Articles | Volume 19, issue 2
https://doi.org/10.5194/hess-19-729-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-729-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Feb 2015
Research article |
| 04 Feb 2015
Scalable statistics of correlated random variables and extremes applied to deep borehole porosities
A. Guadagnini
Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona 85721, USA
Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Piazza L. Da Vinci 32, 20133 Milan, Italy
S. P. Neuman
Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona 85721, USA
T. Nan
CORRESPONDING AUTHOR
Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona 85721, USA
M. Riva
Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona 85721, USA
Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Piazza L. Da Vinci 32, 20133 Milan, Italy
C. L. Winter
Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona 85721, USA
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Permeability of natural systems exhibits heterogeneous spatial variations linked with the size of the measurement support scale. As the latter becomes coarser, the system appearance is less heterogeneous. As such, sets of permeability data associated with differing support scales provide diverse amounts of information. In this contribution, we leverage information theory to quantify the information content of gas permeability datasets collected with four diverse measurement support scales.
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Aronne Dell'Oca, Monica Riva, and Alberto Guadagnini
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J. Zhu, C. L. Winter, and Z. Wang
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Computation experiments found the effects of small-scale heterogeneities do influence estimates of aquifer--stream exchanges. The effects are nonlinear in the sense that simulated discharges from aquifers to streams are systematically lower than discharges produced by a base model parameterized with coarse effective K. Although aquifer heterogeneities are uncorrelated at local scales, they appear to induce coherent slow-paths in groundwater fluxes that in turn reduce aquifer-stream exchanges.
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Andrea Manzoni, Giovanni Michele Porta, Laura Guadagnini, Alberto Guadagnini, and Monica Riva
Hydrol. Earth Syst. Sci., 28, 2661–2682, https://doi.org/10.5194/hess-28-2661-2024, https://doi.org/10.5194/hess-28-2661-2024, 2024
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We introduce a comprehensive methodology that combines multi-objective optimization, global sensitivity analysis (GSA) and 3D groundwater modeling to analyze subsurface flow dynamics across large-scale domains. In this way, we effectively consider the inherent uncertainty associated with subsurface system characterizations and their interactions with surface waterbodies. We demonstrate the effectiveness of our proposed approach by applying it to the largest groundwater system in Italy.
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Revised manuscript accepted for HESS
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We provide a set of benchmarking scenarios for geostatistical inversion, and we encourage the scientific community to use these to compare their newly developed methods. To facilitate transparent, appropriate, and uncertainty-aware comparison of novel methods, we also provide accurate reference solutions, a high-end reference algorithm, and a diverse set of benchmarking metrics, all of which are publicly available. With this, we seek to foster more targeted and transparent progress in the field.
Cécile Coulon, Jeremy T. White, Alexandre Pryet, Laura Gatel, and Jean-Michel Lemieux
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In coastal areas, groundwater managers require information on the risk of well salinization associated with various pumping scenarios. We developed a modeling approach to identify the optimal tradeoff between groundwater pumping and probability of salinization, considering model parameter and historical observation uncertainty as well as uncertainty in sea level and recharge projections. The workflow can be implemented in a wide range of coastal settings.
Chloé Fandel, Ty Ferré, François Miville, Philippe Renard, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 27, 4205–4215, https://doi.org/10.5194/hess-27-4205-2023, https://doi.org/10.5194/hess-27-4205-2023, 2023
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From the surface, it is hard to tell where underground cave systems are located. We developed a computer model to create maps of the probable cave network in an area, based on the geologic setting. We then applied our approach in reverse: in a region where an old cave network was mapped, we used modeling to test what the geologic setting might have been like when the caves formed. This is useful because understanding past cave formation can help us predict where unmapped caves are located today.
