Job Detail
4fa71130-b765-4f62-b130-3e42482b2d1d
Status
Completed
Location Info
Coordinate and address details for the analysis location
Location Name
Tlogosari Kulon
Coordinates
-6.983468, 110.459783
Description
RW 13, Tlogosari Kulon, Pedurungan, Semarang, Central Java, Java, Indonesia
Analysis Period
Date range used for hydrological data processing
Start Date
10 January 2015
End Date
10 January 2026
Duration
4019 days
ANALYSIS SUMMARY
Structured Summary
Job Info
Input Parameters
Data Statistics
Rainfall
Retention Pond Volume
System Reliability
Analysis Results
Output Components
Input Components
River Morphology
Soil Storage Condition
Water Balance
Data Quality
Available Files:
Management Recommendations (1)
Build flood early warning system and increase drainage capacity in high-risk zones.
WATER DISTRIBUTION & PRIORITY
WATER SOURCES
WATER QUALITY
RIVER & ENVIRONMENT CONDITION
📊 SYSTEM CONDITIONS SUMMARY
🌊 Flood Risk & Water Ponding Analysis
What is TWI? Topographic Wetness Index (TWI) is an index that measures how easily water accumulates in a location based on topography/terrain. The higher the TWI value, the greater the likelihood that the area will be flooded or waterlogged during rain.
Your Location Risk Status
🚨 Detected Flood Prone Areas
Our Machine Learning system found 3 zones zones potentially prone to flooding during heavy rain.
📍 Flood Zone Location Details
🌳 Green Open Space (RTH) Recommendations
To reduce flood risk, the Machine Learning system recommends creating 1 Recommended Locations such as parks, urban forests, or water absorption areas.
📍 Recommended Locations
Intercept upstream runoff before reaching flood zones
🚰 Drainage System Recommendations
To control water flow and prevent ponding, the system recommends building 4 drainage channels at strategic locations.
📍 Drainage Location Details
🔧 Technical Specifications
✨ Expected Benefits
🔧 Maintenance Requirements
- High TWI (23.2) indicates severe water accumulation
- Multiple flood zones (3) require comprehensive drainage
- Strategic placement for optimal flood mitigation
🔧 Technical Specifications
✨ Expected Benefits
🔧 Maintenance Requirements
- High TWI (23.2) indicates severe water accumulation
- Multiple flood zones (3) require comprehensive drainage
- Strategic placement for optimal flood mitigation
🔧 Technical Specifications
✨ Expected Benefits
🔧 Maintenance Requirements
- High TWI (23.2) indicates severe water accumulation
- Multiple flood zones (3) require comprehensive drainage
- Strategic placement for optimal flood mitigation
🔧 Technical Specifications
✨ Expected Benefits
🔧 Maintenance Requirements
- High TWI (23.2) indicates severe water accumulation
- Multiple flood zones (3) require comprehensive drainage
- Strategic placement for optimal flood mitigation
⚡ Required Actions
Implement drainage systems and green spaces to reduce flood risk.
-
1.
Main Priority: Immediately review and give special attention to 3 detected high risk zones
-
2.
Drainage Construction: build 4 high priority drainage channels to channel rainwater
-
4.
Medium Term Plan: build 1 additional RTH locations within 1-2 years
-
5.
Regular Monitoring: Conduct routine monitoring during rainy season for early anticipation
-
6.
Coordination: Involve Public Works Department and community in solution implementation
📅 30-Day Rainfall Forecast
Rainfall Forecast
Retention Pond
Reliability
Normal rainfall predicted. Water system operational conditions are expected to be stable.
📋 Management Suggestions
1. Retention pond volume is low (20-50%). Monitor water usage and prepare to activate additional sources.
2. System reliability is good (>85%). Maintain regular maintenance schedule.
🔧 Improvement Suggestions
Soil Conservation
Medium PriorityProblem: Low soil moisture (5.86 mm)
- Build infiltration wells
- Rainwater harvesting system
- Apply mulching to retain moisture
Flood Mitigation
High PriorityProblem: High flood risk (61.8%)
- Increase drainage system capacity
- Build flood detention ponds
- Optimize spillway operations
- Flood early warning system
PERENCANAAN PEMBANGUNAN BENDUNGAN
Not available for this job
🌊 Interactive River Network Map NEW
River network visualization with interactive layers
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Analysis Location
Tlogosari Kulon
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 21 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
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
RIVANA_Hasil_Simulasi.csv
Complete Model Validation
Model validation metrics: NSE, R², PBIAS, RMSE for all parameters
Baseline Comparison
ML vs traditional method performance comparison (NRECA, SCS-CN)
🌊 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
GEE Data Source & Statistics
Google Earth Engine data sources and statistics used in the analysis
📊 River Map Metadata
Complete map metadata: coordinates, flow characteristics, water statistics, and satellite data sources.