|Neilsen, Mitchell - KANSAS STATE UNIV|
|Wibowo, Johannes - US ARMY CORPS OF ENGR|
Submitted to: Workshop Proceedings
Publication Type: Proceedings
Publication Acceptance Date: November 22, 2004
Publication Date: November 22, 2004
Citation: Neilsen, M.L., Temple, D.M., Wibowo, J.L. 2004. A distributed hydrologic simulation environment with latin hypercube sampling. In: Proceedings of the IASTED International Conference on Environmental Modelling and Simulation (EMS 2004), November 2004, St. Thomas, U.S. Virgin Islands. p. 117-122. Interpretive Summary: Many dams in the United States and around the world use earth spillways to pass unusually large floods around the dam and prevent the dam from becoming overtopped and possibly sustaining damage. Recent technical advances in the area of erosion processes have led to the development of an improved mathematical model for predicting the performance of these spillways. The initial work was focused on the prediction of possible breach of spillways of the type used by USDA on watershed flood control reservoirs. The work described in this report extends the capability of that mathematical model by adding flexibility and adding a statistical component making the resulting predictive tool more useful for risk analysis studies appropriately carried out for dams where the consequences of failure require more detailed examination.
Technical Abstract: The United States Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) Water Resource Site Analysis Software (SITES) is an event-oriented model for hydrologic and hydraulic analysis of water control structures (sites). The spillway analysis module has been extracted from SITES to make it easier to use with other reach routing software; e.g., HEC-RAS, TR-20, etc. In addition, this module has been extended to support probabilistic sampling of key hydraulic and material parameters for sensitivity analysis. In this paper, we describe the design of this new hydrologic simulation environment called Sites Spillway Erosion Analysis with Latin Hypercube Sampling (SSEA+LHS).