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Development of ensemble approaches based on performance of statistical methods for daily streamflow estimation
Hydrological Sciences Journal ( IF 3.5 ) Pub Date : 2022-05-30 , DOI: 10.1080/02626667.2022.2072735
Mustafa Utku Yilmaz 1 , Bihrat Onoz 2
Affiliation  

ABSTRACT

This study presents an extension of an existing performance-based weighting system to combine statistical streamflow estimates for ungauged basins. Three statistical methods, namely the drainage area ratio (DAR) method, the standardization with mean (SM) method, and the inverse similarity weighting (ISW) method, have been applied to two sub-basins of the Euphrates basin in Turkey. To improve the effectiveness of the daily streamflow estimation in ungauged basins, ensemble approaches that combine the results of two or three statistical methods have been proposed based on a weighting system using various performance measures. The overall results demonstrate that the proposed ensemble approaches with the performance-based weighting system are beneficial to enhance the performance of the statistical methods in estimating daily streamflow at ungauged basins.



中文翻译:

基于日常流量估计统计方法性能的集成方法的开发

摘要

本研究提出了现有基于性能的加权系统的扩展,以结合未计量盆地的统计流量估计。流域面积比(DAR)法、均值标准化法(SM)法和逆相似加权法(ISW)三种统计方法已应用于土耳其幼发拉底河盆地的两个子流域。为了提高未计量流域每日流量估算的有效性,已经提出了基于使用各种性能度量的加权系统,结合了两种或三种统计方法的结果的集成方法。

更新日期:2022-05-30
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