Flash flood forecasting in poorly gauged basins using neural networks: case study of the Gardon de Mialet basin (southern France), Natural Hazards and Earth System Science, vol.12, issue.11, pp.3307-332410, 2012. ,
DOI : 10.5194/nhess-12-3307-2012
,
A conceptual semi distributed model of the Coulazou River as a tool for assessing surface water?karst groundwater interactions during flood in Mediterranean ephemeral rivers, Water Ressources Research, vol.48, pp.953410-1029, 2012. ,
Karst flash floods: an example from the Dinaric karst (Croatia), Natural Hazards and Earth System Science, vol.6, issue.2, pp.195-203, 2006. ,
DOI : 10.5194/nhess-6-195-2006
URL : https://hal.archives-ouvertes.fr/hal-00299276
Projet gestion multi-usages de l'hydrosystème karstique du Lez-Modèles numériques de fonctionnement de l'hydrosystème, p.pp, 2012. ,
,
Forecasting and mitigation of flooding in a Mediterranean karstic watershed, Hydrology in a Changing World: Environmental and Human Dimensions Proceedings of FRIEND-Water 2014, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-02050335
cette revue) Flood part II : Genesis, propagation and forecasting of flooding at Montpellier city, 2013. ,
Contribution à la prévision des crues sur le bassin du Lez : modélisation de la relation pluiedébit en zone karstique et impact de l'assimilation de débits, Thèse de doctorat UM2 -HSM -CERFACS. ED SIBAGHE. Direction : Bouvier C. et Thual O., Encadrement : Borrell V. et Ricci S. Soutenue le 13, p.230, 2011. ,
Time series analyses for Karst/River interactions assessment: Case of the Coulazou river (southern France), Journal of Hydrology, vol.349, issue.1-2, pp.98-114, 2008. ,
DOI : 10.1016/j.jhydrol.2007.10.028
,
A conceptual semi distributed model of the Coulazou River as a tool for assessing surface water?karst groundwater interactions during flood in Mediterranean ephemeral rivers, WATER RESOURCES RESEARCH, vol.48, pp.10-1029, 2012. ,
Karst flash floods: an example from the Dinaric karst (Croatia), Natural Hazards and Earth System Science, vol.6, issue.2, pp.195-203, 2006. ,
DOI : 10.5194/nhess-6-195-2006
URL : https://hal.archives-ouvertes.fr/hal-00299276
Project gestion multi-usages de l'hydrosystème karstique du Lez -Modèles numériques de fonctionnement de l'hydrosystème, p.pp, 2012. ,
,
, Maréchal, O. Thual, 2014.
, Forecasting and mitigation of flooding in a Mediterranean karstic watershed Hydrology in a Changing World: Environmental and Human Dimensions Proceedings of FRIEND-Water 2014, 2014.
ATHYS : Atelier Hydrologique SpatialiséHydrologie tropicale : géoscience et outil pour le développement, pp.425-435, 1996. ,
Modélisation hydrologique distribuée -Plate-forme ATHYS Traité d'Hydraulique Environnementale, pp.115-134, 2010. ,
Weather Radar and Hydrology, Proceedings of a symposium, 2011. ,
Flood modelling with a distributed event-based parsimonious rainfall-runoff model: case of the karstic Lez river catchment, Natural Hazards and Earth System Science, vol.12, issue.4, pp.1119-1133, 2012. ,
DOI : 10.5194/nhess-12-1119-2012
Benefits and limitations of data assimilation for discharge forecasting using an event-based rainfall???runoff model, Natural Hazards and Earth System Science, vol.13, issue.3, pp.583-59610, 2013. ,
DOI : 10.5194/nhess-13-583-2013
URL : https://hal.archives-ouvertes.fr/hal-00808478
Réflexion actuelle sur la prévision hydrométéorologique. La gestion des risques liée aux inondations rapides et lentes, Colloque Hydrotechnique, 161ième session du comité scientifique et technique de Paris, pp.65-76, 1999. ,
Vers une modélisation hydrologique adaptée à la prévision opérationnelle des crues éclair. Application sur de petits bassins versants du Sud de la France, 2004. ,
Conseil Général de l'Hérault, Conseil Régional Languedoc Roussillon, Agence de l, 2009. ,
, Schéma Départemental pour la restauration, la préservation et la mise en valeur des Milieux Aquatiques de l'HERAULT, Rapport de bassin : Lez (Y32) et Mosson (Y31), 2009.
Caractérisation des crues karstiques pour la mise en place d'un système d'alerte ? Cas, pp.75-78, 2010. ,
Karst flash-flood forecasting in the city of Nîmes (southern France) Engineering Geology 164 -26-35, 2013. ,
,
Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez catchment in Southern France, Hydrol. Earth Syst. Sci, vol.16, pp.4247-426410, 2012. ,
FLash floods, proceedings of the Paris symposium, Ed IAHS-UNESCO- WMO, vol.112, 1974. ,
The MEDYCYSS observatory, a multi scale observatory of flood dynamics and hydrodynamics in karst, 9th International Hydrogeological Congress of Greece, 2011. ,
Essais de modélisation des écoulements dans un aquifère karstique, Exemple de la source du Lez Université des Sciences et Techniques du Languedoc, 1989. ,
,
Towards a comprehensive physically-based rainfall-runoff model, Hydrology and Earth System Sciences, vol.6, issue.5, pp.859-88, 2002. ,
DOI : 10.5194/hess-6-859-2002
URL : https://hal.archives-ouvertes.fr/hal-00304733
Karst flash flooding in a Mediterranean karst, pp.138-146, 2008. ,
Hydrogeological analysis of groundwater contribution to the 6-8, pp.88-93, 2005. ,
,
, Projet gestion multi-usages de l'hydrosystème karstique du Lez -Simulations numériques de différents scenarios de changement globaux, Malaterre, 2013.