Tuvia Turkeltaub and Golan Bel
Hydrol. Earth Syst. Sci., 27, 289–302, https://doi.org/10.5194/hess-27-289-2023, https://doi.org/10.5194/hess-27-289-2023, 2023
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Groundwater is an essential resource affected by climate conditions and anthropogenic activities. Estimations of groundwater recharge under current and future climate conditions require long-term climate records that are scarce. Different methods to synthesize climate data, based on observations, are used to estimate groundwater recharge. In terms of groundwater recharge estimation, the best synthesis method is based on the daily statistics corrected to match the observed monthly statistics.
Lisa Maria Ringel, Mohammadreza Jalali, and Peter Bayer
Hydrol. Earth Syst. Sci., 26, 6443–6455, https://doi.org/10.5194/hess-26-6443-2022, https://doi.org/10.5194/hess-26-6443-2022, 2022
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Fractured rocks host a class of aquifers that serve as major freshwater resources worldwide. This work is dedicated to resolving the three-dimensional hydraulic and structural properties of fractured rock. For this purpose, hydraulic tomography experiments at the Grimsel Test Site in Switzerland are utilized, and the discrete fracture network is inverted. The comparison of the inversion results with independent findings from other studies demonstrates the validity of the approach.
Lisa Baulon, Nicolas Massei, Delphine Allier, Matthieu Fournier, and Hélène Bessiere
Hydrol. Earth Syst. Sci., 26, 2829–2854, https://doi.org/10.5194/hess-26-2829-2022, https://doi.org/10.5194/hess-26-2829-2022, 2022
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Aquifers often act as low-pass filters, dampening high-frequency (intra-annual) and amplifying low-frequency (LFV, multi-annual to multidecadal) variabilities originating from climate variability. By processing groundwater level signals, we show the key role of LFV in the occurrence of groundwater extremes (GWEs). Results highlight how changes in LFV may impact future GWEs as well as the importance of correct representation of LFV in general circulation model outputs for GWE projection.
Huiying Ren, Erol Cromwell, Ben Kravitz, and Xingyuan Chen
Hydrol. Earth Syst. Sci., 26, 1727–1743, https://doi.org/10.5194/hess-26-1727-2022, https://doi.org/10.5194/hess-26-1727-2022, 2022
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We used a deep learning method called long short-term memory (LSTM) to fill gaps in data collected by hydrologic monitoring networks. LSTM accounted for correlations in space and time and nonlinear trends in data. Compared to a traditional regression-based time-series method, LSTM performed comparably when filling gaps in data with smooth patterns, while it better captured highly dynamic patterns in data. Capturing such dynamics is critical for understanding dynamic complex system behaviors.
Ching-Min Chang, Chuen-Fa Ni, We-Ci Li, Chi-Ping Lin, and I-Hsien Lee
Hydrol. Earth Syst. Sci., 25, 2387–2397, https://doi.org/10.5194/hess-25-2387-2021, https://doi.org/10.5194/hess-25-2387-2021, 2021
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A transfer function to describe the variation in the integrated specific discharge in response to the temporal variation in the rainfall event in the frequency domain is developed. It can be used to quantify the variability in the integrated discharge field induced by the variation in rainfall field or to simulate the discharge response of the system to any varying rainfall input, at any time resolution, using the convolution model.
Chuan-An Xia, Xiaodong Luo, Bill X. Hu, Monica Riva, and Alberto Guadagnini
Hydrol. Earth Syst. Sci., 25, 1689–1709, https://doi.org/10.5194/hess-25-1689-2021, https://doi.org/10.5194/hess-25-1689-2021, 2021
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Our study shows that (i) monitoring wells installed with packers provide the (overall) best conductivity estimates; (ii) conductivity estimates anchored on information from partially and fully screened wells are of similar quality; (iii) inflation of the measurement-error covariance matrix can improve conductivity estimates when a simplified flow model is adopted; and (iv) when compared to the MC-based EnKF, the MEs-based EnKF can efficiently and accurately estimate conductivity and head fields.
