A5081503838- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Climate variability and models
- Hydrology and Sediment Transport Processes
- Soil erosion and sediment transport
- Hydraulic flow and structures
- Tree-ring climate responses
- Water resources management and optimization
- Meteorological Phenomena and Simulations
- Financial Risk and Volatility Modeling
- Precipitation Measurement and Analysis
- French Urban and Social Studies
- Water management and technologies
- Hydrological Forecasting Using AI
- Cryospheric studies and observations
- Geophysics and Gravity Measurements
- Reservoir Engineering and Simulation Methods
- Catalytic Processes in Materials Science
- Statistical Methods and Inference
- Advanced Database Systems and Queries
- demographic modeling and climate adaptation
- French Historical and Cultural Studies
- Probabilistic and Robust Engineering Design
- Dam Engineering and Safety
Forum Réfugiés - Cosi
2022-2024
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2005-2024
University of Rostock
2023
Communauté urbaine de Lyon
2013-2022
Association Française pour le Dépistage et la Prévention des Handicaps de l’Enfant
2017
Institut dal Dicziunari Rumantsch Grischun
2012-2017
Laboratoire d’HYdrologie et de GEochimie
2000-2011
Norsk Hydro (Norway)
2007
University of Michigan
2005-2006
Centre d'Énergétique et de Thermique de Lyon
2004-2006
Abstract. There is growing concern that flooding becoming more frequent and severe in Europe. A better understanding of flood regime changes their drivers therefore needed. The paper reviews the current knowledge on European rivers has traditionally been obtained through two alternative research approaches. first approach data-based detection observed events. Current methods are reviewed together with challenges opportunities. For example, observation biases, merging different data sources...
Abstract The Cévennes–Vivarais Mediterranean Hydrometeorological Observatory (OHM-CV) is a research initiative aimed at improving the understanding and modeling of intense rain events that frequently result in devastating flash floods southern France. A primary objective to bring together skills meteorologists hydrologists, modelers instrumentalists, researchers practitioners, cope with these rather unpredictable events. In line previously published flash-flood monographs, present paper aims...
This paper describes regional methods for assessing field significance and consistency trend detection in hydrological extremes. Four procedures are compared on the basis of Monte Carlo simulations. Then three tests, based a variable, average Mann‐Kendall test, new semiparametric approach, tested. The latter was found to be most adequate detect consistent changes within homogeneous hydro‐climatic regions. Finally, these applied France, using daily discharge data arising from 195 gauging...
Abstract Streamflow data are used for important environmental and economic decisions, such as specifying regulating minimum flows, managing water supplies, planning flood hazards. Despite significant uncertainty in most flow data, the series these applications often communicated without information. In this commentary, we argue that proper analysis of river can reduce costs promote robust conclusions management applications. We substantiate our argument by providing case studies from Norway...
This paper illustrates the importance of taking into account potential errors in discharge estimation assessment extreme floods. First, a summary main difficulties encountered extrapolating rating curves for flood is provided. Then sensitivity analysis carried out using hydraulic modelling approach, applied to eight Mediterranean catchments, and yielding an envelope curve stage–discharge relationship, Q(H). To assess influence on uncertainty estimating floods, Bayesian framework including...
Flood frequency analysis based on a set of systematic data and historical floods is applied to several Mediterranean catchments. After identification collection floods, hydraulic models were constructed account for geomorphological changes. Recent rating curves reconstruct flood discharge series, together with their uncertainty. This uncertainty stems from two types error: (a) random errors related the water-level readings; (b) over- or under-estimation curve. A Bayesian performed take both...
Abstract. This paper presents a probabilistic model for daily rainfall, using sub-sampling based on meteorological circulation. We classified eight typical but contrasted synoptic situations (weather patterns) France and surrounding areas, "bottom-up" approach, i.e. from the shape of rain field to described by geopotential fields. These weather patterns (WP) provide discriminating variable that is consistent with French climatology, allows seasonal rainfall records be split into more...
Key Points A general framework for comparing frequency analysis methods Focus is on the predictive performance of Reliability uncertainty estimates assessed using a distribution
Abstract. Floods are a major natural hazard in the Mediterranean region, causing deaths and extensive damages. Recent studies have shown that intense rainfall events becoming more extreme this region but, paradoxically, without leading to an increase severity of floods. Consequently, it is important understand how flood changing explain absence trends magnitude despite increased extremes. A database 98 stations southern France with average record 50 years daily river discharge data between...
Abstract. Interdisciplinary frameworks for studying natural hazards and their temporal trends have an important potential in data generation risk assessment, land use planning, therefore the sustainable management of resources. This paper focuses on adjustments required because wide variety scientific fields involved reconstruction characterisation flood events past 1000 years. The aim this is to describe various methodological aspects study historical dimension, including critical...
Bayesian analysis is becoming increasingly popular in a number of fields, including hydrology. It appears to be convenient framework for deriving complex models agreement with both physical reality and statistical requirements. The aim this paper present an application the regional frequency extremes nonstationary context. A model thus proposed, together related hypotheses. inference then described. Markov chain Monte Carlo (MCMC) methods are needed purpose because dimensionality described...