Letteratura scientifica selezionata sul tema "Karstic networks"
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Articoli di riviste sul tema "Karstic networks":
Jaquet, O., P. Siegel, G. Klubertanz e H. Benabderrhamane. "Stochastic discrete model of karstic networks". Advances in Water Resources 27, n. 7 (luglio 2004): 751–60. http://dx.doi.org/10.1016/j.advwatres.2004.03.007.
Somaratne, Nara. "Karst Conduit Networks, Connectivity and Recharge Dynamics of a Sinkhole". Environment and Natural Resources Research 7, n. 3 (21 settembre 2017): 70. http://dx.doi.org/10.5539/enrr.v7n3p70.
Cunha, Lúcio. "O Quaternário, a Morfologia Cársica e o Património Ambiental. Exemplos no sector Setentrional do Maciço de Sicó". Estudos do Quaternário / Quaternary Studies, n. 3 (21 dicembre 2000): 111–18. http://dx.doi.org/10.30893/eq.v0i3.40.
Escobar, Renato Gutierrez, Deane Roehl, Franco Borges Quadros e Caroline L. Cazarin. "Stochastic modelling of karstic networks of Potiguar Basin, Brazil". Advances in Water Resources 156 (ottobre 2021): 104026. http://dx.doi.org/10.1016/j.advwatres.2021.104026.
Borghi, Andrea, Philippe Renard e Sandra Jenni. "A pseudo-genetic stochastic model to generate karstic networks". Journal of Hydrology 414-415 (gennaio 2012): 516–29. http://dx.doi.org/10.1016/j.jhydrol.2011.11.032.
PETROVIĆ, Aleksandar S., Jelena ĆALIĆ e Vojkan GAJOVIĆ. "Paleodrainage network reconstruction on Miroč Mt. (Eastern Serbia)". Revista de Geomorfologie 18, n. 1 (14 novembre 2016): 69–76. http://dx.doi.org/10.21094/rg.2016.119.
Sartégou, Amandine, Didier L. Bourlès, Pierre-Henri Blard, Régis Braucher, Bouchaib Tibari, Laurent Zimmermann, Laëtitia Leanni, Georges Aumaître e Karim Keddadouche. "Deciphering landscape evolution with karstic networks: A Pyrenean case study". Quaternary Geochronology 43 (febbraio 2018): 12–29. http://dx.doi.org/10.1016/j.quageo.2017.09.005.
de Rooij, Rob, e Wendy Graham. "Generation of complex karstic conduit networks with a hydrochemical model". Water Resources Research 53, n. 8 (agosto 2017): 6993–7011. http://dx.doi.org/10.1002/2017wr020768.
Tamburini, Andrea, e Marco Menichetti. "Groundwater Circulation in Fractured and Karstic Aquifers of the Umbria-Marche Apennine". Water 12, n. 4 (7 aprile 2020): 1039. http://dx.doi.org/10.3390/w12041039.
Matislav Majstrović e Hrvoje Olujić. "THE NEUTRAL CONDUCTOR VOLTAGE IN A MEDIUMVOLTAGE NETWORK DURING A GROUND FAULT". Journal of Energy - Energija 57, n. 3 (11 ottobre 2022): 328–49. http://dx.doi.org/10.37798/2008573327.
Tesi sul tema "Karstic networks":
Kurtuluş, Bedri. "Modeling of groundwater flow and quality in karstic system using "soft computing" methods (neural networks, fuzzy logic)". Poitiers, 2008. http://www.theses.fr/2008POIT2304.
