IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v13y2026i6p954-967.html

Flood Alert Mapper: A Community-Powered Real-Time Flood Reporting and Rescue Location System

Author

Listed:
  • Lawrence Kimji P. Vicera

    (Department of Information Technology, Jesus Reign Christian College Foundation, Malate, Manila)

  • Jericho Kyle D. Biacan

    (Department of Information Technology, Jesus Reign Christian College Foundation, Malate, Manila)

  • Jairus Leus S. Listangco

    (Department of Information Technology, Jesus Reign Christian College Foundation, Malate, Manila)

Abstract

Flooding remains one of the most destructive natural disasters affecting communities, particularly in urban and low-lying areas where delayed reporting and inaccurate information hinder effective emergency response operations. Traditional flood monitoring systems often rely on centralized reporting mechanisms that may not provide real-time situational awareness and community-based verification. This study aimed to develop a Flood Alert Mapper: A Community-Powered Real-Time Flood Reporting and Rescue Location System capable of supporting real-time flood monitoring, AI-assisted validation, community participation, and emergency notification dissemination. The study utilized a developmental-descriptive research design and adopted the Rapid Application Development (RAD) model in designing and implementing the proposed system. The developed web-based platform integrated real-time flood mapping, crowdsourced flood reporting, AI-assisted confidence scoring using MobileNetV2, community validation mechanisms, and automated notification features. The system computed report reliability using a weighted confidence formula combining AI-generated analysis and community validation results.

Suggested Citation

  • Lawrence Kimji P. Vicera & Jericho Kyle D. Biacan & Jairus Leus S. Listangco, 2026. "Flood Alert Mapper: A Community-Powered Real-Time Flood Reporting and Rescue Location System," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 13(6), pages 954-967, June.
    • Handle: RePEc:bjc:journl:v:13:y:2026:i:6:p:954-967
    as

    Download full text from publisher

    File URL: https://rsisinternational.org/journals/ijrsi/uploads/vol13-iss6-pg954-967-202606_pdf.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijrsi/view/flood-alert-mapper-a-community-powered-real-time-flood-reporting-and-rescue-location-system/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lagmay, Alfredo Mahar Francisco & Bagtasa, Gerry & Andal, Dinnah Feye & Andal, Fritz Dariel & Aldea, Janice & Bencito, Dianne Charmaine & Liporada, Kenneth & Delmendo, Patricia Anne, 2024. "An Impact-Based Flood Forecasting System for Citizen Empowerment," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 21(AJAD 20th), October.
    2. Waleed A. Hammood & Ruzaini Abdullah Arshah & Salwana Mohamad Asmara & Hussam Al Halbusi & Omar A. Hammood & Salem Al Abri, 2021. "A Systematic Review on Flood Early Warning and Response System (FEWRS): A Deep Review and Analysis," Sustainability, MDPI, vol. 13(1), pages 1-24, January.
    3. Husain Najafi & Pallav Kumar Shrestha & Oldrich Rakovec & Heiko Apel & Sergiy Vorogushyn & Rohini Kumar & Stephan Thober & Bruno Merz & Luis Samaniego, 2024. "High-resolution impact-based early warning system for riverine flooding," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Farkas, Hannah & Linsenmeier, Manuel & Talevi, Marta & Avner, Paolo & Jafino, Bramka Arga & Sidibe, Moussa, 2025. "The Economic Value of Weather Forecasts : A Quantitative Systematic Literature Review," Policy Research Working Paper Series 11213, The World Bank.
    2. Murtuza Al-Mueed & Md Rafique Ahasan Chawdhery & Emmanuel Harera & Riyadh A. Alhazmi & Abdulmajeed M. Mobrad & Saqer M. Althunayyan & Ahmed M. Al-Wathinani, 2021. "Potential of Community Volunteers in Flood Early Warning Dissemination: A Case Study of Bangladesh," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
    3. Qiao Wang & Haozhuo Gu & Xinyu Zang & Minghao Zuo & Hanyan Li, 2025. "Flood resilience in cities and urban agglomerations: a systematic review of hazard causes, assessment frameworks, and recovery strategies based on LLM tools," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(11), pages 12391-12426, June.
    4. Deolfa Josè Moisès & Olivia Kunguma, 2022. "Strengthening Namibia’s Flood Early Warning System through a Critical Gap Analysis," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    5. Vasilis Bellos & Carmelina Costanzo & John Kalogiros & Reza Ahmadian & Evangelos Rozos & Pierfranco Costabile, 2025. "Nowcasting Floods in Detailed Scales Considering the Uncertainties Associated with impact-based Practical Applications," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(8), pages 4205-4225, June.
    6. Wen Zhu & Siyi Wang & Hexiang Yan & Jiaying Wang & Kunlun Xin & Yunlong Xiao & Tao Tao, 2026. "Revolutionizing urban flooding predictions: a segmented deep learning model with fine-tuning update capabilities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 122(4), pages 1-34, February.
    7. Joško Trošelj & Han Soo Lee & Lena Hobohm, 2023. "Enhancing a Real-Time Flash Flood Predictive Accuracy Approach for the Development of Early Warning Systems: Hydrological Ensemble Hindcasts and Parameterizations," Sustainability, MDPI, vol. 15(18), pages 1-33, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjc:journl:v:13:y:2026:i:6:p:954-967. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.