Articles | Volume 24, issue 7
https://doi.org/10.5194/hess-24-3513-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-3513-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Automatic identification of alternating morphological units in river channels using wavelet analysis and ridge extraction
Sorbonne Université, CNRS, EPHE, Milieux environnementaux, transferts et interaction dans les hydrosystèmes et les sols, METIS, 75005 Paris, France
Nicolas Le Moine
Sorbonne Université, CNRS, EPHE, Milieux environnementaux, transferts et interaction dans les hydrosystèmes et les sols, METIS, 75005 Paris, France
Roger Moussa
INRA, UMR LISAH, 2 Place Pierre Viala, 34060 Montpellier, France
Oldrich Navratil
University of Lyon, Lumiẽre Lyon 2, Department of Geography, CNRS 5600 EVS, Lyon, France
Pierre Ribstein
Sorbonne Université, CNRS, EPHE, Milieux environnementaux, transferts et interaction dans les hydrosystèmes et les sols, METIS, 75005 Paris, France
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Antoine Allam, Roger Moussa, Wajdi Najem, and Claude Bocquillon
Proc. IAHS, 385, 103–109, https://doi.org/10.5194/piahs-385-103-2024, https://doi.org/10.5194/piahs-385-103-2024, 2024
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Mediterranean water resources are more than ever exposed to the increasing demand of demographic and climatic evolution. To better understand these challenges, this article aimed to collect a hydrological database, establish a new climatic classification for hydrology purposes, identify the physiographic variability and homogeneity in the case of mountainous karstic catchments under snow influence, and analyzed the hydrological balance of 55 catchments according to different functional models.
Martin Le Mesnil, Roger Moussa, Jean-Baptiste Charlier, and Yvan Caballero
Hydrol. Earth Syst. Sci., 25, 1259–1282, https://doi.org/10.5194/hess-25-1259-2021, https://doi.org/10.5194/hess-25-1259-2021, 2021
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We present an innovative approach consisting of the statistical analysis and comparison of 15 hydrological descriptors, characterizing catchment response to rainfall events. The distribution of these descriptors is analysed according to the occurrence of karst areas inside 108 catchments. It shows that karst impacts on storm events mainly result in river losses and that interbasin groundwater flows can represent a significant part of the catchment water budget ah the event timescale.
Antoine Allam, Roger Moussa, Wajdi Najem, and Claude Bocquillon
Hydrol. Earth Syst. Sci., 24, 4503–4521, https://doi.org/10.5194/hess-24-4503-2020, https://doi.org/10.5194/hess-24-4503-2020, 2020
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With serious concerns about global change rising in the Mediterranean, we established a new climatic classification to follow hydrological and ecohydrological activities. The classification coincided with a geographical distribution ranging from the most seasonal and driest class in the south to the least seasonal and most humid in the north. RCM scenarios showed that northern classes evolve to southern ones with shorter humid seasons and earlier snowmelt which might affect hydrologic regimes.
Céline Monteil, Fabrice Zaoui, Nicolas Le Moine, and Frédéric Hendrickx
Hydrol. Earth Syst. Sci., 24, 3189–3209, https://doi.org/10.5194/hess-24-3189-2020, https://doi.org/10.5194/hess-24-3189-2020, 2020
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Environmental modelling is complex, and models often require the calibration of several parameters that are not able to be directly evaluated from a physical quantity or a field measurement. Based on our experience in hydrological modelling, we propose combining two algorithms to obtain a fast and accurate way of calibrating complex models (many parameters and many objectives). We built an R package, caRamel, so that this multi-objective calibration algorithm can be easily implemented.
Antoine Allam, Roger Moussa, Wajdi Najem, and Claude Bocquillon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-381, https://doi.org/10.5194/hess-2019-381, 2019
Manuscript not accepted for further review
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This Mediterranean climatic classification is useful in following up water resources management and ecohydrological applications. Climatic classes ranged from the most seasonal and dry in the South to the least seasonal and most humid in the North, showing up the climatic continuity and change trends visibility. The climate change impact simulated under RCP scenarios showed an increase of the average seasonality and aridity, with north classes slowly evolving towards moderate southern classes.
