Spatial Distribution of Rainfall in the Opiyang Watershed Using the Thiessen Polygon Method and its Implications for River Discharge
DOI:
https://doi.org/10.52046/jssh.v6i1.2782Keywords:
Distribusi Curah Hujan, Poligon Thiessen, DAS Opiyang, Debit Sungai, Variabilitas SpasialAbstract
Understanding the spatial distribution of rainfall is fundamental for analyzing water availability in a river basin. This study aims to examine the rainfall distribution in the Opiyang Watershed using the Thiessen Polygon Method, investigating its spatial and temporal variability, and analyzing its impact on river discharge with the F.J. Mock hydrological model. Monthly rainfall data from three stations—Mancalele, Mekarsari, and Dakaino—covering 2015–2024 were processed using Geographic Information Systems (GIS). Results show Dakaino station has the largest spatial influence, with a weight of 70.24% over an area of 172.5 km², followed by Mekarsari (17.14%, 42.1 km²) and Mancalele (12.62%, 31 km²). The annual mean rainfall recorded is 2,329 mm, with peak rainfall in June (242 mm) and the lowest in October (140 mm). Discharge simulations indicate the Q80% reliability flow ranges from 0.46 to 1.47 m³/s. A strong correlation (r = 0.87) exists between rainfall and river discharge, with rainfall explaining about 75.7% of discharge variability. This relationship provides a scientific basis for water resource management, flood mitigation, and sustainable infrastructure planning in Halmahera Timur. The Thiessen Polygon Method offers more accurate and representative estimates of the watershed’s rainfall compared to simple average methods. Practically, these findings emphasize prioritizing upstream conservation, especially Dakaino, and using a minimum Q80% of 0.46 m³/s for designing irrigation and water supply systems to ensure water availability during dry months.
References
Alozeer, A., Abdaki, M. A., Al-Iraqi, A., Al-Samman, S., & Al-Hammadi, N. (2020). Estimation Of Mean Areal Rainfall And Missing Data By Using Gis In Nineveh, Northern Iraq. The Iraqi Geological Journal, 93–103. https://doi.org/10.46717/igj.53.1E.7Ry-2020-07.07
Amiruddin, H. A., Ahmad, A., & Nathan, Muh. (2024). Analysis of Surface Runoff and Remote Sensing Data to Identify Flood Potential in Simbang Sub-Watershed. BIO Web of Conferences, 96, 04008. https://doi.org/10.1051/bioconf/20249604008
Arianti, I. (2018). Rainfall Estimation By Using Thiessen Polygons, Inverse Distance Weighted, Spline, And Kriging Methods: A Case Study In Pontianak, West Kalimantan. 6 (11).
Basuki, T. M., Nugroho, H. Y. S. H., Indrajaya, Y., Pramono, I. B., Nugroho, N. P., Supangat, A. B., Indrawati, D. R., Savitri, E., Wahyuningrum, N., Purwanto, Cahyono, S. A., Putra, P. B., Adi, R. N., Nugroho, A. W., Auliyani, D., Wuryanta, A., Riyanto, H. D., Harjadi, B., Yudilastyantoro, C., … Simarmata, D. P. (2022). Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review. Sustainability, 14(16), 9997. https://doi.org/10.3390/su14169997
Bojago, E. (2024). Spatio-temporal rainfall variability and trends using a Kriging-interpolation and Innovative trend analysis approach: The case of Wolaita zone, south Ethiopia. Discover Sustainability, 5(1), 495. https://doi.org/10.1007/s43621-024-00685-6
Gandri, L., Syaf, H., Abadi, M., Hasani, U. O., Arif, L. O. K., & Albasri. (2023). Analisis Daya Dukung Tata Air untuk Monitoring Kinerja Pengelolaan DAS Poleang, Sulawesi Tenggara. Al-Ard: Jurnal Teknik Lingkungan, 8(2), 91–100. https://doi.org/10.29080/alard.v8i2.1731
Hidayat, D. P. A., Legowo, W. D. S., & Farid, M. (2024). Development of Rainfall-Runoff Model Using Mock Formula with the Calibration of Stream Discharge in Cisadane Watershed—Indonesia. In B. S. Mohammed, T. H. Min, M. H. Sutanto, T. B. Joewono, & S. As’ad (Eds.), Proceedings of the International Conference on Emerging Smart Cities (ICESC2022) (Vol. 324, pp. 253–261). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-1111-0_21
Hwang, S. H., Kim, K. B., & Han, D. (2020). Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data. Journal of Hydrology, 588, 125084. https://doi.org/10.1016/j.jhydrol.2020.125084
Ismafatin Nabilah Ismail, Mohd Khairul Amri Kamarudin, Frankie Marcus Ata, Nor Rohaizah Jamil, Haryati Shafii, & Endri Sanopaka. (2025). GIS Isohyet and Thiessen Polygon Methods for Rainfall Pattern in Kelantan, Malaysia. Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES), 11, 1739–1744. https://doi.org/10.5109/7395739
Ismail, A., Greve, K., Widiawaty, M. A., Dede, M., & Nandi, N. (2024). Effect of Vegetation Cover Changes on the Runoff Coefficient Characteristics in the Cisangkuy Watershed, Indonesia. Anuário Do Instituto de Geociências, 47. https://doi.org/10.11137/1982-3908_2024_47_61104
Maftukhakh Hilmya Nada, F., & Iqbal Taufiqurrahman Sunariya, M. (2025). The impact of land cover change on runoff coefficient at Upper Garang Watershed, Jawa Tengah Province, Indonesia. IOP Conference Series: Earth and Environmental Science, 1438(1), 012021. https://doi.org/10.1088/1755-1315/1438/1/012021
Pratama, J. P., & Darmawan, Y. (2025). Analisis Pola Sebaran Spasial Curah Hujan di Provinsi Jawa Tengah Menggunakan Metode Poligon Thiessen untuk Mitigasi Bencana Banjir. Sainteks, 22(1), 23–28. https://doi.org/10.30595/sainteks.v22i1.25602
Sudaryatno, Rahardjo, N., Winanda, & Saputri, S. Y. (2021). Estimation of peak discharge using a rational method in Kodil Sub-Watershed, Purworejo Regency, Central Java. IOP Conference Series: Earth and Environmental Science, 686(1), 012025. https://doi.org/10.1088/1755-1315/686/1/012025
Waode Faridawaty & Asda Rauf. (2025). Karakteristik Daerah Aliran Sungai (DAS): Analisis Spasial Biogeofisik DAS Paguyaman. Journal of International Multidisciplinary Research, 3(2), 25–40. https://doi.org/10.62504/jimr1207
Wiwoho, B. S., Astuti, I. S., Purwanto, P., Deffinika, I., Alfarizi, I. A. G., Sucahyo, H. R., Gusti, R., Herwanto, M. T., & Herlambang, G. A. (2023). Assessing long-term rainfall trends and changes in a tropical watershed Brantas, Indonesia: An approach for quantifying the agreement among satellite-based rainfall data, ground rainfall data, and small-scale farmers questionnaires. Natural Hazards, 117(3), 2835–2862. https://doi.org/10.1007/s11069-023-05969-0.
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Copyright (c) 2026 Susanti Rahman, Amirudin Miradj

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


