Les aquifères karstiques présentent une grande extension à travers le monde (12 % des terres émergées) et notamment dans les pays du pourtour méditerranéen (de 20 à 90 % de la surface des pays méditerranéens). Ces aquifères représentent d’importantes potentialités en eau souterraine. Dans les deux pays concernés (France et Turquie), ces aquifères karstiques sont exploités pour l’alimentation en eau potable et pour d’autres activités économiques (agriculture, pisciculture, …) et constituent parfois l’unique ressource en eau dans certaines régions de ces pays. Le rôle des hydrosystèmes karstiques dans le développement social et économique de telles régions est de ce fait extrêmement crucial. Ces aquifères sont cependant très vulnérables aux contaminations et font l’objet de surexploitation, compte tenu de l’accroissement des besoins en eau. Les aquifères karstiques sont très complexes et présentent des caractéristiques très particulières (forte hétérogénéité, anisotropie, discontinuité du milieu, hiérarchisation des écoulements) qui rendent difficile toute approche classique d’identification de ces milieux et de gestion de leurs ressources en eau. La difficulté de modélisation provient du fait que ces systèmes karstiques sont hautement non-linéaires et sont peu adaptés aux méthodes d’identification classiques (modélisation des flux d’eau et de matière basée sur la loi de Darcy). L’objectif principal de cette thèse est la modélisation de ces systèmes à l’aide d’approches nouvelles (méthodes de ‘soft computing’) dans le but de prédire les flux et la qualité des eaux dans ces systèmes. Les systèmes retenus sont : le karst de La Rochefoucauld en France qui est utilisé notamment pour l’alimentation de la capitale régionale Angoulême ; Le karst de l’Orbe qui est utilisé pour la ville d’Arrete et le karst de Safranbolu en Turquie qui alimente la ville de Safranbolu. Dans cette thèse, les points suivants sont étudiés :Installation, calibrage des systèmes d'enregistrement des données (data logger) et contrôle des sondes, Recherche sur les différents types de systèmes karstiques (La Rochefoucauld et Orbe en France et Safranbolu en Turquie, Détermination de la pluie efficace sur le karst de Safranbolu en utilisant des données hydrométéorologiques (y compris la neige). Interprétation des données des enregistreurs automatiques et des analyses chimiques effectuées en laboratoire pour mieux comprendre le fonctionnement du karst, Développement des modèles ‘soft computing’ (réseaux de neurone et neuro-floue) concernant les 3 systèmes karstiques étudiés. Discussion sur les méthodes (réseaux de neurone et neuro–flou) et les calibrages des modèles. Comparaison des modèles avec entrée simple et entrées multiples. Détermination des propriétés faibles et fortes de ces modèles. Les conclusions obtenues sont les suivantes :Les corrélations entre débits simulés et débits observés sont élevées pour le karst de La Rochefoucauld. Le coefficient de détermination pour la phase d’apprentissage est élevé (R2=0. 90). Les hydrogrammes permettent de se rendre compte que l’apprentissage et la validation des modèles sont tout à fait opérationnels, puisqu’on remarque que les parties montantes des hydrogrammes simulés correspondent bien à de fortes pluies. De plus la forme des hydrogrammes simulés (montée rapide, suivie d’une décrue assez lente) est semblable à celle des hydrogrammes réels de sources d’aquifères karstiques (Voir Figure 4. 8). Les données de pluie utilisées concernent la pluie brute, sans transformation en pluie efficace, ce qui permet de s’affranchir de certaines hypothèses simplificatrices non vérifiables pour l’aquifère de La Rochefoucauld. Par contre nous avons retenu la pluie efficace comme entrée des modèles du karst de Safranbolu. L’effet de la fonte de neige et une correction de certaines données par rapport à l’altitude ont été intégrées dans l’évaluation de la pluie efficace. Les modèles ‘soft computing’ pluie - qualité de l’eau (Turbidité, Conductivité électrique) ont été développés. Pour les modèles neuro-flous la phase d’apprentissage est beaucoup plus lente et nécessite un moyen de calcul puissant. Les modèles hybrides (neuro-flous) sont plus efficaces que les modèles de réseaux de neurones. Les modèles neuro-flous ont un coefficient de détermination plus élevé que les modèles de réseaux de neurones (Voir Table 4. 