Flash flood climatology and Omaha 1999, 2000. ,
Assessment of initial soil moisture conditions for event-based rainfall???runoff modelling, Journal of Hydrology, vol.387, issue.3-4, pp.176-187, 2010. ,
DOI : 10.1016/j.jhydrol.2010.04.006
Impact of rainfall spatial distribution on rainfall-runoff modelling efficiency and initial soil moisture conditions estimation, Natural Hazards and Earth System Science, vol.11, issue.1, pp.157-170, 2011. ,
DOI : 10.5194/nhess-11-157-2011
Neural network modelling of non-linear hydrological relationships, Hydrology and Earth System Sciences, vol.11, issue.5 ,
DOI : 10.5194/hess-11-1563-2007
URL : https://hal.archives-ouvertes.fr/hal-00305094
, , pp.1563-1579, 1563.
Added gains of soil moisture content observations for streamflow predictions using neural networks, Journal of Hydrology, vol.359, issue.3-4, pp.225-234, 2008. ,
DOI : 10.1016/j.jhydrol.2008.07.003
Flash flood forecasting in poorly gauged basins using neural networks: case study of the Gardon de Mialet basin (southern France), Natural Hazards and Earth System Science, vol.12, issue.11, pp.3307-332410, 2012. ,
DOI : 10.5194/nhess-12-3307-2012
Conceptualization and classification of groundwater???surface water hydrodynamic interactions in karst watersheds: Case of the karst watershed of the Coulazou River (Southern France), Journal of Hydrology, vol.376, issue.3-4, pp.456-462, 2009. ,
DOI : 10.1016/j.jhydrol.2009.07.053
URL : https://hal.archives-ouvertes.fr/hal-02065086
A conceptual semidistributed model of the Coulazou River as a tool for assessing surface water-karst groundwater interactions during flood in Mediterranean ephemeral rivers, Water Resources Research, vol.331, issue.3-4, p.10, 1029. ,
DOI : 10.1016/j.jhydrol.2006.06.003
Karst groundwater: a challenge for new resources, Hydrogeology Journal, vol.XVIII, issue.1, pp.148-160, 2005. ,
DOI : 10.1007/s10040-004-0402-9
Universal approximation bounds for superpositions of a sigmoidal function, IEEE Transactions on Information Theory, vol.39, issue.3, pp.930-945, 1993. ,
DOI : 10.1109/18.256500
,
, Captage de la source du Lez étude des relations entre la source et son réservoir aquifère, 1983.
Karst flash floods: an example from the Dinaric karst (Croatia), Natural Hazards and Earth System Science, vol.6, issue.2, pp.195-20310, 2006. ,
DOI : 10.5194/nhess-6-195-2006
URL : https://hal.archives-ouvertes.fr/hal-00299276
Hydrometeorological Analysis of the 29 August 2003 Flash Flood in the Eastern Italian Alps, Journal of Hydrometeorology, vol.8, issue.5, pp.1049-106710, 2003. ,
DOI : 10.1175/JHM593.1
Flash flood forecasting, warning and risk management: the HYDRATE project, Environmental Science & Policy, vol.14, issue.7, pp.834-844, 2011. ,
DOI : 10.1016/j.envsci.2011.05.017
URL : https://hal.archives-ouvertes.fr/insu-00647706
Input determination for neural network models in water resources applications. Part 1???background and methodology, Journal of Hydrology, vol.301, issue.1-4, pp.75-92, 2005. ,
DOI : 10.1016/j.jhydrol.2004.06.021
Effect of spatial variability of effective rainfall on direct runoff by a geomorphologic approach, Journal of Hydrology, vol.81, issue.1-2, pp.27-43, 1985. ,
DOI : 10.1016/0022-1694(85)90165-9
Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting, Neural Networks, vol.20, issue.4, pp.528-536, 2007. ,
DOI : 10.1016/j.neunet.2007.04.019
, , 2000.
Pr??vision hydrologique par r??seaux de neurones artificiels : ??tat de l'art, Canadian Journal of Civil Engineering, vol.12, issue.2, pp.293-30410, 1999. ,
DOI : 10.1016/S0043-1354(97)00072-9
Flood modelling with a distributed event-based parsimonious rainfall-runoff model: case of the karstic Lez river catchment, Natural Hazards and Earth System Science, vol.12, issue.4, pp.1119-113310, 1119. ,
DOI : 10.5194/nhess-12-1119-2012
Estimation de l'humidité du bassin pour la prévision des crues éclair par apprentissage statistique, Eau, Déchets, Développement Durable. Actes du colloque E3D 2014, 2014. ,
Influence of the Initialization of Multilayer Perceptron for Flash Floods Forecasting: How Designing a Robust Model, 2014. ,
Active water management resources of karstic water catchment: the example of Le Lez spring Montpellier, Neural Networks: Methodology and Applications, Softcover reprint of hardcover, 2005. ,
Selection of input variables for data driven models: An average shifted histogram partial mutual information estimator approach, Journal of Hydrology, vol.367, issue.3-4, pp.165-176, 2009. ,
DOI : 10.1016/j.jhydrol.2008.10.019
Modelling of the functioning of karst aquifers with a reservoir model: Application to Fontaine de Vaucluse (South of France), Journal of Hydrology, vol.345, issue.1-2, pp.38-49, 2007. ,
DOI : 10.1016/j.jhydrol.2007.07.014
, Karst flashflood forecasting in the city of Nîmes
, , pp.26-35, 2013.
