Journal ArticleDOI
Models for extending streamflow data : a case study
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TLDR
In this article, the authors proposed models to extend the monthly streamflow data at a site where the available historic rainfall and stream flow data are too short for adequate systems study, subject to the condition that there are no gauging sites in the basin or adjacent basins with a longer period of streamflow.Abstract:
Models are proposed to extend the monthly streamflow data at a site where the available historic rainfall and streamflow data are too short for adequate systems study, subject to the condition that there are no gauging sites in the basin or adjacent basins with a longer period of streamflow data. Hence rainfall data of a nearby raingauge station are used. Five regression models, namely, runoff coefficient model, single linear regression, monthly linear regression, monthly linear regression with stochastic description for residuals, and a double regressed model are used. The results show that the monthly linear regression model with stochastic description for the residuals is best suited for the purpose when applied to a case study.read more
Citations
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Journal ArticleDOI
Reconstruction of missing daily streamflow data using dynamic regression models
Patricia Tencaliec,Patricia Tencaliec,Patricia Tencaliec,Anne-Catherine Favre,Anne-Catherine Favre,Clémentine Prieur,Clémentine Prieur,Clémentine Prieur,Thibault Mathevet +8 more
TL;DR: This paper introduces an effective technique for reconstructing missing daily discharge data when one has access to only daily streamflow data using a combination of regression and autoregressive integrated moving average models (ARIMA) called dynamic regression model.
Journal ArticleDOI
Intermittent reservoir daily-inflow prediction using lumped and distributed data multi-linear regression models
TL;DR: In this article, multi-linear regression (MLR) approach is used to construct intermittent reservoir daily inflow forecasting system and the results are also compared with autoregressive integrated moving average (ARIMA) models.
Journal ArticleDOI
Mathematical models in hydrology
TL;DR: The author outlines the main modeling techniques in hydrology and discusses the Saint-Venant model, the "black box'' approach, the Kalinin-Niljukov model, and some more heuristically formulated approaches.
Journal ArticleDOI
Evaluation of monthly runoff estimated by a rainfall-runoff regression model for reservoir yield assessment
N R Nawaz,Adebayo J. Adeloye +1 more
TL;DR: In this article, the results of further evaluation tests of a monthly rainfall runoff model used for extending streamflow data records in England and Wales are presented, since the objective of the record extension exercise was to make available long enough data records for reservoir yield assessment, model performance in reproducing the reservoir storage-yield-reliability relationship during calibration was examined.
Proceedings ArticleDOI
Developing best practice for infilling daily river flow data
TL;DR: In this article, the authors present an appraisal of various simple infilling techniques, including multiple regression, scaling and equipercentile analysis, according to their ability to generate daily flow estimates for 25 representative UK gauging stations.
References
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