Optimizing Parameters for Two Conceptual Hydrological Models Using a Genetic Algorithm: A Case Study in the Dau Tieng River Watershed, Vietnam
ISSN | 00213551 |
---|---|
書誌レコードID(総合目録DB) | AA0068709X |
In recent years, many conceptual hydrological models have been constructed to calculate rainfall runoff for river watersheds, two of which, the Tank Model and the NAM Model, have been widely used in many Asian countries to forecast flooding and manage water resources because of their simplicity. However, obtaining good results can be time-consuming and costly because multiple model parameters must be calibrated. This requirement has led to an increased need for automated calibration. In this study, the two hydrological models had a genetic algorithm (GA) incorporated to model the rainfall runoff process and optimize model parameters. Calibration data were obtained at hydrological gauges of the river system upstream of the Dau Tieng River watershed, located along the upper Saigon River in Southeastern Vietnam. The GA optimization in this study concurrently adjusted eighteen of the Tank Model parameters and ten NAM Model parameters to improve modeling efficiency. The study concluded that both models showed good correlation between simulated and observed flows, with increased accuracy and convenience. The Tank Model produced better simulation results through error indicators such as root mean square error, efficiency, and relative error.
刊行年月日 | |
---|---|
作成者 | NGOC Trieu Anh HIRAMATSU Kazuaki HARADA Masayoshi |
著者キーワード |
NAM Model Rainfall runoff river watershed Tank Model |
公開者 | Japan International Research Center for Agricultural Sciences |
オンライン掲載日 | |
国立情報学研究所メタデータ主題語彙集(資源タイプ) | Journal Article |
巻 | 47 |
号 | 1 |
開始ページ | 85 |
終了ページ | 96 |
DOI | 10.6090/jarq.47.85 |
権利 | Japan International Research Center for Agricultural Sciences |
言語 | eng |