Alraune Zech, Peter Dietrich, Sabine Attinger, and Georg Teutsch
Hydrol. Earth Syst. Sci., 25, 1–15, https://doi.org/10.5194/hess-25-1-2021, https://doi.org/10.5194/hess-25-1-2021, 2021
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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
Akaev, A., Sadovnichy, V., and Korotayev, A.: On the dynamics of the world demographic transition and financial-economic crises forecasts, Eur. Phys. J.-Special Topics, 205, 355–373, https://doi.org/10.1140/epjst/e2012-01578-2, 2012.
Amitrano, D.: Variability in the power-law distributions of rupture events, Eur. Phys. J.-Special Topics, 205, 199–215, https://doi.org/10.1140/epjst/e2012-01571-9, 2012.
Ancey, C.: Are there "dragon-kings" events (i.e. genuine outliers) among extreme avalanches?, Eur. Phys. J.-Special Topics, 205, 117–129, https://doi.org/10.1140/epjst/e2012-01565-7, 2012.
Andrews, D. F. and Mallows, C. L.: Scale Mixtures of Normal Distributions, J. Roy. Stat. Soc. B Met., 36, 99–102, 1974.
Arnold, B. C.: Pareto and Generalized Pareto Distributions, in: Modeling Income Distributions and Lorenz Curves, edited by: Chotikapanich, D., Springer Science & Business Media, New York NY, 119–145, 2008.
Barrash, W. and Reboulet, E. C.: Significance of porosity for stratigraphy and textural composition in subsurface coarse fluvial deposits, Boise Hydrogeophysical Research Site, Geol. Soc. Am. Bull., 116, 1059–1073, https://doi.org/10.1130/B25370.1, 2004.
Benzi, R., Ciliberto, S., Baudet, C., Chavarria, G. R., and Tripiccione, R.: Extended self-similarity in the dissipation range of fully developed turbulence, Europhys. Lett., 24, 275–279, 1993a.
Benzi, R., Ciliberto, S., Tripiccione, R., Baudet, C., Massaioli, F., and Succi, S.: Extended self-similarity in turbulent flows, Phys. Rev. E, 48, R29–R32, 1993b.
Benzi, R., Biferale, L., Ciliberto, S., Struglia, M. V., and Tripiccione, R.: Generalised scaling in fully developed turbulence, Phys. D, 96, 162–181, 1996.
Burlando, P. and Rosso, R.: Scaling and multiscaling models of depth-duration-frequency curves for storm precipitation, J. Hydrol., 187, 45–64, https://doi.org/10.1016/S0022-1694(96)03086-7, 1996.
Castro, J. J., Carsteanu, A. A., and Flores, C. G.: Intensity-duration-area-frequency functions for precipitation in a multi-fractal framework, Physica A, 338, 206–210, https://doi.org/10.1016/j.physa.2004.02.043, 2004.
Chakraborty, S., Frisch, U., and Ray, S. S.: Extended self-similarity works for the Burgers equation and why, J. Fluid Mech., 649, 275–285, https://doi.org/10.1017/S0022112010000595, 2010.
Dashtian, H., Jafari, G. R., Sahimi, M., and Masihi, M.: Scaling, multifractality, and long-range correlations in well log data of large-scale porous media, Physica A, 390, 2096–2111, https://doi.org/10.1016/j.physa.2011.01.010, 2011.
de Arcangelis, L.: Are dragon-king neuronal avalanches dungeons for self-organized brain activity?, Eur. Phys. J.-Special Topics, 205, 243–257, https://doi.org/10.1140/epjst/e2012-01574-6, 2012.
De Michele, C., Kottegoda, N. T., and Rosso, R.: The derivation of areal reduction factor of storm rainfall from its scaling properties, Water Resour. Res., 37, 3247–3252, https://doi.org/10.1029/2001WR000346, 2001.
