Search

Your search keyword '"Guillaumot, Luca"' showing total 44 results
Start Over Author "Guillaumot, Luca"
44 results on '"Guillaumot, Luca"'

2. Global hydrological models continue to overestimate river discharge.

Author

Heinicke, Stefanie, Volkholz, Jan, Schewe, Jacob, Gosling, Simon N, Müller Schmied, Hannes, Zimmermann, Sandra, Mengel, Matthias, Sauer, Inga J, Burek, Peter, Chang, Jinfeng, Kou-Giesbrecht, Sian, Grillakis, Manoli, Guillaumot, Luca, Hanasaki, Naota, Koutroulis, Aristeidis, Otta, Kedar, Qi, Wei, Satoh, Yusuke, Stacke, Tobias, and Yokohata, Tokuta

Published
2024
Full Text
View/download PDF

5. Water circles – a tool to assess and communicate the water cycle

Author

Smilovic, Mikhail M, primary, Burek, Peter, additional, Fridman, Dor, additional, Guillaumot, Luca, additional, de Bruijn, Jens, additional, Greve, Peter, additional, Wada, Yoshihide, additional, Tang, Ting, additional, Kronfuss, Matthias, additional, Hanus, Sarah, additional, Tramberend, Sylvia, additional, and Kahil, Taher, additional

Published
2023
Full Text
View/download PDF

24. Stratifed groundwater flow contribution to streams modulates seasonal variations of streamwater transit times

Author

Marçais, Jean, Derry, Louis, Guillaumot, Luca, Aquilina, Luc, de Dreuzy, Jean-Raynald, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Cornell University [New York], Institut de Physique du Globe de Paris (IPGP (UMR_7154)), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), International Institute for Applied Systems Analysis [Laxenburg] (IIASA), Géosciences Rennes (GR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Dubigeon, Isabelle

Subjects
[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

25. GEB v0.1: A large-scale agent-based socio-hydrological model – simulating 10 million individual farming households in a fully distributed hydrological model.

Author

de Bruijn, Jens A., Smilovic, Mikhail, Burek, Peter, Guillaumot, Luca, Wada, Yoshihide, and Aerts, Jeroen C. J. H.

Subjects
HYDROLOGIC models, HOUSEHOLDS, IRRIGATION water, FARMS, COMMUNITIES, ECOSYSTEMS, PHYSIOLOGICAL adaptation
Abstract

Humans play a large role in the hydrological system; for example, by extracting large amounts of water for irrigation, often resulting in water stress and ecosystem degradation. By implementing large-scale adaptation measures, such as the construction of irrigation reservoirs, water stress and ecosystem degradation can be reduced. Yet we know that many decisions, such as the adoption of more effective irrigation techniques or changing crop types, are made at the farm level by a heterogeneous farmer population. While these decisions are often advantageous for an individual farmer or their community, detrimental effects are frequently experienced downstream. Therefore, to fully comprehend how the humannatural water system evolves over time and space, and to explore which interventions are suitable to reduce water stress, it is important to consider human behaviour and feedbacks to the hydrological system simultaneously at the local household and large basin scales. Therefore, we present the Geographical, Environmental and Behavioural model (GEB), a coupled agentbased hydrological model that simulates the behaviour and daily bi-directional interaction of up to ~10 million individual farm households with the hydrological system on a personal laptop. GEB is dynamically linked with the spatially distributed grid-based hydrological model CWatM at 30’’ resolution (< 1km at the equator). Because many small-holder farmer fields are much smaller than 1×1 km, CWatM was specifically adapted to implement dynamically sized hydrological response units (HRUs) at the farm level, providing each agent with an independently operated hydrological environment. While the model could be applied globally, we explore its implementation in the heavily managed Krishna basin in India, which encompasses ~8% of India’s land area and ~11.1 million farmers. Here, we show how six combinations of storylines with endogenous and exogenous drivers of adaptation affect both the hydrological system and the farmer population. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

26. GEB v0.1: A large-scale agent-based socio-hydrological model – simulating 10 million individual farming households in a fully distributed hydrological model.

