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Analysis of Flood Discharge in the Balangan Sub-Watershed Using HEC-HMS Erisa, Erisa; Helda, Noordiah
Jurnal Teknik Sipil dan Perencanaan Vol. 27 No. 2 (2025): Jurnal Teknik Sipil dan Perencanaan
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jtsp.v27i2.21976

Abstract

Flooding poses significant challenges, especially in areas with rapid urban development, such as Balangan Regency, South Kalimantan. This study analyzes the hydrological conditions contributing to floods in the Balangan River watershed using the HEC-HMS (Hydrologic Modeling System). The research employs secondary data, including rainfall data from GSMaP (Global Satellite Mapping of Precipitation), watershed delineation from DEMNAS, and soil type data from Google Earth Engine. Precipitation data spanning 20 years (2003–2022) were analyzed using the Thiessen Polygon Method and statistical tests such as chi-square and Smirnov-Kolmogorov for distribution fitting. Hydrological modeling was conducted using the SCS Curve Number method integrated into HEC-HMS to estimate flood discharges for various return periods. The results indicate peak discharges of 2,916.8 m³/s, 4,309.7 m³/s, 5,590.8 m³/s, 7,288.5 m³/s, 9,625.8 m³/s, and 11,943.4 m³/s for return periods of 2, 5, 10, 20, 50, and 100 years, respectively. These findings highlight the critical impact of land cover, soil characteristics, and rainfall patterns on flood risks. The study underscores the importance of incorporating hydrological modeling tools like HEC-HMS for effective flood risk management and planning in the region.
Evaluasi Data Satelit GPM (Global Precipitation Measurement) pada DAS Kemuning di Banjarbaru, Kalimantan Selatan Helda, Noordiah; Amal, Nilna; Afrila, Humaira; Surya Saputri, Dwi; Erisa, Erisa; Risky Maulana, Muhammad; Irfan, Muhammad
Borneo Engineering: Jurnal Teknik Sipil Volume 9 Nomor 1 Tahun 2025
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/be.v9i1.55

Abstract

In the hydrological cycle, rainfall is one of the vital components for the environment. Rainfall data plays an important role in determining the amount of runoff that occurs. Accurate and complete rainfall data estimates are needed in managing water resources; which are still limited, especially for watersheds with less field rainfall measurement stations. This study aims to analyze the use of satellite-based rainfall data, especially GPM (Global Precipitation Measurement) as an alternative rainfall data for watersheds with minimal observational rainfall data. In this study, secondary data collection was carried out by downloading observational rainfall data via BMKG Online and GPM satellite-based rainfall data for the period of 2018-2023. Several statistical methods were used to assess satellite performance and the relationship between BMKG and GPM data in Kemuning Watershed. From the results of the analysis, it can be seen that the correlation value between BMKG and GPM shows sufficient correlation (r = 0.45) and as much as 93% of GPM satellite data can be explained by BMKG data factors. Thus, GPM satellite data can be used as an alternative rainfall data, especially for watersheds with limited measurement stations.