DOI : https://doi.org/10.18517/ijaseit.12.2.15003

A Baseline Assessment of the Multi-Hazard Early Warning Systems in the Province of Batangas, Philippines

Marlon Era (1), Edgar Vallar (2), Abdul Jhariel Osman (3), Ruben Paul Borg (4), Glorianne Borg Axisa (5), Ignacio Aguirre Ayerbe (6), Maria Merino Gonzalez-Pardo (7), Boyko Ranguelov (8)
(1) Behavioral Sciences Department, De La Salle University, Manila, 1004, Philippines
(2) Behavioral Sciences Department, De La Salle University, Manila, 1004, Philippines
(3) Behavioral Sciences Department, De La Salle University, Manila, 1004, Philippines
(4) Department of Construction and Property Management, Faculty for the Built Environment, University of Malta, Msida, Malta
(5) Department of Construction and Property Management, Faculty for the Built Environment, University of Malta, Msida, Malta
(6) IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
(7) IHCantabria – Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Santander, Spain
(8) UDepartment of Geophysics, Geological Faculty, Mining and Geology University, Sofia, Bulgaria
Fulltext View | Download
How to cite (IJASEIT) :
Era, Marlon, et al. “A Baseline Assessment of the Multi-Hazard Early Warning Systems in the Province of Batangas, Philippines”. International Journal on Advanced Science, Engineering and Information Technology, vol. 12, no. 2, Apr. 2022, pp. 621-6, doi:10.18517/ijaseit.12.2.15003.
Citation Format :
Batangas is a first-class province of the Philippines located on the southwestern part of Luzon in the CALABARZON region. Its capital is Batangas City and the provinces of Cavite and Laguna border it to the north and Quezon to the east. Across the Verde Island Passages to the south is the island of Mindoro and to the west lies the South China Sea. Geographically, Batangas is a combination of plains and mountains, including the world’s smallest volcano, Mt. Taal, with an elevation of 600 meters, located in the middle of the Taal Lake. Other important peaks in Batangas include Mt. Makulot with an elevation of 830 m, Mt. Talamitan with 700 m, Mt. Pico de Loro with 664 m, Mt. Batulao with 811 m, Mt. Manabo with 830 m, and Mt. Daguldol with 672 m. The province has many beaches and is famous for its excellent diving spots. It has the second largest international seaport in the Philippines after Metro Manila. The city's identification as an industrial growth center in the region and the focal point of the CALABARZON program resulted in the increasing number of business establishments in the city’s Central Business District (CBD) and numerous industries operating at the province’s industrial parks. Given the geographical nature of the province and its current development, the present study was envisioned to assess its preparation for any forms of an imminent natural disaster. In particular, the study assessed the usage of multi-hazard early warning systems in the province using survey interviews with various stakeholders. The results of the 30 survey interviews showed that there is a limited multi-hazard early warning system in the province although the majority of the participants have experienced natural disasters in their respective areas.

Geron, C. D., Bacay, J. B., & Mame, R. M. Linking International Port Expansion Project To Socio-Economic Status: The Case Of Batangas, Philippines.

Reyes, M. R. D., Daguio, K. G. L., & Gamboa, M. A. M. (2019). City Profile: Batangas City, Philippines. Environment and Urbanization ASIA, 10(2), 151-175.

Zhou, L., Wu, X., Xu, Z., & Fujita, H. (2018). Emergency decision making for natural disasters: An overview. International journal of disaster risk reduction, 27, 567-576.

Dragović, N., Vasiljević, í., Stankov, U., & VujiÄić, M. (2019). Go social for your own safety! Review of social networks use on natural disasters-case studies from worldwide. Open Geosciences, 11(1), 352-366.

Alfieri, L., Salamon, P., Pappenberger, F., Wetterhall, F., & Thielen, J. (2012). Operational early warning systems for water-related hazards in Europe. Environmental Science & Policy, 21, 35-49.

Petit-Boix, A., Sevigní©-Itoiz, E., Rojas-Gutierrez, L. A., Barbassa, A. P., Josa, A., Rieradevall, J., & Gabarrell, X. (2017). Floods and consequential life cycle assessment: Integrating flood damage into the environmental assessment of stormwater Best Management Practices. Journal of cleaner production, 162, 601-608.

Becken, S., Mahon, R., Rennie, H. G., & Shakeela, A. (2014). The tourism disaster vulnerability framework: An application to tourism in small island destinations. Natural Hazards, 71(1), 955-972.

Hugdahl, K., Fredrikson, M., & í–hman, A. (1977). ‘Preparedness’ and ‘arousability’as determinants of electrodermal conditioning. Behaviour Research and Therapy, 15(4), 345-353.

Das, R. (2018). Disaster preparedness for better response: Logistics perspectives. International journal of disaster risk reduction, 31, 153-159.

