APPLICATION OF KALMAN FILTERING TO RIVER FLOW FORECASTING.

Eric F. Wood

APPLICATION OF KALMAN FILTERING TO RIVER FLOW FORECASTING.

Eric F. Wood

Research output: Contribution to conference › Paper › peer-review

Abstract

The need of forecasting river flows arises whenever a river authority must make controls to maintain prespecified flows at various points along a river reach. A linear, time invariant model for flow routing was developed for a river having both gaged and ungaged tributary inflows. The resulting model was incorporated within a Kalman filter and applied to the River Dee in Wales. The structure allowed the tributaries to be considered as either known inputs or estimated based upon a forecasting model for each subcatchment. Refs.

Original language	English (US)
Pages	385-407
Number of pages	23
State	Published - 1978
Event	Appl of Kalman Filter to Hydrol, Hydraul, and Water Resour, Proc of AGU (Am Geophys Union) Chapman Conf - Pittsburgh, PA, USA Duration: May 22 1978 → May 24 1978

Other

Other	Appl of Kalman Filter to Hydrol, Hydraul, and Water Resour, Proc of AGU (Am Geophys Union) Chapman Conf
City	Pittsburgh, PA, USA
Period	5/22/78 → 5/24/78

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

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abstract = "The need of forecasting river flows arises whenever a river authority must make controls to maintain prespecified flows at various points along a river reach. A linear, time invariant model for flow routing was developed for a river having both gaged and ungaged tributary inflows. The resulting model was incorporated within a Kalman filter and applied to the River Dee in Wales. The structure allowed the tributaries to be considered as either known inputs or estimated based upon a forecasting model for each subcatchment. Refs.",

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year = "1978",

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AB - The need of forecasting river flows arises whenever a river authority must make controls to maintain prespecified flows at various points along a river reach. A linear, time invariant model for flow routing was developed for a river having both gaged and ungaged tributary inflows. The resulting model was incorporated within a Kalman filter and applied to the River Dee in Wales. The structure allowed the tributaries to be considered as either known inputs or estimated based upon a forecasting model for each subcatchment. Refs.

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T2 - Appl of Kalman Filter to Hydrol, Hydraul, and Water Resour, Proc of AGU (Am Geophys Union) Chapman Conf

Y2 - 22 May 1978 through 24 May 1978

ER -

APPLICATION OF KALMAN FILTERING TO RIVER FLOW FORECASTING.

Abstract

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All Science Journal Classification (ASJC) codes

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