Job Detail
9b82e629-2a4b-4d2d-99c1-986e212e3d17
Status
Completed
Location Info
Coordinate and address details for the analysis location
Location Name
Muktiharjo Kidul
Coordinates
-6.973054, 110.462595
Description
RW 01, Muktiharjo Kidul, Pedurungan, Kota Semarang, Jawa Tengah, Jawa, Indonesia
Analysis Period
Date range used for hydrological data processing
Start Date
01 January 2016
End Date
31 January 2026
Duration
3684 days
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Analysis Location
Muktiharjo Kidul
Map Layers
4 Data Sources
Buffer Area
10 km radius
📊 Data Sources
- HydroSHEDS - Flow Accumulation
- JRC Global Surface Water
- SRTM DEM - Elevation
- OpenStreetMap - Basemap
🗺️ Map Features
- River network visualization
- Water occurrence overlay
- Topography (DEM)
- Interactive layer control
Tip: Use the layer control in the top-right corner of the map to toggle layers on/off. Zoom in for more detail. Click the marker for analysis location info.
Generated Files
Total 23 file
🗺️ Interactive River Network Map
Interactive map with zoom, layer toggle, and river flow information. Open in browser for detailed exploration.
RIVANA Main Dashboard
Main dashboard showing hydrological analysis results using Machine Learning
RIVANA Complete Dashboard
Complete dashboard with predictions, risk analysis, and recommendations
🌊 TWI Analysis Dashboard (Flood Zones & RTH)
Topographic Wetness Index analysis: flood-prone zones, RTH (green open space), and drainage recommendations
Water Balance Dashboard
Water balance visualization: input vs output, hydrological components
Morphometry Summary
Watershed morphometric parameters: area, shape, slope, drainage
Morphology & Ecology Dashboard
River geomorphological condition and aquatic ecosystem health
ML vs Traditional Comparison
Accuracy comparison between Machine Learning model and traditional methods
📷 River Network Map (Image)
Static visualization of river network with flow accumulation and topography. Suitable for reports and presentations.
Complete Simulation Results
Complete time series data: rainfall, temperature, ET, discharge, reservoir level, supply-demand
Monthly Water Balance
Monthly summary: precipitation, evapotranspiration, infiltration, runoff, storage
30-Day Forecast Data
30-day rainfall and reservoir level forecast from ML model
Raw Satellite Data (GEE)
Raw data from Google Earth Engine: rainfall, temperature, soil moisture, NDVI, evapotranspiration
Water Balance Indices
Calculated water balance indices derived from the simulation results
Complete Model Validation
Model validation metrics: NSE, R², PBIAS, RMSE for all parameters
Baseline Comparison
ML vs traditional method performance comparison (NRECA, SCS-CN)
🏗️ Dam Construction Cost Estimate
Estimated dam construction cost: minimum/moderate/maximum HPS, RAB components, and work schedule (LPSE PUPR benchmark)
🌊 TWI Analysis, Flood Zones & Drainage
Detailed TWI analysis: flood zone coordinates, RTH recommendations, and drainage planning
Water Balance Validation
Water balance validation with maximum 5% error tolerance
Model Validation Report
Complete validation report with interpretation and recommendations
📊 River Map Metadata
Complete map metadata: coordinates, flow characteristics, water statistics, and satellite data sources.
GEE Data Source & Statistics
Google Earth Engine data sources and statistics used in the analysis