The potential of satellite radar altimetry in flood forecasting: concept and implementation for the Niger-Benue River Basin

Flood forecasting in the downstream part of any hydrological basin is extremely difficult due to the lack of basin-wide hydrological information in near real-time and the absence of a data-sharing treaty among the transboundary nations. The accuracy of forecasts emerging from a hydrological model co...

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Autores principales: Pandey, Rajesh, Amarnath, Giriraj
Formato: Journal Article
Lenguaje:Inglés
Publicado: Copernicus GmbH 2015
Materias:
Acceso en línea:https://hdl.handle.net/10568/77533
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author Pandey, Rajesh
Amarnath, Giriraj
author_browse Amarnath, Giriraj
Pandey, Rajesh
author_facet Pandey, Rajesh
Amarnath, Giriraj
author_sort Pandey, Rajesh
collection Repository of Agricultural Research Outputs (CGSpace)
description Flood forecasting in the downstream part of any hydrological basin is extremely difficult due to the lack of basin-wide hydrological information in near real-time and the absence of a data-sharing treaty among the transboundary nations. The accuracy of forecasts emerging from a hydrological model could be compromised without prior knowledge of the day-to-day flow regulation at different locations upstream of the Niger and Benue rivers. Only satellite altimeter monitoring allows us to identify the actual river levels upstream that reflect the human intervention at that location. This is critical for making accurate downstream forecasts. This present study aims to demonstrate the capability of altimeter-based flood forecasting along the Niger-Benue River in Nigeria. The study includes the comparison of decadal (at every 10 days from Jason-2) or monthly (at every 35 days from Envisat/AltiKa) observations from 2002 to 2014, with historical in situ measurements from 1990 to 2012. The water level obtained from these sources shows a good correlation (0.7–0.9). After validation of hydrological parameters obtained from two sources, a quantitative relation (rating curve) of upstream water level and downstream discharge is derived. This relation is then adopted for calculation of discharge at observation points, which is used to propagate the flow downstream at a desired location using a hydraulic river model. Results from this study from Jason-2 shows a promising correlation (R2 _x0015_90% with a Nash-Sutcliffe coefficient of more than 0.70) with 5 days ahead of downstream flow prediction over the Benue stream.
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spelling CGSpace775332025-06-17T08:23:35Z The potential of satellite radar altimetry in flood forecasting: concept and implementation for the Niger-Benue River Basin Pandey, Rajesh Amarnath, Giriraj satellite observation radar weather forecasting floods river basins hydrology models water levels flow discharge case studies Flood forecasting in the downstream part of any hydrological basin is extremely difficult due to the lack of basin-wide hydrological information in near real-time and the absence of a data-sharing treaty among the transboundary nations. The accuracy of forecasts emerging from a hydrological model could be compromised without prior knowledge of the day-to-day flow regulation at different locations upstream of the Niger and Benue rivers. Only satellite altimeter monitoring allows us to identify the actual river levels upstream that reflect the human intervention at that location. This is critical for making accurate downstream forecasts. This present study aims to demonstrate the capability of altimeter-based flood forecasting along the Niger-Benue River in Nigeria. The study includes the comparison of decadal (at every 10 days from Jason-2) or monthly (at every 35 days from Envisat/AltiKa) observations from 2002 to 2014, with historical in situ measurements from 1990 to 2012. The water level obtained from these sources shows a good correlation (0.7–0.9). After validation of hydrological parameters obtained from two sources, a quantitative relation (rating curve) of upstream water level and downstream discharge is derived. This relation is then adopted for calculation of discharge at observation points, which is used to propagate the flow downstream at a desired location using a hydraulic river model. Results from this study from Jason-2 shows a promising correlation (R2 _x0015_90% with a Nash-Sutcliffe coefficient of more than 0.70) with 5 days ahead of downstream flow prediction over the Benue stream. 2015 2016-11-01T13:39:54Z 2016-11-01T13:39:54Z Journal Article https://hdl.handle.net/10568/77533 en Open Access Copernicus GmbH Pandey, Rajesh; Amarnath, Giriraj. 2015. The potential of satellite radar altimetry in flood forecasting: concept and implementation for the Niger-Benue River Basin. Proceedings of the International Association of Hydrological Sciences, 370:223-227. doi: https://doi.org/10.5194/piahs-370-223-2015
spellingShingle satellite observation
radar
weather forecasting
floods
river basins
hydrology
models
water levels
flow discharge
case studies
Pandey, Rajesh
Amarnath, Giriraj
The potential of satellite radar altimetry in flood forecasting: concept and implementation for the Niger-Benue River Basin
title The potential of satellite radar altimetry in flood forecasting: concept and implementation for the Niger-Benue River Basin
title_full The potential of satellite radar altimetry in flood forecasting: concept and implementation for the Niger-Benue River Basin
title_fullStr The potential of satellite radar altimetry in flood forecasting: concept and implementation for the Niger-Benue River Basin
title_full_unstemmed The potential of satellite radar altimetry in flood forecasting: concept and implementation for the Niger-Benue River Basin
title_short The potential of satellite radar altimetry in flood forecasting: concept and implementation for the Niger-Benue River Basin
title_sort potential of satellite radar altimetry in flood forecasting concept and implementation for the niger benue river basin
topic satellite observation
radar
weather forecasting
floods
river basins
hydrology
models
water levels
flow discharge
case studies
url https://hdl.handle.net/10568/77533
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