Stocastic Event Flood Model for Hydrologic Risk Analysis
MGS Engineering Consultants Specializes in hydrologic analyses for Dam Design, Dam Safety, and Hydrologic Risk Assessments
• Stochastic Flood Modeling for Hydrologic Risk Assessment
• PMP/PMF Studies
• Precipitation Magnitude-Frequency Studies for Spillway Design Modeling
• Monte-Carlo Simulation Methods for Quantifying Hydrologic Uncertainty
SEFM is a Stochastic Processor that can be Adapted to Many Hydrolgoic Models Currently in Use today Including:
Example: Application of SEFM to Folsom Dam on the American River California
SEFM allows for the stochastic generation floods by monte-carlo sampling of all hydrometeorological inputs including temporal and spatial distribution of precipitation over the watershed; allocation of snowpack; temporal patterns of air temperatures and freezing levels for snowmelt computation; antecedent streamflows; and initial reservoir levels. Model capabilities include: distributed rainfall-runoff modeling; computation of snowmelt using snow compaction procedure; distributed soil moisture accounting; simulation of surface runoff and interflow responses; and simulation of reservoir rule-curves. Flood-frequency outputs from this computer model have been used in conducting hydrologic risk analyses for dams owned and operated by the USBR, Corps of Engineers, BC Hydro, Puget Sound Engergy, and Southern California Edison.
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Stochastic Event Flood Model (SEFM)
Example Reservoir Elevation Magnitude-Frequency Curve Developed Using SEFM
SEFM was featured in Mathematical Models of Small Watershed Hydrology and Applications
Edited by Vijay P. Singh and Donald K. Frevert