Di Federico, V. and Neuman, S. P.: Scaling of random fields by means of truncated power variograms and associated spectra, Water Resour. Res., 33, 1075–1085, https://doi.org/10.1029/97WR00299, 1997.
Ebtehaj, M. and Foufoula-Georgiou, E.: Orographic signature on multiscale statistics of extreme rainfall: A storm-scale study, J. Geophys. Res.-Atmos., 115, D23112, https://doi.org/10.1029/2010JD014093, 2010.
Embrechts, P., Mikosch, T., and Klüppelberg, C.: Modelling Extremal Events For Insurance and Finance, Springer-Verlag, London, UK, 1997.
Fogg, G. E., Carle, S. F., and Green, C.: Connected-network paradigm for the alluvial aquifer system, in: Theory, Modeling, and Field Investigation in Hydrogeology: A Special Volume in Honor of Shlomo P. Neuman's 60th Birthday, edited by: Zhang, D. and Winter, C. L., Geological Society of America Special Paper 348, Boulder, Colorado, 25–42, 2000.
Frisch, U.: Turbulence, Cambridge University Press, Cambridge, 1995.
Garcia-Bartual, R. and Schneider, M.: Estimating maximum expected short-duration rainfall intensities from extreme convective storms, Phys. Chem. Earth Pt. B, 26, 675–681, https://doi.org/10.1016/S1464-1909(01)00068-5, 2001.
Golosovsky, M. and Solomon, S.: Runaway events dominate the heavy tail of citation distributions, Eur. Phys. J.-Special Topics, 205, 303–311, https://doi.org/10.1140/epjst/e2012-01576-4, 2012.
Gómez-Hernández, J. J. and Wen, X.-H.: To be or not to be multi-Gaussian. A reflection on stochastic hydrogeology, Adv. Water Resour., 21, 47–61, https://doi.org/10.1016/S0309-1708(96)00031-0, 1998.
Guadagnini, A. and Neuman, S. P.: Extended power-law scaling of self-affine signals exhibiting apparent multifractality, Geophys. Res. Lett., 38, L13403, https://doi.org/10.1029/2011gl047727, 2011.
Guadagnini, A., Neuman, S. P., and Riva, M.: Numerical investigation of apparent multifractality of samples from processes subordinated to truncated fBm, Hydrol. Proc., 26, 2894–2908, https://doi.org/10.1002/Hyp.8358, 2012.
Guadagnini, A., Neuman, S. P., Schaap, M. G., and Riva, M.: Anisotropic statistical scaling of vadose zone hydraulic property estimates near Maricopa, Arizona, Water Resour. Res., 49, 8463–8479, https://doi.org/10.1002/2013wr014286, 2013.
Guadagnini, A., Neuman, S. P., Schaap, M. G., and Riva, M.: Anisotropic statistical scaling of soil and sediment texture in a stratified deep vadose zone near Maricopa, Arizona, Geoderma, 214, 217–227, https://doi.org/10.1016/j.geoderma.2013.09.008, 2014.
Janczura, J. and Weron, R.: Black swans or dragon-kings? A simple test for deviations from the power law, Eur. Phys. J.-Special Topics, 205, 79–93, https://doi.org/10.1140/epjst/e2012-01563-9, 2012.
Javelle, P., Gresillon, J. M., and Galea, G.: Discharge-duration-frequency curve modelling for floods and scale invariance, Comptes Rendus De L Academie Des Sciences Serie Ii Fascicule a-Sciences De La Terre Et Des Planetes, 329, 39–44, https://doi.org/10.1016/S1251-8050(99)80225-0, 1999.
Kashyap, R. L.: Optimal choice of AR and MA parts in autoregressive moving average models, IEEET Pattern. Anal. 4, 99–104, 1982.
Katz, R. W., Parlange, M. B., and Naveau, P.: Statistics of extremes in hydrology, Adv. Water Resour., 25, 1287–1304, https://doi.org/10.1016/S0309-1708(02)00056-8, 2002.
