Author(s): Eun-Sung Chung
Linked Author(s):
Keywords: Component Sensitivity Analysis; Non-flood Total Flow; Climate; Groundwater Withdrawal; Landuse; Otumulgyo (bridge); Multiple Regression Analysis; SWAT
Abstract: The dry-weather streamflow is closely related with rise and decline of groundwater table, which depends on climate, groundwater withdrawal and landuse changes. Therefore, the effect of variation in the input (I) on the output (Q) was measured by component sensitivity analysis. Sensitivity analyses of climate data show that the total precipitation during the non- flood period (9/21~6/20) is the most influential to the non-flood runoff and the daily solar radiation is the second among climate data. Also, the groundwater withdrawal is very sensitive and so the non-flood runoff ratio to that is about 0. 6. But, the landuse changes isn`t relatively critical to the non-flood total flow of the forest watershed in Korea. Therefore, the more effective alternative to secure the instream requirement during non-flood period is to regulate the groundwater pumping rather than the landuse in this study watershed. As a consequence of this study, the formula which can calculate the total flow during the non-flood period at the Otumulgyo (bridge) was proposed using the multiple regression analysis. These simulations were conducted by SWAT.
Year: 2005