Heuristic knowledge-based tool for rainfall synthesis, runoff estimation and hydrograph generation
1995
Yoon, J. | Patmanābhan, Ji
Knowledge-based engineering has emerged as a potential technique for incorporating human expertise and some degree of intelligent judgment into decision-supporting procedures. A knowledge-based expert system (KBES) methodology to estimate the volume and hydrograph of direct surface runoff from rain events using the Soil Conservation Service Runoff Curve Number method was developed for hydrologic modeling and decision support systems. The KBES approach was designed to determine runoff curve numbers with limited available information on watershed characteristics, to generate rainfall intensity of the geographic location for desired durations and return periods, and to use the curve number and rainfall intensity estimates to calculate runoff volume, peak runoff and time-to-peak for design purposes. Rainfall intensity estimation is based on four regional partial-duration series parameters corresponding to a given geographic location. Currently, a regional parameter database for 12 midwestern states (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin) is compiled into the KBES for the rainfall synthesis.
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