Knudby, C. and Carrera, J.: On the relationship between indicators of geostatistical, flow and transport connectivity, Adv. Water Resour. 28, 405–421, https://doi.org/10.1016/j.advwatres.2004.09.001, 2005.
Knudby, C. and Carrera, J.: On the use of apparent hydraulic diffusivity as an indicator of connectivity, J. Hydrol., 329, 377–389, https://doi.org/10.1016/j.jhydrol.2006.02.026, 2006.
Knudby, C., Carrera, J., Bumgardner, J. D., and Fogg, G. E.: Binary upscaling – the role of connectivity and a new formula, Adv. Water Resour. 29, 590–604, 2006.
Kozubowski, T. J., Meerschaert, M. M., and Podgorski, K.: Fractional Laplace motion, Adv. Appl. Probab. 38, 451–464, https://doi.org/10.1239/aap/1151337079, 2006.
Langousis, A. and Veneziano, D.: Intensity-duration-frequency curves from scaling representations of rainfall, Water Resour. Res., 43, W02422, https://doi.org/10.1029/2006wr005245, 2007.
Lei, X.: Dragon-Kings in rock fracturing: Insights gained from rock fracture tests in the laboratory, Eur. Phys. J.-Special Topics, 205, 217–230, https://doi.org/10.1140/epjst/e2012-01572-8, 2012.
Main, I. and Naylor, M.: Extreme events and predictability of catastrophic failure in composite materials and in the Earth, Eur. Phys. J.-Special Topics, 205, 183–197, https://doi.org/10.1140/epjst/e2012-01570-x, 2012.
Mariethoz, G. and Renard, P.: Special Issues on 20 years of multiple-point statistics: part 2, Math. Geosci., 46, 517–518, https://doi.org/10.1007/s11004-014-9545-y, 2014.
Meerschaert, M. M., Kozubowski, T. J., Molz, F. J., and Lu, S.: Fractional Laplace model for hydraulic conductivity, Geophys. Res. Lett., 31, L08501, https://doi.org/10.1029/2003GL019320, 2004.
Meier, P. M., Carrera, J., and Sanchez-Vila, X.: An evaluation of Jacob's method for the interpretation of pumping tests in heterogeneous formations, Water Resour. Res., 34, 1011–1025, https://doi.org/10.1029/98WR00008, 1998.
Menabde, M. and Sivapalan, M.: Linking space-time variability of river runoff and rainfall fields: a dynamic approach, Adv. Water Resour., 24, 1001–1014, https://doi.org/10.1016/S0309-1708(01)00038-0, 2001.
Menabde, M., Seed, A., and Pegram, G.: A simple scaling model for extreme rainfall, Water Resour. Res., 35, 335–339, https://doi.org/10.1029/1998wr900012, 1999.
Mohymont, B. and Demarée, G. R.: Intensity-duration-frequency curves for precipitation at Yangambi, Congo, derived by means of various models of Montana type, Hydrolog. Sci. J., 51, 239–253, https://doi.org/10.1623/hysj.51.2.239, 2006.
Neuman, S. P.: Apparent/spurious multifractality of absolute increments sampled from truncated fractional Gaussian/Levy noise, Geophys. Res. Lett., 37, L09403, https://doi.org/10.1029/2010gl043314, 2010.
Neuman, S. P.: Apparent multifractality and scale-dependent distribution of data sampled from self-affine processes, Hydrol. Process., 25, 1837–1840, https://doi.org/10.1002/Hyp.7967, 2011.
Neuman, S. P. and Di Federico, V.: Multifaceted nature of hydrogeologic scaling and its interpretation, Rev. Geophys., 41, 1014, https://doi.org/10.1029/2003RG000130, 2003.
