Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4835-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-4835-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note: Water table mapping accounting for river–aquifer connectivity and human pressure
Mathias Maillot
CORRESPONDING AUTHOR
Geosciences Department, MINES ParisTech, PSL University, Fontainebleau, France
EPTB Seine Grands Lacs, Paris, France
Nicolas Flipo
CORRESPONDING AUTHOR
Geosciences Department, MINES ParisTech, PSL University, Fontainebleau, France
Agnès Rivière
Geosciences Department, MINES ParisTech, PSL University, Fontainebleau, France
Nicolas Desassis
Geosciences Department, MINES ParisTech, PSL University, Fontainebleau, France
Didier Renard
Geosciences Department, MINES ParisTech, PSL University, Fontainebleau, France
Patrick Goblet
Geosciences Department, MINES ParisTech, PSL University, Fontainebleau, France
Marc Vincent
EPTB Seine Grands Lacs, Paris, France
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Rémi Valois, Agnès Rivière, Jean-Michel Vouillamoz, and Gabriel C. Rau
Hydrol. Earth Syst. Sci., 28, 1041–1054, https://doi.org/10.5194/hess-28-1041-2024, https://doi.org/10.5194/hess-28-1041-2024, 2024
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Characterizing aquifer systems is challenging because it is difficult to obtain in situ information. They can, however, be characterized using natural forces such as Earth tides. Models that account for more complex situations are still necessary to extend the use of Earth tides to assess hydromechanical properties of aquifer systems. Such a model is developed in this study and applied to a case study in Cambodia, where a combination of tides was used in order to better constrain the model.
Shuaitao Wang, Vincent Thieu, Gilles Billen, Josette Garnier, Marie Silvestre, Audrey Marescaux, Xingcheng Yan, and Nicolas Flipo
Geosci. Model Dev., 17, 449–476, https://doi.org/10.5194/gmd-17-449-2024, https://doi.org/10.5194/gmd-17-449-2024, 2024
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This paper presents unified RIVE v1.0, a unified version of the freshwater biogeochemistry model RIVE. It harmonizes different RIVE implementations, providing the referenced formalisms for microorganism activities to describe full biogeochemical cycles in the water column (e.g., carbon, nutrients, oxygen). Implemented as open-source projects in Python 3 (pyRIVE 1.0) and ANSI C (C-RIVE 0.32), unified RIVE v1.0 promotes and enhances collaboration among research teams and public services.
Masihullah Hasanyar, Thomas Romary, Shuaitao Wang, and Nicolas Flipo
Biogeosciences, 20, 1621–1633, https://doi.org/10.5194/bg-20-1621-2023, https://doi.org/10.5194/bg-20-1621-2023, 2023
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The results of this study indicate that biodegradable dissolved organic matter is responsible for oxygen depletion at low flow during summer seasons when heterotrophic bacterial activity is so intense. Therefore, the dissolved organic matter must be well measured in the water monitoring networks in order to have more accurate water quality models. It also advocates for high-frequency data collection for better quantification of the uncertainties related to organic matter.
Nicolas Flipo, Nicolas Gallois, and Jonathan Schuite
Geosci. Model Dev., 16, 353–381, https://doi.org/10.5194/gmd-16-353-2023, https://doi.org/10.5194/gmd-16-353-2023, 2023
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A new approach is proposed to fit hydrological or land surface models, which suffer from large uncertainties in terms of water partitioning between fast runoff and slow infiltration from small watersheds to regional or continental river basins. It is based on the analysis of hydrosystem behavior in the frequency domain, which serves as a basis for estimating water flows in the time domain with a physically based model. It opens the way to significant breakthroughs in hydrological modeling.
E. Lalot, F. Curie, V. Wawrzyniak, F. Baratelli, S. Schomburgk, N. Flipo, H. Piegay, and F. Moatar
Hydrol. Earth Syst. Sci., 19, 4479–4492, https://doi.org/10.5194/hess-19-4479-2015, https://doi.org/10.5194/hess-19-4479-2015, 2015
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This work shows that satellite thermal infrared images (LANDSAT) can be used to locate and quantify groundwater discharge into a large river (Loire River, France - 100 to 300 m wide). Groundwater discharge rate is found to be highly variable with time and space and maximum during flow recession periods and in winter. The main identified groundwater discharge area into the Loire River corresponds to a known discharge area of the Beauce aquifer.
