Watershed Management is critical in ensuring sustainable water resources, ecosystem health and resilience to climate change. As global challenges such as climate change, population growth, and increasing water scarcity put significant pressure on our natural resources, effective management of watersheds has become even more important. Some of the traditional watershed management approaches include manual data collection, data processing, hydrological and hydraulic modeling, water quality modeling, and empirical decision-making. The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies offers transformative potential for enhancing watershed management practices. With the advancement of computing power, data storage, and availability of vast amounts of environmental data, the application of AI/ML for watershed management has become an easier task. From predicting flood events to optimizing land-use planning and water quality monitoring, AI and ML have the potential to enhance the efficiency, effectiveness, and sustainability of watershed management efforts.
During this webinar, we will explore the key concepts of AI and ML, investigate their applications within watershed management, and discuss practical examples of how these technologies are being utilized worldwide. It will provide insight into how to harness the power of AI/ML to deal with ever-increasing challenges in watershed management and to help to build resilient and sustainable watershed systems. The webinar will be equally useful for water resource managers, environmental scientists, policy makers, and technologists.
By the end of the webinar, participants will take the first steps toward the necessary knowledge and skills to incorporate AI/ML techniques into their watershed management efforts, enabling them to make informed data-driven decisions and better address the evolving challenges in water resource and ecosystem management.
Presenters:
- Don Blancher, Moffatt & Nichol
- Bill Katzenmeyer, Fenstermaker
- Haruko Wainwright, Massachusetts Institute of Technology
- Ruijie Zeng, Arizona State University
- Tad Slawecki, LimnoTech (moderator)
PDH Credits will be available for attendees following this event on this platform. Please look for further information to come.