Utilization of HEC DSS and HEC SSP Software for Rainfall Frequency Analysis in Drainage System Design for City’s Industrial Area

Diana Rahayu; Risdiamon Rizal; Irpan Chumaedi

doi:10.29244/jsil.10.1.179-192

Diana Rahayu ⁽¹⁾, Risdiamon Rizal ⁽²⁾, Irpan Chumaedi ⁽³⁾

(1) Institut Sains dan Teknologi Al Kamal Jakarta, Indonesia

(2) Institut Sains dan Teknologi Al kamal, Indonesia

(3) PT Sapta Adhi, Indonesia

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Abstract:

The analysis of designed rainfall frequency is a key input in various designing in the field of hydraulic engineering, such as floodplain mitigation, water structure construction, and flood inundation mapping. The calculation of rainfall frequency analysis still largely uses Microsoft Excel-based statistics that are calculated manually. The purpose of writing this article is to utilize HEC DSS and HEC SSP software in analyzing rainfall frequency at the measurement location. Measured rainfall data collected from the BMKG Hang Nadim rain station over the past 12 years has been inventoried in the HEC DSS and descriptions have been inputted in sections A to F. Then the data that has been input into HEC DSS will be integrated with HEC SSP. By plotting rainfall data at HEC SSP and running an analysis of the rainfall data, the rainfall frequency analysis at the measurement location was obtained. From running the HEC SSP with Normal, Log-Normal, Gumbel, and Log-Pearson III rainfall distributions, the distribution fit tests using the Kolmogorov-Smirnov method yielded the smallest error value for Log-Pearson III at 0.149 and for the Anderson-Darling method at 0.176. Therefore, the rainfall frequency analysis used is based on the Log-Pearson III rainfall distribution. Where the rainfall design values for return periods of 2, 5, 10, 20, and 50 years are sequentially 118.434 mm/day, 172.94 mm/day, 217.94 mm/day, 268.73 mm/day, 355.81 mm/day, and 442.90 mm/day. The rainfall frequency analysis results are used as input data to compute the flood discharge recurrence interval with the Rational methode. Using a flood discharge with a 10-year return period (Q10) and a concrete channel, the proposed drainage channel dimensions of 0.80 m and 1.20 m were determined.

