Resource Location-Intelligence Model Conceptualized for Mayon Volcano Danger Zones in Albay,Philippines

Abstract

Purpose-This paper presents a cloud-based GIS that aims to store, retrieve, manipulate and analyze Disaster Risk Reduction and Management (DRRM)-database human resource data for students, professional volunteers, emergency responders, social and health workers. The location-intelligence is significant in maintaining public safety and peace and order during disaster and post-disaster phases. Locating trained personnel during emergency response stage is critical in DRRM given that responders can also be exposed to disaster risks together with the evacuees during crisis. Method-The researchers tried to put into the picture how spatial integration could enhance existing Local Government Unit (LGU) information systems. Enhancing existing information systems with human resource or household locations (x, y) is critical in analyzing and validating incoming real-time data or emergency incident reports. Reliable reports and location can be quickly collected, processed and manipulated to produce crisis maps from the DRRM databases stored at the cloud GIS at real-time. Crisis maps should be produced timely for complex emergencies and response operations.The sampling covered geographic locations intersecting the outer boundary of the Mayon 6kilometer danger zone stretched up to the 10-kilometer buffering at least 2,898 families 56 or 15,049 residents distributed in 25 barangays of 2 cities and 6 municipalities of Albay Province. The researchers tried to highlight how spatial integration could enhance existing LGU information systems by considering human resource locations (x, y) as fundamental in integrating incoming numerous real-time information from emergency incidents. The data are quickly collected, manipulated then processed with other data retrieved from the readily-available DRRM database, to simultaneously alert the concerned government agencies and responders, thru a Human Resource Location Intelligence System stored at the cloud GIS. Results-The proposed system can generate tailored maps (combining both official and latest unofficial information from the ground during emergencies),which indicates visualization of the extent of ash fall along with lahar prone map layers during disaster phase or post disaster phase. The layers are processed through a model-builder tool to quickly disclose real-time people and critical infrastructures at risk. Conclusion-This study providesreal-time exposure critical to responding to clearing operations, emergency response, retrieval of cadaver, and so on, and better understanding of how to enhance DRRM. Practical Implication-The proposed systemslocation-intelligence is significant in maintaining public safety and peace and order during disaster and post-disaster phases.

Geophilosophical Realness of Risk: A Case Study In National Housing Authority Resettlement Sites In Albay, Philippines

“…Disaster risk reduction documentation started as early as 1814, after Mayon erupted disrupting people"s lives and displacing them to look for lands suitable for planting crops far from this volcano but located near rivers and accessible to outside assistance. [1][3] [4]. As multiple hazard events naturally re-emerge, the land morphology relatively implies physical and environmental modifications, making people vulnerable to environmental changes and discovered to be dangerous.…”

“…As multiple hazard events naturally re-emerge, the land morphology relatively implies physical and environmental modifications, making people vulnerable to environmental changes and discovered to be dangerous. [1][3] [4] Evacuation-return behavior of farmers within a complete no-build-zone model (Mayon 6-Km Permanent Danger Zone of Albay), allowing barangay social and institutional facilities such as schools, barangay halls, and other developments turning into the new norm that contributed to the uncontrolled sprawl within the permanent and extended danger zones realization of the tri-nodal spatial developments now trending in Legazpi City, Tabaco City and Ligao City. [1][3] [4] Undesired developments were analyzed using Open Street Map spatial data as well as the uncontrolled construction of buildings along the old railroads and rights-of-way, near rivers prone to flash floods carrying lahar deposits.…”

“…[1][3] [4] Evacuation-return behavior of farmers within a complete no-build-zone model (Mayon 6-Km Permanent Danger Zone of Albay), allowing barangay social and institutional facilities such as schools, barangay halls, and other developments turning into the new norm that contributed to the uncontrolled sprawl within the permanent and extended danger zones realization of the tri-nodal spatial developments now trending in Legazpi City, Tabaco City and Ligao City. [1][3] [4] Undesired developments were analyzed using Open Street Map spatial data as well as the uncontrolled construction of buildings along the old railroads and rights-of-way, near rivers prone to flash floods carrying lahar deposits. [1][3] [4] This study sought to measure risk, residual risk, and extraneous errors, logical to the concept of assessing risk reality phenomenon.…”

“…[1][3] [4] Undesired developments were analyzed using Open Street Map spatial data as well as the uncontrolled construction of buildings along the old railroads and rights-of-way, near rivers prone to flash floods carrying lahar deposits. [1][3] [4] This study sought to measure risk, residual risk, and extraneous errors, logical to the concept of assessing risk reality phenomenon. This study focuses on the significance of the implementation of Sendai Framework 2015-2030 to link to disasters happening within the 25 km radius referenced at the crater of Mayon Volcano to reduce human and economic losses by avoiding the creation of new risks in the built environment.…”

“…The barangay (village) nodal centers or the location of the barangay halls is interconnected with road and road-like patterns. Density of buildings surrounding the barangay nodal centers varies depending on the slope, lift and other landscape features such as river and its bank erosion due to severe rainfalls [1][4]. …”