Camille Jourdan, Valérie Borrell-Estupina, David Sebag, Jean-Jacques Braun, Jean-Pierre Bedimo Bedimo, François Colin, Armand Crabit, Alain Fezeu, Cécile Llovel, Jules Rémy Ndam Ngoupayou, Benjamin Ngounou Ngatcha, Sandra Van-Exter, Eric Servat, and Roger Moussa
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-116, https://doi.org/10.5194/hess-2019-116, 2019
Publication in HESS not foreseen
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In the theme Panta Rhei, this paper aims to develop a combined approach of data acquisition and a new semi-distributed non-stationary model taking into account land-use changes to reconstruct and predict annual runoff on an urban catchment in a data-sparse context. We use historical data and deploy a complementary short-term spatially-dense dedicated instrumentation. Applications were conducted on the tropical Mefou catchment (Yaoundé, Cameroon) to assess contributions of sub-catchments.
Cédric Rebolho, Vazken Andréassian, and Nicolas Le Moine
Hydrol. Earth Syst. Sci., 22, 5967–5985, https://doi.org/10.5194/hess-22-5967-2018, https://doi.org/10.5194/hess-22-5967-2018, 2018
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Inundation models are useful for hazard management and prevention. They are traditionally based on hydraulic partial differential equations (with satisfying results but large data and computational requirements). This study presents a simplified approach combining reach-scale geometric properties with steady uniform flow equations. The model shows promising results overall, although difficulties persist in the most complex urbanised reaches.
Laura Rouhier, Federico Garavaglia, Matthieu Le Lay, Timothée Michon, William Castaings, Nicolas Le Moine, Frédéric Hendrickx, Céline Monteil, and Pierre Ribstein
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-342, https://doi.org/10.5194/hess-2018-342, 2018
Manuscript not accepted for further review
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Parameter estimation of distributed hydrological models is usually conducted with a single method. However, the main methods can be combined to consider differently the model parameters according to their characteristics. The strategy presented in the paper takes advantage of three different methods to provide four different spatial patterns. This tailor-made method then proves to be more robust and more relevant for prediction in ungauged basins while significantly reducing the number of degree.
Philippe Riboust, Nicolas Le Moine, Guillaume Thirel, and Pierre Ribstein
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-539, https://doi.org/10.5194/hess-2017-539, 2017
Revised manuscript not accepted
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In hydrological modelling complex forcing data are often needed to reproduce the energy balance, mainly for simulating snowmelt and evapotranspiration processes. Incoming radiation data are not widely measured and are often derived from reanalyses. We provide a method for simulating these radiations in mountainous areas using only daily temperature range data and a digital elevation model. The method has been validated on 105 weather stations and a simple snow surface temperature model.
Roger Moussa and Jean-Paul Lhomme
Hydrol. Earth Syst. Sci., 20, 4867–4879, https://doi.org/10.5194/hess-20-4867-2016, https://doi.org/10.5194/hess-20-4867-2016, 2016
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A new physically based formulation is proposed to extend the Budyko framework under non-steady-state conditions, taking into account the change in water storage. The new formulation, which introduces an additional parameter, represents a generic framework applicable to any Budyko function at various time steps. It is compared to other formulations from the literature and the analytical solution of Greve et al. (2016) appears to be a particular case.
Jean-Paul Lhomme and Roger Moussa
Hydrol. Earth Syst. Sci., 20, 4857–4865, https://doi.org/10.5194/hess-20-4857-2016, https://doi.org/10.5194/hess-20-4857-2016, 2016
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The Budyko functions are matched with the complementary evaporation relationship. We show that there is a functional dependence between the Budyko functions and the drying power of the air. Examining the case where potential evaporation is calculated by means of a Priestley–Taylor type equation with a varying coefficient, we show that this coefficient should have a specified value as a function of the Budyko shape parameter and the aridity index.
Vazken Andréassian, Laurent Coron, Julien Lerat, and Nicolas Le Moine
Hydrol. Earth Syst. Sci., 20, 4503–4524, https://doi.org/10.5194/hess-20-4503-2016, https://doi.org/10.5194/hess-20-4503-2016, 2016
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We present a new method to derive the empirical (i.e., data-based) elasticity of streamflow to precipitation and potential evaporation. This method, which uses long-term hydrometeorological records, is tested on a set of 519 French catchments. We compare our method with the classical approach found in the literature and demonstrate its robustness and efficiency. Empirical elasticity is a powerful tool to test the extrapolation capacity of hydrological models.
