Synthetic Hydrologic Information - A Case Study

by Krishan P. Singh, (M.ASCE), Principal Scientist; Illinois State Water Survey, Urbana, Ill.,


Serial Information: Journal of the Hydraulics Division, 1979, Vol. 105, Issue 10, Pg. 1257-1275


Document Type: Journal Paper

Abstract: Methodologies are developed for generating synthetic hydrologic information in respect to weekly flows, precipitation on and evaporation from the lake surfaces, and navigation flow requirements to investigate: 1) the range of response with the optimal joint operation (derived with the historical data) of the Shelbyville and Carlyle Lakes in Illinois and 2) any desirable improvements in operation. A two-distribution model is shown to be better than the Pearson or normal distribution model for generating monthly streamflows. A method for filtering outliers is predicated on the basis of hydrometeorology and rainfall-runoff phenomenon. A disaggregation procedure is formulated for converting monthly flows to weekly flows. Markov models are used successfully in generating monthly precipitation on and evaporation from the lake surfaces. The weekly navigation-flow requirements are simulated by a third-order Markov chain.

Subject Headings: Case studies | Hydrology | Information management | Hydrologic models | Lakes | Evaporation | Precipitation | Markov process | Overland flow | Navigation (waterway) | North America | Illinois | United States

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