Flood and risk forecasting using innovative tools. X. Llort, R. Sánchez-Diezma
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1 Flood and risk forecasting using innovative tools X. Llort, R. Sánchez-Diezma
2 EWS Data Weather Radar Data NWP Data Raingauges Sensors Aditional Data Autoprotection Plans. Protocols. Impact: costs, etc. Parametrizations. User profiles.... background information users information
3 EWS Weather Radar Data NWP Data Data Raingauges Sensors Aditional Data background information users information Processing Data Adquisition System RAW DB Data processing Radar Raingauges... PRODUCTS DB Hydrometeorological Products Acumulations Radar Nowcasting Combination... Warnings processing Hydraulic/ Hydrological Model Monitoring System Clients Disemination Viewer processing and Warning sender
4 Weather Radar Data NWP Data Raingauges Sensors Traditional implementation Cloud / Service Weather Radar Data NWP Data Raingauges Sensors
5 Weather Radar Data Advantages Cloud / NWP Data Service: Acces from any device conneted to internet. Cost reducction. Raingauges Sensors Traditional implementation Automatic service updating. Reachable to small clients. Rapid implementations. Cloud / Service Weather Radar Data NWP Data Raingauges Sensors
6
7 FloodAlert: EWS for Urban Floods Based on radar rainfall estimations and short term radar-nowcasting Nowcasting Technique (2h forecast) Past Future
8 FloodAlert: EWS for Urban Floods
9 FloodAlert: EWS for Urban Floods
10 FloodAlert: EWS for Urban Floods
11 FloodAlert: EWS for Urban Floods Past Future Raw: Calibration Quality Control Radar Nowcasting (2h) Instantaneous: Acc. Acc. Acc. Acc. 30 min accumulations: Max Max Temporal Maxs:
12 FloodAlert: EWS for Urban Floods Areas over the thresholds in the following 1/2 hours Feedback on locations of interest
13 FloodAlert: EWS for Urban Floods Current time Past Future
14 FloodAlert: EWS for Urban Floods Warnings related with exceeding user-defined thresholds
15 FloodAlert: EWS for Urban Floods Intelligent area PAC-MAN : 3 Different radious (influence areas) Depends on precipitation direction Depends on precipitation velocity Considered Parabolas km/h Y Coordinates X Coordinates
16 FloodAlert: EWS for Mail Urban and Floods SMS warnings acording to user-defined profiles Web-viewer Warnings in case of no availability and when service recovers
17 FloodAlert: EWS for Urban Floods
18 FloodAlert: EWS for Urban Floods
19 FloodAlert: EWS for Urban Floods
20 FloodAlert: EWS for Urban Floods corfu.dev.hyds.es Link of real time systems with off-line hazard maps Dinamicaly linked acording to return periods All maps can be explored
21 FloodAlert: Success Case October 29 th, 2013 Mallorca
22 FloodAlert: Success Case October 29 th, 2013 Mallorca
23 14:25h: ~60 min before...
24 FloodAlert: Success Case 14:00h: ~90 min before... 14:25h: ~60 min before... 15:30h: ~0 min before...
25 FloodAlert: Success Case 14:00h: ~110 min before...
26 FloodAlert: Success Case 14:30h: ~70 min before...
27 FloodAlert: Success Case 14:50h: ~50 min before...
28 FloodAlert: Success Case 15:00h: ~40 min before...
29 FloodAlert: Success Case 15:10h: ~20 min before...
30 FloodAlert: Success Case After the storm...
31 Link with hydraulic/hydrological model: HidroMet Past Future Raw: Calibration Radar Nowcasting (2h) Instantaneous: User data Raingauges Levels... Hydraulic/hydrological model Hidromet Web interface
32 EWS Weather Radar Data NWP Data Data Raingauges Sensors Aditional Data background information users information Processing Data Adquisition System RAW DB Data processing Radar Raingauges... PRODUCTS DB Hydrometeorological Products Acumulations Radar Nowcasting Combination... Warnings processing Hydraulic/ Hydrological Model Monitoring System Clients Disemination Viewer processing and Warning sender
33 HidroMet: Hydraulic model Radar Pixel associated Radar rainfall Juctions, storage units Capacity (%) Discharge (m!/s) Level (m) Conduits, pumps,... Capacity (%) Discharge (m!/s)
34 Implementations: La Laguna
35 Flood and risk forecasting using innovative tools X. Llort, R. Sánchez-Diezma
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