Data and code for: risk-informed micro-hydropower (PLTMH) siting along a single river reach, southern slope of Mount Slamet, Indonesia
This deposit contains the derived datasets and the complete analysis code supporting the manuscript "Hybrid Physics–Machine Learning for Risk-Informed Micro-Hydropower Site Selection on Volcanic Terrain: A Mount Slamet (Indonesia) Case Study" (under review, 2026). Three candidate micro-hydropower (PLTMH) intake points on the southern slope of Mount Slamet, Kabupaten Banyumas, Central Java, Indonesia — each nominated by a different administrative village — were evaluated for power potential and installation risk. Terrain analysis using a two-tile DEMNAS mosaic and a WhiteboxTools hydrological pipeline showed that the three points are not independent catchments: they lie sequentially along a single, hydrologically connected river reach about 2.5 km apart, with strictly nested (cumulative) contributing areas of 25.9–29.8 km². Design discharge, effective head and power were therefore computed on cumulative catchments, giving median power outputs of 434–529 kW. The hazard component was fitted from 18 years of national disaster-agency (BNPB/DIBI) event records together with CHIRPS satellite rainfall. A monthly count model was found to carry no genuine out-of-sample skill once validated temporally rather than by randomly shuffled folds; a daily occurrence model driven by rainfall-intensity and antecedent-wetness predictors attains ROC-AUC 0.71–0.74 under forward-chaining validation and reproduces the observed annual rate of impactful events to within 4%. Its calibrated output feeds both a monthly installation-window indicator (safe window: May–September) and the Occurrence ratings of a Failure Mode and Effects Analysis, which together with power output determine a composite installability score under five heuristic weighting schemes and one objective Shannon-entropy weighting. Contents: derived cumulative catchment boundaries and extracted stream network (GeoPackage, EPSG:32749); extracted rainfall and estimated discharge, head and power series; daily hazard model outputs; the FMEA table; composite installability scores; and 19 analysis scripts covering the full pipeline from DEM pre-processing to figure generation. The superseded monthly hazard model outputs are retained so that the negative validation result reported in the manuscript can be independently verified. Raw third-party source data are not redistributed here, for licensing and size reasons (the raw CHIRPS archive alone is ~30 GB): DEMNAS (Badan Informasi Geospasial), CHIRPS v2.0 (Climate Hazards Center, UC Santa Barbara) and DIBI (BNPB). See README.md for download locations, full file descriptions, run order, software environment and known limitations. Derived data are released under CC BY 4.0; code under the MIT licence.