Adaptive water management in the face of uncertainty: Integrating machine learning, groundwater modeling and robust decision making

Adaptive water management in the face of uncertainty: Integrating machine learning, groundwater modeling and robust decision making

This study examines climate change and water resources management challenges facing water suppliers in drought-prone regions and is particularly relevant to the American West, where agencies balance the management of imported and local water resources across multiple future uncertainties. We apply R...

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Bibliographic Details
Main Authors: Michelle E. Miro, David Groves, Bob Tincher, James Syme, Stephanie Tanverakul, David Catt
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Climate Risk Management
Subjects:
Water resources management
Climate change
Drought
Groundwater
Machine learning
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2212096321001121

Internet

http://www.sciencedirect.com/science/article/pii/S2212096321001121

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