Kusumastuti, R. D., Nurmala, A., & Wibowo, S. S. (2021). Knowledge management and natural disaster preparedness: A systematic literature review and a case study of East Lombok, Indonesia. International Journal of Disaster Risk Reduction, 102223.

Alim, S., Kawabata, M., & Nakazawa, M. (2015). Evaluation of disaster preparedness training and disaster drill for nursing students. Nurse education today, 35(1), 25-31.

Kunz, N., Reiner, G., & Gold, S. (2014). Investing in disaster management capabilities versus pre-positioning inventory: A new approach to disaster preparedness. International Journal of Production Economics, 157, 261-272.

Ronan, K. R., Alisic, E., Towers, B., Johnson, V. A., & Johnston, D. M. (2015). Disaster preparedness for children and families: a critical review. Current psychiatry reports, 17(7), 58.

Sutton, J., & Tierney, K. (2006). Disaster preparedness: Concepts, guidance, and research. Colorado: University of Colorado, 3, 1-41.

Qing, C., Guo, S., Deng, X., & Xu, D. (2021). Farmers' disaster preparedness and quality of life in earthquake-prone areas: The mediating role of risk perception. International Journal of Disaster Risk Reduction, 59, 102252.

Bollettino, V., Alcayna-Stevens, T., Sharma, M., Dy, P., Pham, P., & Vinck, P. (2020). Public perception of climate change and disaster preparedness: Evidence from the Philippines. Climate Risk Management, 30, 100250.

Walsh, B., & Hallegatte, S. (2020). Measuring Natural Risks in the Philippines: Socio-economic Resilience and Wellbeing Losses. Economics of Disasters and Climate Change, 1-45.

Khan, A., Gupta, S., & Gupta, S. K. (2020). Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques. International journal of disaster risk reduction, 47, 101642.

Golnaraghi, M. (2012). An Overview: Building a global knowledge base of lessons learned from good practices in multi-hazard early warning systems. In Institutional Partnerships in Multi-Hazard Early Warning Systems (pp. 1-8). Springer, Berlin, Heidelberg.

Mohanty, A., Hussain, M., Mishra, M., Kattel, D. B., & Pal, I. (2019). Exploring community resilience and early warning solution for flash floods, debris flow and landslides in conflict prone villages of Badakhshan, Afghanistan. International journal of disaster risk reduction, 33, 5-15.

NeuíŸner, O. (2021). Early warning alerts for extreme natural hazard events: a review of worldwide practices. International Journal of Disaster Risk Reduction, 102295.

Gumiran, B. A., & Daag, A. (2021). Negotiated participatory action research for multi-stakeholder implementation of early warning systems for landslides. International Journal of Disaster Risk Reduction, 58, 102184.

Federation of the Red Cross’ (IFRC) Early Action Protocols. Retrieved from https://media.ifrc.org/ifrc/fba/

START Network’s Disaster Risk Financing mechanisms. Retrieved from https://startnetwork.org/anticipation-and-risk-financing

Famine Early Warning System NETwork. Retrieved from https://fews.net/nuestro-trabajo

Boult, V. L., Black, E., Abdillahi, H. S., Bailey, M., Harris, C., Kilavi, M., ... & Todd, M. C. (2022). Towards drought impact-based forecasting in a multi-hazard context. Climate Risk Management, 100402.

Rogers, D., & Tsirkunov, V. (2011). Costs and benefits of early warning systems. Global Assessment Rep.

Lindsay, G. (2001). Baseline assessment: What purpose, and for whose benefit?. Education 3-13, 29(3), 47-52.

Ballesteros-Cí¡novas, J. A., Allen, S., & Stoffel, M. (2019). The importance of robust baseline data on past flood events for regional risk assessment: a study case from Indian Himalayas. UNISDR global assessment report.

Elnahas, A., Kim, D., & Kim, I. (2018). Natural disaster risk and corporate leverage. Available at SSRN 3123468.

Yum, S. G., Ahn, S., Bae, J., & Kim, J. M. (2020). Assessing the risk of natural disaster-induced losses to tunnel-construction projects using empirical financial-loss data from South Korea. Sustainability, 12(19), 8026.

Wu, D., & Cui, Y. (2018). Disaster early warning and damage assessment analysis using social media data and geo-location information. Decision support systems, 111, 48-59.

Ma, Y., Xie, Z., Li, G., Ma, K., Huang, Z., Qiu, Q., & Liu, H. (2022). Text visualization for geological hazard documents via text mining and natural language processing. Earth Science Informatics, 1-16.

Hernandez, D. R. F. (2021, January). Disaster Vulnerability Assessment of Selected Jails Under Bureau of Jail Management and Penology in CALABARZON. In Proceeding of the Asia-Pacific E-Conference on Multidisciplinary Research (APECMR) (Vol. 30, p. 31).

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).