Short-term Extreme Flow Forecasting in an Tropical Andean Mountain Catchment—Development of a Step-Wise Methodology Based on the Random Forest Algorithm.

Abstract:

Flash-flood and drought forecasting has emerged worldwide due to the catastrophic socio-economical impacts these hazards might cause and the expected increase of their frequencies in the future. In mountainous areas, drought and flash-flood forecasting is challenging considering that information other than precipitation and discharge is not commonly available due to budget constraints, remoteness of the study areas and more importantly due to extreme spatio-temporal variability of precipitation. This is especially true for the tropical Andes in South America, which is the longest and widest cool region in the tropics yet its snowline is present from altitudes higher than 5800 meters above the sea level. Consequently, a simple, although useful, approach is the development of precipitation-runoff forecasting models. While process-based models are hard to implement, there is a potential to use machione learnin …

Año de publicación:

2019

Keywords:

Fuente:

google