NRCS-CN estimation from onsite and remote sensing data for management of a reservoir in the Eastern Pyrenees

Autor: Arnau Amengual, Irene Seco, Ernest Bladé, Romu Romero, Belen Marti-Cardona, Hélène Roux, Marcos Sanz-Ramos
Přispěvatelé: Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Universitat Politècnica de Catalunya - UPC (SPAIN), Universitat de les Illes Balears (SPAIN), University of Surrey (UNITED KINGDOM), Institut de Mécanique des Fluides de Toulouse - IMFT (Toulouse, France), Universitat Politècnica de Catalunya. Doctorat en Enginyeria Civil, Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental, Universitat Politècnica de Catalunya. FLUMEN - Dinàmica Fluvial i Enginyeria Hidrològica, Instituto Flumen, ETS d'Enginyers de Camin, University of Surrey (UNIS), Universitat de les Illes Balears (UIB), Institut de mécanique des fluides de Toulouse (IMFT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Earth observation
Hydrologic models
010504 meteorology & atmospheric sciences
Hydrological modelling
Mécanique des fluides
0208 environmental biotechnology
Water conservation
Antecedent moisture
02 engineering and technology
Runoff curve number
01 natural sciences
[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]
Enginyeria civil::Geologia::Hidrologia subterrània [Àrees temàtiques de la UPC]
Information management
Antecedent moisture condition (AMC)- Mediterranean region
Environmental Chemistry
Flood risk
[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
Pantans (Enginyeria civil)
Reservoir management
Hydrologie
0105 earth and related environmental sciences
General Environmental Science
Water Science and Technology
Civil and Structural Engineering
Remote sensing
Hydrological distributed modeling
Flood myth
Simulation modeling
Natural Resources Conservation Service curve number (NRCS-CN)
Simulation models
Floods
020801 environmental engineering
Water resources
Reservoirs
Calibration
Environmental science
Reservoirs--Spain
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Journal of Hydrologic Engineering
Journal of Hydrologic Engineering, American Society of Civil Engineers, 2020, 25 (9), pp.05020022. ⟨10.1061/(asce)he.1943-5584.0001979⟩
ISSN: 1943-5584
1084-0699
DOI: 10.1061/(asce)he.1943-5584.0001979⟩
Popis: This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29HE.1943-5584.0001979. Onsite and Earth observation (EO) data are used for the calibration of the Natural Resources Conservation Service curve number (NRCS-CN) value in a hydrological simulation model. The model was developed for La Muga catchment (eastern Pyrenees) highly vulnerable to flood and drought episodes. It is an integral part of a regional reservoir management tool, which aims at minimizing the flood risk while maximizing the preservation of water storage. The CN values were optimized for five recorded events for the model to match the observed hydrographs at the reservoir when supported with the measured rainfall intensities. This study also investigates the possibilities of using antecedent moisture conditions (AMC) retrieved from satellite data to inform the selection of the NRCS-CN losses parameter. A good correlation was found between the calibrated CN values and the AMC obtained from satellite data. This correlation highlights the interest in using EO data to update NRCS-CN estimates. This advances in hydrologic-hydraulic coupled modeling combined with new remote sensing datasets present valuable opportunities and potential benefits for flood risk management and water resources preservation. This work was carried out in the framework of the PGRI-EPM project (Prévision et gestion du risque d’inondation en Eurorégion Pyrénées Méditerranée) funded by the call for projects “Water Resources–Risk Management (Floods, Droughts, Submersion)” of the Pyrenees-Mediterranean Euroregion. The authors also thank to the Agència Catalana de l’Aigua and Servei Meteorològic de Catalunya, who provided the rainfall and water-level data, as well as its advisement during the project.
Databáze: OpenAIRE