N. Flipo, A. Mouhri, B. Labarthe, S. Biancamaria, A. Rivière, and P. Weill
Hydrol. Earth Syst. Sci., 18, 3121–3149, https://doi.org/10.5194/hess-18-3121-2014, https://doi.org/10.5194/hess-18-3121-2014, 2014
Related subject area
Subject: Groundwater hydrology | Techniques and Approaches: Remote Sensing and GIS
Influence of intensive agriculture and geological heterogeneity on the recharge of an arid aquifer system (Saq–Ram, Arabian Peninsula) inferred from GRACE data
Evaluating downscaling methods of GRACE (Gravity Recovery and Climate Experiment) data: a case study over a fractured crystalline aquifer in southern India
Preprocessing approaches in machine-learning-based groundwater potential mapping: an application to the Koulikoro and Bamako regions, Mali
Applicability of Landsat 8 thermal infrared sensor for identifying submarine groundwater discharge springs in the Mediterranean Sea basin
Unsaturated zone model complexity for the assimilation of evapotranspiration rates in groundwater modelling
Estimating long-term groundwater storage and its controlling factors in Alberta, Canada
Recent changes in terrestrial water storage in the Upper Nile Basin: an evaluation of commonly used gridded GRACE products
Mapping irrigation potential from renewable groundwater in Africa – a quantitative hydrological approach
How to identify groundwater-caused thermal anomalies in lakes based on multi-temporal satellite data in semi-arid regions
Statistical analysis to characterize transport of nutrients in groundwater near an abandoned feedlot
Hydrogeological settings of a volcanic island (San Cristóbal, Galapagos) from joint interpretation of airborne electromagnetics and geomorphological observations
Shallow groundwater effect on land surface temperature and surface energy balance under bare soil conditions: modeling and description
Reconnoitering the effect of shallow groundwater on land surface temperature and surface energy balance using MODIS and SEBS
Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data
Groundwater use for irrigation – a global inventory
Pierre Seraphin, Julio Gonçalvès, Bruno Hamelin, Thomas Stieglitz, and Pierre Deschamps
Hydrol. Earth Syst. Sci., 26, 5757–5771, https://doi.org/10.5194/hess-26-5757-2022, https://doi.org/10.5194/hess-26-5757-2022, 2022
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This study assesses the detailed water budget of the Saq–Ram Aquifer System using satellite gravity data. Spatial heterogeneities regarding the groundwater recharge were identified: (i) irrigation excess is great enough to artificially recharge the aquifer; and (ii) volcanic lava deposits, which cover 8% of the domain, contribute to more than 50% of the total natural recharge. This indicates a major control of geological context on arid aquifer recharge, which has been poorly discussed hitherto.
Claire Pascal, Sylvain Ferrant, Adrien Selles, Jean-Christophe Maréchal, Abhilash Paswan, and Olivier Merlin
Hydrol. Earth Syst. Sci., 26, 4169–4186, https://doi.org/10.5194/hess-26-4169-2022, https://doi.org/10.5194/hess-26-4169-2022, 2022
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This paper presents a new validation method for the downscaling of GRACE (Gravity Recovery and Climate Experiment) data. It measures the improvement of the downscaled data against the low-resolution data in both temporal and, for the first time, spatial domains. This validation method offers a standardized and comprehensive framework to interpret spatially and temporally the quality of the downscaled products, supporting future efforts in GRACE downscaling methods.
Víctor Gómez-Escalonilla, Pedro Martínez-Santos, and Miguel Martín-Loeches
Hydrol. Earth Syst. Sci., 26, 221–243, https://doi.org/10.5194/hess-26-221-2022, https://doi.org/10.5194/hess-26-221-2022, 2022
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Many communities in the Sahel rely solely on groundwater. We develop a machine learning technique to map areas of groundwater potential. Algorithms are trained to detect areas where there is a confluence of factors that facilitate groundwater occurrence. Our contribution focuses on using variable scaling to minimize expert bias and on testing our results beyond standard metrics. This approach is illustrated through its application to two administrative regions of Mali.
Sònia Jou-Claus, Albert Folch, and Jordi Garcia-Orellana
Hydrol. Earth Syst. Sci., 25, 4789–4805, https://doi.org/10.5194/hess-25-4789-2021, https://doi.org/10.5194/hess-25-4789-2021, 2021
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Satellite thermal infrared (TIR) remote sensing is a useful method for identifying coastal springs in karst aquifers both locally and regionally. The limiting factors include technical limitations, geological and hydrogeological characteristics, environmental and marine conditions, and coastal geomorphology. Also, it can serve as a tool to use for a first screening of the coastal water surface temperature to identify possible thermal anomalies that will help narrow the sampling survey.
