🏔️
🇮🇳
🌊
⛰️
🧊
📡
🚒
📦
🏥
HAZARD:
🌊 Flood
⛰️ Landslide
🧊 GLOF
🌧️ Rainfall
⚡ Lightning
🌡️ Heat
📦 Deploy Resources
✕
Click a district
Risk Level
Critical
High
Moderate
Low
🔴 Active Alerts 7 ACTIVE
📊 Impact Summary — 72h Window
2.1L
Population at Risk
84
Infra Assets Exposed
₹420Cr
Economic Loss Est.
14
Teams Deployed
🤖 AI Operational Suggestions
⚡ Priority Action
Beas River at Pandoh exceeds danger mark.
Pre-position 2 NDRF teams at Mandi within 2h. 48 villages
in flood path — trigger SOP-F-01.
🚁 Resource Gap
No rescue boats available in Kullu
district. Nearest: Mandi (42km). Request immediate
transfer or requisition from PWD.
⚡ Quick Actions
Active AlertsCRITICAL
7
3 Red · 2 Orange · 2 Yellow
Population at Risk72h
2.1L
6 districts · flood+landslide
Rainfall PeakLIVE
187mm
Mandi 24h · 4× normal
Teams DeployedACTIVE
14
SDRF:8 · NDRF:4 · Police:2
📈 7-Day Forecast Risk Trend
⚠️ Hazard Status
🔴 Active Alerts
📋 Recent Events
📦 Resource Availability
Disaster Management
Value Chain
End-to-end cycle: from raw observation data to alert
generation, response, assessment, feedback and system improvement
1
Data Acquisition
Multi-source observation: sensors, satellites, models, drones, crowdsourcing
AWS · Rain Gauges · River Gauges
Sentinel-1/2 · INSAT-3D · GPM
NWP: ECMWF · IMD · WRF-3km
Drone feeds · Crowdsource
→
2
Risk Understanding
Threshold analysis, hazard modelling, exposure & vulnerability assessment
Threshold monitoring per hazard
Flood inundation (HEC-RAS)
Landslide susceptibility (TRIGRS)
Exposure: pop., infra., assets
→
3
Alert Generation
IBF-based alert drafting, validation, CAP issuance and multi-channel dissemination
IBF scoring → draft CAP alert
SEOC review & SDMA approval
SMS · IVR · Radio · App · Sirens
Last-mile: community leaders
→
4
Response & Mobilisation
ICS activation, SOP triggering, resource deployment, evacuation management
Activate IC from State → Village
NDRF/SDRF team dispatch
Evacuate identified communities
Resource tracking & logistics
→
5
Relief & Recovery
Search & rescue, medical care, shelter, food, livelihood restoration
SAR operations coordination
Medical camps · triage
Relief camps · food & shelter
Livelihood & infrastructure repair
→
6
Post-Disaster Assessment
Damage & loss quantification, PDNA, socio-economic impact, infrastructure survey
PDNA: sector-wise loss assessment
Satellite damage mapping
Field teams: village-level survey
Recovery needs prioritisation
→
7
Learning & Improvement
EWS audit, performance metrics, AI-generated improvement suggestions, threshold
updates
Alert accuracy & lead time audit
Community feedback integration
AI: threshold & channel updates
Sendai KPI tracking → next cycle
🔗 Information Flow at Each Stage
| Stage | Input | Output | Responsible |
|---|---|---|---|
| 1 Data | Sensors, satellites, NWP | QC'd data streams | IMD / NIC / CWC |
| 2 Risk | Data streams + risk models | Hazard probability maps | HPSDMA Forecast Cell |
| 3 Alert | Risk scores + IBF thresholds | CAP messages | SEOC Duty Manager |
| 4 Response | Alert + SOP triggers | Teams deployed | IC / SDRF / NDRF |
| 5 Relief | Field reports + needs | Camps · SAR · medical | Revenue / Health Dept |