5). Les variables d’entrée ont une très grande importance dans le développement des méthodes ‘soft computing’. En augmentant les données d’entrée, les modèles peuvent calculer de meilleurs résultats. Ainsi, les modèles avec deux variables d’entrées sont caractérisés par un coefficient de détermination plus élevé que les modèles à une variable d’entrée. En outre, pour la prédiction des valeurs extrêmes, les modèles avec entrées multiples sont plus efficaces que les modèles à entrée simple (Voir Table 4. 9). Pour les aquifères karstiques d’Orbe et de Safranbolu, la prédiction des paramètres hydrochimiques (conductivité électrique et turbidité) à été egalement modelisée à l’aide des méthodes ‘soft computing’. Les résultats montrent que la forme des chemogrammes simulés est semblable à celle des chemogrammes réels (Voir Figures 5. 19, 5. 22, 5. 25, 5. 27, 5. 28, 5. 29, 5. 30). Par contre, on constate aussi que pour obtenir des prédictions plus longues, le modèle aura besoin de séries de données plus longues. Ainsi, les résultats obtenus sont très encourageants et permettent d’envisager des perspectives intéressantes et nouvelles de modélisation des aquifères karstiques, qui sont des systèmes hautement non-linéaires
Sartégou, Amandine. "Évolution morphogénique des Pyrénées orientales : apports des datations de systèmes karstiques étagés par les nucléides cosmogéniques et la RPE". Thesis, Perpignan, 2017. http://www.theses.fr/2017PERP0044/document.
The rates and chronologies of valley incision are closely modulated by the tectonic uplift of active mountain ranges and were controlled by repeated climate changes during the Quaternary. The continental collision between the Iberian and Eurasian plates induced a double vergence orogen, the Pyrenees, which has been considered as a mature mountain range in spite of significant seismicity and evidence of neotectonics. Nevertheless, recent studies indicate that the range may have never reached a steady state. One option for resolving this controversy is to quantify the incision rates since the Miocene by reconstructing the vertical movement of geometric markers such as fluvial terraces. However, the few available ages from the Pyrenean terrace systems do not exceed the middle Pleistocene. Thus, to enlarge the time span of this dataset, we studied alluvium-filled horizontal epiphreatic passages in limestone karstic networks. Such landforms are used as substitutes of fluvial terraces because they represent former valley floors. They record the transient position of former local base levels during the process of valley deepening. In addition to morphological observations, the burial durations of detrital sediments in 61 cavities of the Têt, Ariège, Aude and Agly valleys were determined using cosmogenic 26Al/10Be and 10Be/21Ne ratios. The results obtained allow us to document incision processes since the early Miocene (~ 16-13 Ma) and to study influences of external forcing and eustatism. In comparison with other studies, it appears that incision rates are probably higher in the central Pyrenees, suggesting an increased role for glaciers in the incision process. Moreover, a gradient would also be observable from north to south, the Spanish slope probably having been incised faster. However, the density of sub-horizontal levels on an elevation range, the geodynamical and paleo-climatic contexts, the reorganization of the drainage networks may lead to networks filling stories more complex than expected. The obtained results applying various suitable geochronological methods (26Al/10Be, 10Be/21Ne, ESR and OSL on quartz) sometimes evidence that these radiometric approaches may be limited when source and/or emplaced deposits are reworked. The validity of dosimetric methods in a mountainous context, and the possibility that not all of the quartz grains are bleached at the time of deposition will also be discussed
Frantz, Yves. "Simulation stochastique des réseaux karstiques". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0215.
