Case Studies
Sep 29, 2012

Impact of Artificial Reservoir Size and Land Use/Land Cover Patterns on Probable Maximum Precipitation and Flood: Case of Folsom Dam on the American River

Publication: Journal of Hydrologic Engineering
Volume 18, Issue 9

Abstract

The design of the dams usually considers available historical data for analysis of the flood frequency. The limitation of this approach is the potential shift in flood frequency due to physically plausible factors that cannot be foreseen during design. For example, future flood extremes may change, among other factors, due to strong local atmospheric feedbacks from the reservoir and surrounding land use and land cover (LULC). Probable maximum flood (PMF), which is the key design parameter for hydraulic features of a dam, is estimated from probable maximum precipitation (PMP) and the hydrology of the watershed. Given the nonlinearity of the rainfall-runoff process, a key question that needs to be answered is How do reservoir size and/or LULC modify extreme flood patterns, specifically probable maximum flood via climatic modification of PMP? Using the American River Watershed (ARW) as a representative example of an impounded watershed with a large artificial reservoir (i.e., Folsom Dam), this study applied the distributed variable infiltration capacity (VIC) model to simulate the PMF from the atmospheric feedbacks simulated for various LULC scenarios (predam, current scenario, nonirrigation, and reservoir-double). The atmospheric feedbacks were simulated numerically as PMP using the regional atmospheric modeling system (RAMS). The RAMS-generated PMP scenarios were propagated through the VIC model to simulate the PMFs. Comparison of PMF results for predam and current scenario conditions showed that PMF peak flow can decrease by about 105m3/s, while comparison of current scenario with nonirrigation PMF results showed that irrigation development has increased the PMF by 125m3/s. On the other hand, the reservoir size had virtually no detectable impact on PMP and consequently on PMF results. Where downstream levee capacity is already underdesigned to handle a dam’s spillway capacity, such as for the case study, such increases indicate a likely impact on downstream flood risk to which any flood management protocol must adapt. The premise that modern dam design and operations should consider an integrated atmospheric-hydrologic modeling approach for estimating proactively potential extreme precipitation variation due to dam-driven LULC change is well-supported by this case study.

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Acknowledgments

The first author was supported partially by the Center of Management Utilization and Protection of Water Resources and the Office of Research at Tennessee Technological University (TTU). All authors acknowledge the support and guidance received from the Surface Water Modeling group of University of Washington in setting up the VIC-3L model. Although opinions expressed belong strictly to authors and do not represent any particular agency, this study benefitted from discussions held with staff from Folsom Dam (USBR) and the Sacramento Area Flood Control Agency (SAFCA) at various times.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 18Issue 9September 2013
Pages: 1180 - 1190

History

Received: Jan 26, 2012
Accepted: Sep 26, 2012
Published online: Sep 29, 2012
Discussion open until: Feb 28, 2013
Published in print: Sep 1, 2013

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Authors

Affiliations

Wondmagegn Yigzaw
S.M.ASCE
Graduate Student, Dept. of Civil and Environmental Engineering, Tennessee Technological Univ., Cookeville, TN 38505-0001.
Faisal Hossain [email protected]
A.M.ASCE
Associate Professor, Dept. of Civil and Environmental Engineering, Tennessee Technological Univ., Cookeville, TN 38505-0001 (corresponding author). E-mail: [email protected]
Alfred Kalyanapu
A.M.ASCE
Assistant Professor, Dept. of Civil and Environmental Engineering, Tennessee Technological Univ., Cookeville, TN 38505-0001.

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