Bruno Cheviron and Roger Moussa
Hydrol. Earth Syst. Sci., 20, 3799–3830, https://doi.org/10.5194/hess-20-3799-2016, https://doi.org/10.5194/hess-20-3799-2016, 2016
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This review paper investigates the determinants of modelling choices for numerous applications of 1-D free-surface flow and morphodynamics in hydrology and hydraulics. Each case study has a signature composed of given contexts (spatiotemporal scales, flow typology, and phenomenology) and chosen concepts (refinement and subscales of the flow model). This review proposes a normative procedure possibly enriched by the community for a larger, comprehensive and updated image of modelling strategies.
C. Leauthaud, G. Belaud, S. Duvail, R. Moussa, O. Grünberger, and J. Albergel
Hydrol. Earth Syst. Sci., 17, 3059–3075, https://doi.org/10.5194/hess-17-3059-2013, https://doi.org/10.5194/hess-17-3059-2013, 2013
Related subject area
Subject: Rivers and Lakes | Techniques and Approaches: Mathematical applications
GRAINet: mapping grain size distributions in river beds from UAV images with convolutional neural networks
A wavelet-based approach to streamflow event identification and modeled timing error evaluation
Variability in epilimnion depth estimations in lakes
Hydrodynamic and environmental characteristics of a tributary bay influenced by backwater jacking and intrusions from a main reservoir
Stream temperature and discharge evolution in Switzerland over the last 50 years: annual and seasonal behaviour
Estimating extreme river discharges in Europe through a Bayesian network
KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study
Reply to D. L. Peters' Comment on "Streamflow input to Lake Athabasca, Canada" by Rasouli et al. (2013)
Temporal and spatial changes of water quality and management strategies of Dianchi Lake in southwest China
A model based on dimensional analysis for prediction of nitrogen and phosphorus concentrations at the river station Ižkovce, Slovakia
A hybrid model of self organizing maps and least square support vector machine for river flow forecasting
Spatial variability in floodplain sedimentation: the use of generalized linear mixed-effects models
Flood trends and variability in the Mekong river
Nico Lang, Andrea Irniger, Agnieszka Rozniak, Roni Hunziker, Jan Dirk Wegner, and Konrad Schindler
Hydrol. Earth Syst. Sci., 25, 2567–2597, https://doi.org/10.5194/hess-25-2567-2021, https://doi.org/10.5194/hess-25-2567-2021, 2021
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Grain size analysis is the key to understanding the sediment dynamics of river systems and is an important indicator for mitigating flood risk and preserving biodiversity in aquatic habitats. We propose GRAINet, a data-driven approach based on deep learning, to regress grain size distributions from georeferenced UAV images. This allows for a holistic analysis of entire gravel bars, resulting in robust grading curves and high-resolution maps of spatial grain size distribution at large scale.
Erin Towler and James L. McCreight
Hydrol. Earth Syst. Sci., 25, 2599–2615, https://doi.org/10.5194/hess-25-2599-2021, https://doi.org/10.5194/hess-25-2599-2021, 2021
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We present a wavelet-based approach to quantify streamflow timing errors for model evaluation and development. We demonstrate the method using real and simulated stream discharge data from several locations. We show how results can be used to identify potential hydrologic processes contributing to the timing errors. Furthermore, we illustrate how the method can document model performance by comparing timing errors across versions of the National Water Model.
Harriet L. Wilson, Ana I. Ayala, Ian D. Jones, Alec Rolston, Don Pierson, Elvira de Eyto, Hans-Peter Grossart, Marie-Elodie Perga, R. Iestyn Woolway, and Eleanor Jennings
Hydrol. Earth Syst. Sci., 24, 5559–5577, https://doi.org/10.5194/hess-24-5559-2020, https://doi.org/10.5194/hess-24-5559-2020, 2020
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Lakes are often described in terms of vertical layers. The
epilimnionrefers to the warm surface layer that is homogeneous due to mixing. The depth of the epilimnion can influence air–water exchanges and the vertical distribution of biological variables. We compared various methods for defining the epilimnion layer and found large variability between methods. Certain methods may be better suited for applications such as multi-lake comparison and assessing the impact of climate change.
