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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

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SEFM is a Stochastic Processor that can be Adapted to Many Hydrologic Models Currently in Use today Including:

 

SEFM Overview

SEFM and PMF Approach Comparison

Application of SEFM to Folsom Dam on the American River California

January 2013, NRC Workshop Reports

 

 

 

 

 

Stochastic Event Flood Model (SEFM)

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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

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