Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Integrated forecasting of monthly runoff considering the combined effects of teleconnection factors
Study region: The Danjiangkou Reservoir, China Study focus: Teleconnection factors significantly influence long-term runoff forecasting. Existing methods primarily focus on the overall impact of these factors on runoff, often neglecting the consideration of extreme values to some degree. Additionally, the interaction among different teleconnection factors can influence runoff forecasting results, which can be defined as the combined effects of these teleconnection factors. This study examines the combined effects of teleconnection factors on the differences in global and extreme runoff forecasting performance and proposes a parallel forecasting strategy to further improve long-term runoff forecasting accuracy. New Hydrological Insights for the Region: The research results indicate that the proposed model in this study demonstrates exceptional performance, with the Nash-Sutcliffe Efficiency (NSE) improving by 4.1 % and the Root Mean Square Error (RMSE) decreasing by 6.1 % compared to the model that does not consider the combined effects of teleconnection factors. Notably, the forecasts exhibit significant enhancements in predicting extreme runoff values. Furthermore, the combined effects of the Solar Flux Index, the North American Polar Vortex Intensity Index, and the Western Pacific Subtropical High Intensity Index may be a crucial cause of extreme runoff in the Danjiangkou Reservoir. The findings of this study can provide valuable insights for long-term predictions.
Integrated forecasting of monthly runoff considering the combined effects of teleconnection factors
Study region: The Danjiangkou Reservoir, China Study focus: Teleconnection factors significantly influence long-term runoff forecasting. Existing methods primarily focus on the overall impact of these factors on runoff, often neglecting the consideration of extreme values to some degree. Additionally, the interaction among different teleconnection factors can influence runoff forecasting results, which can be defined as the combined effects of these teleconnection factors. This study examines the combined effects of teleconnection factors on the differences in global and extreme runoff forecasting performance and proposes a parallel forecasting strategy to further improve long-term runoff forecasting accuracy. New Hydrological Insights for the Region: The research results indicate that the proposed model in this study demonstrates exceptional performance, with the Nash-Sutcliffe Efficiency (NSE) improving by 4.1 % and the Root Mean Square Error (RMSE) decreasing by 6.1 % compared to the model that does not consider the combined effects of teleconnection factors. Notably, the forecasts exhibit significant enhancements in predicting extreme runoff values. Furthermore, the combined effects of the Solar Flux Index, the North American Polar Vortex Intensity Index, and the Western Pacific Subtropical High Intensity Index may be a crucial cause of extreme runoff in the Danjiangkou Reservoir. The findings of this study can provide valuable insights for long-term predictions.
Integrated forecasting of monthly runoff considering the combined effects of teleconnection factors
Jianbo Chang (Autor:in) / Baowei Yan (Autor:in) / Mingbo Sun (Autor:in) / Donglin Gu (Autor:in) / Xuerui Zhou (Autor:in)
2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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