,
Flood part I: Karst contribution to Lez floods, 2013. ,
, Analyse hydro-pluviométrique des crues du Gard et du Vidourle des 8 et 9 septembre, pp.99-106, 2002.
A compilation of data on European flash floods, Journal of Hydrology, vol.367, issue.1-2, pp.70-78, 2009. ,
DOI : 10.1016/j.jhydrol.2008.12.028
URL : https://hal.archives-ouvertes.fr/hal-00400570
Neural Networks and the Bias/Variance Dilemma, Neural Computation, vol.36, issue.1, pp.1-58, 1992. ,
DOI : 10.1162/neco.1990.2.1.1
, Training feedforward networks with the Marquardt algorithm
, Neural Netw, vol.5, pp.989-993, 1994.
Multilayer feedforward networks are universal approximators, Neural Networks, vol.2, issue.5, pp.359-36610, 1989. ,
DOI : 10.1016/0893-6080(89)90020-8
Artificial Neural Network Modeling of the Rainfall-Runoff Process, Water Resources Research, vol.17, issue.4, pp.2517-253010, 1995. ,
DOI : 10.1016/0893-6080(90)90004-5
Late Miocene Desiccation of the Mediterranean, Nature, vol.16, issue.5395, pp.240-24410, 1038. ,
DOI : 10.1038/242240a0
Dissection of trained neural network hydrologic models for knowledge extraction, Water Resources Research, vol.36, issue.3, pp.10-1029, 2009. ,
DOI : 10.1029/1999WR900264
Neural networks: from black box towards transparent box application to evapotranspiration modeling, Int. J. Comput. Intell, vol.4, pp.163-170, 2008. ,
On the spectrum of soil moisture from hourly to interannual scales, Water Resources Research, vol.3, issue.5, pp.542810-1029, 2007. ,
DOI : 10.1175/1525-7541(2002)003<0604:TROSMT>2.0.CO;2
Real-time forecasting with a conceptual hydrologic model: 2. Applications and results, Water Resources Research, vol.10, issue.3, pp.1034-1044, 1980. ,
DOI : 10.1016/0022-1694(70)90255-6
Optimization of the generalization capability for rainfall???runoff modeling by neural networks: the case of the Lez aquifer (southern France), Environmental Earth Sciences, vol.214, issue.1???4, pp.2365-237510, 1450. ,
DOI : 10.1007/s10489-010-0210-y
KnoX method, or Knowledge eXtraction from neural network model. Case study on the Lez karst aquifer (southern France), Journal of Hydrology, vol.507, pp.19-32, 2013. ,
DOI : 10.1016/j.jhydrol.2013.10.011
Performance and complementarity of two systemic models (reservoir and neural networks) used to simulate spring discharge and piezometry for a karst aquifer, Journal of Hydrology, vol.519, pp.3178-3188, 2014. ,
DOI : 10.1016/j.jhydrol.2014.10.041
URL : https://hal.archives-ouvertes.fr/hal-01176401
A Monte Carlo Study of rainfall sampling effect on a distributed catchment model, Water Resources Research, vol.3, issue.2, pp.119-12810, 1991. ,
DOI : 10.1016/0022-1694(65)90084-3
Evaluation of the ability of an artificial neural network model to simulate the input-output responses of a large karstic aquifer: the La Rochefoucauld aquifer (Charente, France), Hydrogeology Journal, vol.31, issue.15, pp.241-254, 2007. ,
DOI : 10.1007/978-1-4615-2726-8
Characterization of soil moisture conditions at temporal scales from a few days to annual, Hydrological Processes, vol.3, issue.17, pp.3235-3254, 2004. ,
DOI : 10.1007/978-3-642-97966-8
Exploring the signature of climate and landscape spatial variabilities in flash flood events: case of the 8?9 Cévennes-Vivarais catastrophic event, Geophys. Res. Lett, pp.10-1029, 2002. ,
High-impact floods and flash floods in Mediterranean countries: the FLASH preliminary database, Advances in Geosciences, vol.23, pp.47-5510, 2010. ,
DOI : 10.5194/adgeo-23-47-2010
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications, Environmental Modelling & Software, vol.15, issue.1, pp.101-12410, 2000. ,
DOI : 10.1016/S1364-8152(99)00007-9
, l'extrême et tests d'hypothèses sur les processus hydrologiques
Characterisation of selected extreme flash floods in Europe and implications for flood risk management, Journal of Hydrology, vol.394, issue.1-2, pp.118-133, 2010. ,
DOI : 10.1016/j.jhydrol.2010.07.017
URL : https://hal.archives-ouvertes.fr/hal-00575174
River flow forecasting through conceptual models part I ??? A discussion of principles, Journal of Hydrology, vol.10, issue.3, pp.282-290, 1970. ,
DOI : 10.1016/0022-1694(70)90255-6
Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms, Neural Computation, vol.5, issue.2, pp.165-199, 1993. ,
DOI : 10.1162/neco.1990.2.4.490
Sensitivity of a mountain basin flash flood to initial wetness condition and rainfall variability, Journal of Hydrology, vol.402, issue.3-4, pp.165-178, 2011. ,
DOI : 10.1016/j.jhydrol.2010.12.020
Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins, Journal of Hydrology, vol.362, issue.3-4, pp.274-290, 2008. ,
DOI : 10.1016/j.jhydrol.2008.08.023
