Yohanna Lilis Handayani, Gopal Adya Ariska, David Imannuel Ketaren
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引用次数: 0

摘要

本研究旨在比较使用体积百分比误差(PEV)和峰值加权均方根误差(RMSE)对土壤水分核算(SMA)模型的校准结果。SMA模型校准使用HEC-HMS(水文工程中心-水文建模系统)。自动校准12个校准参数。输入的数据是流域面积、日降雨量、日流量数据和气候数据。使用的数据是2008年至2017年的数据。结果表明,PEV性能取得了良好的效果。而均方根误差显示结果不佳。PEV结果在7年的校准和3年的验证时最好。校准数据的长度不影响验证结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kalibrasi Model Soil Moisture Accounting dengan Software HEC-HMS di Stasiun Debit Pasir Pangaraian
This research aims to compare the results of the calibration of the Soil Moisture Accounting (SMA) model using Percent Error in Volume (PEV) and Peak Weighted Root Mean Square Error (RMSE). The SMA model calibration uses the HEC-HMS (Hydrologic Engineering Center – Hydrologic Modeling System). There are 12 calibrated parameters by automatic calibration. The input data are the area of ​​the watershed, daily rainfall, daily discharge data and climatological data. The data used is data from 2008 to 2017. The results show that PEV performance shows good results. While the RMSE showed poor results. PEV results are best at 7 years of calibration and 3 years of verification. The length of the calibration data has not affected the verification results.
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