Author

Bruijn, Jens A. de, Smilovic, Mikhail, Burek, Peter, Guillaumot, Luca, Wada, Yoshihide, and Aerts, Jeroen C. J. H.

Subjects
HOUSEHOLDS, HYDROLOGY, HUMAN behavior, FARMERS, FARM size
Abstract

Humans play a large role in the hydrological system; for example, by extracting large amounts of water for irrigation, often resulting in water stress and ecosystem degradation. By implementing large-scale adaptation measures, such as the construction of irrigation reservoirs, water stress and ecosystem degradation can be reduced. Yet we know that many decisions, such as the adoption of more effective irrigation techniques or changing crop types, are made at the farm level by a heterogeneous farmer population. While these decisions are often advantageous for an individual farmer or their community, detrimental effects are frequently experienced downstream. Therefore, to fully comprehend how the human-natural water system evolves over time and space, and to explore which interventions are suitable to reduce water stress, it is important to consider human behaviour and feedbacks to the hydrological system simultaneously at the local household and large basin scales. Therefore, we present the Geographical, Environmental and Behavioural model (GEB), a coupled agent-based hydrological model that simulates the behaviour and daily bi-directional interaction of up to ~10 million individual farm households with the hydrological system on a personal laptop. GEB is dynamically linked with the spatially distributed grid-based hydrological model CWatM at 30" resolution (< 1 km at the equator). Because many small-holder farmer fields are much smaller than 1×1 km, CWatM was specifically adapted to implement dynamically sized hydrological response units (HRUs) at the farm level, providing each agent with an independently operated hydrological environment. While the model could be applied globally, we explore its implementation in the heavily managed Krishna basin in India, which encompasses ~8 % of India's land area and ~11.1 million farmers. Here, we show how six combinations of storylines with endogenous and exogenous drivers of adaptation affect both the hydrological system and the farmer population. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

27. Coupling a large-scale hydrological model (CWatM) with a high-resolution groundwater flow model to assess the impact of irrigation at regional scale.

Author

Guillaumot, Luca, Smilovic, Mikhail, Burek, Peter, de Bruijn, Jens, Greve, Peter, Kahil, Taher, and Wada, Yoshihide

Subjects
*GROUNDWATER flow, *GROUNDWATER recharge, *HYDROLOGIC models, *WATER supply, *WATER table, *CLIMATE feedbacks, *IRRIGATION, *AQUIFERS
Abstract

In the context of changing climate and increasing water demand, large-scale hydrological models are helpful for understanding and projecting future water resources across scales. Groundwater is a critical freshwater resource and strongly controls river flow throughout the year. It is also essential for ecosystems and contributes to evapotranspiration, resulting in climate feedback. However, groundwater systems worldwide are quite diverse, including thick multi-layer aquifers and thin heterogeneous aquifers. Recently, efforts have been made to improve the representation of groundwater systems in largescale hydrological models. The evaluation of the accuracy of these model outputs is challenging because: (1) they are applied at much coarser resolutions than hillslope scale, (2) they simplify geological structures generally known at local scale, and (3) they do not adequately include local water management practices (mainly groundwater pumping). Here, we apply a large-scale hydrological model (CWatM), coupled with the groundwater flow model MODFLOW, in two different climatic, geological, and socioeconomic regions, the Seewinkel area (Austria) and the Bhima basin (India). The coupled model enables simulation of the impact of the water table on groundwater-soils and groundwater-rivers exchanges, groundwater recharge through leaking canals, and groundwater pumping. This regional scale analysis enables assessment of the model's ability to simulate water tables at fine spatial resolutions (1 km for CWatM, 100-250 m for MODFLOW) and when groundwater pumping is well estimated. Evaluating large-scale models remains challenging, but the results show that the reproduction of (1) average water table fluctuations and (2) water table depths without bias can be a benchmark objective of such models. We found that subgrid resolution (river incision) is the main factor that affects water table depth bias, while pumping affects time fluctuations. Finally, we use the model to assess the impact of groundwater-based irrigation pumping on evapotranspiration, groundwater recharge, and water table observations from boreholes. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

28. Frequency domain water table fluctuations reveal recharge in fractured aquifers depends on both intense and seasonal rainfall and unsaturated zone thickness.

