River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

A methodology to estimate the discharge along rivers, even poorly gauged ones, taking advantage of water level measurements derived from satellite altimetry is proposed. The procedure is based on the application of the Rating Curve Model (RCM), a simple method allowing for the estimation of the flow...

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Main Authors: Tommaso Moramarco, Angelica Tarpanelli, Luca Brocca, Silvia Barbetta
Format: Article
Language:English
Published: MDPI AG 2013-08-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/5/9/4145
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spelling doaj-15bd5e5c33e94baa90596d28342fc6252020-11-24T21:43:02ZengMDPI AGRemote Sensing2072-42922013-08-01594145416210.3390/rs5094145River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing ModelingTommaso MoramarcoAngelica TarpanelliLuca BroccaSilvia BarbettaA methodology to estimate the discharge along rivers, even poorly gauged ones, taking advantage of water level measurements derived from satellite altimetry is proposed. The procedure is based on the application of the Rating Curve Model (RCM), a simple method allowing for the estimation of the flow conditions in a river section using only water levels recorded at that site and the discharges observed at another upstream section. The European Remote-Sensing Satellite 2, ERS-2, and the Environmental Satellite, ENVISAT, altimetry data are used to provide time series of water levels needed for the application of RCM. In order to evaluate the usefulness of the approach, the results are compared with the ones obtained by applying an empirical formula that allows discharge estimation from remotely sensed hydraulic information. To test the proposed procedure, the 236 km-reach of the Po River is investigated, for which five in situ stations and four satellite tracks are available. Results show that RCM is able to appropriately represent the discharge, and its performance is better than the empirical formula, although this latter does not require upstream hydrometric data. Given its simple formal structure, the proposed approach can be conveniently utilized in ungauged sites where only the survey of the cross-section is needed.http://www.mdpi.com/2072-4292/5/9/4145altimetry dataremote sensingriver dischargeRating Curve ModelPo River
collection DOAJ
language English
format Article
sources DOAJ
author Tommaso Moramarco
Angelica Tarpanelli
Luca Brocca
Silvia Barbetta
spellingShingle Tommaso Moramarco
Angelica Tarpanelli
Luca Brocca
Silvia Barbetta
River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling
Remote Sensing
altimetry data
remote sensing
river discharge
Rating Curve Model
Po River
author_facet Tommaso Moramarco
Angelica Tarpanelli
Luca Brocca
Silvia Barbetta
author_sort Tommaso Moramarco
title River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling
title_short River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling
title_full River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling
title_fullStr River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling
title_full_unstemmed River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling
title_sort river discharge estimation by using altimetry data and simplified flood routing modeling
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2013-08-01
description A methodology to estimate the discharge along rivers, even poorly gauged ones, taking advantage of water level measurements derived from satellite altimetry is proposed. The procedure is based on the application of the Rating Curve Model (RCM), a simple method allowing for the estimation of the flow conditions in a river section using only water levels recorded at that site and the discharges observed at another upstream section. The European Remote-Sensing Satellite 2, ERS-2, and the Environmental Satellite, ENVISAT, altimetry data are used to provide time series of water levels needed for the application of RCM. In order to evaluate the usefulness of the approach, the results are compared with the ones obtained by applying an empirical formula that allows discharge estimation from remotely sensed hydraulic information. To test the proposed procedure, the 236 km-reach of the Po River is investigated, for which five in situ stations and four satellite tracks are available. Results show that RCM is able to appropriately represent the discharge, and its performance is better than the empirical formula, although this latter does not require upstream hydrometric data. Given its simple formal structure, the proposed approach can be conveniently utilized in ungauged sites where only the survey of the cross-section is needed.
topic altimetry data
remote sensing
river discharge
Rating Curve Model
Po River
url http://www.mdpi.com/2072-4292/5/9/4145
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