Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prediction of streamflow based on the long-term response of streamflow to climatic factors in the source region of the Yellow River
Study region: The source region of the Yellow River (SRYE) is located in the eastern part of the Tibetan Plateau is a major water production and water conservation area for the Yellow River. Study focus: This study aims to investigate the correlations between streamflow and meteorological factors/ocean in the SRYE from 1960 to 2018 using wavelet analysis. The effects of meteorological factors/ocean signals on streamflow were calculated using the Partial Least Squares-Structural Equation Model (PLS-SEM). Furthermore, climate factors with strong correlation with streamflow were used as inputs to random forest (RF) and multiple linear regression (MLR) models to predict monthly streamflow. New hydrological insights: Meteorological factors showed stronger correlation with streamflow compared to ocean signals, explaining 79.3% of the streamflow variation and much higher than ocean signals (0.1%). Among the meteorological factors, precipitation had the largest direct effect on streamflow (P < 0.01), followed by potential evapotranspiration (P < 0.01), and snow depth (P > 0.05), which together explained 78% of the streamflow variability. Temperature and relative humidity are two important factors that indirectly influenced streamflow through potential evapotranspiration (P < 0.01). Finally, precipitation, relative humidity, and minimum temperature were chosen as streamflow predictors in the SRYE. The RF showed a better performance in predicting long-term monthly streamflow than the MLR under complex climate-hydrological system.
Prediction of streamflow based on the long-term response of streamflow to climatic factors in the source region of the Yellow River
Study region: The source region of the Yellow River (SRYE) is located in the eastern part of the Tibetan Plateau is a major water production and water conservation area for the Yellow River. Study focus: This study aims to investigate the correlations between streamflow and meteorological factors/ocean in the SRYE from 1960 to 2018 using wavelet analysis. The effects of meteorological factors/ocean signals on streamflow were calculated using the Partial Least Squares-Structural Equation Model (PLS-SEM). Furthermore, climate factors with strong correlation with streamflow were used as inputs to random forest (RF) and multiple linear regression (MLR) models to predict monthly streamflow. New hydrological insights: Meteorological factors showed stronger correlation with streamflow compared to ocean signals, explaining 79.3% of the streamflow variation and much higher than ocean signals (0.1%). Among the meteorological factors, precipitation had the largest direct effect on streamflow (P < 0.01), followed by potential evapotranspiration (P < 0.01), and snow depth (P > 0.05), which together explained 78% of the streamflow variability. Temperature and relative humidity are two important factors that indirectly influenced streamflow through potential evapotranspiration (P < 0.01). Finally, precipitation, relative humidity, and minimum temperature were chosen as streamflow predictors in the SRYE. The RF showed a better performance in predicting long-term monthly streamflow than the MLR under complex climate-hydrological system.
Prediction of streamflow based on the long-term response of streamflow to climatic factors in the source region of the Yellow River
Ruirui Xu (Autor:in) / Dexun Qiu (Autor:in) / Peng Gao (Autor:in) / Changxue Wu (Autor:in) / Xingmin Mu (Autor:in) / Muhammad Ismail (Autor:in)
2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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