spatially variable representation of the 2015 groundwater drought in Europe.
Lin Zhu, Huili Gong, Zhenxue Dai, Gaoxuan Guo, and Pietro Teatini
Hydrol. Earth Syst. Sci., 21, 721–733, https://doi.org/10.5194/hess-21-721-2017, https://doi.org/10.5194/hess-21-721-2017, 2017
Short summary
Short summary
We developed a method to characterize the distribution and variance of the hydraulic conductivity k in a multiple-zone alluvial fan by fusing multiple-source data. Consistently with the scales of the sedimentary transport energy, the k variance of the various facies decreases from the upper to the lower portion along the flow direction. The 3-D distribution of k is consistent with that of the facies. The potentialities of the proposed approach are tested on the Chaobai River megafan, China.
Boujemaa Ait-El-Fquih, Mohamad El Gharamti, and Ibrahim Hoteit
Hydrol. Earth Syst. Sci., 20, 3289–3307, https://doi.org/10.5194/hess-20-3289-2016, https://doi.org/10.5194/hess-20-3289-2016, 2016
Short summary
Short summary
We derive a new dual ensemble Kalman filter (EnKF) for state-parameter estimation. The derivation is based on the one-step-ahead smoothing formulation, and unlike the standard dual EnKF, it is consistent with the Bayesian formulation of the state-parameter estimation problem and uses the observations in both state smoothing and forecast. This is shown to enhance the performance and robustness of the dual EnKF in experiments conducted with a two-dimensional synthetic groundwater aquifer model.
Yabin Sun, Dadiyorto Wendi, Dong Eon Kim, and Shie-Yui Liong
Hydrol. Earth Syst. Sci., 20, 1405–1412, https://doi.org/10.5194/hess-20-1405-2016, https://doi.org/10.5194/hess-20-1405-2016, 2016
Short summary
Short summary
This study applies artificial neural networks (ANN) to predict the groundwater table variations in a tropical wetland in Singapore. Surrounding reservoir levels and rainfall are selected as ANN inputs. The limited number of inputs eliminates the data-demanding restrictions inherent in the physical-based numerical models. The forecast is made at 4 locations with 3 leading times up to 7 days. The ANN forecast shows promising accuracy with decreasing performance when leading time progresses.
J. P. Bloomfield, B. P. Marchant, S. H. Bricker, and R. B. Morgan
Hydrol. Earth Syst. Sci., 19, 4327–4344, https://doi.org/10.5194/hess-19-4327-2015, https://doi.org/10.5194/hess-19-4327-2015, 2015
Short summary
Short summary
To improve the design of drought monitoring networks and water resource management during episodes of drought, there is a need for a better understanding of spatial variations in the response of aquifers to major meteorological droughts. This paper is the first to describe a suite of methods to quantify such variations. Using an analysis of groundwater level data for a case study from the UK, the influence of catchment characteristics on the varied response of groundwater to droughts is explored
A. Guadagnini, S. P. Neuman, T. Nan, M. Riva, and C. L. Winter
Hydrol. Earth Syst. Sci., 19, 729–745, https://doi.org/10.5194/hess-19-729-2015, https://doi.org/10.5194/hess-19-729-2015, 2015
Short summary
Short summary
Previously we have shown that many earth-system and other variables can be viewed as samples from scale mixtures of truncated fractional Brownian motion or fractional Gaussian noise. Here we study statistical scaling of extreme absolute increments associated with such samples. As a real example we analyze neutron porosities from deep boreholes in diverse depositional units. Phenomena we uncover are relevant to the analysis of fluid flow and solute transport in complex hydrogeologic environments.