Author

Guillaumot, Luca, Longuevergne, Laurent, Marçais, Jean, Lavenant, Nicolas, and Bour, Olivier

Abstract

Groundwater recharge is difficult to estimate, especially in fractured aquifers, because of the spatial variability of the soil properties and because of the lack of data at basin scale. A relevant method, known as the WTF method, consists in inferring recharge directly from the water table fluctuations (WTF) observed in boreholes. However, the WTF method neglects the impact of lateral groundwater redistribution in the aquifer, i.e. assumes that all the WTF are attributable to recharge. In this study, we developed the WTF approach in the frequency domain to better consider groundwater lateral flow, which quickly redistributes the inpulse of recharge and mitigates the link between WTF and recharge. First, we calibrated a 1D analytical groundwater model to estimate hydrodynamic parameters at each borehole. These parameters were defined from the WTF recorded for several years, independently of prescribed potential recharge. Second, calibrated models are reversed analytically in the frequency domain to estimate recharge fluctuations (RF) at weekly to monthly scales from the observed WTF. Models were tested on two twin sites with similar climate, fractured aquifer, and land use but different hydrogeologic settings: one has been operated as a pumping site for the last 25 years (Ploemeur, France) while the second has not been perturbed by pumping (Guidel). Results confirm the important role of rainfall temporal distribution to generate recharge. While all rainfall contribute to recharge, the ratio of recharge to rainfall minus potential evapotranspiration is frequency dependent, varying between 20-30 % at periods <10 days, 30-50 % at monthly scale, and reaching 75 % at seasonal time scales. We further show that the unsaturated zone thickness controls the intensity and timing of RF. Overall, this approach contributes to better assess recharge and enable to improve the representation of groundwater systems within hydrological models. In spite of the heterogeneous nature of aquifers, parameters controlling WTF can be inferred from WTF time series. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

33. Hyper-resolution hydrological modeling of a managed watershed: The application of CWatM at 30 arc-seconds resolution in the Upper Bhima basin

Author

Smilovic, Mikhail, Burek, Peter, Guillaumot, Luca, Wada, Yoshihide, Lee, Jun Young, Gorelick, Steven, International Institute for Applied Systems Analysis [Laxenburg] (IIASA), Géosciences Rennes (GR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Stanford University, American Geophysical Union, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), and Dubigeon, Isabelle

Subjects
[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
Abstract

International audience; The Community Water Model (CWatM) is an open-source hydrological model designed to assess water availability, anthropogenic and non-anthropogenic water demands, and environmental needs. CWatM is applied at a hyper-resolution (less than 1 kilometer) to extend the application of the model to relatively smaller regions and to better understand the increasing competition of water resources in the context of rapid urbanization. The results are demonstrated for the Upper Bhima basin in India of around 50,000 km2, where the region is already experiencing competition for water resources and increasing demands will continue to stress allocations between urban and agricultural sectors. CWatM has been applied previously from 5-30 arc minute resolutions, and this study presents the developments involved in increasing the resolution to 30 arc-seconds (< 1 km) and a coupling to the MODFLOW groundwater model at 500 m resolution. These developments include better simulating surface water, reservoir, and groundwater interactions, irrigation water management, and crop-water use. With the new features of the model, we can better assess the interaction of changes in land cover, climate, water use, reservoir management, irrigation water management and distribution, and groundwater management.

Published
2019

36. Comment modéliser les systèmes aquifères au sein du cycle hydrologique ? : une approche « multi-observables » à différentes échelles

Author

Guillaumot, Luca, Géosciences Rennes (GR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes, Olivier Bour, Laurent Longuevergne, STAR, ABES, Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), and Université Rennes 1

Subjects
Informative content, Transitoire, Transient, Hétérogénéité, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, Hydrological modelling, Modélisation hydrologique, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Heterogeneity, Aquifère, Groundwater, Contenu informatif
Abstract

