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- W2379968954 abstract "Radar rainfall is an alternative input data to a rainfall-runoff model and potentially can improve the accuracy in runoff estimates. This study used daily gage rainfall (DGR) and 3 types of radar rainfall as the input data to the selected rainfall-runoff model (URBS) to find out the most appropriate rainfall dataset for the most accurate runoff hydrographs at 4 runoff stations in the upper Ping river basin, Northern Thailand. The DGR was approximated for each sub-catchment using the Thiessen polygon technique. The calibrated daily Z-R relationship for the Omkoi radar (Z=74R) and the mean field bias correction technique were applied to calculate the daily radar rainfall (DRR). The hourly radar rainfall (HRR) was estimated using the update daily Z-R relationship which was changed daily depending upon the mean field bias values. The scaling transformation equation ( 24 055 . 0 ) 24 / ( A t At − = ) was applied to update the daily Z-R relationship for an" @default.
- W2379968954 created "2016-06-24" @default.
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- W2379968954 date "2009-01-01" @default.
- W2379968954 modified "2023-09-27" @default.
- W2379968954 title "Runoff estimation using radar and rain gage data" @default.
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