Chapter
Apr 26, 2012
How Reservoirs Were Operated — Exploring the Role of Hydrologic Information
Authors: Mohamad I. Hejazi contact: [email protected], Ximing Cai contact: [email protected], and Benjamin L. Ruddell contact: [email protected]Author Affiliations
Publication: World Environmental and Water Resources Congress 2008: Ahupua'A
Abstract
Closing the gap between theoretical reservoir operation and the real-world implementation remains a challenge in contemporary reservoir operations. Reservoirs generally operate sub-optimally due to the difficulty of determining and implementing optimal rules for operation. Since the classic work of Young (1967), research has focused on optimization algorithms. In this study, we take on a novel direction by investigating historical release data from 79 reservoirs in California and the Great Plains, using a data-mining approach to explain operators' release decisions. We use information theory — specifically, mutual information— to measure the quality of inference between a set of classic indicators and observed releases at the monthly and weekly timescales. Several general trends are found to explain which sources of hydrologic information dictate reservoir release decisions under different conditions.
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© 2008 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Analysis (by type)
- Business management
- Decision making
- Decision support systems
- Engineering fundamentals
- Hydraulic engineering
- Hydraulic structures
- Hydrologic engineering
- Hydrology
- Information management
- Management methods
- Mathematics
- Practice and Profession
- Quality control
- Reservoirs
- River engineering
- River systems
- System analysis
- Water and water resources
- Watersheds
Authors
Affiliations
Ven-Te Chow Hydrosystems Laboratory, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign. E-mail: contact: [email protected]
Ven-Te Chow Hydrosystems Laboratory, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign. E-mail: contact: [email protected]
Ven-Te Chow Hydrosystems Laboratory, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign. E-mail: contact: [email protected]
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