Job Detail
Completed
Done!
Location Info
Location Name
Sriwulan
Coordinates
-6.943039, 110.493386
Description
Pondok Raden Patah 2, Sriwulan, Demak, Jawa Tengah, Jawa, 50117, Indonesia
Analysis Period
Start Date
01 January 2015
End Date
31 December 2015
Duration
365 days
📊 ANALYSIS SUMMARY
Structured SummaryJob Info
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 (3)
Conduct infrastructure audit and repair components that reduce water distribution system reliability.
Implement water conservation programs and identify alternative water sources to reduce deficit.
Build flood early warning system and increase drainage capacity in high-risk zones.
WATER DISTRIBUTION & PRIORITY
WATER SOURCES
COST & BENEFIT
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 0 Recommended Locations such as parks, urban forests, or water absorption areas.
🚰 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 (23.6) indicates severe water accumulation
- Multiple flood zones (3) require comprehensive drainage
- Flat terrain (1.4°) requires artificial drainage
- Strategic placement for optimal flood mitigation
🔧 Technical Specifications
✨ Expected Benefits
🔧 Maintenance Requirements
- High TWI (23.6) indicates severe water accumulation
- Multiple flood zones (3) require comprehensive drainage
- Flat terrain (1.4°) requires artificial drainage
- Strategic placement for optimal flood mitigation
🔧 Technical Specifications
✨ Expected Benefits
🔧 Maintenance Requirements
- High TWI (23.6) indicates severe water accumulation
- Multiple flood zones (3) require comprehensive drainage
- Flat terrain (1.4°) requires artificial drainage
- Strategic placement for optimal flood mitigation
🔧 Technical Specifications
✨ Expected Benefits
🔧 Maintenance Requirements
- High TWI (23.6) indicates severe water accumulation
- Multiple flood zones (3) require comprehensive drainage
- Flat terrain (1.4°) requires artificial 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
-
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
Low rainfall predicted. Watch for drought risk and manage water reserves wisely.
📋 Management Suggestions
1. Retention pond volume is critical (<20%). Reduce water distribution immediately and activate backup sources.
2. System reliability is low (<70%). Infrastructure audit and immediate repairs are needed.
🔧 Improvement Suggestions
Soil Conservation
Medium PriorityProblem: Low soil moisture (6.56 mm)
- Build infiltration wells
- Rainwater harvesting system
- Apply mulching to retain moisture
Retention Pond Capacity
High PriorityProblem: Retention pond volume is critical (3.17 mm)
- Evaluate storage capacity and expansion potential
- Optimize water distribution schedule
- Implement water demand management
- Identify alternative water sources
Flood Mitigation
High PriorityProblem: High flood risk (47.4%)
- Increase drainage system capacity
- Build flood detention ponds
- Optimize spillway operations
- Flood early warning system
Infrastructure
Medium PriorityProblem: Low system reliability (58.4%)
- Comprehensive water distribution infrastructure audit
- Repair pipe and channel leaks
- Upgrade pumps and distribution equipment
- Implement SCADA system for real-time monitoring
🌊 Interactive River Network Map NEW
River network visualization with interactive layers
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Analysis Location
Sriwulan
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
RIVANA_Peta_Aliran_Sungai.html
RIVANA Main Dashboard
Main dashboard showing hydrological analysis results using Machine Learning
RIVANA Complete Dashboard
Complete dashboard with predictions, risk analysis, and recommendations
RIVANA_TWI_Dashboard.png
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
GEE_Raw_Data.csv
RIVANA_WaterBalance_Indices.csv
RIVANA_Hasil_Simulasi.csv
Complete Model Validation
Model validation metrics: NSE, R², PBIAS, RMSE for all parameters
RIVANA_Baseline_Comparison.json
RIVANA_TWI_Analysis.json
Water Balance Validation
Water balance validation with maximum 5% error tolerance
RIVANA_Model_Validation_Report.json
GEE_Data_Metadata.json
RIVANA_Metadata_Peta.json
Timeline
Created
13 Mar 2026, 06:56
Submitted
13 Mar 2026, 06:56
Processing Started
13 Mar 2026, 06:57
Finished
13 Mar 2026, 07:03