URL : https://hal.archives-ouvertes.fr/insu-00389060
Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale, Hydrol. Earth Syst. Sci, vol.105194, pp.353-36810, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-00298794
Modeling a densely urbanized watershed with an artificial neural network, weather radar and telemetric data, Journal of Hydrology, vol.317, issue.1-2, pp.31-48, 2006. ,
DOI : 10.1016/j.jhydrol.2005.05.007
The FLASH Project: using lightning data to better understand and predict flash floods, Environmental Science & Policy, vol.14, issue.7, pp.898-911, 2011. ,
DOI : 10.1016/j.envsci.2011.03.004
Modelling Flash Floods in a Karstic Watershed Using an Original Semi-distributed Radar-Gauge Merging Method, Engineering Geology for Society and Territory ? Volume, pp.169-173 ,
DOI : 10.1007/978-3-319-09054-2_34
URL : https://hal.archives-ouvertes.fr/hal-02094062
Les épisodes orageux à précipitations extrêmes sur les régions méditerranéennes de la France, Météo France & l'Environnement M, 1997. ,
Model complexity control for hydrologic prediction, Water Resources Research, vol.17, issue.5, pp.10-1029, 2008. ,
DOI : 10.1002/hyp.1328
Nonlinear black-box modeling in system identification: a unified overview, Automatica, vol.31, issue.12, pp.1691-172410, 1995. ,
DOI : 10.1016/0005-1098(95)00120-8
A novel method to estimate model uncertainty using machine learning techniques, Water Resources Research, vol.8, issue.3, pp.10-1029, 2009. ,
DOI : 10.1016/S0019-9958(65)90241-X
Cross-validatory choice and assessment of statistical predictions, J. R. Stat. Soc. Ser. B Methodol, vol.36, pp.111-14710, 1974. ,
Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting, Hydrol. Earth Syst. Sci, vol.135194, issue.10, pp.1555-1566, 1555. ,
Rainfall-runoff modeling of flash floods in the absence of rainfall forecasts: the case of ???C??venol flash floods???, Applied Intelligence, vol.16, issue.4, pp.178-189, 2011. ,
DOI : 10.1029/WR016i006p01034
Assessment of initial soil moisture conditions for event-based rainfall???runoff modelling, Journal of Hydrology, vol.387, issue.3-4, pp.176-187, 2010. ,
DOI : 10.1016/j.jhydrol.2010.04.006
Importance of soil moisture measurements for inferring parameters in hydrologic models of low-yielding ephemeral catchments, Environmental Modelling & Software, vol.18, issue.1, pp.35-4810, 1177. ,
DOI : 10.1016/S1364-8152(02)00038-5
Office Fédéral de l'éducation et de la science Suisse, 1998. ,
Added gains of soil moisture content observations for streamflow predictions using neural networks, Journal of Hydrology, vol.359, issue.3-4, pp.3-4, 2008. ,
DOI : 10.1016/j.jhydrol.2008.07.003
, Machine Learning, p.115, 2000.
Prévision des crues du Lez à l'entrée de Montpellier, 2015. ,
Prévision des Crues Éclair par Réseaux de Neurones : Généralisation aux Bassins non Jaugés, II-Sciences et Techniques du Languedoc, 2012. ,
Flash floods forecasting without rainfalls forecasts by recurrent neural networks, Case study on the Mialet basin, pp.303-310, 2011. ,
Flash flood forecasting in poorly gauged basins using neural networks: case study of the Gardon de Mialet basin (southern France), Natural Hazards and Earth System Science, vol.12, issue.11, pp.3307-332410, 2012. ,
DOI : 10.5194/nhess-12-3307-2012
The effect of the Messinian Deep Stage on karst development around the Mediterranean Sea. Examples from Southern France, Geodinamica Acta, vol.9, issue.3, pp.17-389, 2004. ,
DOI : 10.3406/karst.1987.2150
Contribution à la spatialisation du modèle opérationnel de prévision des crues éclair ALHTAÏR, 2005. ,
Universal approximation bounds for superpositions of a sigmoidal function, IEEE Transactions on Information Theory, vol.39, issue.3, pp.930-945, 1993. ,
DOI : 10.1109/18.256500
Hydraulique et hydrologie. 2e édition, PUQ, 2007. ,
Alimentation en eau de la ville de Montpellier Captage de la source du Lez étude des relations entre la source et son réservoir aquifère, 1983. ,
Assimilation de données variationnelle pour la modélisation hydrologique distribuée des crues à cinétique rapide, [online] Available from: http://ethesis.inptoulouse .fr/archive, 2008. ,
What is watershed runoff?, Journal of Geophysical Research, vol.67, issue.2, pp.1541-155210, 1964. ,
DOI : 10.1029/JZ067i002p00721
Changing ideas in hydrology ??? The case of physically-based models, Journal of Hydrology, vol.105, issue.1-2, pp.157-17210, 1989. ,
DOI : 10.1016/0022-1694(89)90101-7
Prophecy, reality and uncertainty in distributed hydrological modelling, Advances in Water Resources, vol.16, issue.1 ,
DOI : 10.1016/0309-1708(93)90028-E
, Water Resour, vol.16, issue.193, pp.41-5110, 1993.
