Dam Safety
MGS performs hydrologic analyses for Dam Design and Dam Safety Analysis

  • 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


Project Examples

Stochastic Event Flood Model (SEFM)

U.S. Bureau of Reclamation Flood Hydrology Group, Denver CO

Created Stochastic Event Flood Model (SEFM), a stochastic watershed model for computation of flood-frequency relationships for flood peaks, runoff volumes and maximum reservoir levels.  This includes stochastic generation 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, and BC Hydro.

Example Reservoir Elevation-Frequency Curve Developed using SEFM.

SEFM was included in Mathematical Models of Small Watershed Hydrology and Applications
 Edited by Vijay P. Singh and Donald K. Frevert