Enhancing runoff forecasting through the integration of satellite precipitation data and hydrological knowledge into machine learning models
In this study, we use feature engineering (FE) strategies to enhance the performance of
machine learning (ML) models in forecasting runoff and peak runoff. We selected a 300-km …
machine learning (ML) models in forecasting runoff and peak runoff. We selected a 300-km …
[HTML][HTML] Towards a Modern and Sustainable Sediment Management Plan in Mountain Catchment
A Cislaghi, E Morlotti, VG Sacchetti, D Bellingeri… - GeoHazards, 2024 - mdpi.com
Sediment management is fundamental for managing mountain watercourses and their
upslope catchment. A multidisciplinary approach—not limited to the discipline of hydraulics …
upslope catchment. A multidisciplinary approach—not limited to the discipline of hydraulics …
Hydrogeological mapping of fracture networks using earth observation data to improve rainfall–runoff modeling in arid mountains, Saudi Arabia
Rainfall–runoff modeling is essential for the hydrological analysis of basins; however, the
traditional modeling approach does not incorporate geological features such as fractures …
traditional modeling approach does not incorporate geological features such as fractures …
Unleashing the power of AI: revolutionizing runoff prediction beyond NRCS-CN method
Predicting runoff is vital for effectively planning and managing water resources within a
watershed or river basin. This research aims to compare the effectiveness of two distinct …
watershed or river basin. This research aims to compare the effectiveness of two distinct …