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Prosedur Kalibrasi dan Validasi Model SMAR untuk Mendeskripsikan Proses Hujan Aliran di Sub-DAS Rawatamtu

机译:用于描述Rawatamtu小流域降雨过程的SMAR模型的校准和验证过程

摘要

. The Soil Moisture Accounting Rainfall Model (SMAR) is one of Rainfall Runoff Library Models (RRL) used to calculate Run-Off from rainfall and evapotranspiration data. This article shows the procedure to calibrate the model. Furthermore, this article also show the benefit of software fitur and user interface. Model is calibrated and validated using discharge data otained from Rawatamtu sub-Watershed (East Java). Two methodes (generic and manual) were exploited for the calibration and validation procceses. The result was evaluated by using the criteria of: Nash-Sutcliffe Coefficient, Coefficient of Correlation and difference in run-off. Calibration is conducted at the first half of recording periods, while validation is conducted at the second half of recording periods. The result shows that both generic and manual method can describe Rainfall to Run-Off process of the watershed, during calibration periode. However, during validation period model performance is not satisfied, due to the limit of data used. More data is needed to evaluate the model performance.
机译:。土壤水分核算降雨模型(SMAR)是用于从降雨和蒸散数据计算径流的降雨径流库模型(RRL)之一。本文介绍了校准模型的过程。此外,本文还展示了软件安装和用户界面的好处。使用从Rawatamtu子流域(东爪哇省)获得的流量数据对模型进行校准和验证。利用两种方法(通用方法和手动方法)进行校准和验证过程。通过以下标准评估结果:Nash-Sutcliffe系数,相关系数和径流差。在记录周期的前半部分进行校准,而在记录周期的后半部分进行验证。结果表明,在标定周期内,通用方法和人工方法都可以描述流域的降雨至径流过程。但是,由于使用的数据限制,在验证期间无法满足模型性能。需要更多数据来评估模型性能。

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    Indarto, Indarto;

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  • 年度 2012
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