tailieunhanh - Báo cáo " Calibration and verification of a hydrological model using event data "

The topic of calibration and verification of rainfall-runoff model has been subject of many researches. However, most of the researches using the continuous data for this task, while in the conditions of Vietnam, it is difficult to collect the sub-day continuous data. This leads to the need for methods that can calibrate and verify the model parameters from the event data. This paper introduces such a method. Idea of the method is to combine the auto-calibration and trialand-error methods. Auto-calibration is executed to locate the optima sets of parameters for individual storm event by using the shuffled complex evolution. | VNU Journal of Science Earth Sciences 26 2010 64-74 Calibration and verification of a hydrological model using event data Nguyen Tien Giang Tran Anh Phuong Hanoi University of Science VNU 334 Nguyen Trai Hanoi Vietnam Received 05 September 2010 received in revised form 24 September 2010 Abstract. The topic of calibration and verification of rainfall-runoff model has been subject of many researches. However most of the researches using the continuous data for this task while in the conditions of Vietnam it is difficult to collect the sub-day continuous data. This leads to the need for methods that can calibrate and verify the model parameters from the event data. This paper introduces such a method. Idea of the method is to combine the auto-calibration and trial-and-error methods. Auto-calibration is executed to locate the optima sets of parameters for individual storm event by using the shuffled complex evolution algorithm. Then the trial-and-error method will attempt to find the most suitable parameters for all of the events in the ranges defined by the parameters in the auto-calibration step. The method was applied to calibrate and verify MIKE-NAM model parameters with the case study of Ben Hai river basin. Because the searching space of parameters is narrowed it is much easier and quick to find the best overall parameters than the traditional trial-and-error method. Keywords Rainfall-runoff event data auto- calibration trial-and-error searching space. 1. Introduction Rainfall-runoff models are particularly effective tools to predict the responses of a basin with a given amount of rainfall. They therefore can be used for many purposes like flood forecast planning design operation and management of the water resources systems. However before applying them for these purposes the models need to be calibrated and verified to ensure that they are accurate and persistent. The topic of parameter calibration and validation has been the subject of many discussions. .