A physically based, variable contributing area model of basin hydrology / Un mod??le ?? base physique de zone d'appel variable de l'hydrologie du bassin versant, Hydrological Sciences Bulletin, vol.4, issue.1, pp.43-69, 1979. ,
DOI : 10.1016/0022-1694(66)90065-5
Tribune Libre: The uniqueness of place, action and time, Revue des sciences de l'eau, vol.14, issue.4, p.705431, 2001. ,
DOI : 10.7202/705431ar
, , 2010.
Distributed hydrologic and hydraulic modelling with radar rainfall input: Reconstruction of the 8???9 September 2002 catastrophic flood event in the Gard region, France, Advances in Water Resources, vol.32, issue.7, pp.1077-1089, 2002. ,
DOI : 10.1016/j.advwatres.2009.03.007
URL : https://hal.archives-ouvertes.fr/hal-00400576
Flash flood forecasting, warning and risk management: the HYDRATE project, Environmental Science & Policy, vol.14, issue.7, pp.834-844, 2011. ,
DOI : 10.1016/j.envsci.2011.05.017
URL : https://hal.archives-ouvertes.fr/insu-00647706
Conception de modèles de prévision des crues éclair par apprentissage artificiel ,
Conception de modèles de prévision des crues éclair par apprentissage artificiel, 1794. ,
Flood part II : Genesis, propagation and forecasting of flooding at Montpellier city, p.2013 ,
Crue et inondations du 22 septembre 1992 dans les départements du Vaucluse, de la Drôme et de l'Ardèche, Conseil Général des Ponts et Chaussées, 1992. ,
Recent advances in rainfall-runoff modelling: extrapolation to extreme floods in southern France, International workshop on hydrological extremes. Observing and modelling exceptional floods and rainfalls rende (CS), pp.3-4, 2006. ,
Catastrophes naturelles, crise financière : sommes-nous entrés dans l'ère des événements extrêmes ?, Revue Risques, (76) [online] Available from: http://www.ffsa.fr/sites/jcms/fn_53093/fr/catastrophes-naturelles-crise-financiere-sommes- nous-entres-dans-l-ere-des-evenements-extremes?, p.7345, 2008. ,
Caractérisation du fonctionnement hydrodynamique de l'aquifère karstique du Lez (Hérault) à l'état naturel, 2007. ,
Effect of spatial variability of effective rainfall on direct runoff by a geomorphologic approach, Journal of Hydrology, vol.81, issue.1-2, pp.27-43, 1985. ,
DOI : 10.1016/0022-1694(85)90165-9
, , 2000.
Contribution à la prévision des crues sur le bassin du Lez: modélisation de la relation pluie-débit en zone karstique et impact de l ,
Flood modelling with a distributed event-based parsimonious rainfall-runoff model: case of the karstic Lez river catchment, Natural Hazards and Earth System Science, vol.12, issue.4, pp.1119-113310, 1119. ,
DOI : 10.5194/nhess-12-1119-2012
Les fontaines publiques de la ville de Dijon: exposition et application, Victor Dalmont ,
Estimation de l'humidité du bassin pour la prévision des crues éclair par apprentissage statistique, Eau, Déchets, Développement Durable. Actes du colloque E3D 2014, 2014. ,
Influence of the Initialization of Multilayer Perceptron for Flash Floods Forecasting: How Designing a Robust Model, 2014. ,
Identification of spatial and temporal contributions of rainfalls to flash floods using neural network modelling: case study on the Lez Basin, Hydrol. Earth Syst. Sci. Discuss, vol.125194, issue.4, pp.3681-371810, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-02052174
Specificities and risk due to ???flash floods??? in the north of France (Parisian Basin), G??omorphologie : relief, processus, environnement, vol.16, issue.1, pp.73-90, 2010. ,
DOI : 10.4000/geomorphologie.7829
Neural Networks: Methodology and Applications, Softcover reprint of hardcover, 2005. ,
Crue de juin 2010 dans le var??: comparaison de la zone inond??e et des zones inondables connues, La Houille Blanche, vol.4, issue.1, pp.34-40, 2015. ,
DOI : 10.3406/morfo.2002.1153
Vers une modélisation hydrologique adaptée à la prévision opérationnelle des crues éclair. Application à de petits bassins versants du sud de la France, Thèse Institut National Polytechnique de Toulouse, 2004. ,
Modelling the hydrologic functions of a karst aquifer under active water management ??? The Lez spring, Journal of Hydrology, vol.365, issue.3-4, pp.235-243, 2009. ,
DOI : 10.1016/j.jhydrol.2008.11.037
URL : https://hal.archives-ouvertes.fr/hal-00515304
Karst flash-flood forecasting in the city of N??mes (southern France), Engineering Geology, vol.164, pp.26-35, 2013. ,
DOI : 10.1016/j.enggeo.2013.06.007
URL : https://doi.org/10.1016/j.enggeo.2013.06.007
Flood part I : Karst contribution to Lez floods, p.2013 ,
Karst Geomorphology and Hydrology, Softcover reprint of the original, 1989. ,
Physical interpretation and sensitivity analysis of the TOPMODEL, Journal of Hydrology, vol.175, issue.1-4, pp.1-4, 1996. ,
DOI : 10.1016/S0022-1694(96)80015-1
Blueprint for a physically-based, digitally-simulated hydrologic response model, Journal of Hydrology, vol.9, issue.3, pp.237-258, 1969. ,
DOI : 10.1016/0022-1694(69)90020-1
Analysis of flash flood-triggering rainfall for a process-oriented hydrological model, Atmospheric Research, vol.137, pp.14-24, 2014. ,
DOI : 10.1016/j.atmosres.2013.09.016
URL : https://hal.archives-ouvertes.fr/hal-00907652
Modèle global pluie débit pour la prévision et la prédétermination des crues, Crues de la normale à l'extrême, pp.115-126, 1999. ,
Auch, N??mes, Vaison-la-Romaine : retours d'exp??riences (Auch, N??mes, Vaison-la-Romaine : lessons from experiences), Bulletin de l'Association de g??ographes fran??ais, vol.72, issue.2, pp.131-145, 1995. ,