Neuman, S. P., Guadagnini, A., Riva, M., and Siena, M.: Recent advances in statistical and scaling analysis of earth and environmental variables, in: Advances in Hydrogeology, edited by: Mishra, P. K. and Kuhlman, K. L., Springer, New York, 2013.
Nguyen, V. T. V., Nguyen, T. D., and Wang, H.: Regional estimation of short duration rainfall extremes, Water Sci. Technol., 37, 15–19, https://doi.org/10.1016/S0273-1223(98)00311-4, 1998.
Nield, D. A.: Connectivity and Effective Hydraulic Conductivity, Transp. Porous Med., 74, 129–132, https://doi.org/10.1007/s11242-007-9185-5, 2008.
Nolan, J.: Maximum likelihood estimation of stable parameters, in: Lévy Processes: Theory and Applications, edited by: Barndorff-Nielsen, O., Mikosch, T., and Resnick, S., Birkhauser, Boston, 2001.
Painter, S.: Flexible scaling model for use in random field simulation of hydraulic conductivity, Water Resour. Res. 37, 1155–1163, 2001.
Pisarenko, V. F. and Sornette, D.: Robust statistical tests of Dragon-Kings beyond power law distributions, Eur. Phys. J.-Special Topics, 205, 95–115, https://doi.org/10.1140/epjst/e2012-01564-8, 2012.
Plenz, D.: Neuronal avalanches and coherence potentials, Eur. Phys. J.-Special Topics, 205, 259–301, https://doi.org/10.1140/epjst/e2012-01575-5, 2012.
Renard, P. and Mariethoz, G.: Special Issues on 20 years of multiple-point statistics: part 1, Math. Geosci., 46, 129–131, https://doi.org/10.1007/s11004-014-9524-3, 2014.
Rigon, R., D'Odorico, P., and Bertoldi, G.: The geomorphic structure of the runoff peak, Hydrol. Earth Syst. Sci., 15, 1853–1863, https://doi.org/10.5194/hess-15-1853-2011, 2011.
Riva, M., Neuman, S. P., and Guadagnini, A.: On the identification of Dragon Kings among extreme-valued outliers, Nonlin. Processes Geophys., 20, 549–561, https://doi.org/10.5194/npg-20-549-2013, 2013a.
Riva, M., Neuman, S. P., Guadagnini, A., and Siena, M.: Anisotropic scaling of berea sandstone log air permeability statistics, Vadose Zone J., 12, https://doi.org/10.2136/Vzj2012.0153, 2013b.
Riva, M., Neuman, S. P., and Guadagnini, A.: Sub-Gaussian model of processes with heavy-tailed distributions applied to air permeabilities of fractured tuff, Stoch. Env. Res. Risk A., 27, 195–207, https://doi.org/10.1007/s00477-012-0576-y, 2013c.
Riva, M., Sanchez-Vila, X., and Guadagnini, A.: Estimation of spatial covariance of log conductivity from particle size data, Water Resour. Res., 50, 5298–5308, https://doi.org/10.1002/2014WR015566, 2014.
Sachs, M., Yoder, M., Turcotte, D., Rundle, J., and Malamud, B.: Black swans, power laws, and dragon-kings: Earthquakes, volcanic eruptions, landslides, wildfires, floods, and SOC models, Eur. Phys. J.-Special Topics, 205, 167–182, https://doi.org/10.1140/epjst/e2012-01569-3, 2012.
Samorodnitsky, G. and Taqqu, M. S.: Stable Non-Gaussian Random Processes, Chapman and Hall, New York, 1994.
Sanchez-Vila, X., Carrera, J., and Girardi, J. P.: Scale effects in transmissivity, J. Hydrol., 183, 1–22, https://doi.org/10.1016/S0022-1694(96)80031-X, 1996.
Schertzer, D. and Lovejoy, S.: Physical Modeling and Analysis of Rain and Clouds by Anisotropic Scaling Multiplicative Processes, J. Geophys. Res.-Atmos., 92, 9693–9714, https://doi.org/10.1029/Jd092id08p09693, 1987.