Despite intensive explorations by speleologists, karstic networks remain only partially described as many conduits are not accessible to humans. The classical exploration techniques produce sparse data subject to uncertainties concerning the conduit position and their dimensions, which are essential parameters for flow simulations.Stochastic simulations make it possible to better handle and assess these uncertainties by offering several equally probable karstic system representations.The ideal simulator should allow for the construction of tridimensional karstic drain networks, respecting the field observations (karstification markers), the knowledge brought by tracer tests, the information collected in the accessible parts of the network and those obtained by the study of other networks.In this context, this PhD thesis offers 3 main contributions.The first contribution is the statistical analysis of a database of 49 karstic networks.It focuses on the study of conduit geometry, through the analysis of two metrics : the equivalent radius and the width-height ratio.No generic statistical law describing the network geometry was found.Nonetheless, the spatial variability of the geometrical properties at different scales was characterized, mostly through the development of 1D-curvilinear variograms.The widespread hypothesis of a hierarchical organization of the conduit geometries has also been analysed and rejected.The second contribution is the development of two methods allowing stochastic simulations of properties along karstic networks and based on the results of the statistical analysis. The first method focuses on the reproduction of the property variability at the network scale, while the second one focuses on the reproduction of the variability within and between the network branches.Both are based on the Sequential Gaussian Simulation methods and are adapted to 1D-curvilinear objects.The third contribution is the prototype of a method aiming to stochastically simulate discrete karstic networks as graphs (known as network skeletons}). We hope that once completed, it would allow the simulation of different network types, while taking directly into account field data and geological information. It is divided in three main steps : i) the generation of a point cloud, ii) the computation of the point connectivity and iii) their connection to create the skeleton of the karstic network.These contributions open new prospects regarding the simulation of karstic drain networks usable for flow simulation (e.g., SWMM, Epanet, Modflow-CFP), which should allow a better characterization of the associated flows
Jazayeri, Noushabadi Mahmoud Reza. "Characterisation of relationships between fracture network and flow-path network in fractured and karstic Reservoirs : Numerical modelling and field investigation (Lez aquifer, Southern France)". Montpellier 2, 2009. http://www.theses.fr/2009MON20206.
Although the specific flow behaviour of fractured reservoirs has been identified and modelled since relatively long time, there are still lots of problem concerning the fractured reservoir characterisation. The main problem, often cited in the context of the development and exploitation of fractured reservoirs, is the difficulty in defining the fracture network properties that impact the flow path-network and the inter-porosity flow transfer between the fracture continuum and matrix continuum. Well test is one of the tools that are used for the characterisation of geometrical and hydrodynamic properties of fractured reservoir, such as inter-porosity flow exchange coefficient, fracture storativity to whole reservoir storativity ratio, and reservoir permeability. But all these information applied to characterise a fractured reservoir at regional scale are inferred from only a few boreholes. One may thus wonder if all observation boreholes have the same hydrodynamic response to a well test. In order to answer this question a series of numerical well tests are conducted in synthetic fracture networks to evaluate the effect of the pumping well location on the dual porosity pressure responses. The impact of geometrical parameters, such as fracture spacing and mean length, on fluid flow behaviour and inter-porosity exchange coefficient are investigated for different pumping well location in the first chapter. Well test simulations in the synthetic fractured reservoirs, with a non uniform distribution pattern, highlight the dependency of the measured inter-porosity flow exchange coefficient to the pumping test location. The mean fracture length (which controls connectivity) is assessed to be the main geometrical parameter which influences the reservoir hydrodynamic response during well test. In the second chapter, the relationship between fracture network and flow-path network are investigated in a real fractured and karstic carbonate aquifer (Lez aquifer, southern France). A multi-disciplinary case study, which aims to assess the main parameters which affect the preferential flow-path network, is thus performed. It comprises geological, geophysical and hydrodynamic data acquisition and interpretations. The collection of geometrical parameters such as fracture density, orientation, length is done at different scales (borehole, field site, aquifer). Applying different data acquisition techniques such as borehole image, outcrop observation and aerial photography are claimed to characterise the fracture network. In this experimental part, it is shown that geological and geophysical data such as fracture data acquisition, borehole imagery (OTV), reservoir electrical resistivity imaging are the minimum requested data for characterizing the fracture network of a given reservoir. Investigation of flow-path network is done through conducting a series of well logging, interference tests and pulse tests at two scales. This step gives some clarifications about the quality of connectivity and conductivity of fractures at different zones. Then, we assess the relationship between fracture network and flow-path network by integrating all geological, geophysical and hydrodynamic data. It is shown that conducting well test series at two different scales within the same fractured and karstic reservoir allow verifying the scale dependency of permeability within a same system; it also shows that other important factors than the scale of observation affect these permeability variations. Combination of all data (geological, geophysical and hydrodynamic) illustrates that the borehole connectivity to the flow-path network and water table level during well test operation are the parameters which mainly control the permeability value estimation, whatever the scale of observation. Finally, in the third chapter, we define the hydrogeological conceptual models at local and regional scales. Then a simple 2D numerical model based on the hydrogeological conceptual model at each scale is proposed and the numerical geomodelling and fluid flow simulation are compared to the observed hydrodynamic behaviour in the site. Results of fluid flow simulation in the numerical models at local and regional scales confirm our hypothesis about effect of borehole location and its connectivity with the flow-path network on the recorded hydrodynamic responses at borehole
Kong, A. SIou Line. "Modélisation des crues de bassins karstiques par réseaux de neurones. Cas du bassin du Lez (Hérault)". Thesis, Montpellier 2, 2011. http://www.theses.fr/2011MON20070/document.