| 6 PDNA | Field + satellite survey | Damage & loss report | State Revenue + WB |
| 7 Learn | PDNA + alert performance | Updated thresholds + AI recs | HPSDMA EWS Unit |
📊 Current Cycle Status
1
Data
2
Risk
3
Alert
4
Response
5
Relief
6
PDNA
7
● Stage 4 Active:
Response & Mobilisation — Beas Flood Event
04:30
Stage 1 ✅ — All 340 sensors nominal, ECMWF update ingested
05:45
Stage 2 ✅ — Flood risk probability 82%, threshold exceeded Mandi
06:10
Stage 3 ✅ — Red Alert issued: 5 districts, 1.8L population SMS sent
08:14
Stage 4 🟠 — SOP-F-01 active, 14 teams deployed,
evacuation underway
—
Stage 5 ⏳ Relief camps preparation triggered — standby
🛡️ DRR Preparedness Indicators
📚 Post-Disaster Assessment (PDNA)
| Sector | Damage ₹Cr | Loss ₹Cr | Status |
|---|---|---|---|
| Housing | 180 | 40 | ONGOING |
| Agriculture | 95 | 210 | PARTIAL |
| Infrastructure | 340 | 60 | NOT STARTED |
| Health | 28 | 15 | COMPLETE |
| Livelihoods | 12 | 120 | PARTIAL |
🔄 Feedback & Learning Loop
Observation
34 field incident reports received from DEOC officers
Analysis
AI flagged 3 threshold anomalies requiring calibration
Action
Mandi flood threshold revised: 80mm → 95mm (approved)
Outcome
False alarm rate reduced 22%→18% over 30 days
Available Resources
Deployed
Request / Requisition
Track Assets
All
🚤 Boats
🚗 Vehicles
🏥 Medical
⚙️ Equipment
🍱 Relief
📡 Comms
🚤 Rescue Boats12
Available
🚑 Medical Teams & Ambulances8 Available
⚙️ Heavy Equipment6
Available
🍱 Relief Stocks (District-wise)
| District | Food Pkts | Blankets | Tents | Water(L) | Status |
|---|---|---|---|---|---|
| Mandi | 2,400 | 800 | 120 | 45,000 | LOW |
| Kullu | 5,200 | 1,400 | 210 | 82,000 | MODERATE |
| Kangra | 8,600 | 2,100 | 340 | 140,000 | ADEQUATE |
| Shimla | 6,800 | 1,800 | 280 | 110,000 | ADEQUATE |
| Chamba | 3,100 | 900 | 150 | 55,000 | MODERATE |
📍 Resource Gap Analysis (AI)
⚠️ Critical Gap — Mandi District
Food packets at 2,400 — insufficient
for 48 at-risk villages (est. need: 8,000). Recommend immediate
transfer from Kangra (42km · 3h).
🚤 Rescue Boat Gap — Kullu
No rescue boats in Kullu DEOC. Nearest:
Mandi (2 boats, 42km). Suggest requisitioning HPPWD inflatable
rafts.
🚒 First Responders, Volunteers & NDRF — Himachal Pradesh
NDRF / SDRF Teams
District First Responders
Community Volunteers & Sarapanch
Incident Level
L3
State Emergency Declared
SEOC Status
ACTIVE
24/7 full activation
IC Activated
Yes
Chief Secy. HP as IC
SOPs Triggered
6
4 active · 2 standby
🏛️ Full ICS Activation Chain — State to Gram Panchayat Level
🏛️ Incident Commander
Chief Secretary, HPSDMA
Chief Secretary, HPSDMA
📢 Public Info Officer
DG, HPSDMA
DG, HPSDMA
🔐 Safety Officer
ADG Police HP
ADG Police HP
🤝 Liaison Officer
Secy. Revenue Dept
Secy. Revenue Dept
⚙️ Operations Section
Inspector General, SDRF
Inspector General, SDRF
Search & Rescue
SDRF Bn Comd.
SDRF Bn Comd.
Evacuation
Revenue Officer
Revenue Officer
Medical
CMO HP
CMO HP
NDRF Liaison
NDRF 14BN
NDRF 14BN
📋 Planning Section
Director, HPSDMA
Director, HPSDMA
Situation Unit
SEOC DSS Team
SEOC DSS Team
Resources Unit
Logistics Officer
Logistics Officer
Tech Forecast
IMD Shimla
IMD Shimla
📦 Logistics Section
Additional Chief Secy.
