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Jurnal Sumber Daya Air
Article . 2026 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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Prediksi Debit Banjir Rancangan Menggunakan Metode Hidrograf Satuan SCS pada DAS Aesesa untuk Mitigasi Resiko Banjir

Authors: Ralno Robson Klau; Denik Sri Krisnayanti; Jakobis Johanis Messakh;

Prediksi Debit Banjir Rancangan Menggunakan Metode Hidrograf Satuan SCS pada DAS Aesesa untuk Mitigasi Resiko Banjir

Abstract

The Aesesa River Basin is located in the Ngada and Nagekeo Regencies on Flores Island, with a basin area of 1,169.24 km2. The purpose of this research is to analyze the flood discharge of the Aesesa River Basin based on the Natural Resources Conservation Service (NRCS), USA Curve Number infiltration method, and the Synthetic Unit Hydrograph (SCS) method. Rainfall data used satellite TRMM corrected with rain gauge data, with a data length of 20 years (2000 – 2019). Observed discharge using the Boasaby staff gauge (SG) and basin characteristics using the Geographical Information System (GIS). Design rainfall analysis used the Generalized Extreme Value (GEV) distribution. Flood analysis used the soil conservation service synthetic unit hydrograph method (HSS SCS) with the aid of HEC-HMS software. The research results show that land cover is dominated by savanna and shrub vegetation, and soil types with low permeability result in a CN value of 77.77. Flood discharge analysis was subsequently performed for various return periods. The observed flood discharge obtained from hydraulic calculations using the continuity equation was approximately 405.19 m³/s. The calculated flood discharge for the 2-year return period was 250.10 m3/s. Meanwhile, at return periods of 5, 10, 25, 50, 100, 200, 500, and 1000 years, the flood discharge is 480.10 m3/s, 691.80 m3/s, 1036.10 m3/s, 1365.90 m3/s, 1759.70 m3/s, 2231.00 m3/s, 3020.90 m3/s, and 3755.30 m3/s respectively, all exceeding the observed flood discharge. These results indicate that the relatively high Curve Number (CN) value in the Aesesa Watershed reflects low infiltration capacity, thereby contributing to increased surface runoff.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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