Groundwater systems (GW) constitute an important part of the hydrological cycle. GW transfer water infiltrated through soils on variable distances. After a characteristic time ranging from the month to thousand of years, GW reach the surface supporting rivers and evapotranspiration. Thus, they are a major resource for human and ecosystems. PredictingGWresponse to human and climate pressures is limited by (1) the scarcity of direct information on the highly heterogeneous geological media (2) the complexity of surface-depth exchanges. So, it seems necessary to develop models representing at best the processes at different spatiotemporal scales. To address this issue, we study the informative content of different observation types (piezometry, streamflow, surface deformation. . . ) to assess how they can improve models parametrization. Our work is based on GW modeling of the Ploemeur site (local scale) and of the Rhine basin (continental scale). For both approaches, simple models are developed, using analytical or numerical solutions. Also, the ModFlow model was coupled to an hydrological model. At small scale, results show the interest of temporal and multidisciplinary data to better constrain processes. At large scale, the developed model, as well as observations, allows to precise the role ofGWfor water availability on surface. Both approaches highlight a flows control at different scales by topography, geology and heterogeneity., Les systèmes aquifères constituent la partie souterraine du cycle hydrologique. Ils transfèrent les pluies infiltrées à travers les sols sur des distances variables. Après un temps caractéristique de l’ordre du mois au millier d’années, les eaux souterraines regagnent la surface en alimentant les rivières et en satisfaisant en partie l’évapotranspiration. Les aquifères sont ainsi une ressource en eau majeure pour l’Homme et les écosystèmes. La prédiction de leur réponse aux pressions anthropiques et climatiques se heurte à deux difficultés (1) la faible densité d’informations directes sur les milieux géologiques et leur grande hétérogénéité (2) la complexité des échanges entre la surface et la profondeur. L’enjeu est donc de développer des modèles représentant au mieux les processus aux différentes échelles spatiotemporelles. Pour aborder cette question, nous étudions le contenu informatif de différents types d’observables (piézométrie, débit de rivière, déformation de surface...) afin de déterminer comment ils peuvent améliorer la paramétrisation des modèles. Notre travail s’appuie sur la modélisation hydrologique du site de Ploemeur (échelle locale) et du bassin du Rhin (échelle continentale). Dans les deux cas, des modèles simples sont développés en utilisant des solutions analytiques et numériques. Le modèle ModFlow a également été couplé à un modèle hydrologique. À petite échelle, les résultats illustrent l’intérêt de différents types de données transitoires pour contraindre les processus. À grande échelle, le modèle développé ainsi que les observables permettent d’affiner le rôle des systèmes aquifères dans la disponibilité de l’eau en surface. Les deux approches illustrent un contrôle des flux à différentes échelles par la topographie, la géologie et l’hétérogénéité.

Published
2018

37. On the co-evolution of geodetic observations and Earth System Models

Author

Longuevergne, Laurent, Feng, Wei, Guillaumot, Luca, Bour, Olivier, Géosciences Rennes (GR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Institute of Geodesy & Geophysics, Chinese Academy of Sciences [Beijing] (CAS), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Abstract

International audience; While surface freshwater storage components are easily observable components of our landscapes, a major partof continental water resides and flow below ground in groundwater systems (GW) and is broadly inaccessible todirect observations. GW sustain ecosystems with high quality freshwater, support food security, however, they arehardly represented within global land models. The main difficulties lie in the long response time of GW and thecomplexity water flow within heterogeneous geological layers.In this presentation, we show how geodesy, i.e. the study of the Earth’s shape and gravity field, can support theimplementation of GW within models. First, gravity observations from GRACE have revolutionized our vision ofthe water cycle, by its sensitivity to total water storage changes. Another fundamental processes lies in the physicalinteractions between water and rock: fluid pressure gradients is the engine for water flow, but also generate adeformation that is measurable at the surface with current geodetic tools (GPS). New opportunities also emergewith the development of seismic noise monitoring, highly sensitive water pressure changes. All these instrumentsprovide valuable information on shallow and confined GW storage changes and contribution to water cycle, on avariety of spatial scales, from 10 km to 1000s km scales. Considering the development of dense internationalnetworks (GPS, seismic stations), and new satellite missions (InSAR from Sentinel, GRACE-FO), there is a wideopportunity to improve the representation of GW within global models.We support the analysis with recent examples at all scales, and show the link between the current knowledge ofwater flow and geodetic analyses. While a goal of the geodesy is to provide independent measures of the watercycle, it is clear that an iterative analysis is the most effective. It is anticipated that global models will guide theformulation of geodetic water storage variation estimates as, in turn; geodetic estimates will contribute to globalhydrological modeling.