Karst is one of the most widespread aquifer formations in the worlds. Their exploitation provides fresh water to practically 25% of the global population. The high level of structure heterogeneity in these aquifers however makes them complex and their behavior is difficult to study, simulate and forecast.Artificial neural networks are machine learning models widely used in surface hydrology since the 90's thanks to their properties of parsimony and universal approximation.In this thesis, artificial neural networks are used to study karst aquifer behavior. Application is done in the Lez. This aquifer situated near Montpellier conurbation (400 000 inhabitants) provides fresh water for a large part of this population.First, a “classical” black box neural network is applied to simulate and forecast Lez spring discharge. A rainfall input selection method is proposed, using cross correlation analysis and cross validation method at the same time. Results show neural model efficiency in order to simulate and forecast the spring discharge of a complex karstic aquifer. The model was tested using two hydrologic cycles including the two most intense floods of the database. Hydrographs shows that neural model was able to extrapolate the maximum flood discharge of the learning database. Forecasting is satisfactory until a one-day horizon.In a second time, extraction of the knowledge data included in the black box is proposed. In order to constrain the model to give physically plausible solution, a priori knowledge about aquifer geology is included into the network architecture. KnoX (Knowledge eXtraction) method proposed in this study aims at extract geological zone contributions to the Lez spring and corresponding response times. The KnoX methodology was applied to a fictitious hydrosystem built using a model with controlled parameters, in particular contributions of subbasin to the outlet and lag time of each subbasin. This application permitted to validate the KnoX methodology. Results obtained on the Lez basin are satisfactory and agree with current knowledge about this hydrosystem. In addition, the KnoX methodology allows to refine this knowledge, in particular concerning delayed infiltration because of infiltration in perched aquifer and concerning Lez spring alimentation basin boundaries. Lastly the KnoX methodology is a generic methodology that can be applied on any basin with available discharge and rainfall data
Taver, Virgile. "Caractérisation et modélisation hydrodynamique des karsts par réseaux de neurones : application à l'hydrosystème du Lez". Thesis, Montpellier 2, 2014. http://www.theses.fr/2014MON20169/document.
Improving knowledge of karst hydrodynamics represents a global challenge for water resource because karst aquifers provide approximately 25% of the world population in fresh water. Nevertheless, complexity, anisotropy, heterogeneity, non-linearity and possible non-stationarity of these aquifers makes them underexploited objects due to the difficulty to characterize their morphology and hydrodynamics. In this context, the systemic paradigm proposes others methods by studying these hydrosystems through input-output (rainfall-runoff) relations.This work covers the use of: i) correlation and spectral analysis to characterize response of karst aquifers, ii) neural networks to study and model linear and non-linear relations of these hydrosystems. In order to achieve this, different types of neural networks model configurations are explored to compare behavior and performances of these models. We are looking to constrain these models to make them interpretable in terms of hydrodynamic processes by making the operation of the model closer to the natural system in order to obtain a good representation and extract knowledge from the model parameters.The results obtained by correlation and spectral analysis are used to manage the configuration of neural networks models. Applied on the Lez hydrosystem over the period 1950-1967, results show that neural networks models are capable to model non-linear operation of the karst.Application of neural modelling on two non stationary hydrosystems (Durance in France and Fernow in the the USA) proved the ability of neural networks to model satisfactorily non-stationary conditions. Moreover, two real-time adjustment methods (adaptativity and data assimilation) enhanced the performance of neural network models face to changing conditions of the inputs or of the system itself.Finally, these various methods to analyze and model allow improving knowledge of the rainfall-runoff relationship. Methodological tools developed in this thesis were developed thanks to the application on Lez hydrosystem which has been studied for decades. This study and modeling methodology have the advantage of being applicable to other systems provided the availability of a sufficient database
Shelley, James Adam. "Monitoring and Evaluating the Influences of Class V Injection Wells on Urban Karst Hydrology". TopSCHOLAR®, 2018. https://digitalcommons.wku.edu/theses/3086.
