Evaluation of Satellite-based Rainfall Data in Flood Prediction

Authors

  • Bayu Krisna Wisnulingga Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada
  • Joko Sujono Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada
  • Rachmad Jayadi Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

DOI:

https://doi.org/10.18196/st.v26i2.19036

Keywords:

satellite rainfall, hydrograph, Opak River, AWLR Kretek

Abstract

Rainfall-runoff transformation is a solution to the difficulty of obtaining observed discharge data in flood prediction analysis. Rainfall-runoff transformation requires observed rainfall data with a high rate of accuracy spatially. However, observed rainfall data is also often not available. Satellite rainfall data is commonly used to replace observed rainfall data. However, the accuracy of satellite rainfall data still needs to be tested. This study applied rainfall-runoff transformation to the observed rainfall data and the PERSIANN, GPM, and GSMaP satellite rainfall data in the Opak Watershed using GAMA I SUH method, which were then compared with the observed hydrograph at the AWLR Kretek during the flood event that occurred in Yogyakarta Province due to Cyclone Cempaka to evaluate their accuracy. The results showed that the GPM data generated a hydrograph that is the closest to the observed hydrograph, both the shape and the peak of the hydrograph.

Author Biography

Bayu Krisna Wisnulingga, Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Civil and Environmental Engineering

References

Bappeda DIY (2016). Peta tata guna lahan Provinsi Yogyakarta [Unpublised dataset].

BBWSSO (2020). Peta administratif DAS Opak [Unpublised dataset].

BBWSSO (2021). Data hujan dan AWLR DAS Opak [Unpublised dataset].

BIG, (2019). Indonesia geospasial portal [Dataset]. https://tanahair.indonesia.go.id/portal-web

Brotowiryatmo, S. H. (2009). Hidrologi: Teori, masalah, dan penyelesaian. Nafitri Offset.

FAO. (2013). Harmonized world soil database v 1.2 [Dataset]. https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/harmonized-world-soil-database-v12/en/

Ginting, J. M., Sujono, J., & Jayadi, R. (2019). Analisis hubungan data hujan satelit dengan hujan terukur ARR Kalibawang. PROSIDING KONFERENSI NASIONAL PASCASARJANA TEKNIK SIPIL (KNPTS) X 2019, 89-102.

Gunawan, D. (2008), Perbandingan curah hujan bulanan dari data pengamatan permukaan, satelit TRMM, dan model. Jurnal Meteorologi dan Geofisika, 9, 1-10. http://dx.doi.org/10.31172/jmg.v9i1.17

Harsanto, P., Prihatmanti, H. E., & Wisnulingga, B. K. (2021). Aplikasi metode Nash pada perhitungan limpasan langsung menggunakan data hujan GPM 3IMERGHH studi kasus subDAS Winongo hulu. Jurnal Teknik Sumber Daya Air, 1(2), 121-132. https://doi.org/10.56860/jtsda.v1i2.27

Lydia, E. N., & Mutia, E. (2015). Penentuan pola agihan hujan tanpa pemisahan. JURUTERA-Jurnal Umum Teknik Terapan, 2(01), 48-56. https://doi.org/10.55377/jurutera.v2i01.791

Natadiredja, S., Sukarasa, I. K., & Sutapa, G. N. (2018). Validasi curah hujan harian berdasarkan data Global Satellite Mapping and Precipitation (GSMAP) di wilayah Bali dan Nusa Tenggara. Bulletin Fisika, 19(1), 12-15.

Mohamad, Z., Bakar, M. Z. A., & Norman, M. (2021). Evaluation of satellite based rainfall estimation. IOP Conference Series: Earth and Environmental Science, 620(1), 1-17. https://dx.doi.org/10.1088/1755-1315/620/1/012011

Pratama, A., Agiel, H. M., & Oktaviana, A. A. (2022). Evaluasi satellite precipitation product (GSMaP, CHIRPS, dan IMERG) di Kabupaten Lampung Selatan. Journal of Science and Applicative Technology, 6(1), 32-40. https://dx.doi.org/10.35472/jsat.v6i1.702

Saputra, A. J., Sujono, J., & Jayadi, R. (2019). Kajian hidrologi dan analisa kapasitas tampang Sungai Opak Yogyakarta. Seminar Nasional Teknik Sumber Daya Air, 173-185.

Scharffenberg, W. (2016), User’s manual hydrologic modeling system. U.S. Army Corps of Engineers, Institute for Water Resources, Hydrologic Engineering Center (CEIWR-HEC).

Trisantikawaty, R., & Sepriando, A. (2015), Validasi estimasi curah hujan menggunakan satelit TRMM terhadap curah hujan pengukuran permukaan (Studi kasus: Kalimantan Tengah), Meteorologi Klimatologi dan Geofisika, 2, 1-7. https://doi.org/10.13140/RG.2.2.11007.92321

Downloads

Published

2023-11-23

How to Cite

Wisnulingga, B. K., Sujono, J., & Jayadi, R. (2023). Evaluation of Satellite-based Rainfall Data in Flood Prediction. Semesta Teknika, 26(2), 137–147. https://doi.org/10.18196/st.v26i2.19036

Issue

Vol. 26 No. 2 (2023): NOVEMBER

Section

Articles

License


Semesta Teknika is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).