Development of ensemble approaches based on performance of statistical methods for daily streamflow estimation


YILMAZ M. U. , Önöz B.

HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, vol.67, pp.1199-1215, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 67
  • Publication Date: 2022
  • Doi Number: 10.1080/02626667.2022.2072735
  • Journal Name: HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, IBZ Online, PASCAL, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Compendex, Geobase, INSPEC, Pollution Abstracts, Civil Engineering Abstracts
  • Page Numbers: pp.1199-1215
  • Keywords: daily streamflow estimation, drainage area ratio, ensemble approaches, Euphrates basin, performance-based weighting, ungauged basins, UNGAUGED BASINS, PREDICTION, CATCHMENTS
  • Istanbul Technical University Affiliated: Yes

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.