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NRCS-CN Estimation from Onsite and Remote Sensing Data for Management of a Reservoir in the Eastern Pyrenees

Sanz-Ramos, Marcos, Marti-Cardona, Belen, Blade, Ernest, Seco, Irene, Amengual, Arnau, Roux, Helene and Romero, Romu (2020) NRCS-CN Estimation from Onsite and Remote Sensing Data for Management of a Reservoir in the Eastern Pyrenees Journal of Hydrologic Engineering, 25 (9).

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Abstract

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.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
NameEmailORCID
Sanz-Ramos, Marcos
Marti-Cardona, Belenb.marti-cardona@surrey.ac.uk
Blade, Ernest
Seco, Irene
Amengual, Arnau
Roux, Helene
Romero, Romu
Date : 17 June 2020
DOI : 10.1061/ (ASCE)HE.1943-5584.0001979.
OA Location : https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1943-5584.0001979
Copyright Disclaimer : © 2020 American Society of Civil Engineers.
Depositing User : James Marshall
Date Deposited : 02 Jul 2020 08:48
Last Modified : 02 Jul 2020 08:48
URI: http://epubs.surrey.ac.uk/id/eprint/858119

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