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FloodSense: Community-Based Flood Warning and Evacuation System
(Mobile…
FloodSense: Community-Based Flood Warning and Evacuation System
(Mobile and SMS-Based Platform — BSCS 3A – Group 5) :
Introduction
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• Geographic vulnerability due to typhoon belt location (Republic of the Philippines, 2021)
• Aggravating factors: rapid urbanization (UN-Habitat, 2023), poor drainage (Cheng, 2024), limited preparedness (World Bank Group, 2023)
• Case of Barangay 659, Ermita, Manila — low elevation, frequent flooding (Poso et al., 2020; MGB, n.d.)
• Gaps in current flood warning systems — delayed alerts, internet-dependency, limited actionable guidance (GSMA, 2022)
• Proposal: FloodSense, a community-based mobile and SMS system providing real-time alerts and safe evacuation routes
• Goals: strengthen preparedness, ensure accessibility, and improve coordination between residents and authorities
Objectives
General Objective
To design, develop, and evaluate FloodSense, a mobile and SMS-based early warning system for flood-prone communities.
Specific Objectives
• To collect, store, and analyze real-time rainfall and water-level data.
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• To evaluate system performance (accuracy, reliability, response time, user satisfaction).
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Scope and Limitations
Scope
• Focused on Barangay 659, Ermita, Manila.
• Develops both mobile app (for smartphones) and SMS-based alert system (for low-connectivity users).
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Significance
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• Researchers & Policymakers: Access data for improved flood mitigation and climate adaptation strategies.
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Definition of Terms
• FloodSense: Proposed mobile and SMS-based flood warning and evacuation system developed in this study.
• Early Warning System (EWS): Technology that detects hazards and provides timely alerts for preparation and response.
• Community-Based Disaster Risk Reduction and Management (CBDRRM): Participatory disaster preparedness approach at community level.
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• Mobile Application: Software for smartphones providing alerts, hazard maps, and routes.
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• Server Architecture: Centralized design for data management, communication, and alert dissemination.
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Related Literatures
• [6] Zahri, R. et al. (2025). FLOOD EARLY WARNING SYSTEMS (FEWS) IN ENHANCING DISASTER RISK REDUCTION AND COMMUNITY RESILIENCE: A SYSTEMATIC REVIEW. International Journal of Law Government and Communication, 10(40), 425–445.
• [5] Ratmini, Y. et al. (2025). Sistem Monitoring dan Peringatan Dini Banjir Berbasis Internet of Things (IoT). Jurnal Ilmiah Teknologi Informasi Asia, 19(1), 1–7.
• [4] H, M. R. et al. (2024). Design of flood early detection based on the internet of things and decision support system. Ingénierie Des Systèmes D Information, 29(3), 1183–1193.
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