A flood and landslide monitoring system using IOT and wireless sensor network/ Jayrome Serdan, John Benedict Olpot, Dave Santillan, Alvin Pentuan, and Kian Ross Saluna .--

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Serdan, Jayrome [author ]

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Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2025.Description: xii, 117pages: 29cmContent type:

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BTH QA 76.9 S47 2025

Dissertation note: College of Industrial Technology .-- Bachelor of Engineering Technology major in Computer Engineering Technology: Technological University of the Philippines, 2025. Summary: Floods and landslides were two of the greatest global threats and so require effective disaster management. Far too many places around the globe are exposed to hazards such as flooding, landslides, and earthquakes; yet early warning systems are provided only for the developed countries. Existing FLWS have limitations, such as an inadequate communication process regarding high-impact disasters, outdated communication systems, and a lack of critical information on the severity and impacts. ‘This study proposes a flood and landslide monitoring system (FLMS)’, ‘using IoT and wireless sensor networks’ to enhance disaster preparedness and provide easy access to monitor floods and landslides through apps in vulnerable communities. The system integrates LiDAR sensors, Float Switch, GPS, and microcontrollers to provide accurate, real-time information and timely warnings. The FLMS is designed to improve response times, reduce loss of life, and minimize property damage. The project also aligns with the TUP and DOST agenda by advancing technology for disaster preparedness and contributes to the UN-SDG 11 by promoting ‘resilience and adapting capacity to climate-related hazards.’ Keywords: Wireless Sensor Network, UN-SDG 11, Flood and Landslide Monitoring System, Internet of Things, Sensor Nodes

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Notes	Date due	Barcode
Bachelor's Thesis CIT	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76.9 S47 2025 (Browse shelf(Opens below))	c.1.	Not for loan	For library use only		BTH0004110

Bachelor's thesis

College of Industrial Technology .-- Bachelor of Engineering Technology major in Computer Engineering Technology: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

Floods and landslides were two of the greatest global threats and so require
effective disaster management. Far too many places around the globe are exposed to
hazards such as flooding, landslides, and earthquakes; yet early warning systems are
provided only for the developed countries. Existing FLWS have limitations, such as an
inadequate communication process regarding high-impact disasters, outdated
communication systems, and a lack of critical information on the severity and impacts.
‘This study proposes a flood and landslide monitoring system (FLMS)’, ‘using IoT and
wireless sensor networks’ to enhance disaster preparedness and provide easy access to
monitor floods and landslides through apps in vulnerable communities. The system
integrates LiDAR sensors, Float Switch, GPS, and microcontrollers to provide accurate,
real-time information and timely warnings. The FLMS is designed to improve response
times, reduce loss of life, and minimize property damage. The project also aligns with the
TUP and DOST agenda by advancing technology for disaster preparedness and contributes
to the UN-SDG 11 by promoting ‘resilience and adapting capacity to climate-related
hazards.’

Keywords: Wireless Sensor Network, UN-SDG 11, Flood and Landslide Monitoring
System, Internet of Things, Sensor Nodes

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