Mitigasi Banjir DAS Citarum Hulu Berbasis Model HEC-HMS

Listyarini, Diah and Hidayat, Yayat and Tjahjono, Boedi (2018) Mitigasi Banjir DAS Citarum Hulu Berbasis Model HEC-HMS. Jurnal Tanah dan Lingkungan, 20 (1). pp. 40-48. ISSN 2549-2853

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Floods that occur almost every year in the Upper Citarum River Watershed cause these watersheds to be in the spotlight of various parties. Hydrological modeling is one of the flood mitigation techniques for predicting flood discharge in a watershed. The HEC-HMS model can be used for the prediction of flood discharge base for analysis of a catchment system, particularly for calculating the unmeasured rainfall-runoff. HEC-HMS consists of rainfall and catchment characteristics as input and flow discharge and runoff volume as output. The objectives of this research are: (i) to overview the performance of the HEC-HMS model to predict peak discharge in Upper Citarum Watershed; (ii) to analyze flood discharge using simulation HEC-HMS model; (iii) to recommend a flood mitigation scenario to reduce peak discharge in Upper Citarum Watershed. Primary preparation of HEC-HMS model parameter input calculated by HEC-GeoHMS with the SCS method. Flood discharge was calculated in the HEC-HMS model by SCS- Unit Hydrograph method for the transform component, recession method for the baseflow component, and lag method for the routing component. The result showed that the The HEC-HMS model has good performance in predicting flood discharge with R2 and NSE values in the calibration process by 0.81-0.96 and 0.56-0.87. The validation process in predicting flood discharge produced R2 and NSE values of 0.81-0.94 and 0.45-0.76 respectively. 4th scenario is best practice management that can be implemented in reduced peak discharge up to 61.96%, to increase time to peak by 3.75 hours and reduce volume discharge up to 49.58%.

Type: Article
Subjects: S Agriculture > S Agriculture (General)
Divisions: Fakultas Pertanian > Agroekoteknologi
Depositing User: Listyarini
Date Deposited: 09 May 2023 06:07
Last Modified: 09 May 2023 06:07

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