Time parameters which are most frequently used in hydrology are the time of concentration, lag time, time base, time to equilibrium, time to peak, time of travel, and residence time. Especially the time of concentration Tc is the most frequently used in the time parameter. Like other parameters it i...
Time parameters which are most frequently used in hydrology are the time of concentration, lag time, time base, time to equilibrium, time to peak, time of travel, and residence time. Especially the time of concentration Tc is the most frequently used in the time parameter. Like other parameters it is usually defined in term of either the physical characteristic of a watershed or the effective rainfall hyetograph and direct runoff hydrograph. Thus the time of concentration is an important parameter in operating rainfall-runoff modeling and determining critical rainfall intensity. A lot of books introduced the time of concentration, but they were described as various forms of formulas and there are little time of concentration formulas applied to our basin characteristics systematically. In the result, there are a little problem to make excessive or too small estimation as using foreign formulas indiscreetly. To solve these problems, 1. We standardized formulas by comparing them introduced to many books in the inside and outside of the country. 2. Standardized formulas were analyzed by Tc to be simulated according to the length, height and slope. 3. We studied relative sensitivity for each formula converted sever parameters by Taylor series. 4. Time of concentration was estimated to derive applied limits for 3 watersheds by standardized formulas. In the case of input parameters analysis, SCS formula has the highest value by the length, Kerby by the height and SCS by the slope respectively, while Kraven formula has the lowest value among them. Out of input parameters, the length is the most effective to time of concentration. Concerning the relative sensitivity by Taylor series, the time of concentration showed the constant effect while increasing of the length and slope, and the length was more sensitive than the slope in parameters. Thus it could be suggested that time of concentration be estimated by dividing the length into several section rather than the height. Finally the standardization formula developed in this study was applied to derive applied limits for 3 watersheds(total 17 subbasins). In this case, Rziha(8 subbasins) and SCS(9 subbasins) formulas were the most similar to observed data of total 17 subbasins respectively. We determined that applied limits were derived from about 300∼500㎢ area, 30∼60㎞ length and under 0.01 slope for Rziha formula and about 100∼200㎢ area, 10∼30㎞ length, and over 0.01 slope for SCS formula respectively.
Time parameters which are most frequently used in hydrology are the time of concentration, lag time, time base, time to equilibrium, time to peak, time of travel, and residence time. Especially the time of concentration Tc is the most frequently used in the time parameter. Like other parameters it is usually defined in term of either the physical characteristic of a watershed or the effective rainfall hyetograph and direct runoff hydrograph. Thus the time of concentration is an important parameter in operating rainfall-runoff modeling and determining critical rainfall intensity. A lot of books introduced the time of concentration, but they were described as various forms of formulas and there are little time of concentration formulas applied to our basin characteristics systematically. In the result, there are a little problem to make excessive or too small estimation as using foreign formulas indiscreetly. To solve these problems, 1. We standardized formulas by comparing them introduced to many books in the inside and outside of the country. 2. Standardized formulas were analyzed by Tc to be simulated according to the length, height and slope. 3. We studied relative sensitivity for each formula converted sever parameters by Taylor series. 4. Time of concentration was estimated to derive applied limits for 3 watersheds by standardized formulas. In the case of input parameters analysis, SCS formula has the highest value by the length, Kerby by the height and SCS by the slope respectively, while Kraven formula has the lowest value among them. Out of input parameters, the length is the most effective to time of concentration. Concerning the relative sensitivity by Taylor series, the time of concentration showed the constant effect while increasing of the length and slope, and the length was more sensitive than the slope in parameters. Thus it could be suggested that time of concentration be estimated by dividing the length into several section rather than the height. Finally the standardization formula developed in this study was applied to derive applied limits for 3 watersheds(total 17 subbasins). In this case, Rziha(8 subbasins) and SCS(9 subbasins) formulas were the most similar to observed data of total 17 subbasins respectively. We determined that applied limits were derived from about 300∼500㎢ area, 30∼60㎞ length and under 0.01 slope for Rziha formula and about 100∼200㎢ area, 10∼30㎞ length, and over 0.01 slope for SCS formula respectively.
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