VALIDASI DATA HUJAN SATELIT TERHADAP DATA GROUND UNTUK ESTIMASI DEBIT ANDALAN DI KOTA SURAKARTA

Maknun Seno Aji Saputro, Rintis Hadiani, Sholihin As’ad

Abstract

Rainfall plays a critical role in the hydrological cycle, affecting various sectors such as water resource management, agriculture, and disaster mitigation. The Global Precipitation Measurement (GPM) satellite is a significant innovation in global rainfall measurement. The availability of GPM satellite data is particularly beneficial for regions with limited ground-based rainfall station data. This study validates rainfall data from the Global Precipitation Measurement (GPM) satellite against ground observation data to calculate dependable flow in Pepe River, Surakarta, using the National Rural Electric Cooperative Association (NRECA) method. The analysis spans data from 2004 to 2024. Validation results show a strong correlation (R = 0,7315) but notable deviations with Root Mean Square Error (RMSE) = 0,415 and NSE = 0,667. Post-calibration (coefficient 0,856), the correlation improves significantly (R = 1, RMSE = 0,016, NSE = 0,758). Dependable flow analysis identifies February as the month with the highest average discharge (1,163 m3/s) and highlights 2017 as the year with a Q80% value of 4,578 m3/s using the Weibull Basic Month method. Comparison of Q80% results with field discharge data, obtained through rating curve conversion, shows that the Q80% value falls within the standard deviation range of field discharge, validating the calculated results. The results of this study are expected to provide insights into the quality of GPM satellite rainfall data for dependable flow estimation.

Keywords

dependable flow, GPM, NRECA, rainfall, validation.

Full Text:

PDF

References

Ajr, E. Q., & Dwirani, F. (2019). Menentukan Stasiun Hujan dan Curah Hujan dengan Metode Polygon Thiessen Daerah Kabupaten Lebak. Jurnal Lingkungan Dan Sumberdaya Alam, 2(2), 139–146. https://ejournal.lppm-unbaja.ac.id/index.php/jls/article/view/674/387

Balasubramanian, A. (2017). DIGITAL ELEVATION MODEL ( DEM ) IN GIS by Prof . A . Balasubramanian Centre for Advanced Studies in Earth Science , University of Mysore , Mysore. ResearchGate, September. https://doi.org/10.13140/RG.2.2.23976.47369

Chay Asdak. (2023). Hidrologi dan Pengelolaan Daerah Aliran Sungai. Gadjah Mada University Press. https://books.google.co.id/books?hl=id&lr=&id=1c6pEAAAQBAJ&oi=fnd&pg=PP2&dq=daerah+aliran+sungai&ots=UbiqYBK_vv&sig=6ufQn4cK3u-xxPJKjKb2_B77Bk8&redir_esc=y#v=onepage&q=daerah aliran sungai&f=false

Dananjaya, R. H., Chrismaningwang, G., & Prihantoro, F. E. (2024). Akurasi Metode Random Forest Pada Proses Downscaling Dan Kalibrasi Data Trmm. Matriks Teknik Sipil, 11(4), 354. https://doi.org/10.20961/mateksi.v11i4.70261

Dananjaya, R. H., Fitri, S. N., & Cahyaningsih, Y. (2023). Studi Komparasi Hasil Downscaling Data Hujan Trmm Pada Berbagai Resolusi. Matriks Teknik Sipil, 11(2), 120. https://doi.org/10.20961/mateksi.v11i2.65087

Kementrian Pekerjaan Umum Direktorat Sumber Daya Air. (2013). Standar perencanaan irigasi bagian standar penggambaran. KP-01 Perencanaan Irigasi.

Kofidou, M., Stathopoulos, S., & Gemitzi, A. (2023). Review on spatial downscaling of satellite derived precipitation estimates. In Environmental Earth Sciences (Vol. 82, Issue 18). Springer Berlin Heidelberg. https://doi.org/10.1007/s12665-023-11115-7

Komariah, I., & Matsumoto, T. (2019). Application of hydrological method for sustainable water management in the Upper-Middle Ciliwung (UMC) river basin, Indonesia. Journal of Water and Environment Technology, 17(4), 203–217. https://doi.org/10.2965/jwet.18-003

Lee, J., Lee, E. H., & Seol, K. H. (2019). Validation of Integrated MultisatellitE Retrievals for GPM (IMERG) by using gauge-based analysis products of daily precipitation over East Asia. Theoretical and Applied Climatology, 137(3–4), 2497–2512. https://doi.org/10.1007/s00704-018-2749-1

