Human Resource and Institution Development Division (HRIDD)
B. DISASTER MITIGATION SECTOR
household infectious wastes and hospital-use plastic-based medical and healthcare materials in Pandemic
Life Cycle Analysis (LCA) of single-use plastics with technological interventions
3. Localization of observation and Forecasting Tools & Monitoring Networks
Across several projects, locally developed/manufactured, cost-effective sensors and prototype instruments for effective monitoring of Disaster Risk Reduction- Climate Change Adaptation (CRR-CCA) related events have also been made.
In consideration of the above, the DRR-CCC S&T Program has essentially accomplished the following for the period 2010-2021:
1. Enhanced capacity of the high and moderately vulnerable communities to assess and address local risks to mitigate and quantify the impacts, and damages due to natural hazards.
2. Developed/fabricated an improved and enhanced all-hazards monitoring and forecasting through an accessible and reliable, real-time to near-real time end-to-end risk communication systems.
3. Locally developed/manufactured, cost-effective sensors and instruments prototype for effective monitoring of DRR-CCA related events.
4. Locally fabricated and upgraded monitoring system, tools & techniques for risk assessment.
5. Established and reliable observation and operating systems for disaster management Call Objectives
The objective of this call is to alleviate the effects of disaster and climate change through enhancing the current methodologies, technologies and capabilities of the mandated agencies such as PAGASA, PHIVOLCS and DENR-MGB. Specifically the call should address concerns and research gaps relating to seismic, hydrometeorologic and climate- related hazards.
Total Allocation for 2022 – 2023: Total PhP 120,000.000.00
The R&D initiatives should address/cover the following identified research areas:
1. Disaster Risk Reduction a. Seismic Hazards
o Optimized Early Warning and Alarm Systems for Coastal Communities (preferred features: can detect tsunami wave at night, enough warning time to the LGUs)
o Nationwide Earthquake Hazard Mapping and Modeling thru Alternative Methods
o Lahar/ Landslide Models based on Climate Maps and Models b. Hydrometeorological Hazards
• Urban and River flooding
o Flood Forecasting (near-real time) to LGUs
o Risk Assessment Urban and River flooding- Nationwide or in a sample site
o Street level/ barangay level/community level near-real time river monitoring and early warning system for all rivers nationwide
o Dams Water Release Protocols and River/Tributary Control o Scenario/simulations for rivers and dams crisis with plan of action
o Cloud/Thunderstorms High-resolution Near Real-time Detection/Mapping/Monitoring for Micro-weather Forecasting
o Ship Route Gale Warning Visualization o Weather Forecast Visualization
o Bow Echo Detection for Tornado Warning 2. Climate Change- related Hazards
o Impact-based Forecasting for flooding, landslides, severe wind and storm surge
Additional Call Document Requirements
o Secure partnership and commitment from mandated government agencies engaged in natural hazard forecasting, hazard mappings, early warning issuances, among others (ex. PAGASA, PHIVOLCS, DENR-MGB, LGUs)
2. MULTI-UVS AND IOT-EQUIPPED MISSIONS (MAIM) FOR DRRM / UVS FOR RESILIENT SYSTEMS AND APPLICATIONS (URSA)
Unmanned Vehicle Systems (UVS), particularly unmanned aerial vehicles (UAV), are still among the latest technology trends sweeping across and disrupting a broad spectrum of industries. For more than a decade in the global market, UVS has been the face of intelligence, disaster response and assessment, warfare/military, humanitarian relief, among others. With the inclusion of the land and sea applications, the benefits of unmanned systems will extend beyond these sectors.
The Philippines is highly vulnerable to numerous natural hazards and climate change. There is a need to develop and sustain capabilities for post disaster assessment, rescue operations, and response to climate change. The UVS Program under the Disaster Mitigation (DM) sector of PCIEERD is aligned with the Harmonized National R&D Agenda (HNRDA 2017-2022). Currently, the UAV industry in the Philippines is comprised of technology & service providers, users, hobbyists/enthusiasts, technology developers from research and academic institutions, UAV parts & component suppliers. The country will benefit a lot if the vast and fast-evolving UVS technology applications are explored and adopted.
The objective of the call is to develop Research and Development (R&D) programs/projects on innovative UVS in convergence with its relative exponential technology areas that include but not limited to Internet of Things, which will allow UVS technology to competitively go beyond its current applications for Disaster Mitigation (DM) that are specific to the Philippine situation.
The call aims towards the development and deployment of UVS technology (land, air, water) that will create opportunities beyond traditional markets and provide non-traditional solutions in support of the Philippines moving toward Industry 4.0. Specifically, it aims to enhance the country’s expertise on UVS technology and its utilization for disaster response and assessment, rescue operations, and climate change adaptation and monitoring in order to minimize the loss in
property and human lives, especially to those located in geographically isolated and disadvantaged areas of the Philippines.
Total Allocation for 2022 – 2023: PhP 120,000,000.00
The R&D initiatives should address/cover the following identified research areas:
1. Design and Development of High Payload Capacity UVS Platform for Logistical Support (sense-and-avoid/collision avoidance, beyond-line-of-sight, and vertical landing and takeoff capabilities)
2. Collaborative multi-UVS (land, air, underwater) missions with application of its convergent technologies (e.g. AI, algorithm development/computing technology, control systems, V to V and V to X communications, 5G, standards, custom or repurposed payload) for DRR and resilient communications (logistics, pandemic response, agricultural and food security and climate change resilience in ecological systems).
3. Volcano crater monitoring as well as aerosol, volcanic fumes, lake and crater water sampling using High-payload UVS equipped with multispectral and thermographic camera 4. UVS automation software development for high-end applications (e.g. remote sensing,
search and rescue, predictive analysis, tracking, surveillance)
5. UVS Intelligence, Surveillance and Reconnaissance (ISR) missions/operations with recovery features and secured/encrypted communication system
6. Land deformation detection (UVS with survey-grade GPS capable of producing accurate elevation models and Land-based networking for monitoring)
7. Potential application of indigenous/smart materials and new/innovative sources of energy and propulsion
8. Radio Frequency monitoring and measurement (for Broadcast, Telecommunication, Radio Communication - NTC regulatory monitoring, RF emission compliance and DICT Policy on the use of the limited natural resource); Implementation of resilient communications standards.
To achieve long-term sustainability of the UAV S&T intervention program, there’s a need for a strong partnership with the industry sector. S&T collaboration among the academe, service providers and end-users to develop UAV hardware, software and applications is encouraged.
Additional Call Document Requirements o Project duration cannot exceed 24 months
o Letter of Commitment from (1) UVS providers (technologies-services-products) and (2) UVS-concerned/mandated government agencies; Specific involvement must be
identified in the letter (e.g. collaborator, investor in technology development, adopter of the R&D output) as well as their counterpart support in project implementation (e.g.
funding, or in-kind donation – equipment, personnel technical support, provisions for service facility)
o Pre-feasible business models for the innovative commercial application (should include a list and brief overview of available/commercial technologies that are related to the