Published
2018

40. Long-term hydraulic behavior of heterogeneous aquifers under transient conditions

Author

Guillaumot, Luca, Longuevergne, Laurent, Bour, Olivier, Géosciences Rennes (GR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), European Geosciences Union, Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Dubigeon, Isabelle, Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)

Subjects
[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
Abstract

International audience; With the increasing anthropic and climatic pressure on water resources, knowledge of recharge mechanisms andwater transfer is of major importance to better understand destabilization of natural hydrological systems to facepossible evolutions in the future. The equivalent response of a groundwater system is generally interpreted ascomplex, non-linear and hysteretic. Another point of view would consider the current response as the superpositionof numerous transient events in a complex medium, which necessarily depends on the past trajectory of the GWand boundary conditions.Here, we present a multidisciplinary approach to better model long-term system behavior under anthropic andclimatic destabilization. Several parsimonious analytical and numerical models were derived considering severalflow structures and boundary conditions. These models are set up on a pluri-kilometric aquifer system in fracturedcontext on the Ploemeur site (Britany, H+ hydrogeological) and constrained by various long-term observationssuch as hydraulic, chemical and deformation data. Two neighboring systems in a similar geological context arecompared; one being pumped at a rate of 1.1 Mm3/year since 1991, the other one is still in a natural state. Ourmodels could predict the long-term behavior of hydrological systems and estimate the water balance perturbationand natural flows re-distribution induced by pumping. We show importance of multiple observation types to yieldbetter predictions and the critical importance to represent boundary conditions for GW management.

Published
2017

41. Apport de l’inclinométrie dans lacaractérisation de la dynamique saisonnièredes aquifères fracturés et de leur recharge

Author

Courtois, Quentin, Longuevergne, Laurent, Guillaumot, Luca, Schuite, Jonathan, Lavenant, Nicolas, Boudin, Frédérick, Bour, Olivier, Géosciences Rennes (GR), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Laboratoire de géologie de l'ENS (LGENS), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Société Géologique de France, Dubigeon, Isabelle, Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL)

Subjects
aquifères fracturés, recharge, [SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, inclinométrie, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, inclinomètre
Abstract

National audience; Les aquifères cristallins fracturés représentent une importanteressource en eau, mais sont généralement difficiles à caractériserdu fait de leur hétérogénéité et de la dépendance de leur propriétéshydrodynamiques à l’échelle d’investigation. En particulier, un enjeumajeur pour l’étude et l’exploitation pérenne de ces réservoirsest la description des processus, des temps caractéristiques et desflux de leur recharge naturelle. Dans ce travail, nous exploronsle potentiel de l’analyse couplée de mesures inclinométriques etpiézométriques long-terme pour répondre à cet enjeu. En effet,les inclinomètres permettent de mesurer d’infimes déformationsde la surface du sol et sont très sensibles aux flux d’eau souterraine,même lointains. Nous présentons les données pluriannuellesdes inclinomètres longue-base de l’Observatoire hydrogéologiquede Ploemeur, Morbihan (site SOERE, réseau H+), dont la grandestabilité rend possible le suivi continu des cycles saisonniers del’aquifère fracturé. Puis, nous proposons une interprétation conjointedes données inclinométriques et piézométriques à l’aide d’unmodèle hydromécanique 1D simple, qui suffit toutefois d’expliquerde manière satisfaisante les observations et le fonctionnementsaisonnier au premier ordre du système. Nous montrons ainsique l’inclinomètre est sensible non seulement aux propriétés hydrodynamiqueslarge échelle de l’aquifère, mais aussi aux flux dela recharge ainsi que sa modalité (ponctuelle versus diffuse). Cesrésultats révèlent de façon inédite que le suivi long-terme de ladéformation en surface apporte une information très complémentaireà la réponse piézométrique d’un aquifère fracturé, permettantainsi d’introduire une précieuse contrainte qualitative et quantitativesur sa recharge.

