AI & IoT Based Flood Monitoring and System

Vansh Goel, Anshum Shukla, Vishal Kumar Pandey, Meena Kumari

2025

Abstract

Floods are a global hazard to both life and property, in addition to the infrastructure in place, which are enhanced by issues like urbanization, inadequate drainage, and climate change. Proper flood management and warning systems can minimize such losses. Latest solutions that use Internet of Things, and machine learning, make it possible to monitor risk assessment, and alerts, in real time. Some of the techniques used in flood prediction, especially in high-risk urban areas, include the use of AI models and smart sensors. IoT-enabled systems that are equipped with sensors to measure water levels, rainfall, and weather parameters feed into cloud platforms for the precise prediction of flood risks and efficient communication of warnings to stakeholders. The decision-support algorithms in predictive models like the Time Series Analysis ARIMA improve the accuracy of the prediction of floods and enhance the efficient response to emergencies through data analysis on meteorological as well as hydrological entities. These systems, in combination with Low-Impact Development (LID) practices, resilient network connectivity can provide early flood warning capacities, enable rapid decision making, and reduce the effect of floods on vulnerable groups of people. Testing and applications within real-life environments establish significant potential for its acceptance widely to enhance the effectiveness in managing urban flooding as a whole and disaster readiness on a global scale.

Paper Citation

in Harvard Style

Goel V., Shukla A., Pandey V. and Kumari M. (2025). AI & IoT Based Flood Monitoring and System. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 834-841. DOI: 10.5220/0013874200004919

in Bibtex Style

@conference{icrdicct`2525,
author={Vansh Goel and Anshum Shukla and Vishal Pandey and Meena Kumari},
title={AI & IoT Based Flood Monitoring and System},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={834-841},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013874200004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - AI & IoT Based Flood Monitoring and System
SN - 978-989-758-777-1
AU - Goel V.
AU - Shukla A.
AU - Pandey V.
AU - Kumari M.
PY - 2025
SP - 834
EP - 841
DO - 10.5220/0013874200004919
PB - SciTePress