Gomari, Daniel Parviz [Verfasser], Jan [Akademischer Betreuer] Krumsiek, Karsten [Gutachter] Suhre e Jan [Gutachter] Krumsiek. "Novel network-based methods for multi-omics data analysis and interpretation / Daniel Parviz Gomari ; Gutachter: Karsten Suhre, Jan Krumsiek ; Betreuer: Jan Krumsiek". München : Universitätsbibliothek der TU München, 2021. http://d-nb.info/1235664775/34.
Stegmaier, Saskia [Verfasser], Thomas F. [Akademischer Betreuer] Fässler, Hubert [Akademischer Betreuer] Schmidbaur e Karsten [Akademischer Betreuer] Reuter. "Clusters and Networks of Tetrel Elements and Late d Block Metals in Ternary Intermetallic Phases with Alkali and Alkaline Earth Metals / Saskia Stegmaier. Gutachter: Thomas F. Fässler ; Hubert Schmidbaur ; Karsten Reuter. Betreuer: Thomas F. Fässler". München : Universitätsbibliothek der TU München, 2012. http://d-nb.info/1051935032/34.
Bailly, David. "Vers une modélisation des écoulements dans les massifs très fissurés de type karst : étude morphologique, hydraulique et changement d'échelle". Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT027H/document.
Karstic aquifers contain large subsurface water resources. These aquifers are complex and heterogeneous on a large range of scales. Their management requires appropriate numerical tools and approaches. Various tools and numerical methodologies have been developed to characterize andmodel the geometry and hydraulic properties of karstic aquifers, more generally, of highly fissured 2D and 3D porous media. In this study, we emphasize morphological characterization, and we analyze hydrodynamic behavior through the concept of upscaling ("second upscaling"). Concerning the morphology of fissured porous media, several axes are explored : random media, composite random Boolean media with statistical properties, and morphogenetic models. Hydrodynamic upscaling is developed using the macro-permeability concept. This upscaling method is based on either Darcy's linear law, or on a linear/quadratic combination of Darcy's and Ward-Forchheimer's quadratic law (inertial effects). First, the study focuses on Darcy's linear head loss law, and Darcian effective permeabilities are calculated numerically in terms of volume fractions of fissures and "fissure/matrix" permeability contrasts. The results are analysed and compared with analytical results and bounds. A special study of percolation and quasi-percolation effects, for high contrasts, leads to defined three critical fractions. These critical fractions are "connected" to percolation thresholds. Secondly, in order to consider inertial effect in fissures, the study is extended to a local law with a quadratic velocity term (Darcy/Ward-Forchheimer). Then, an equivalent nonlinear macroscopic permeability is defined and analysed using a generalized inertial model (linear/power). Finally, the large scale hydraulic anisotropy of fissured medium is studied, in terms of directional permeabilities, using an "immersion" numerical method
Libri sul tema "Karstic networks":
Hank, Karsten, Frank Schulz-Nieswandt, Michael Wagner e Susanne Zank, a cura di. Alternsforschung. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783845276687.