Published
2016

42. Comportement à long terme d’un aquifèrehétérogène dans des conditions transitoires

Author

Guillaumot, Luca, Longuevergne, Laurent, Bour, Olivier, Lavenant, Nicolas, Géosciences Rennes (GR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Société Géologique de France, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Dubigeon, Isabelle, Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)

Subjects
hydrogéologie, perturbations, [SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, transitoire, long terme
Abstract

National audience; Avec l’augmentation de la consommation en eau, la connaissancedes mécanismes de recharge dans les aquifères hétérogènesdevient d’une importance majeure. En particulier il est nécessairede comprendre comment la pression anthropique et les variationsclimatiques déstabilisent les systèmes naturels afin de faire face àune possible évolution dans le temps. La réponse équivalente d’unsystème aquifère est généralement interprétée comme complexe,non-linéaire et hystérétique. Un autre point de vue considérerait laréponse actuelle comme la superposition de nombreux événementstransitoires en milieu complexe et donc dépendante de l’état passéde l’aquifère et des conditions limites.Ici, nous présentons une méthode pour modéliser et caractériserl’impact à long terme des déstabilisations anthropiques et climatiques.En effet l’état actuel d’un aquifère peut se reconstruirecomme l’impact cumulé des anciennes conditions limites, qui sontnaturellement considérées comme non-stationnaires. Nous présentonsplusieurs modèles semi-analytiques et numériques basés surdifférents types de conditions aux limites.Ces modèles sont employés pour interpréter la réponse hydrauliqued’un système aquifère plurikilométrique en domaine fracturé, ense basant sur 25 ans de données piézométriques. Le terrain expérimentalfait partie du réseau SOERE (H+) et se situe à Ploemeur(Morbihan). Deux systèmes en contexte géologique similairesont comparés, l’un étant pompé à un débit de 1,1 Mm3/andepuis 1991, l’autre demeurant encore à l’état naturel. Nosmodèles pourraient prédire le comportement des systèmes hydrogéologiquesen réponse à la variabilité climatique et estimer laperturbation du bilan hydrologique et des flux naturels engendréspar les pompages. L’accent est mis sur l’importance d’intégrer lecaractère transitoire des processus dans la modélisation des systèmespour une gestion précise des ressources d’eau souterraine.Nous montrons également le rôle prépondérant des conditions limitessur l’hétérogénéité des aquifères.

Published
2016

43. Development of the Community Water Model (CWatM v1.04) A high-resolution hydrological model for global and regional assessment of integrated water resources management.

Author

Burek, Peter, Yusuke Satoh, Kahil, Taher, Ting Tang, Greve, Peter, Smilovic, Mikhail, Guillaumot, Luca, and Yoshihide Wada

Subjects
WATER supply, WATER management, RESOURCE management, MODULAR construction, RESERVOIRS
Abstract

We develop a new large-scale hydrological and water resources model, the Community Water Model (CWatM), which can simulate hydrology both globally and regionally at different resolutions from 30 arc min to 30 arc sec at daily time steps. CWatM is open-source in the Python programming environment and has a modular structure. It uses global, freely available data in the netCDF4 file format for reading, storage, and production of data in a compact way. CWatM includes general surface and groundwater hydrological processes, but also takes into account human activities, such as water use and reservoir regulation, by calculating water demands, water use, and return flows. Reservoirs and lakes are included in the model scheme. CWatM is used in the framework of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), which compares global model outputs. The flexible model structure allows dynamic interaction with hydro-economic and water quality models for the assessment and evaluation of water management options. Furthermore, the novelty of CWatM is its combination of state-of the-art hydrological modeling, modular programming, an online user manual and automatic source code documentation, global and regional assessments at different spatial resolutions, and a potential community to add to, change, and expand the open-source project. CWatM also strives to build a community learning environment which is able to freely use an open-source hydrological model and flexible coupling possibilities to other sectoral models, such as energy and agriculture. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results