DOI : 10.3406/bagf.1995.1815
URL : http://www.persee.fr/docAsPDF/bagf_0004-5322_1995_num_72_2_1815.pdf
Eléments d'analyse sur les crues éclair, Thèse, ENGREF (AgroParisTech) ,
Analyse hydro, pp.99-106, 2004. ,
A compilation of data on European flash floods, Journal of Hydrology, vol.367, issue.1-2, pp.70-78, 2009. ,
DOI : 10.1016/j.jhydrol.2008.12.028
URL : https://hal.archives-ouvertes.fr/hal-00400570
Neural Networks and the Bias/Variance Dilemma, Neural Computation, vol.36, issue.1, pp.1-58, 1992. ,
DOI : 10.1162/neco.1990.2.1.1
On the Design of National, Real-Time Warning Systems with Capability for Site-Specific, Flash-Flood Forecasts, Bulletin of the American Meteorological Society, vol.67, issue.10, pp.1233-1239, 1986. ,
DOI : 10.1175/1520-0477(1986)067<1233:OTDONR>2.0.CO;2
Karstologie -Karsts, grottes et sources, 2011. ,
Studies in soil physics: I. The flow of air and water through soils, J. Agric. Sci, issue.4, pp.1-24, 1911. ,
Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information, Water Resources Research, vol.8, issue.4, pp.751-763, 1998. ,
DOI : 10.1016/0022-1694(95)02918-4
URL : http://onlinelibrary.wiley.com/doi/10.1029/97WR03495/pdf
Evaluation of Flood and Landslide Risk to the Population of Italy, Environmental Management, vol.291, issue.5502, pp.15-36, 2005. ,
DOI : 10.4159/harvard.9780674434929
Watershed management some ideas about storm runoff and baseflow, 1961. ,
Factors affecting the response of small watersheds to precipitation in humid areas, For. Hydrol, pp.275-290, 1967. ,
L'eau et le sol: principes et processus physiques, 1988. ,
Genesis and functioning of the Aix-les-Bains hydrothermal karst (Savoie, France): past research and recent advances, Bulletin de la Societe Geologique de France, vol.181, issue.4, pp.315-326, 2010. ,
DOI : 10.2113/gssgfbull.181.4.315
Multilayer feedforward networks are universal approximators, Multilayer feedforward networks are universal approximators, pp.359-36610, 1989. ,
DOI : 10.1016/0893-6080(89)90020-8
The R??le of infiltration in the hydrologic cycle, Transactions, American Geophysical Union, vol.14, issue.1, pp.446-46010, 1933. ,
DOI : 10.1029/TR014i001p00446
Retour d'expériences des crues de septembre, 2002. ,
Interaction géodynamique/karstification et modélisation géologique 3D des massifs carbonatés : Implication sur la distribution prévisionnelle de la karstification ,
, Exemple des paléokarts crétacés à néogènes du Languedoc montpelliérain, phdthesis, II -Sciences et Techniques du Languedoc, 2013.
, Indarto: Découpages spatiaux et conséquences sur le bilan hydrologique, Ecole Nationale du Génie Rural, des Eaux et Forêts, 2002.
Dissection of trained neural network hydrologic models for knowledge extraction, W07420, pp.10-1029, 2009. ,
DOI : 10.1029/1999WR900264
Evaluating flash-flood warnings at ungauged locations using post-event surveys: a case study with the AIGA warning system, Hydrological Sciences Journal, vol.14, issue.7, pp.1390-140210, 1080. ,
DOI : 10.5194/hess-12-1039-2008
URL : https://hal.archives-ouvertes.fr/hal-01470408
, Structure et comportement hydraulique des aquifères karstiques, 1998.
Influence de la tectonique quaternaire sur la structure de deux aquifères karstiques du Languedoc (France), Eclogae Geol, Helvetiae, issue.94, pp.173-184, 2001. ,
Dynamics and contribution of karst groundwater to surface flow during Mediterranean flood, Environmental Geology, vol.27, issue.5, pp.725-730, 2007. ,
DOI : 10.1007/s00254-006-0386-y
Essais de modélisation des écoulements dans un aquifère karstique : exemple de la source du Lez, Montpellier 2. [online] Available from, 1989. ,
A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction, Mathematical and Computer Modelling, vol.44, issue.5-6, pp.5-6, 2006. ,
DOI : 10.1016/j.mcm.2006.01.008
Real-time forecasting with a conceptual hydrologic model: 2. Applications and results, Water Resources Research, vol.10, issue.3, pp.1034-104410, 1980. ,
DOI : 10.1016/0022-1694(70)90255-6
Modélisation des crues de bassins karstiques par réseaux de neurones, Cas du bassin du Lez Université Montpellier II-Sciences et Techniques du Languedoc. [online] Available from, 2011. ,
Complexity selection of a neural network model for karst flood forecasting: The case of the Lez Basin (southern France, J. Hydrol, vol.40334, pp.367-380, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00656598
KnoX method, or Knowledge eXtraction from neural network model. Case study on the Lez karst aquifer (southern France), Case study on the Lez karst aquifer, pp.19-32, 2013. ,
DOI : 10.1016/j.jhydrol.2013.10.011
A Monte Carlo Study of rainfall sampling effect on a distributed catchment model, Water Resources Research, vol.3, issue.2, pp.119-12810, 1991. ,
DOI : 10.1016/0022-1694(65)90084-3
Exploring the signature of climate and landscape spatial variabilities in flash flood events: Case of the 8?9 Cévennes-Vivarais catastrophic event, Geophys. Res. Lett, issue.13, p.34, 2002. ,
On the accuracy of areal rainfall estimation: A case study, Water Resources Research, vol.14, issue.3, pp.2123-2134, 1987. ,
DOI : 10.1175/1520-0450(1975)014<0909:COGARM>2.0.CO;2
, Les crues des 12, 13 et 14 novembre 1999 dans les départements de l'Aude, de l'Hérault, des Pyrénées-Orientales et du Tarn, 2000.