Additional Chief Secy.
Supply
PWD HP
PWD HP
Comms
NIC HP
NIC HP
💰 Finance Section
Finance Secretary HP
Finance Secretary HP
District Level (DDMA / DEOC)
🏢 Mandi DEOC
DC Mandi (IAS)
DC Mandi (IAS)
🏢 Kullu DEOC
DC Kullu (IAS)
DC Kullu (IAS)
🏢 Kangra DEOC
DC Kangra (IAS)
DC Kangra (IAS)
🏢 Chamba DEOC
DC Chamba (IAS)
DC Chamba (IAS)
🏢 Shimla DEOC
DC Shimla (IAS)
DC Shimla (IAS)
Block Level (SDM / BDO)
Mandi Sadar
SDM Mandi
SDM Mandi
Sundernagar
SDM Sundernagar
SDM Sundernagar
Aut
SDM Aut
SDM Aut
Bhuntar
SDM Bhuntar
SDM Bhuntar
Banjar
SDM Banjar
SDM Banjar
Village / Gram Panchayat Level
Gram Sarapanch
Balichowki GP
Sh. Ram Lal (📞9816xxxxx)
Balichowki GP
Sh. Ram Lal (📞9816xxxxx)
Gram Sarapanch
Sarkaghat GP
Smt. Kamla Devi (📞9817xxxxx)
Sarkaghat GP
Smt. Kamla Devi (📞9817xxxxx)
CDMC Lead
Aut Village
Sh. Suresh K. (📞9816xxxxx)
Aut Village
Sh. Suresh K. (📞9816xxxxx)
CDMC Lead
Pandoh Village
Sh. Mohan Das (📞9815xxxxx)
Pandoh Village
Sh. Mohan Das (📞9815xxxxx)
AWW / ASHA
Health Focal
Smt. Parvati (📞9817xxxxx)
Health Focal
Smt. Parvati (📞9817xxxxx)
Home Guard
Mandi Block
HC Rajesh (📞98180xxxxx)
Mandi Block
HC Rajesh (📞98180xxxxx)
📋 SOP Trigger Status
| SOP ID | Hazard | Trigger Condition | Status | Responsible | Deadline | Action |
|---|---|---|---|---|---|---|
| SOP-F-01 | Flood | River > 85% danger mark | ACTIVE | SDRF Kullu + Mandi | 11:00 | |
| SOP-L-02 | Landslide | Rainfall > 40mm/3h | ACTIVE | DEOC Mandi | 12:00 | |
| SOP-E-01 | Evacuation | Red Alert issued | IN PROGRESS | Revenue Kullu | 14:00 | |
| SOP-H-03 | Health | Mass casualty trigger | STANDBY | CMO Mandi | — | |
| SOP-G-01 | GLOF | Lake vol. Δ > +15% | MONITOR | CWC + HPSDMA | — | |
| SOP-C-02 | Comms Backup | Network outage >30min | MONITOR | NIC HP | — |
AWS Network
218
97% uptime · 8 offline
Satellite Feeds
4
Sentinel-1/2 · INSAT-3D · GPM
River Stations
38
3 above danger mark
Drone Feeds Active
2
Lahaul · Mandi active
📊 Rainfall — 24h by District
🌊 River Level Status
📡 Data Source Integration
| Source | Type | Freq | Coverage | Latency | Status | Action |
|---|
Max Temp (°C)
28.4
Shimla · 3h average
Wind Speed
42 km/h
Kullu · gusting 65
CAPE Index
1820
J/kg · lightning watch
Forecast Skill
87%
ECMWF ensemble
🌡️ Temperature — 72h
🌧️ Rainfall Probability — 72h
⚡ Hazard Probability Thresholds
🌊 FloodWARNING
Beas River: 14.2m (danger 12m) · HEC-RAS: 2,340ha inundated
· 48 villages at risk
⛰️ LandslideELEVATED
TRIGRS: 72% susceptibility Mandi · NH3 3 zones active ·
soil 78% saturation
🧊 GLOFWATCH
Chandratal: +8% volume (threshold 15%) · Sentinel-1
monitoring 6h cycle
🌧️ Extreme RainfallWARNING
187mm/24h Mandi · 4× normal · Flash Flood Guidance exceeded
⚡ LightningELEVATED
