Analysis of Dependable Flow in the Brantas Watershed using Google Earth Engine
Keywords:
Brantas River Basin, CHIRPS, Dependable Flow, F.J. Mock Method, Google Earth Engine (GEE)Abstract
Dependable flow analysis is crucial for water resource management, such as in the Brantas River Basin, but is often hindered by the limitations of conventional observation data (AWLR). This research demonstrates an alternative methodology by integrating the Google Earth Engine (GEE) platform with the F.J. Mock hydrological model to estimate dependable flow, using a quantitative descriptive approach in the Brantas River Basin, Blitar Regency (area 1588.79 km²). The research methodology includes the acquisition of CHIRPS satellite rainfall data (2022–2024 period) via GEE and climatological data from BMKG. Potential Evapotranspiration (ETo) was calculated using the Modified Penman Method. Both rainfall (P) and ETo data were used as inputs for the F.J. Mock model to simulate monthly discharge (Qmodel), which was then analyzed using a Flow Duration Curve (FDC) with the Weibull formula. The results successfully identified the dependable flow values: Q70 = 0.65 m³/s, Q80 = 0.19 m³/s, and Q90 = 0.07 m³/s. This study concludes that the integration of GEE for data acquisition and the F.J. Mock model for hydrological simulation provides an effective, efficient, and technology-based alternative to overcome conventional data limitations in water resource planning.
References
[1] United Nations, “Interactive dialogue 2: Water for sustainable development: valuing water, water-energy-food nexus and sustainable economic and urban development (Sustainable Development Goal targets 6.3, 6.4 and 6.5 and Goals 2, 8, 9, 11 and 12),” United Nations, New York, 2023.
[2] Fakhrurrazi, H. F. Agoes, and D. Anggeriyani, “Review of Dependable Flow for Irrigation in River Tabuk District, Banjar Regency,” JURNAL GRADASI TEKNIK SIPIL, vol. 2, pp. 33-43, 2018.
[3] D. Mayasari, “Statistical Analysis of Flood Discharge and Dependable Flow of Komering River South Sumatra,” JURNAL FORUM MEKANIKA, vol. 6, pp. 88-98, 2017.
[4] N. Zahrani, E. Suhartanto, and U. Andawayanti, “Application of the NRECA Method for Discharge Estimation Using CHIRPS Rainfall Data in Rejoso Watershed,” Jurnal Teknologi dan Rekayasa Sumber Daya Air, vol. 5, pp. 1229-1240, 2025.
[5] M. R. Jauhari, E. Suhartanto, and R. D. Lufira, “Conversion of Rainfall into Discharge Using FJ Mock Method with GPM Satellite Rainfall Data in the Gembong Watershed Pasuruan Regency,” Jurnal Teknologi dan Rekayasa Sumber Daya Air, vol. 5, pp. 855-866, 2025.
[6] I. S. D. Sebayang and M. Fahmi, “Dependable Flow Modeling in Upper Basin Citarum Using Multilayer Perceptron Backpropagation,” International Journal of Artificial Intelegence Research, vol. 4, pp. 75-85, 2020.
[7] F. Ramadhani, “Dependable Flow and Flood Control Performance of Logung Dam, Central Java Province, Indonesia,” “Journal of the Civil Engineering Forum, vol. 3, pp. 73-81, 2017.
[8] R. Yanidar, D. M. Hartono, and S. S. Moersidik, “Water Availability for a Self-Sufficient Water Supply: A Case Study of the Pesanggrahan River, DKI Jakarta, Indonesia,” Advances in Science, Technology and Engineering Systems Journal, vol. 5, pp. 348-355, 2020.
[9] S. F. Soerya, C. Asdak, D. R. Kendarto, T. Yan, and A. Riyadi, “F.J Mock Method for Hydrological Model in Water Reliability Study in Leuwi Padjadjaran II Reservoir,” Journal of Advanced Zoology, vol. 44, pp. 884-893, 2023.
[10] C. López-Bermeo, R. D. Montoya, F. J. Caro-Lopera, and J. A. Díaz-García, “Validation of the accuracy of the CHIRPS precipitation dataset at representing climate variability in a tropical mountainous region of South America,” Physics and Chemistry of the Earth, vol. 127, p. 103184, 2022.
[11] Ministry of Public Works, Irrigation Planning Standards Planning Criteria for Irrigation Network Planning Section KP-01. Jakarta: Ministry of Public Works Directorate General of Water Resources Directorate of Irrigation and Swamps, 2013.