K. Menberg, P. Blum, B. L. Kurylyk, and P. Bayer
Hydrol. Earth Syst. Sci., 18, 4453–4466, https://doi.org/10.5194/hess-18-4453-2014, https://doi.org/10.5194/hess-18-4453-2014, 2014
X. L. He, T. O. Sonnenborg, F. Jørgensen, and K. H. Jensen
Hydrol. Earth Syst. Sci., 18, 2943–2954, https://doi.org/10.5194/hess-18-2943-2014, https://doi.org/10.5194/hess-18-2943-2014, 2014
W. Kurtz, H.-J. Hendricks Franssen, P. Brunner, and H. Vereecken
Hydrol. Earth Syst. Sci., 17, 3795–3813, https://doi.org/10.5194/hess-17-3795-2013, https://doi.org/10.5194/hess-17-3795-2013, 2013
C.-M. Chang and H.-D. Yeh
Hydrol. Earth Syst. Sci., 16, 4049–4055, https://doi.org/10.5194/hess-16-4049-2012, https://doi.org/10.5194/hess-16-4049-2012, 2012
A. Guadagnini, M. Riva, and S. P. Neuman
Hydrol. Earth Syst. Sci., 16, 3249–3260, https://doi.org/10.5194/hess-16-3249-2012, https://doi.org/10.5194/hess-16-3249-2012, 2012
C.-M. Chang and H.-D. Yeh
Hydrol. Earth Syst. Sci., 16, 641–648, https://doi.org/10.5194/hess-16-641-2012, https://doi.org/10.5194/hess-16-641-2012, 2012
L. Li, H. Zhou, H. J. Hendricks Franssen, and J. J. Gómez-Hernández
Hydrol. Earth Syst. Sci., 16, 573–590, https://doi.org/10.5194/hess-16-573-2012, https://doi.org/10.5194/hess-16-573-2012, 2012
M. Siena, A. Guadagnini, M. Riva, and S. P. Neuman
Hydrol. Earth Syst. Sci., 16, 29–42, https://doi.org/10.5194/hess-16-29-2012, https://doi.org/10.5194/hess-16-29-2012, 2012
C.-F. Ni, C.-P. Lin, S.-G. Li, and J.-S. Chen
Hydrol. Earth Syst. Sci., 15, 2291–2301, https://doi.org/10.5194/hess-15-2291-2011, https://doi.org/10.5194/hess-15-2291-2011, 2011
H. Murakami, X. Chen, M. S. Hahn, Y. Liu, M. L. Rockhold, V. R. Vermeul, J. M. Zachara, and Y. Rubin
Hydrol. Earth Syst. Sci., 14, 1989–2001, https://doi.org/10.5194/hess-14-1989-2010, https://doi.org/10.5194/hess-14-1989-2010, 2010
C.-M. Chang and H.-D. Yeh
Hydrol. Earth Syst. Sci., 14, 719–727, https://doi.org/10.5194/hess-14-719-2010, https://doi.org/10.5194/hess-14-719-2010, 2010
Cited articles
Adams, E. E. and Gelhar, L. W.: Field study of dipersion in a heterogeneous
aquifer: 2. Spatial moments analysis, Water Resour. Res., 28, 3293–3307,
https://doi.org/10.1029/92WR01757, 1992. a, b, c
Bianchi, M. and Zheng, C.: A lithofacies approach for modeling non-Fickian
solute transport in a heterogeneous alluvial aquifer, Water Resour. Res., 52,
552–565, https://doi.org/10.1002/2015WR018186, 2016. a, b
Bryant, I. D. and Flint, S. S.: Quantitative Clastic Reservoir Geological
Modelling: Problems and Perspectives, John Wiley & Sons, Ltd, 1–20,
https://doi.org/10.1002/9781444303957.ch1, 2009. a
Carle, S. F. and Fogg, G. E.: Transition probability-based indicator
geostatistics, Math. Geol., 28, 453–476, https://doi.org/10.1007/BF02083656,
1996. a
Cirpka, O. A. and Valocchi, A. J.: Debates – Stochastic subsurface hydrology
from theory to practice: Does stochastic subsurface hydrology help solving
practical problems of contaminant hydrogeology?, Water Resour. Res., 52,
9218–9227, https://doi.org/10.1002/2016WR019087, 2016. a
Dagan, G.: Statistical theory of groundwater flow and transport: Pore to
laboratory, laboratory to formation, and formation to regional scale, Water
Resour. Res., 22, 120S–134S, https://doi.org/10.1029/WR022i09Sp0120S, 1986. a
Damsleth, E., Tjolsen, C. B., Omre, H., and Haldorsen, H. H.: A Two-Stage
