Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Hydrology  /  Vol: 6 Par: 2 (2019)  /  Artículo
ARTÍCULO
TITULO

Incorporating Antecedent Soil Moisture into Streamflow Forecasting

Abdoul Oubeidillah    
Glenn Tootle and Thomas Piechota    

Resumen

This study incorporates antecedent (preceding) soil moisture into forecasting streamflow volumes within the North Platte River Basin, Colorado/Wyoming (USA). The incorporation of antecedent soil moisture accounts for infiltration and can improve streamflow predictions. Current Natural Resource Conservation Service (NRCS) forecasting methods are replicated, and a comparison is drawn between current NRCS forecasts and proposed forecasting methods using antecedent soil moisture. Current predictors used by the NRCS in regression-based streamflow forecasting include precipitation, streamflow persistence (previous season streamflow volume) and snow water equivalent (SWE) from SNOTEL (snow telemetry) sites. Proposed methods utilize antecedent soil moisture as a predictor variable in addition to the predictors noted above. A decision system was used to segregate data based on antecedent soil moisture conditions (e.g., dry, wet or normal). Principal Components Analysis and Stepwise Linear Regression were applied to generate streamflow forecasts, and numerous statistics were determined to measure forecast skill. The results show that when incorporating antecedent soil moisture, the ?poor? forecasts (i.e., years in which the NRCS forecast differed greatly from the observed value) were improved, while the overall forecast skill remains unchanged. The research presented shows the need to increase the monitoring and collection of soil moisture data in mountainous western U.S. watersheds, as this parameter results in improved forecast skill.

 Artículos similares

       
 
Mirka Mobilia and Antonia Longobardi    
Evapotranspiration is the major component of the water cycle, so a correct estimate of this variable is fundamental. The purpose of the present research is to assess the monthly scale accuracy of six meteorological data-based models in the prediction of ... ver más

 
Yue Zhai, Chuanhai Wang, Gang Chen, Chun Wang, Xiaoning Li and Yating Liu    
In the flat lowland agricultural areas of subtropical climate zones, the runoff process has a great influence on the regional water quantity and quality. In this study, field data about rainfall, evapotranspiration, soil moisture, groundwater table, and ... ver más
Revista: Water

 
Vladislav Ivanov, Diego Arosio, Greta Tresoldi, Azadeh Hojat, Luigi Zanzi, Monica Papini and Laura Longoni    
Shallow soil slips are a significant hydrogeological hazard which could affect extended areas of the high-gradient mountainous landscape. Their triggering is highly dependent on the rainfall water infiltration and its further redistribution, as well as t... ver más
Revista: Water

 
Chunying Wang, Songhao Shang, Dongdong Jia, Yuping Han, Sabine Sauvage, José-Miguel Sánchez-Pérez, Kanta Kuramochi and Ryusuke Hatano    
Based on statistical analysis, baseflow separation and wavelet analysis, this research was carried out in Shibetsu River Watershed (SRW), Eastern Hokkaido, Japan, to investigate the integrated effects of land use and topography on streamflow response to ... ver más
Revista: Water

 
Johannes Leimgruber, Gerald Krebs, David Camhy and Dirk Muschalla    
Low impact development (LID) strategies aim to mitigate the adverse impacts of urbanization, like the increase of runoff and the decrease of evapotranspiration. Hydrological simulation is a reasonable option to evaluate the LID performance with respect t... ver más
Revista: Water