CALIBRATION ANALYSIS OF RAIN DISCHARGE MODELING IN THE KALIBODO WATERSHED USING HEC-HMS

Danayanti Azmi Dewi Nusantara, Belia Tatika Arno Dianeka
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Abstract

The Kalibodo sub-watershed is among the Brantas sub-watersheds. The sub-watershed under consideration is situated within the administrative boundaries of Malang Regency. A recurring issue of flooding afflicts the area in question. Floods are influenced by alterations in land utilization, insufficiency of water catchment regions, and elevated precipitation levels. Efforts can be made to address the flooding issue by implementing a hydrological analysis in rain-discharge modeling. The modeling process is conducted using the Hec-HMS software tool. This modeling endeavor aims to acquire hydrological values that closely resemble the observed data. This parameter is a metric for assessing the volume of water flowing through a river. The methodology employed in Soil Conservation Service (SCS) is based on the Curve Number (CN) approach. The method encompasses several parameters: CN, Tlag, Ia, and impervious values. The model calibration process utilizes an input CN value of 77.66 and an impenetrable value of 16.77.Moreover, the analysis of rainfall is conducted using the Thiessen Polygon approach, which considers the influence of rain stations located in Singosari, Sumbergondo, and Karangploso. The present analysis yielded weighting values of 0.457, 0.096, and 0.447 for the Singosari, Sumbergondo, and Karangploso rain stations. The calibration process lost a Nash-Sutcliffe Efficiency (NSE) value of 0.994. Simultaneously, the root mean square error (RMSE) exhibits a value of 0.4. The matter in question is classified as outstanding due to its proximity to an NSE value of 1 and an RMSE value close to 0, indicating a minimal error rate
kalibodo流域雨量模拟的hec-hms定标分析
Kalibodo子流域是Brantas子流域之一。考虑中的小流域位于玛琅摄政的行政边界内。反复出现的洪水问题折磨着这一地区。洪水受土地利用变化、集水区不足和降水水平升高的影响。通过在降雨排放模型中实施水文分析,可以努力解决洪水问题。建模过程采用Hec-HMS软件工具进行。这种建模努力的目的是获得与观测数据非常相似的水文值。该参数是评估流经河流的水量的度量。土壤保持服务(SCS)采用的方法是基于曲线数(CN)方法。该方法包含几个参数:CN、flag、Ia和impervious值。模型校准过程使用的输入CN值为77.66,不可穿透值为16.77。此外,降雨分析使用Thiessen多边形方法进行,该方法考虑了位于Singosari, Sumbergondo和Karangploso的雨站的影响。分析结果表明,Singosari、Sumbergondo和Karangploso雨站的加权值分别为0.457、0.096和0.447。校准过程的Nash-Sutcliffe效率(NSE)值为0.994。同时,均方根误差(RMSE)为0.4。由于问题的NSE值接近于1,RMSE值接近于0,表明错误率最小,因此问题被归类为未解决
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