Influencia de la orografía y de la inestabilidad convectiva en la distribución espacial de lluvias extremas en Cataluña, Acta Geológica Hispánica, vol.25, issue.3, pp.197-208, 1990. ,
High-impact floods and flash floods in Mediterranean countries: the FLASH preliminary database, Advances in Geosciences, vol.23, issue.23, pp.47-55, 2010. ,
DOI : 10.5194/adgeo-23-47-2010
Using a topographic index to distribute variable source area runoff predicted with the SCS curve-number equation, Hydrological Processes, vol.39, issue.15, pp.2757-2771, 2004. ,
DOI : 10.13031/2013.27621
Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions, Environmental Modelling & Software, vol.25, issue.8, pp.891-909, 2010. ,
DOI : 10.1016/j.envsoft.2010.02.003
Modélisation hydrologique distribuée sur le Gardon d'Anduze; étude comparative de différents modèles pluie-débit, extrapolation de la normale à l'extrême et tests d'hypothèses sur les processus hydrologiques, II-Sciences et Techniques du Languedoc, 2007. ,
Characterisation of selected extreme flash floods in Europe and implications for flood risk management, Journal of Hydrology, vol.394, issue.1-2, pp.118-133, 2010. ,
DOI : 10.1016/j.jhydrol.2010.07.017
URL : https://hal.archives-ouvertes.fr/hal-00575174
Le système karstique de la source du Lez (Hérault), Méditerranée, pp.71-83, 1978. ,
Flash flood mitigation: recommendations for research and applications, Global Environmental Change Part B: Environmental Hazards, vol.4, issue.1, pp.15-2210, 2002. ,
DOI : 10.1016/S1464-2867(02)00011-6
Variabilité spatio-temporelle et modélisation hydrologique : application au bassin du Gardon d'Anduze, Université Montpellier II-Sciences et Techniques du Languedoc, 1991. ,
When monstrosity can be beautiful while normality can be ugly: assessing the performance of event-based flood models, Hydrological Sciences Journal, vol.17, issue.6, pp.1074-1084, 2010. ,
DOI : 10.1016/S0022-1694(97)00107-8
Distributed hydrological modelling of a Mediterranean mountainous catchment ??? Model construction and multi-site validation, Journal of Hydrology, vol.337, issue.1-2, pp.35-51, 2007. ,
DOI : 10.1016/j.jhydrol.2007.01.028
, Munich Re: 10th year · 2003 Annual review: Natural catastrophes, 2002.
Hydrologie : 1 Une science de la nature, 2004. ,
Physique du sol, PPUR presses polytechniques, 1991. ,
River flow forecasting through conceptual models part I ??? A discussion of principles, Journal of Hydrology, vol.10, issue.3, pp.282-290, 1970. ,
DOI : 10.1016/0022-1694(70)90255-6
Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms, Neural Computation, vol.5, issue.2, pp.165-199, 1993. ,
DOI : 10.1162/neco.1990.2.4.490
The sensitivity of hydrological models to spatial rainfall patterns: an evaluation using observed data, Journal of Hydrology, vol.159, issue.1-4, pp.1-4, 1994. ,
DOI : 10.1016/0022-1694(94)90263-1
Illuminating the ???black box???: a randomization approach for understanding variable contributions in artificial neural networks, Ecological Modelling, vol.154, issue.1-2, pp.135-150, 2002. ,
DOI : 10.1016/S0304-3800(02)00064-9
The FLASH Project: using lightning data to better understand and predict flash floods, Environmental Science & Policy, vol.14, issue.7, pp.14-898, 2011. ,
DOI : 10.1016/j.envsci.2011.03.004
'Ghost rock' weathering: processes, evolution and implications for the karstification, G??omorphologie : relief, processus, environnement, vol.17, issue.4, pp.349-358, 2011. ,
DOI : 10.4000/geomorphologie.9555
Tracer vs. Pressure Wave Velocities through Unsaturated Saprolite, Soil Science Society of America Journal, vol.64, issue.1, pp.10-2136, 2000. ,
DOI : 10.2136/sssaj2000.64175x
, , 1960.
Calcul de la lame d'eau ruisselée dans les modèles pluie-débit-limitation des approches globales et introduction de manière simplifiée de la topographie et de la variabilité spatiale des pluies-application aux bassins versants du Gardon d'Anduze et du Real Collobrier, 1990. ,
Flash Floods: Forecasting and Warning ,
Communication In The Presence Of Noise, Proceedings of the IEEE, vol.86, issue.2, pp.447-457, 1998. ,
DOI : 10.1109/JPROC.1998.659497
, SIEE: Validation des relevés hydrométriques de l'événement des 8 & 9 septembre, Direction Départementale de l'Equipement du Gard, 2002.