Lindner, Ralf, Michael Decker, Elisabeth Ehrensperger, Nils B. Heyen, Stephan Lingner, Constanze Scherz e Mahshid Sotoudeh, a cura di. Gesellschaftliche Transformationen. Nomos Verlagsgesellschaft mbH & Co. KG, 2021. http://dx.doi.org/10.5771/9783748901556.
Capitoli di libri sul tema "Karstic networks":
Jaquet, O. "Stochastic Model of Karstic Conduit Networks Using Lattice Gas Simulations". In Geostatistics Wollongong’ 96, 1124–33. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5726-1_42.
Allam, Antoine, e Wajdi Najem. "Artificial Neural Networks Modeling of a Karstic Watershed in Mount Lebanon". In EuroKarst 2016, Neuchâtel, 203–14. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45465-8_21.
Mance, Diana, Danijela Lenac, Maja Radišić, Davor Mance e Josip Rubinić. "The use of 2H and 18O isotopes in the study of coastal karstic aquifers". In Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”, 525–34. Florence: Firenze University Press, 2022. http://dx.doi.org/10.36253/979-12-215-0030-1.48.
Kong A Siou, L., A. Johannet, S. Pistre e V. Borrell. "Flash Floods Forecasting in a Karstic Basin Using Neural Networks: the Case of the Lez Basin (South of France)". In Advances in Research in Karst Media, 215–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12486-0_33.
Drobinina, Elena V., Tatyana G. Kovaleva, Denis R. Zolotarev e Valerii N. Kataev. "The Geological Structure Style of Karst Massive in the Karst Susceptibility Assessment". In Lecture Notes in Networks and Systems, 205–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89477-1_20.
Rahmani, Sita, Takehiko Murayama, Shigeo Nishikizawa e Muhammad Sani Roychansyah. "Local Governance of Sustainability Transition in Community-Scale Solar Water Pumping Systems in Indonesia". In Environment & Policy, 439–62. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15904-6_23.
Savary, Michaël, Anne Johannet, Nicolas Massei, Jean Paul Dupont e Emmanuel Hauchard. "Limits in Using Multiresolution Analysis to Forecast Turbidity by Neural Networks. Case Study on the Yport Basin, Normandie-France". In Advances in Karst Science, 129–35. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14015-1_15.
Kong-A-Siou, L., V. Borrell-Estupina, A. Johannet e S. Pistre. "Neural Networks for Karst Spring Management. Case of the Lez Spring (Southern France)". In Hydrogeological and Environmental Investigations in Karst Systems, 361–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-17435-3_41.
Auterives, Chrystelle, Stéphane Binet e Patrick Albéric. "Inferred Conduit Network Geometry from Geological Evidences and Water-Head in a Fluvio-Karstic System (Val D’Orleans, France)". In H2Karst Research in Limestone Hydrogeology, 49–58. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06139-9_3.
Trichakis, I. C., G. P. Karatzas e I. K. Nikolos. "Quantification of artificial neural network uncertainty with bootstrap percentile intervals for the prediction of a karstic aquifer's response". In Environmental Hydraulics. Volume 2, 691–96. London: CRC Press, 2022. http://dx.doi.org/10.1201/9780429100314-12.
Atti di convegni sul tema "Karstic networks":
Corbo, Diego Nicolas, Rodolphe Lathion, Federico Games e Vincent Martinuzzi. "High Resolution Discrete Fracture Network Application for Polymer Flooding Design in a Naturally Fractured Carbonate". In Gas & Oil Technology Showcase and Conference. SPE, 2023. http://dx.doi.org/10.2118/214091-ms.
Soni, A., J. Monsalve e N. Ripepi. "Analysis of Pillar Strength and Design in a Karst-Affected Underground Stone Mine". In 56th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2022. http://dx.doi.org/10.56952/arma-2022-0924.
Olmeda, Mariana, e Erich Funk. "Proposing an Adaptable Subsurface Data Assessment Workflow for Identifying Fluid Pathways in Fractured Carbonate Reservoirs". In GOTECH. SPE, 2024. http://dx.doi.org/10.2118/219182-ms.
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