Pemodelan Debit dengan Data Curah Hujan dari Rain Gauges dan Data TRMM pada DAS Temef di Pulau Timor - NTT
Main Article Content
Abstract
Rainfall data collection based on the TRMM (Tropical Rainfall Measuring Mission) satellite provides a good alternative in estimating rainfall. TRMM technology can minimize manual rainfall recording errors and increase rainfall accuracy for hydrological analysis. From the results of the statistical relationship analysis, the most accurate results obtained are 9 years of calibration and 1 year of validation, the selected equation is a polynomial with the following equation y = 0.0112 x2 - 0.2564x + 4,1293, so that validation analysis is carried out with the selected equation so that the validation results are obtained against 1 year rainfall data for the RMSE value of 7.022. The NSE value is 0.923, the Correlation Coefficient is 0.94 and the relative error value is 5.48 and the results of the equation for discharge are modeling return periods of discharge 2, 5, 10, 20 and 25 years for discharge observations of 2 years return period; Q = 84.44, m3/s at 5 years return period; Q = 105.95 m3/s, 10 year return period; Q = 120.86 m3/s, 20 years return period; Q = 135.16 m3/s, 25 years return period; Q = 139.69 m3/s. Meanwhile, for the simulation discharge, the return period is 2 years; Q =51,84 m3/s at 5 year return period; Q = 65,35 m3/s, 10 year return period; Q = 74,15 m3/s, 20 years return period; Q = 84,89 m3/s, return period of 25 years; Q = 94,65 m3/s.
Article Details

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
Dan Li et al (2017) Adequacy of TRMM satellite rainfall data in driving the SWAT modeling of Tiaoxi catchment (Taihu lake basin, China), Journal of Hydrology Volume 556, January 2018, Pages 1139-1152
Destiana Wahyu Pratiwi et al (2017) Evaluasi Data Hujan Satelit Untuk Prediksi Data Hujan Pengamatan Menggunakan Cross Correlation; Prosiding SEMNASTEK Fakultas Teknik Universitas Muhammadiyah Jakarta, ISSN : 2407 – 1846, e-ISSN : 2460 – 8416.
Jian Fang et al, (2019) Evaluation of the TRMM 3B42 and GPM IMERG products for extreme precipitation analysis over China, Atmospheric Research 223:24-38.
Harto, S. 1993. Analisis Hidrologi. Jakarta: PT Gramedia Pustaka Utama.
Huffman, G.J., Adler, R.F., Bolvin, D.T., Gu, G., Nelkin, E.J., Bowman, K. P., Hong, Y., Stocker, E.F., Wolff, D.B., 2007. The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. Journal of Hydrometeorology, 8, 38–55, https://doi.org/10.1175/JHM560.1.
Huffman, G.J., Adler, R.F., Bolvin, D.T., Nelkin, E.J., 2010. The TRMM Multi-satellite Precipitation Analysis (TMPA). Satellite Applications for Surface Hydrology, F. Hossain and M. Gebremichael, Eds., Springer, 3–22.
Junia N, Fauzi M, Suprayogi M (2015), Kesesuain Model Hidrograf Satuan Sintetik Studi Kasus Sub Daerah Aliran Sungai Siak Bagian Hulu ; Jom FTEKNIK Volume 2 No. 1 Februari 2015.
Kenawy Ahmed et al (2014) Evaluation of the TMPA-3B42 precipitation product using a high-density rain gauge network over complex terrain in northeastern Iberia, Global and Planetary Change, Volume 133, October 2015, Pages 188-200
Mishra S.K, Suresh Babu P, Singh V P (2016) SCS-CN METHOD REVISITED
Mulyani A, Nursyamsi D, Las I (2014) Acceleration of Agricultural Development in Dryland with Dry Climate in Nusa Tenggara : Pengembangan Inovasi Pertanian Vol. 7 No. 4 Desember 2014: 187-198
Na Yang et al (2017) Evaluation of the TRMM multisatellite precipitation analysis and its applicability in supporting reservoir operation and water resources management in Hanjiang basin, China. Journal of Hydrology 549:313-325.
PT Indra Karya (2017) Laporan Hidrologi - Sertifikasi Desain Lanjutan Penyelidikan Geologi Dan Model Tes Bendungan Temef di Kabupaten Timor Tengah Selatan – No. Kontrak HK.02.03./SATKER/BWS-NT II/KGT-PP/01/II/2017 ; Tanggal 24 Pebruari 2017.
Riza Arian Noor et al. (2016) Pemanfaatan Data Satelit Tropical Rainfall Measuring Mission (Trmm) Untuk Pemetaan Zona Agroklimat Oldeman Di Kalimantan Selatan, EnviroScienteae Vol 12 No 3
Susilawati, Konservasi Tanah Dan Air di Daerah Semi Kering Propinsi Nusa Tenggara Timur, Teknik Sipil Fakultas Teknik Universitas Katolik Widya Mandira – NTT
Sutikno, S., Handayani, Y. L., Fauzi, M., & Kurnia, A. (2017). Hydrologic modelling using TRMM-based rainfall products for flood analysis. https://doi.org/10.1051/matecconf/201710105015
Solihin M. A, Handayani, Y.L, Fauzi M (2017) Kajian Pola Distribusi Hujan Jam-Jaman Di Kabupaten Rokan Hulu Menggunakan Data Satelit Tropical Rainfall Measuring Mission (TRMM), Jom FTEKNIK Volume 4 No.2 Oktober 2017
Sri Maulidani S et al. (2015) Analisis Pola Dan Intensitas Curah Hujan Berdasakan Data Observasi Dan Satelit Tropical Rainfall Measuring Missions (TRMM) 3b42 V7 Di Makassar Jurnal sains dan Pendidikan fisika Vol. 11 No. 1.
Welkis et al. (2020), Characteristics of Flood Water Level Based on Hydrologic Soil Group Analysis in Temef Watershed, IOP Conference Series: Earth and Environmental Science, 437 (2020) 012005.