Nonlinear black-box modeling in system identification: a unified overview, Automatica, vol.31, issue.12, pp.31-1691, 1995. ,
DOI : 10.1016/0005-1098(95)00120-8
Cross-Validatory Choice and Assessment of Statistical Predictions, J. R. Stat. Soc. Ser. B Methodol, vol.36, issue.2, pp.111-14710, 1974. ,
DOI : 10.1111/j.2517-6161.1974.tb00994.x
Caractérisation et modélisation hydrodynamique des karsts par réseaux de neurones: Application à l'hydrosystème du Lez, II-Sciences et Techniques du Languedoc, 2014. ,
Application de l'apprentissage artificiel à la prévision des crues éclair, Thèse Ecole des mines de Paris, 2009. ,
Rainfall-runoff modeling of flash floods in the absence of rainfall forecasts: the case of ???C??venol flash floods???, Applied Intelligence, vol.16, issue.4, pp.178-189, 2011. ,
DOI : 10.1029/WR016i006p01034
Flash Flood Forecasting by Statistical Learning in the Absence of Rainfall Forecast: A Case Study, Engineering Applications of Neural Networks ,
DOI : 10.1029/WR016i006p01034
[online] Available from, pp.98-107, 2009. ,
Impact of rainfall spatial distribution on rainfall-runoff modelling efficiency and initial soil moisture conditions estimation, Natural Hazards and Earth System Science, vol.11, issue.1, pp.157-17010, 2011. ,
DOI : 10.5194/nhess-11-157-2011
URL : https://www.nat-hazards-earth-syst-sci.net/11/157/2011/nhess-11-157-2011.pdf
Runoff prediction errors and bias in parameter estimation induced by spatial variability of precipitation, Water Resources Research, vol.15, issue.2, pp.791-81010, 1983. ,
DOI : 10.1029/WR015i002p00321
La mortalit?? comme expression de la vuln??rabilit?? humaine face aux catastrophes naturelles??: deux inondations r??centes en France (Xynthia, var, 2010), ) [online] Available from, 2011. ,
DOI : 10.1504/IJEM.2005.008737
URL : https://doi.org/10.4000/vertigo.11074
A framework for development and application of hydrological models, Hydrology and Earth System Sciences, vol.5, issue.1, pp.13-26, 2001. ,
DOI : 10.5194/hess-5-13-2001
URL : https://hal.archives-ouvertes.fr/hal-00304565
Progress and directions in rainfall-runoff modelling, in Modelling Change in Environmental Systems, pp.101-132, 1993. ,
, Captage de la source du Lez étude des relations entre la source et son réservoir aquifère, 1983.
Flash flood forecasting, warning and risk management: the HYDRATE project, Environmental Science & Policy, vol.14, issue.7, pp.834-844, 2011. ,
DOI : 10.1016/j.envsci.2011.05.017
URL : https://hal.archives-ouvertes.fr/insu-00647706
Hydrochemical characterization of transfers in karst aquifers by natural and anthropogenic tracers Example of a Mediterranean karst system, the Lez karst aquifer ,
URL : https://hal.archives-ouvertes.fr/pastel-00569544
https://pastel.archives-ouvertes.fr/pastel- 00569544/document (last access, 2010. ,
Flood modelling with a distributed event-based parsimonious rainfall-runoff model: case of the karstic Lez river catchment, Natural Hazards and Earth System Science, vol.12, issue.4, pp.1119-113310, 1119. ,
DOI : 10.5194/nhess-12-1119-2012
,
Assessment of Contribution of rainfall on " homogenous " geological zones of Lez aquifer (France) to the flash flood genesis: Application of KNOX Method: Conference FRIEND 2014, 2014. ,
Dynamics and contribution of karst groundwater to surface flow during Mediterranean flood, Environmental Geology, vol.27, issue.5, pp.725-73010, 2007. ,
DOI : 10.1007/s00254-006-0386-y
Complexity selection of a neural network model for karst flood forecasting: The case of the Lez Basin (southern France), Journal of Hydrology, vol.403, issue.3-4, pp.367-380, 2011. ,
DOI : 10.1016/j.jhydrol.2011.04.015
URL : https://hal.archives-ouvertes.fr/hal-00656598
Optimization of the generalization capability for rainfall???runoff modeling by neural networks: the case of the Lez aquifer (southern France), Environmental Earth Sciences, vol.214, issue.1???4, pp.2365-237510, 1450. ,
DOI : 10.1007/s10489-010-0210-y
KnoX method, or Knowledge eXtraction from neural network model. Case study on the Lez karst aquifer (southern France), Case study on the Lez karst aquifer, pp.19-32, 2013. ,
DOI : 10.1016/j.jhydrol.2013.10.011
Modélisation hydrologique distribuée sur le Gardon d'Anduze; étude comparative de différents modèles pluie-débit, extrapolation de la normale à l'extrême et tests d'hypothèses sur les processus hydrologiques, 2007. ,
Le système karstique de la source du Lez (Hérault), Méditerranée, pp.71-83, 1978. ,
DOI : 10.3406/medit.1978.1771
Combining hydraulic model, hydrogeomorphological observations and chemical analyses of surface waters to improve knowledge on karst flash floods genesis, IUGG, p.2015 ,
DOI : 10.5194/piahs-369-55-2015
URL : https://hal.archives-ouvertes.fr/hal-02140200