The LGUs validation activity was monitored by the DILG-NCR. The ground validations of SOS were conducted in 2019 by the concerned local government units of Metro Manila with the technical assistance of NAMRIA. The SOS were also divided into 4 quadrants: North, South, East and West, taking into considerations a scenario predicted by the MMEIRS study which indicates that Metro Manila could be split into 4 parts due to collapses of main bridges and liquefaction hazards. The SOS were categorized according to area: Small (200 - 500 sqm), Medium (>500 - 5,000 sqm) and Large (> 5,000 sqm). In addition to providing several live sources of current Earthquake information, an Atlas database is also included. The Atlas database shows over 4000 years of Historic Earthquake information. The remaining open spaces without the said hazards are identified as the Safe Open Spaces (SOS). This database (updated periodically) is built-in to Earthquake 3D and is available even when you are off-line. The Open Spaces were assessed by PHIVOLCS from Earthquake-related hazards such as not transected by the Valley Fault System, no Tsunami, no Liquefaction and no Earthquake-Induced Landslides. The Open Spaces with areas minimum of 200 sqm were extracted and checked with the recent imageries. The buffered buildings were overlaid to Land Use, and the Open Spaces were determined outside the buffered areas. The buildings were buffered by its height multiplied by 1.5. The buildings were generated using the LiDAR Digital Terrain Model (DTM) and Digital Surface Model (DSM). The Open Spaces were checked using WorldView-3 (2017, NAMRIA), WorldView-4 (2018, DOST-ASTI) and Google recent imagery. The NAMRIA generated the Open Spaces (for NCR) using the following criteria:ģ) Located outside the radius of 1.5 x the height of the adjacent buildings/structures. Population prone to hazard = population density * (barangay area ∩ hazard area)įacilities prone to hazard = barangays ∩ hazard ∩ facilities (Note: Facilities may be schools or health facilities) In the absence of data for built-up areas, population density figures per barangay were obtained by evenly distributing population across each barangay.īarangays prone to hazard = barangays ∩ hazard Values for prone population, schools, and health facilities per barangay, and prone barangays per municipality were summed up to obtain the values shown on the table. Lastly, it should be noted that administrative boundaries used are only an approximate and are not considered authoritative.Ĭalculation for the level of exposure or proneness of barangays to hazards incorporates the slightest intersection between the barangay boundary and hazard layers. Hence, users are advised to view the hazard map overlain with the administrative boundary layer to visually verify how much of the area is within the scope of the hazard. Similarly, administrative boundaries and the scope of the hazard may not fit well when calculating for their intersection. Also, hazards information may be refined and updated as new data become available to the system.įor point data for schools and health facilities, they may not represent the actual location of the facility and may need further verification. Since some data used for calculations may be outdated, GeoRiskPH will not be liable for results that may differ from actual data. If you prefer the full suite of event data for a single event, use the GeoJSON Detail Feed.HazardHunterPH consumes existing information as provided by agencies to the GeoRiskPH Integrated System. This feed contains a subset of the event data for the event lists. Seismological data which is intended to cover a broad range ofįields of application in modern seismology.Ī format for encoding a variety of geographic data structures. A flexible, extensible and modular XML representation of
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