Maknun, D. A., & Suripin, S. (2024). Determination of Flow Discharge Based on GPM Satellite Data in the Water Catchment Area (Case Study: Sepaku Semoi Reservoir). Media Komunikasi Teknik Sipil, 29(2), 205–212. https://doi.org/10.14710/mkts.v29i2.59015

Marta, S. D., Suhartanto, E., & Fidari, J. S. (2023). Validasi Data Curah Hujan Satelit dengan Data Stasiun Hujan di DAS Ngasinan Hulu, Kabupaten Trenggalek, Jawa Timur. Jurnal Teknologi Dan Rekayasa Sumber Daya Air, 3(1), 35–45. https://doi.org/10.21776/ub.jtresda.2023.003.01.04

National Aeronautics and Space Administration. (2024). Dual-frequency Precipitation Radar (DPR). Global Precipitation Measurement (GPM). https://gpm.nasa.gov/missions/GPM/DPR#dprinstrumentdetails

National Aeronautics and Space Administration. (2024). Global Precipitation Measurement (GPM). https://gpm.nasa.gov/data/sources/giovanni

Nugroho, A. P., & Sachro, S. S. (2024). Analisis Regresi Untuk Penentuan Faktor Koreksi Data Hujan Satelit (Studi Kasus Daerah Tangkapan Air Bendungan Way Apu). Teknik, 45(1), 59–68. https://doi.org/10.14710/teknik.v45i1.60335

Pangemanan, R., Supit, C. J., & Mamoto, J. D. (2020). Prediksi Banjir Di Sungai Ranowangko Kota Tomohon. Jurnal Sipil Statik, 8(6), 883–892.

Pradhan, R. K., Markonis, Y., Vargas Godoy, M. R., Villalba-Pradas, A., Andreadis, K. M., Nikolopoulos, E. I., Papalexiou, S. M., Rahim, A., Tapiador, F. J., & Hanel, M. (2022). Review of GPM IMERG performance: A global perspective. Remote Sensing of Environment, 268, 112754. https://doi.org/10.1016/J.RSE.2021.112754

Pratama, H. A., Ikhsan, J., & Apip, A. (2021). Prediksi Debit Aliran Masuk Ke Telaga Menjer Menggunakan Persamaan Neraca Air Dan Pemodelan Hec-Hms. Jurnal Teknik Hidraulik, 12(2), 119–130. https://doi.org/10.32679/jth.v12i2.655

Ramadhan, R., Yusnaini, H., Marzuki, M., Muharsyah, R., Suryanto, W., Sholihun, S., Vonnisa, M., Harmadi, H., Ningsih, A. P., Battaglia, A., Hashiguchi, H., & Tokay, A. (2022). Evaluation of GPM IMERG Performance Using Gauge Data over Indonesian Maritime Continent at Different Time Scales. Remote Sensing, 14(5), 1–24. https://doi.org/10.3390/rs14051172

Rudi Saputri, E. G. F., & Saves, F. (2023). Analisis Debit Andalan Metode Nreca Untuk Kebutuhan Air Irigasi Dan Neraca Air Waduk Bagong Trenggalek. Sondir, 7(1), 50–61. https://doi.org/10.36040/sondir.v7i1.5859

Safithri, A. (2017). Optimasi Pengelolaan Air Embung Salut TimurUntuk Air Baku Dan Irigasi Di Desa SalutKecamatan Kayangan Lombok Utara.

Samosir, D. Y., Yuliara, I. M., & Prasetia, R. (2020). Comparison and Analysis of Rainfall Spatial Patterns IMERG (Integrated Multi-Satellite Retrievals for GPM) Data and Observation Data on Bali Province. Buletin Fisika, 22(2), 67. https://doi.org/10.24843/bf.2021.v22.i02.p03

Saragi, T. E., Oktavianus Zai, E., & Zebua, E. (2023). Analisa Debit Andalan (Studi Kasus Pada PLTM Parmongan II). Jurnal Teknik Sipil, 2(2), 13–24.

Shalsabillah, H., Amri, K., & Gunawan, G. (2019). Analisis Kebutuhan Air Irigasi Menggunakan Metode Cropwat Version 8.0. Inersia, Jurnal Teknik Sipil, 10(2), 61–68. https://doi.org/10.33369/ijts.10.2.61-68

Vernimmen, R. R. E., Hooijer, A., Mamenun, Aldrian, E., & Van Dijk, A. I. J. M. (2012). Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia. Hydrology and Earth System Sciences, 16(1), 133–146. https://doi.org/10.5194/hess-16-133-2012

DOI: https://doi.org/10.20961/jrrs.v8i2.101899

Refbacks

  • There are currently no refbacks.