Stochastic Model Applied to a North Sea Reservoir, J. Petrol. Technol., 44, 402–486, https://doi.org/10.2118/20605-PA, 1992. a
Delhomme, J. P.: Spatial variability and uncertainty in groundwater flow
parameters: A geostatistical approach, Water Resour. Res., 15, 269–280,
https://doi.org/10.1029/WR015i002p00269, 1979. a
Dietrich, P., Butler, J. J., and Faiss, K.: A rapid method for hydraulic
profiling in unconsolidated formations, Ground Water, 46, 323–328,
https://doi.org/10.1111/j.1745-6584.2007.00377.x, 2008. a
Dogan, M., Van Dam, R. L., Liu, G., Meerschaert, M. M., Butler, J. J., Bohling,
G. C., Benson, D. A., and Hyndman, D. W.: Predicting flow and transport in
highly heterogeneous alluvial aquifers, Geophys. Res. Lett., 41, 7560–7565,
https://doi.org/10.1002/2014GL061800, 2014. a
Fiori, A.: Channeling, channel density and mass recovery in aquifer transport,
with application to the MADE experiment, Water Resour. Res., 50,
9148–9161, https://doi.org/10.1002/2014WR015950, 2014. a
Fiori, A., Dagan, G., Jankovic, I., and Zarlenga, A.: The plume spreading in
the MADE transport experiment: Could it be predicted by stochastic models?,
Water Resour. Res., 49, 2497–2507, https://doi.org/10.1002/wrcr.20128, 2013. a, b
Fiori, A., Cvetkovic, V., Dagan, G., Attinger, S., Bellin, A., Dietrich, P.,
Zech, A., and Teutsch, G.: Debates – Stochastic subsurface hydrology from
theory to practice: The relevance of stochastic subsurface hydrology to
practical problems of contaminant transport and remediation. What is
characterization and stochastic theory good for?, Water Resour. Res., 52,
9228–9234, https://doi.org/10.1002/2015WR017525, 2016. a
Fiori, A., Zarlenga, A., Jankovic, I., and Dagan, G.: Solute transport in
aquifers: The comeback of the advection dispersion equation and the First
Order Approximation, Adv. Water Resour., 110, 349–359,
https://doi.org/10.1016/j.advwatres.2017.10.025, 2017. a, b
Fogg, G. E. and Zhang, Y.: Debates – Stochastic subsurface hydrology from
theory to practice: A geologic perspective, Water Resour. Res., 52,
9235–9245, https://doi.org/10.1002/2016WR019699, 2016. a
Fogg, G. E., Carle, S. F., and Green, C.: Connected-network paradigm for the
alluvial aquifer system, Geol. S. Am. S., 348,
25–42, https://doi.org/10.1130/0-8137-2348-5.25, 2000. a
Gómez-Hernández, J., Butler, J. J., Fiori, A., Bolster, D., Cvetkovic,
V., Dagan, G., and Hyndman, D.: Introduction to special section on Modeling
highly heterogeneous aquifers: Lessons learned in the last 30 years from
the MADE experiments and others, Water Resour. Res., 53, 2581–2584,
https://doi.org/10.1002/2017WR020774, 2017. a
Gómez-Hernández, J. J. and Gorelick, S. M.: Effective groundwater model
parameter values: Influence of spatial variability of hydraulic conductivity,
leakance and recharge, Water Resour. Res., 25, 405–419, https://doi.org/10.1029/WR025i003p00405, 1989. a, b
Haldorsen, H. and Lake, L.: A New Approach to Shale Management in Field-Scale
Models, Soc. Petrol. Eng. J., 24, 447–457,
https://doi.org/10.2118/10976-PA, 1984. a
Herweijer, J. C.: Constraining uncertainty of groundwater flow and transport
models using pumping tests, in: Calibration and Reliability in Groundwater
Modelling, vol. 237, 473–482, IAHS Publ. no. 237, Golden, Colorado,
1996. a
Huysmans, M. and Dassargues, A.: Application of multiple-point geostatistics on
