Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy
A large fraction of major waterways have dams influencing streamflow, which must be
accounted for in large-scale hydrologic modeling. However, daily streamflow prediction for …
accounted for in large-scale hydrologic modeling. However, daily streamflow prediction for …
Time series predictions in unmonitored sites: A survey of machine learning techniques in water resources
Prediction of dynamic environmental variables in unmonitored sites remains a long-standing
challenge for water resources science. The majority of the world's freshwater resources have …
challenge for water resources science. The majority of the world's freshwater resources have …
Machine Learning Techniques for Time Series Regression in Unmonitored Environmental Systems
JD Willard - 2023 - search.proquest.com
This thesis provides a computer science audience with a review of machine learning
techniques for modeling time series in unmonitored environmental systems with no …
techniques for modeling time series in unmonitored environmental systems with no …