CAPE 1820 J/kg · Advisory Shimla hills · CLDN active
🌾 DroughtNORMAL
SPI-3: -0.4 (normal) · NDVI green · Reservoirs 68% capacity
🌡️ HeatwaveNORMAL
Max 28.4°C Shimla · No advisory · Una monitoring ongoing
❄️ Frost/AvalancheWATCH
SASE watch Rohtang · Snow depth 42cm · Wind slab risk
moderate
🌊 Flood Inundation — Beas River
🗺️ NWP Model Comparison
| Model | Res | Rain 24h | Skill | Status |
|---|---|---|---|---|
| ECMWF-IFS | 9km | 62.4mm | 0.82 | ACTIVE |
| IMD-NCMRWF | 12km | 58.1mm | 0.76 | ACTIVE |
| WRF-HP 3km | 3km | 71.3mm | 0.79 | ACTIVE |
| CBAM-Hydro | 0.5km | 74.8mm | 0.83 | BETA |
Population at Risk72h
2.1L
Critical Infra
84
Roads:62 · Hosp:8 · Schools:14
Economic Loss Est.
₹420Cr
Livestock at Risk
18,400
🏥 Infrastructure Exposure by Type
💰 Socioeconomic Loss Breakdown
Alerts (24h)
23
Red Alerts
3
Reach
1.8L
Pending Validation
2
🔔 Generate CAP Alert
Hazard Type
Severity
ADVISORY
WATCH
WARNING
EMERGENCY
Affected Districts
Message
Channels
📋 Alert Log
| Time | Hazard | Level | Reach | Status |
|---|---|---|---|---|
| 08:14 | Flood | RED | 68,000 | SENT |
| 07:32 | Landslide | ORANGE | 42,000 | SENT |
| 06:10 | Heavy Rain | RED | 1.2L | SENT |
| 05:55 | Lightning | YELLOW | 28,000 | VALIDATING |
| 04:30 | GLOF Watch | YELLOW | 12,000 | SENT |
🔬 Scenario Builder
Hazard
Return Period
Rainfall (mm/24h)
50mm187mm400mm
Climate Change
📊 Results
Configure and run a scenario
Alert Accuracy (30d)
74%
False Alarm Rate
18%
Avg Lead Time
5.2h
Field Reports
38
Last 30 days
🤖 AI Improvement SuggestionsAuto-generated
✨ Threshold Adjustment — Mandi Flood
Current 80mm/3h threshold produces 22%
false alarms. Recommend 95mm/3h — reduces false alarms
60% while maintaining 94% hit rate.
✨ Lead Time — Geoglows Integration
Adding Geoglows streamflow can extend
flood lead time from 5.2h to 8–10h for downstream Mandi.
✨ Last Mile — Lahaul-Spiti
7 villages had <30% SMS receipt.
Switch to IVR + community radio as primary channel.
📝 Incident Report & Feedback
Report Type
Location
Description
📎 Attach photo / video / document
👥 User Management
| Name | Role | Dept | Status | MFA |
|---|---|---|---|---|
| Arun Kumar | SEOC Director | HPSDMA | Active | ✅ |
| Priya Sharma | Forecaster | IMD Shimla | Active | ✅ |
| Rajesh Verma | DEOC Officer | Mandi DEOC | Active | ❌ |
| Mohan Das | Alert Admin | HPSDMA | Active | ✅ |
🔐 Role Permissions
| Module | Director | Forecaster | DEOC | Viewer |
|---|---|---|---|---|
| Ops Dashboard | ✅ | ✅ | ✅ | ✅ |
| Alert Issue | ✅ Full | ✅ Draft | ⚠️ Local | ❌ |
| ICS Activate | ✅ | ❌ | ⚠️ District | ❌ |
| Resource Deploy | ✅ | ❌ | ✅ District | ❌ |
| Scenario Build | ✅ | ✅ | 👁️ View | ❌ |
| RBAC Admin | ✅ | ❌ | ❌ | ❌ |