modelling groundwater flow and transport in a cross-bedded aquifer
(Belgium), Hydrogeol. J., 17, 1901–1911, https://doi.org/10.1007/s10040-009-0495-2,
2009. a
Journel, A. G. and Gómez-Hernández, J. J.: Stochastic Imaging of the
Wilmington Clastic Sequence, SPE Formation Evaluation, 8, 33–40,
https://doi.org/10.2118/19857-PA, 1993. a
Julian, H. E., Boggs, J. M., Zheng, C., and Feehley, C. E.: Numerical
Simulation of a Natural Gradient Tracer Experiment for the Natural
Attenuation Study: Flow and Physical Transport, Ground Water, 39, 534–545,
https://doi.org/10.1111/j.1745-6584.2001.tb02342.x, 2001. a
Kitanidis, P.: Introduction to Geostatistics: Applications in
Hydrogeology, Cambridge University Press, Cambridge, New York, 2008. a
Kolditz, O., Bauer, S., Bilke, L., Böttcher, N., Delfs, J.-O., Fischer, T.,
Görke, U. J., Kalbacher, T., Kosakowski, G., McDermott, C. I., Park, C. H.,
Radu, F., Rink, K., Shao, H., Shao, H. B., Sun, F., Sun, Y. Y., Singh, A. K.,
Taron, J., Walther, M., Wang, W., Watanabe, N., Wu, Y., Xie, M., Xu, W., and
Zehner, B.: OpenGeoSys: An open-source initiative for numerical
simulation of thermo-hydro-mechanical/chemical (THM/C) processes in porous
media, Environ. Earth Sci., 67, 589–599, https://doi.org/10.1007/s12665-012-1546-x,
2012. a
Koltermann, C. E. and Gorelick, S. M.: Heterogeneity in Sedimentary Deposits: A
Review of Structure-Imitating, Process-Imitating, and Descriptive Approaches,
Water Resour. Res., 32, 2617–2658, https://doi.org/10.1029/96WR00025, 1996. a, b
Linde, N., Renard, P., Mukerji, T., and Caers, J.: Geological realism in
hydrogeological and geophysical inverse modeling: A review, Adv. Water
Resour., 86, 86–101, https://doi.org/10.1016/j.advwatres.2015.09.019, 2015. a
Lu, Z. and Zhang, D.: On stochastic modeling of flow in multimodal
heterogeneous formations, Water Resour. Res., 38, 1190,
https://doi.org/10.1029/2001WR001026, 2002. a
Müller, S.: ogs5py v1.0.5, https://doi.org/10.5281/zenodo.3546035, 2019. a
Müller, S. and Schüler, L.: GSTools: Reverberating Red (Version v1.1.1), Zenodo,
https://doi.org/10.5281/zenodo.3532946, 2019. a, b
Müller, S., Zech, A., and Heße, F.:
ogs5py: A Python-API for the OpenGeoSys 5 scientific modeling package, Ground Water, https://doi.org/10.1111/gwat.13017, 2020. a
Neton, M. J., Dorsch, J., Olson, C. D., and Young, S. C.: Architecture and
directional scales of heterogeneity in alluvial-fan aquifers, J. Sediment. Res., 64, 245–257,
https://doi.org/10.1306/D4267FA0-2B26-11D7-8648000102C1865D, 1994. a
Proce, C. J., Ritzi, R. W., Dominic, D. F., and Dai, Z.: Modeling Multiscale
Heterogeneity and Aquifer Interconnectivity, Groundwater, 42, 658–670,
https://doi.org/10.1111/j.1745-6584.2004.tb02720.x, 2004. a
Rajaram, H.: Debates – Stochastic subsurface hydrology from theory to
practice: Introduction, Water Resour. Res., 52, 9215–9217,
https://doi.org/10.1002/2016WR020066, 2016. a, b
Rehfeldt, K. R., Hufschmied, P., Gelhar, L. W., and Schaefer, M.: Measuring
hydraulic conductivity with the borehole flowmeter, Tech. Rep. EN-6511, EPRI,
Palo Alto, CA, 1989. a
Rehfeldt, K. R., Boggs, J. M., and Gelhar, L. W.: Field study of dispersion in
a heterogeneous aquifer: 3. Geostatistical analysis of hydraulic
conductivity, Water Resour. Res., 28, 3309–3324, https://doi.org/10.1029/92WR01758,
1992. a, b, c
Renard, P., Straubhaar, J., Caers, J., and Mariethoz, G.: Conditioning Facies
