Analysis of Rain Intensity Calculation Based on Rainfall Data from the Rain Station in Amuntai City, Hulu Sungai Utara District

Suwaji; Rezky  Anisari

doi:10.55927/mudima.v4i7.10364

Authors

Suwaji Politeknik Negeri Banjarmasin
Rezky Anisari Politeknik Negeri Banjarmasin

DOI:

https://doi.org/10.55927/mudima.v4i7.10364

Keywords:

River Stream Area, Rainfall, Planned Flood Discharge, Rational Methods, Der Weduwen Method, Haspers Method

Abstract

Flood management in South Kalimantan has been crucial in addressing the devastating floods that occurred in 2021. The event, which spanned around 4000 km², was exacerbated by land cover changes and continuous rainfall. Understanding the factors contributing to flooding is essential for developing effective mitigation and management measures. Utilizing methodologies like calculating rainfall intensity, analyzing rainfall patterns, and employing models like IDF curves and nomographs can enhance flood prevention efforts and develop more effective strategies to mitigate the impact of floods. This research aims to calculate the flood debit plan using an empirical method. This study employs the Library Study Method and conducts a rainfall analysis to determine the Flood Debit Value of the State River Flow Area Plan (DAS), utilizing the Rational Method, the Der Weduwen Method, and the Haspers Method. The highest annual effective rainfall data for the study area was found for 2.5, 10, 25, and 50 years. The Flood Debit Value of the Plan (Qbr) was found using the following logical methods: 419.14 m³/s, 533.75 m³/s, 562.75 m²/s, 603.32 m³/s, and 649.62 m³/s. The rational method yielded the largest flood debit plan, which can serve as guidelines or a reference for future planning of water buildings for flood control in the State River. This is based on the analysis of the calculation of flood debit plans based on the maximum annual rainfall and effective rainfall of the area of river flow (DAS) in the State River streets, Pandan river district, Pandan (Alabio), Hulu Sungai Utara

References

Adi, R.N., Savitri, E., 2022. The Effect of Land Cover Changes on the 2021 Flood in the Barito Watershed, South Kalimantan. IOP Conf Ser Earth Environ Sci 1109, 012017. https://doi.org/10.1088/1755-1315/1109/1/012017

Farida, Y., 2024. Modeling the Flood Disaster in South Kalimantan Using Geographically Weighted Regression and Mixed Geographically Weighted Regression. Itm Web of Conferences 58, 04004. https://doi.org/10.1051/itmconf/20245804004

Ikhwanudin, I., 2024. Flood Management in the Babon River Watershed, Semarang City. Kne Social Sciences. https://doi.org/10.18502/kss.v9i6.15299

Kuntoro, A.A., Hapsari, R.K., Adityawan, M.B., Widyaningtias, Radhika, 2022. Estimation of Extreme Rainfall Over Kalimantan Island Based on GPM IMERG Daily Data. IOP Conf Ser Earth Environ Sci 1065, 012036. https://doi.org/10.1088/1755-1315/1065/1/012036

Lee, E.H., Kim, J.H., Choo, Y.M., Jo, D.J., 2018. Application of Flood Nomograph for Flood Forecasting in Urban Areas. Water (Basel) 10, 53. https://doi.org/10.3390/w10010053

Lestari, F., 2024. Estimating the Flood, Landslide, and Heavy Rainfall Susceptibility of Vaccine Transportation After 2021 Flooding in South Kalimantan Province, Indonesia. Sustainability 16, 1554. https://doi.org/10.3390/su16041554

Luo, P., Apip, He, B., Duan, W., Takara, K., Nover, D., 2015. Impact Assessment of Rainfall Scenarios and Land‐use Change on Hydrologic Response Using Synthetic Area IDF Curves. J Flood Risk Manag 11. https://doi.org/10.1111/jfr3.12164

Mauro, C.D., Hostache, R., Matgen, P., Pelich, R., Chini, M., Leeuwen, P.J. v., Nichols, N.K., Blöschl, G., 2022. A Tempered Particle Filter to Enhance the Assimilation of SAR‐Derived Flood Extent Maps Into Flood Forecasting Models. Water Resour Res 58. https://doi.org/10.1029/2022wr031940

Novitasari, N., Kurdi, H., 2022. Flood Mitigation in Banjar Regency, South Kalimantan, Indonesia in 2021: Between Hydro-Meteorological Factor and Anthropogenic Factor. IOP Conf Ser Earth Environ Sci 999, 012010. https://doi.org/10.1088/1755-1315/999/1/012010

Pratama, M.B., Multazima, R., Azkiarizqi, I.N., 2021. Hydro-Meteorological Aspects of the 2021 South Kalimantan Flood: Topography, Tides, and Precipitation. International Journal of Remote Sensing and Earth Sciences (Ijreses) 18, 73. https://doi.org/10.30536/j.ijreses.2021.v18.a3539

Saputra, A.N., 2023. Analysis of Flood Inundation Mapping Using the Weighting Method in Urban Floods. IOP Conf Ser Earth Environ Sci 1276, 012026. https://doi.org/10.1088/1755-1315/1276/1/012026

Suharyanto, A., 2021. Estimating Flood Inundation Depth Along the Arterial Road Based on the Rainfall Intensity. Civil and Environmental Engineering 17, 66–81. https://doi.org/10.2478/cee-2021-0008

Syafrina, et a., 2018. Stochastic Generation of Hourly Rainfall Series in the Western Region of Peninsular Malaysia. International Journal of Advanced and Applied Sciences 5, 101