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  • 标题:Selecting the Best Set Value in Calibration Process for Validation of Hydrological Modeling (A Case Study on Kayu Ara River Basin, Malaysia)
  • 本地全文:下载
  • 作者:Sina Alaghmand ; Rozi bin Abdullah ; Ismail Abustan
  • 期刊名称:Research Journal of Environmental Sciences
  • 印刷版ISSN:1819-3412
  • 电子版ISSN:2152-8238
  • 出版年度:2011
  • 卷号:5
  • 期号:4
  • 页码:354-365
  • DOI:10.3923/rjes.2011.354.365
  • 出版社:Academic Journals Inc., USA
  • 摘要:This study describes a part of results of river flood risk modeling for Sungai Kayu Ara river basin which was conducted between January 2007 and January 2009 in which HEC-HMS3.1.0 was applied as hydrological model. The main aim of this study was evaluation of different sets of calibrated data to validate the hydrological model. In this regard, Nix method was utilized to establish and evaluate the credibility of the hydrological model. Kayu Ara river basin is located in Kuala-Lumpur, Malaysia and geographically surrounded within N 3° 6′ to N 3° 11′ and E 101° 35′ to E 101° 39′. After conducting of sensitivity analysis for HEC-HMS3.1, calibration process led to range of values for each parameter, in other words, it is possible to have different values for each parameter during calibration, even very near to each other; it makes a range of value. In this research, calibrated parameters were as follows; imperviousness, lag time and peaking flow coefficient. For selecting the best set among these values, average, median and mode were evaluated. The simulations were performed with 18 validation rainfall events re-ran according to average, median and mode values. Goodness-of-fit of results was compared according to the coefficient of determination R2 of the simulation and observed stream flow hydrographs. The results show R2 values of 0.8922, 0.8959 and 0.8678 for average, median and mode parameter values, respectively. According to this result, it can be concluded that average and median parameter values of calibration sets is more accurate and reliable for validation in comparison with mode of parameter values.
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