Simulations with Connectivity Data, Math Geosci., 43, 879–903,
https://doi.org/10.1007/s11004-011-9363-4, 2011. a
Rubin, Y.: Flow and Transport in Bimodal Heterogeneous Formations,
Water Resour. Res., 31, 2461–2468, https://doi.org/10.1029/95WR01953, 1995. a, b, c
Rubin, Y.: Applied Stochastic Hydrogeology, Oxford Univ. Press, New York, 2003. a
Salamon, P., Fernàndez-Garcia, D., and Gòmez-Hernández, J. J.:
Modeling tracer transport at the MADE site: The importance of
heterogeneity, Water Resour. Res., 43, W08404, https://doi.org/10.1029/2006WR005522,
2007. a
Sanchez-Vila, X. and Fernàndez-Garcia, D.: Debates – Stochastic
subsurface hydrology from theory to practice: Why stochastic modeling has
not yet permeated into practitioners?, Water Resour. Res., 52, 9246–9258,
https://doi.org/10.1002/2016WR019302, 2016. a
Smith, R., Bard, W., Corredor, J., Herweijer, J., McGuire, S., Antunez, A.,
Block, T., and Lazarde, N.: Geostatistical Modeling and Simulation of a
Compartmentalized Deltaic Sequence, Ceuta Tomoporo Field, Lake
Maracaibo, Venezuela, in: Proceedings on SPE Latin American and Caribbean
Petroleum Engineering Conference, Society of Petroleum Engineers,
https://doi.org/10.2118/69572-MS, 2001. a
Somogyvári, M., Bayer, P., and Brauchler, R.: Travel-time-based thermal tracer tomography, Hydrol. Earth Syst. Sci., 20, 1885–1901, https://doi.org/10.5194/hess-20-1885-2016, 2016. a
Strebelle, S.: Conditional Simulation of Complex Geological Structures Using
Multiple-Point Statistics, Math. Geol., 34, 1–21,
https://doi.org/10.1023/A:1014009426274, 2002. a
Weissmann, G. S. and Fogg, G. E.: Multi-scale alluvial fan heterogeneity
modeled with transition probability geostatistics in a sequence stratigraphic
framework, J. Hydrol., 226, 48–65, https://doi.org/10.1016/S0022-1694(99)00160-2,
1999. a
Werth, C. J., Cirpka, O. A., and Grathwohl, P.: Enhanced mixing and reaction
through flow focusing in heterogeneous porous media, Water Resour. Res., 42,
W12414, https://doi.org/10.1029/2005WR004511, 2006. a
Zech, A. and Attinger, S.: Technical note: Analytical drawdown solution for steady-state pumping tests in two-dimensional
isotropic heterogeneous aquifers, Hydrol. Earth Syst. Sci., 20, 1655–1667, https://doi.org/10.5194/hess-20-1655-2016, 2016. a
Zech, A. and Müller, S.: GeoStat-Examples/Binary_Inclusions,
https://doi.org/10.5281/zenodo.4134627, 2020. a
Zech, A., Müller, S., Mai, J., Heße, F., and Attinger, S.: Extending
Theis' Solution: Using Transient Pumping Tests to Estimate Parameters of
Aquifer Heterogeneity, Water Resour. Res., 52, 6156–6170,
https://doi.org/10.1002/2015WR018509, 2016.
a, b, c
Zech, A., D'Angelo, C., Attinger, S., and Fiori, A.: Revisitation of the dipole
tracer test for heterogeneous porous formations, Adv. Water Resour., 115,
198–206, https://doi.org/10.1016/j.advwatres.2018.03.006, 2018. a
Zheng, C., Bianchi, M., and Gorelick, S. M.: Lessons Learned from 25 Years of
Research at the MADE Site, Ground Water, 49, 649–662,
https://doi.org/10.1111/j.1745-6584.2010.00753.x, 2011. a, b, c
Zinn, B. and Harvey, C. F.: When good statistical models of aquifer
heterogeneity go bad: A comparison of flow, dispersion, and mass transfer in
connected and multivariate Gaussian hydraulic conductivity fields, Water
Resour. Res., 39, 1051, https://doi.org/10.1029/2001WR001146, 2003. a
