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K.D. Medina

Publications and source records attributed to K.D. Medina.

5 recordsLinked to original sources

Floodflow characteristics at proposed bridge site for State Highway 99, Kansas River at Wamego, Kansas

The Kansas Department of Transportation has proposed replacing a bridge over the Kansas River on State Highway 99, at Wamego, Kansas. The ability of the main channel along with the existing agricultural levee to contain the flow of the Kansas River, the effect of overflow structures under the highway south of the bridge, and the effect of an island upstream from the proposed bridge are discussed. The design of the proposed new bridge is adequate for passage of a 100-yr flood of 155,000 cu ft/sec; however, the existing levee along the right bank of the river upstream of the proposed bridge will not confine the flow to the main channel because parts of the levee have been broken or removed. The present overflow structures would allow a discharge of 26,000 cu ft/sec to occur in the bypass reach with a maximum depth of flow over the highway of 1.3 ft. If the structures were removed but the highway grade maintained, the discharge would increase to about 30,000 cu ft/sec with a depth of flow over the highway of 1.5 ft. If the overflow structures were removed and the elevated sections of the highway grade leveled, the discharge would increase to about 31,500 cu ft/sec, with a maximum depth of flow over the highway of 1.3 ft. The velocity of flow through four 30-in diameter concrete culverts located at overflow structure sites would be 8.6 ft/sec. Foreseeable changes in the island upstream from the proposed bridge would not interfere with the flow capacity of the new bridge. (Author 's abstract)

Open-File Report

Analysis of surface-water data network in Kansas for effectiveness in providing regional streamflow information; with a section on theory and application of generalized least squares

This report documents the results of an analysis of the surface-water data network in Kansas for its effectiveness in providing regional streamflow information. The network was analyzed using generalized least squares regression. The correlation and time-sampling error of the streamflow characteristic are considered in the generalized least squares method. Unregulated medium-, low-, and high-flow characteristics were selected to be representative of the regional information that can be obtained from streamflow-gaging-station records for use in evaluating the effectiveness of continuing the present network stations, discontinuing some stations, and (or) adding new stations. The analysis used streamflow records for all currently operated stations that were not affected by regulation and for discontinued stations for which unregulated flow characteristics, as well as physical and climatic characteristics, were available. The State was divided into three network areas, western, northeastern, and southeastern Kansas, and analysis was made for the three streamflow characteristics in each area, using three planning horizons. The analysis showed that the maximum reduction of sampling mean-square error for each cost level could be obtained by adding new stations and discontinuing some current network stations. Large reductions in sampling mean-square error for low-flow information could be achieved in all three network areas, the reduction in western Kansas being the most dramatic. The addition of new stations would be most beneficial for mean-flow information in western Kansas. The reduction of sampling mean-square error for high-flow information would benefit most from the addition of new stations in western Kansas. Southeastern Kansas showed the smallest error reduction in high-flow information. A comparison among all three network areas indicated that funding resources could be most effectively used by discontinuing more stations in northeastern and southeastern Kansas and establishing more new stations in western Kansas.

Water Supply Paper

Analysis of surface-water data network in Kansas for effectiveness in providing regional streamflow information

The surface water data network in Kansas was analyzed using generalized least squares regression for its effectiveness in providing regional streamflow information. The correlation and time-sampling error of the streamflow characteristic are considered in the generalized least squares method. Unregulated medium-flow, low-flow and high-flow characteristics were selected to be representative of the regional information that can be obtained from streamflow gaging station records for use in evaluating the effectiveness of continuing the present network stations, discontinuing some stations; and/or adding new stations. The analysis used streamflow records for all currently operated stations that were not affected by regulation and discontinued stations for which unregulated flow characteristics, as well as physical and climatic characteristics, were available. The state was divided into three network areas, western, northeastern, and southeastern Kansas, and analysis was made for three streamflow characteristics in each area, using three planning horizons. The analysis showed that the maximum reduction of sampling mean square error for each cost level could be obtained by adding new stations and discontinuing some of the present network stations. Large reductions in sampling mean square error for low-flow information could be accomplished in all three network areas, with western Kansas having the most dramatic reduction. The addition of new stations would be most beneficial for man-flow information in western Kansas, and to lesser degrees in the other two areas. The reduction of sampling mean square error for high-flow information would benefit most from the addition of new stations in western Kansas, and the effect diminishes to lesser degrees in the other two areas. Southeastern Kansas showed the smallest error reduction in high-flow information. A comparison among all three network areas indicated that funding resources could be most effectively used by discontinuing more stations in northeastern and southeastern Kansas and establishing more new stations in western Kansas. (Author's abstract)

Kansas

Evaluation of the cost effectiveness of the 1983 stream-gaging program in Kansas

The results of an evaluation of the cost effectiveness of the 1983 stream-gaging program in Kansas are documented. Data uses and funding sources were identified for the 140 complete record streamflow-gaging stations operated in Kansas during 1983 with a budget of $793,780. As a result of the evaluation of the needs and uses of data from the stream-gaging program, it was found that the 140 gaging stations were needed to meet these data requirements. The average standard error of estimation of streamflow records was 20.8 percent, assuming the 1983 budget and operating schedule of 6-week interval visitations and based on 85 of the 140 stations. It was shown that this overall level of accuracy could be improved to 18.9 percent by altering the 1983 schedule of station visitations. A minimum budget of $760 ,000, with a corresponding average error of estimation of 24.9 percent, is required to operate the 1983 program. None of the stations investigated were suitable for the application of alternative methods for simulating discharge records. Improved instrumentation can have a very positive impact on streamflow uncertainties by decreasing lost record. (USGS)

Water-Resources Investigations Report

Water-data program of the US Geological Survey in Kansas, fiscal year 1983

The U.S. Geological Survey is the principal Federal agency responsible for the collection of hydrologic data needed for the planning, development, use, and management of the water resources in Kansas. Hydrologic-data collection by the U.S. Geological Survey in Kansas began in 1895. The fiscal-year 1983 water-data program, operated in cooperation with several Federal , State, and local agencies, included 270 stations for collection of river, lake, and reservoir data, 1,940 wells for collection of ground-water data; 53 sampling stations and 215 wells for collection of water-quality data. This report provides a detailed description of the water-data program, including coordination and funding, data-collection activities, quality-assurance plans, availability of data, network design, and future needs for water data. (USGS)

Water-Resources Investigations Report