A5086424621- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Soil erosion and sediment transport
- Precipitation Measurement and Analysis
- Cryospheric studies and observations
- Hydrology and Sediment Transport Processes
- Climate variability and models
- Meteorological Phenomena and Simulations
- Hydrological Forecasting Using AI
- Water resources management and optimization
- Soil Geostatistics and Mapping
- Climate change and permafrost
- Plant Water Relations and Carbon Dynamics
- French Urban and Social Studies
- Hydraulic flow and structures
- Urban Stormwater Management Solutions
- Water management and technologies
- Geophysics and Gravity Measurements
- Fish Ecology and Management Studies
- Geography and Environmental Studies
- Aquatic and Environmental Studies
- Historical and Environmental Studies
- Tree-ring climate responses
- Geological Modeling and Analysis
Forum Réfugiés - Cosi
2023-2024
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2021-2023
Communauté urbaine de Lyon
2012-2021
Institut dal Dicziunari Rumantsch Grischun
2018
Stress Environnementaux et Biosurveillance des Milieux Aquatiques
2017
Laboratoire d’HYdrologie et de GEochimie
1996-2011
Centre d'Énergétique et de Thermique de Lyon
2002-2011
Laboratoire de Glaciologie et Géophysique de l’Environnement
2008
Institut National des Sciences Appliquées de Lyon
2007
Norsk Hydro (Norway)
2007
The hydrometeorological model SIM consists of a meteorological analysis system (SAFRAN), land surface (ISBA), and hydrogeological (MODCOU). It generates atmospheric forcing at an hourly time step, it computes water energy budgets, the river flow more than 900 river‐gauging stations, level several aquifers. was extended over all France in order to have homogeneous nationwide monitoring resources: can therefore be used forecast flood risk monitor drought entire nation. applied 10‐year period...
This study explores the decomposition of predictive uncertainty in hydrological modeling into its contributing sources. is pursued by developing data‐based probability models describing uncertainties rainfall and runoff data incorporating them Bayesian total error analysis methodology (BATEA). A case based on Yzeron catchment (France) conceptual rainfall‐runoff model GR4J presented. It exploits a calibration period where dense rain gauge are available to characterize average using...
Abstract. This paper presents a coupled observation and modelling strategy aiming at improving the understanding of processes triggering flash floods. is illustrated for Mediterranean area using two French catchments (Gard Ardèche) larger than 2000 km2. The approach based on monitoring nested spatial scales: (1) hillslope scale, where influencing runoff generation its concentration can be tackled; (2) small to medium catchment scale (1–100 km2), impact network structure variability rainfall,...
Previous studies linking large-scale atmospheric circulation and river flow with traditional machine learning techniques have predominantly explored monthly, seasonal or annual streamflow modelling for applications in direct downscaling hydrological climate-impact studies. This paper identifies major drivers of daily from using two reanalysis datasets six catchments Norway representing various Köppen-Geiger climate types flood-generating processes. A nested loop roughly pruned random forests...
[1] Space-time rainfall simulation is useful to study questions like, for instance, the propagation of rainfall-measurement uncertainty in hydrological modeling. This adapts a classical Gaussian field technique, turning-band method, order produce sequences fields satisfying three key features actual precipitation systems: (i) skewed point distribution and space-time structure nonzero (NZR); (ii) average probability intermittency; (iii) prescribed advection field. The acronym our simulator...
The paper describes the implementation of a macroscale hydrological model in Rhone river basin. is coupled with soil vegetation ‐ atmosphere transfer scheme order to resolve daily cycle surface energy balance and water budget. routing table evolution are computed time step. First, important database collected basin on soil, vegetation, regimes, atmospheric variables briefly described. forced by observed quantities during 1 year. simulation results discussed respect stream flows, content,...
Abstract. The Somme River Basin is located above a chalk aquifer and the discharge of somme highly influenced by groundwater inflow (90% river baseflow). In 2001, suffered from major flood causing damages estimated to 100 million euro (Deneux Martin, 2001). purpose present research evaluate ability four hydrologic models reproduce events in over an 18-year period, comparison with observed piezometric level as well satellite-derived extents flooded area. used differ their computation surface...
Abstract Floods are major natural disasters that, in several occasions, can be responsible for life losses and severe economic damages. Flood forecasting alert systems needed to anticipate the arrival of these events mitigate their impacts. They particularly important risk management response nowcasting flash floods. In this case, precipitation fields crucial is consider uncertainties coming from observed used as input data system. One approach take into account generate an ensemble possible...
Abstract A novel approach for mapping river runoff is presented. It based on a disaggregation of the mean annual streamflow measured at outlet basin to estimate water depths elements an exact partition this basin. The developed technique geostatistical interpolation procedures which global constraint balance has been added. methodology illustrated by case study from tributary Rhône River, France. results were compared established method-the nested approach, and cross-validation was performed...
Abstract. The analysis of flood exposure at a national scale for the French insurance market must combine generation probabilistic event set all possible (but which have not yet occurred) situations with hazard and damage modeling. In this study, models are calibrated on 1995–2010 historical set, both results (river flow, flooded areas) loss estimations. Thus, uncertainties in deterministic estimation single known before simulating set. To take into account least 90 % insured losses, river...
Abstract. The study presents an approach to represent the two first order moments of temporal runoff variability as a function catchment area and aggregation time interval, map them in space. problem is divided into steps. First, moment (the long term value) analysed mapped applying interpolation procedure for river runoff. In second step simple random model process proposed instantaneous point normalised with respect mean. From this analytical expressions time-space variance-covariance...
Résumé La variabilité du climat, une gestion non optimale de la ressource en eau et l'intensification des activités anthropiques pourraient être les trois facteurs majeurs menaçant écoulements l'état dans sous-bassins algériens. C'est le cas bassin Tafna partie occidentale l'Algérie. Ce est situé région au climat semi-aride. Outre l'influence précipitations, nous examinerons cet article contribution possible d'autres (géologiques, topographiques anthropiques) à Tafna. Pour cela, plus...
Abstract Studies carried out worldwide show that topography influences rainfall climatology. As in most western Mediterranean regions, the mountainous Cévennes–Vivarais area France regularly experiences extreme precipitation may lead to devastating flash floods. Global warming could further aggravate this situation, but possibility cannot be confirmed without first improving understanding of role regional climate and, particular, for events. This paper focuses on organized banded and...
Abstract Observations and simulations of rainfall events are usually compared by analyzing (i) the total depth produced event (ii) location maximum. A different approach is proposed here that compares mesoscale simulated fields with ground observations within multiscale framework maximum intensity diagrams severity diagrams. While first simply displays an at a number scales, second gives frequency occurrence intensities as function spatial temporal aggregation highlighting space–time scales...