Xintong Li, Bing Liu, Yuanming Wang, Yongan Yang, Ruifeng Liang, Fangjun Peng, Shudan Xue, Zaixiang Zhu, and Kefeng Li
Hydrol. Earth Syst. Sci., 24, 5057–5076, https://doi.org/10.5194/hess-24-5057-2020, https://doi.org/10.5194/hess-24-5057-2020, 2020
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We aim to understand the hydrodynamic and environmental characteristics of a tributary bay influenced by a main reservoir. The results showed that the tributary bay was mainly affected by backwater jacking of the main reservoir when the water level dropped and by intrusion of the main reservoir when the water level rose. An obvious quality concentration boundary existed in the tributary bay. The results of this study can provide guidance for water environment protection in tributary bays.
Adrien Michel, Tristan Brauchli, Michael Lehning, Bettina Schaefli, and Hendrik Huwald
Hydrol. Earth Syst. Sci., 24, 115–142, https://doi.org/10.5194/hess-24-115-2020, https://doi.org/10.5194/hess-24-115-2020, 2020
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This study constitutes the first comprehensive analysis of river
temperature in Switzerland combined with discharge and key meteorological variables, such as air temperature and precipitation. It is also the first study to discuss the large-scale seasonal behaviour of stream temperature in Switzerland. This research shows the clear increase of river temperature in Switzerland over the last few decades and may serve as a solid reference for future climate change scenario simulations.
Dominik Paprotny and Oswaldo Morales-Nápoles
Hydrol. Earth Syst. Sci., 21, 2615–2636, https://doi.org/10.5194/hess-21-2615-2017, https://doi.org/10.5194/hess-21-2615-2017, 2017
P. Ronco, M. Bullo, S. Torresan, A. Critto, R. Olschewski, M. Zappa, and A. Marcomini
Hydrol. Earth Syst. Sci., 19, 1561–1576, https://doi.org/10.5194/hess-19-1561-2015, https://doi.org/10.5194/hess-19-1561-2015, 2015
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The aim of the paper is the application of the KULTURisk regional risk assessment (KR-RRA) methodology, presented in the companion paper (Part 1), to the Sihl River basin, in northern Switzerland. Flood-related risks have been assessed for different receptors lying in the Sihl river valley including the city of Zurich, which represents a typical case of river flooding in an urban area, by means of a calibration process of the methodology to the site-specific context and features.
K. Rasouli, M. A. Hernández-Henríquez, and S. J. Déry
Hydrol. Earth Syst. Sci., 19, 1287–1292, https://doi.org/10.5194/hess-19-1287-2015, https://doi.org/10.5194/hess-19-1287-2015, 2015
T. Zhang, W. H. Zeng, S. R. Wang, and Z. K. Ni
Hydrol. Earth Syst. Sci., 18, 1493–1502, https://doi.org/10.5194/hess-18-1493-2014, https://doi.org/10.5194/hess-18-1493-2014, 2014
M. Zeleňáková, M. Čarnogurská, M. Šlezingr, D. Słyś, and P. Purcz
Hydrol. Earth Syst. Sci., 17, 201–209, https://doi.org/10.5194/hess-17-201-2013, https://doi.org/10.5194/hess-17-201-2013, 2013
S. Ismail, A. Shabri, and R. Samsudin
Hydrol. Earth Syst. Sci., 16, 4417–4433, https://doi.org/10.5194/hess-16-4417-2012, https://doi.org/10.5194/hess-16-4417-2012, 2012
A. Cabezas, M. Angulo-Martínez, M. Gonzalez-Sanchís, J. J. Jimenez, and F. A. Comín
Hydrol. Earth Syst. Sci., 14, 1655–1668, https://doi.org/10.5194/hess-14-1655-2010, https://doi.org/10.5194/hess-14-1655-2010, 2010
J. M. Delgado, H. Apel, and B. Merz
Hydrol. Earth Syst. Sci., 14, 407–418, https://doi.org/10.5194/hess-14-407-2010, https://doi.org/10.5194/hess-14-407-2010, 2010
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Short summary
We present an automatic procedure based on wavelet ridge extraction to identify some characteristics of alternating morphological units (e.g., pools to riffles). We used four hydro-morphological variables (velocity, hydraulic radius, bed shear stress, local channel direction angle). We find that the wavelengths are consistent with the values of the literature, and the use of a multivariate approach yields more robust results and ensures a consistent covariance of flow variables.
We present an automatic procedure based on wavelet ridge extraction to identify some...