Simone Gelsinari, Valentijn R. N. Pauwels, Edoardo Daly, Jos van Dam, Remko Uijlenhoet, Nicholas Fewster-Young, and Rebecca Doble
Hydrol. Earth Syst. Sci., 25, 2261–2277, https://doi.org/10.5194/hess-25-2261-2021, https://doi.org/10.5194/hess-25-2261-2021, 2021
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Estimates of recharge to groundwater are often driven by biophysical processes occurring in the soil column and, particularly in remote areas, are also always affected by uncertainty. Using data assimilation techniques to merge remotely sensed observations with outputs of numerical models is one way to reduce this uncertainty. Here, we show the benefits of using such a technique with satellite evapotranspiration rates and coupled hydrogeological models applied to a semi-arid site in Australia.
Soumendra N. Bhanja, Xiaokun Zhang, and Junye Wang
Hydrol. Earth Syst. Sci., 22, 6241–6255, https://doi.org/10.5194/hess-22-6241-2018, https://doi.org/10.5194/hess-22-6241-2018, 2018
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The paper presents groundwater storage conditions in all the major river basins across Alberta, Canada. We used remote-sensing data and investigate their performance using available ground-based data of groundwater level monitoring, storage coefficients, aquifer thickness, and surface water measurements. The water available for groundwater recharge has been studied in detail. Separate approaches have been followed for confined and unconfined aquifers for estimating groundwater storage.
Mohammad Shamsudduha, Richard G. Taylor, Darren Jones, Laurent Longuevergne, Michael Owor, and Callist Tindimugaya
Hydrol. Earth Syst. Sci., 21, 4533–4549, https://doi.org/10.5194/hess-21-4533-2017, https://doi.org/10.5194/hess-21-4533-2017, 2017
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This study tests the phase and amplitude of GRACE TWS signals in the Upper Nile Basin from five commonly used gridded products (NASA's GRCTellus: CSR, JPL, GFZ; JPL-Mascons; GRGS) using in situ data and soil moisture from the Global Land Data Assimilation System. Resolution of changes in groundwater storage (ΔGWS) from GRACE is greatly constrained by the uncertain simulated soil moisture storage and the low amplitude in ΔGWS observed in deeply weathered crystalline rocks in the Upper Nile Basin.
Y. Altchenko and K. G. Villholth
Hydrol. Earth Syst. Sci., 19, 1055–1067, https://doi.org/10.5194/hess-19-1055-2015, https://doi.org/10.5194/hess-19-1055-2015, 2015
U. Mallast, R. Gloaguen, J. Friesen, T. Rödiger, S. Geyer, R. Merz, and C. Siebert
Hydrol. Earth Syst. Sci., 18, 2773–2787, https://doi.org/10.5194/hess-18-2773-2014, https://doi.org/10.5194/hess-18-2773-2014, 2014
P. Gbolo and P. Gerla
Hydrol. Earth Syst. Sci., 17, 4897–4906, https://doi.org/10.5194/hess-17-4897-2013, https://doi.org/10.5194/hess-17-4897-2013, 2013
A. Pryet, N. d'Ozouville, S. Violette, B. Deffontaines, and E. Auken
Hydrol. Earth Syst. Sci., 16, 4571–4579, https://doi.org/10.5194/hess-16-4571-2012, https://doi.org/10.5194/hess-16-4571-2012, 2012
F. Alkhaier, G. N. Flerchinger, and Z. Su
Hydrol. Earth Syst. Sci., 16, 1817–1831, https://doi.org/10.5194/hess-16-1817-2012, https://doi.org/10.5194/hess-16-1817-2012, 2012
F. Alkhaier, Z. Su, and G. N. Flerchinger
Hydrol. Earth Syst. Sci., 16, 1833–1844, https://doi.org/10.5194/hess-16-1833-2012, https://doi.org/10.5194/hess-16-1833-2012, 2012
U. Mallast, R. Gloaguen, S. Geyer, T. Rödiger, and C. Siebert
Hydrol. Earth Syst. Sci., 15, 2665–2678, https://doi.org/10.5194/hess-15-2665-2011, https://doi.org/10.5194/hess-15-2665-2011, 2011
S. Siebert, J. Burke, J. M. Faures, K. Frenken, J. Hoogeveen, P. Döll, and F. T. Portmann
Hydrol. Earth Syst. Sci., 14, 1863–1880, https://doi.org/10.5194/hess-14-1863-2010, https://doi.org/10.5194/hess-14-1863-2010, 2010
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