References

[1] Syaifullah MD. Validasi Data TRMM Terhadap Data Curah Hujan Aktual Di Tiga Das Di Indonesia. Jurnal Meteorologi dan Geofisika. 2014;15(2):109–18.
[2] Farhan A, Saidah H, Supriyadi A. Analisis Perbandingan Kurva Intensitas Durasi Frekuensi (Idf) Kota Bima Menggunakan Data Hujan Terukur Dan Data Hujan Dari Satelit Japan Aerospace Exploration Agency. Spektrum Sipil. 9 Desember 2021;8(2):105–16.
[3] Rubinato M, Nichols A, Peng Y, Zhang J min, Lashford C, Cai Y peng, dkk. Urban and river flooding: Comparison of flood risk management approaches in the UK and China and an assessment of future knowledge needs. Water Science and Engineering. 1 Desember 2019;12(4):274–83.
[4] Alsadilla S, Wardhani E. Perencanaan Konsep Zero Runoff dengan Menggunakan Sumur Resapan di Perumahan X, Kabupaten Bandung. Jurnal Teknik Sipil dan Lingkungan [Internet]. 28 Oktober 2024;9(2):147–56. Tersedia pada: https://journal.ipb.ac.id/index.php/jsil/article/view/51181
[5] Soetanto R, Mullins A, Achour N. The perceptions of social responsibility for community resilience to flooding: the impact of past experience, age, gender and ethnicity. Natural Hazards. 1 April 2017;86(3):05–26.
[6] Saidah H, Wirahman Wiradharma L, Supriyadi A, Julia Kamtika M. Pemanfaatan Data Hujan Berbasis Satelit Chirps Untuk Pemetaan Hujan Rancangan Di Kabupaten Lombok Utara. Jurnal Ganec Swara [Internet]. 07 September 2024;18(3):1667-1674 Tersedia pada: https://data.chc.ucsb.edu/products/CHIRPS-2.0/.
[7] Fahraini A, Achmad Rusdiansyah. Analisis Keandalan Metode Analisa Frekuensi Dan Intensitas Hujan Berdasarkan Data Curah Hujan Klimatologi Banjarbaru. Sustainable Technology Journal) [Internet]. 2020;9(1):11–23. Tersedia pada: http://jtb.ulm.ac.id/index.php/JTB
[8] Xu Z, Zhao G. Impact of urbanization on rainfall-runoff processes: Case study in the liangshui river basin in Beijing, China. Dalam: IAHS-AISH Proceedings and Reports. Copernicus GmbH; 2016. hlm. 7–12.
[9] Istiarto. Simulasi aliran 1D dengan bantuan Model Hidrologi-Hidrolika SWMM. Versi 1.2. Yogyakarta. Universitas Gajah Mada. 2024. hlm. 1-34. [Internet]. Vol. 1. 2024. Tersedia pada: https://istiarto.staff.ugm.ac.id
[10] Fiani M, Pribadi A. Evaluasi Sistem Drainase Menggunakan Program SWMM 5.2 pada Perumahan Wisma Asri, Bekasi Utara. Jurnal Teknik Sipil dan Lingkungan [Internet]. 28 Oktober 2024;9(2):71–82. Tersedia pada: https://journal.ipb.ac.id/index.php/jsil/article/view/57398
[11] Gunawan H, Saggaf A, . S. Kajian Penanganan Banjir Dengan Sistem Pompa Di Sungai Bendung, Kota Palembang. Jurnal Sumber Daya Air. 31 Mei 2021;17(1):49–58.
[12] Nugraheni CT, Pawitan H, Purwanto YJ, Ridwansyah I. Neraca Air Situ Cikaret dan Situ Kabantenan di Kabupaten Bogor Menggunakan Pemodelan Hidrologi SWAT. LIMNOTEK Perairan Darat Tropis di Indonesia. 23 April 2019; 26(2): 89–102. Tersedia pada: www.limnotek.or.id
[13] Shahabi H, Shirzadi A, Ghaderi K, Omidvar E, Al-Ansari N, Clague JJ, dkk. Flood detection and susceptibility mapping using Sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on K-Nearest Neighbor classifier. Remote Sens (Basel). 1 Januari 2020;12(2).
[14] Suni YP. Mengenal Berbagai Model Hidrologi Di Indonesia. Jurnal Teknik Sipil. 2023;2(2).
[15] Sylvia Lestari U. Kajian Metode Empiris Untuk Menghitung Debit Banjir Sungai Negara Di Ruas Kecamatan Sungai Pandan (ALABIO). Jurnal Poros Teknik. 2016;8(2):55–103.
[16] Saktrianus Beis D, Jan Pattipeilohy W, Sabana Hadi A. Identifikasi Penurunan Tren Curah Hujan, CDD dan CWD di Kota Kupang, Nusa Tenggara Timur. Buletin GAW Bariri. 30 Juni 2022;3(1):8-16
[17] Negara HRP, Syaharuddin, dan Ripai. Sistem Informasi Manajemen Hujan Dan Banjir Rancangan. Jurnal Varian. September 2017;1(1):64-75.
[18] Matondang MA, Perwira Mulia A, Faisal M. Analisa Area Genangan Banjir Sungai Babura Berbasis Hec-Ras dan Gis. Jurnal Syntax Admiration. 22 Januari 2022;3(1):180–201.
[19] Dewi S. Menentukan Distribusi Representatif Frequensi Curahan Hujan Harian Maksimum Dengan Metode histogram Dan Metode Parametik Di Provinsi Sumatera Barat. RANG TEK Journal. 1 Januari 2018;1(1). Tersedia pada: http://jurnal.usu.ac.idindex.php/agroekoteknologi/article/view/58
[20] Nadila A, Adi Putri Siregar M. Peramalan Curah Hujan Ekstrem Di Kota Medan Dengan Model Spatial Extreme Value Dengan Pendekatan Max Stable Process. Lebesgue: Jurnal Pendidikan Matematika, Matematika dan Statistika. 2023;4(1):73-85 Tersedia pada: http://lebesgue.lppmbinabangsa.id/index.php/home