Schoenberg, F. and Patel, R.: Comparison of Pareto and tapered Pareto distributions for environmental phenomena, Eur. Phys. J.-Special Topics, 205, 159–166, https://doi.org/10.1140/epjst/e2012-01568-4, 2012.
Siena, M., Guadagnini, A., Riva, M., and Neuman, S. P.: Extended power-law scaling of air permeabilities measured on a block of tuff, Hydrol. Earth Syst. Sci., 16, 29–42, https://doi.org/10.5194/hess-16-29-2012, 2012.
Siena, M., Guadagnini, A., Riva, M., Bijeljic, B., Pereira Nunes, J. P., and Blunt, M. J.: Statistical scaling of pore-scale Lagrangian velocities in natural porous media, Phys. Rev. E, 90, 023013, https://doi.org/10.1103/PhysRevE.90.023013, 2014.
Süveges, M. and Davison, A.: A case study of a "Dragon-King": The 1999 Venezuelan catastrophe, Eur. Phys. J.-Special Topics, 205, 131–146, https://doi.org/10.1140/epjst/e2012-01566-6, 2012.
Trefry, C. M., Watkins, D. W., and Johnson, D.: Regional rainfall frequency analysis for the state of Michigan, J. Hydrol. Eng., 10, 437–449, https://doi.org/10.1061/(Asce)1084-0699(2005)10:6(437), 2005.
Tronicke, J. and Holliger, K.: Quantitative integration of hydrogeophysical data: Conditional geostatistical simulation for characterizing heterogeneous alluvial aquifers, Geophysics, 70, H1–H10, https://doi.org/10.1190/1.1925744, 2005.
Veneziano, D. and Furcolo, P.: Multifractality of rainfall and scaling of intensity-duration-frequency curves, Water Resour. Res., 38, 1306, https://doi.org/10.1029/2001WR000372, 2002.
Veneziano, D. and Yoon, S.: Rainfall extremes, excesses, and intensity-duration-frequency curves: A unified asymptotic framework and new nonasymptotic results based on multifractal measures, Water Resour. Res., 49, 4320–4334, https://doi.org/10.1002/wrcr.20352, 2013.
Veneziano, D., Langousis, A., and Lepore, C.: New asymptotic and preasymptotic results on rainfall maxima from multifractal theory, Water Resour. Res., 45, W11421, https://doi.org/10.1029/2009wr008257, 2009.
Vuković, M. and Soro, A.: Determination of hydraulic conductivity of porous media from grain-size composition, Water Resources Publications, ISBN:0-918334-77-2, 1992.
Wen, X.-H. and Gómez-Hernández, J. J.: Numerical modeling of macrodispersion in heterogeneous media – a comparison of multi-Gaussian and non-multi-Gaussian models, J. Contam. Hydrol., 30, 129–156, https://doi.org/10.1016/S0169-7722(97)00035-1, 1998.
West, M.: On scale mixtures of normal distributions, Biometrika, 74, 646–648, https://doi.org/10.1093/biomet/74.3.646, 1987.
Western, A. W., Blöschl, G., and Grayson, R. B.: Toward capturing hydrologically significant connectivity in spatial patterns, Water Resour. Res., 37, 83–97, https://doi.org/10.1029/2000WR900241, 2001.
Willems, P.: Compound intensity/duration/frequency-relationships of extreme precipitation for two seasons and two storm types, J. Hydrol., 233, 189–205, https://doi.org/10.1016/S0022-1694(00)00233-X, 2000.
Yu, P. S., Yang, T. C., and Lin, C. S.: Regional rainfall intensity formulas based on scaling property of rainfall, J. Hydrol., 295, 108–123, https://doi.org/10.1016/j.jhydrol.2004.03.003, 2004.
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.
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.
Previously we have shown that many earth-system and other variables can be viewed as samples...
