Abstract
The purpose of this article is to explain a new technology for monitoring floods. This article describes a cost-effective and easy-to-use system for timely warning people about impending floods to save lives and minimize damage during disasters. The suggested system will help emergency management teams monitor floods and predict future water levels to provide ample information to communities likely to be hit by floods. Based on the assessment of current information-gathering techniques and public policies used to manage floods, the authors established that a smart flood monitoring system is more effective in warning individuals of impending floods. As an example, we illustrate that synthetic artificial neural networks can significantly improve the ability to spot floods as soon as they occur. Our method significantly reduces the risk posed by floods by accurately predicting their occurrence using computer forecasts based on meteorological data. The new method for effectiveness evaluation is confirmed by the increasing number of developing countries using related systems to fight floods because of their low costs and reliability. New results about the usefulness of the system will improve its use in managing floods and can be the basis for changes in the methods for emergency preparation in various regions. This study is novel because the proposed flood monitoring system is based on existing technologies and can be used to record and disseminate data on floods with minimal interference.
Original language | American English |
---|---|
Pages (from-to) | 153-167 |
Journal | Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University |
Volume | 58 |
Issue number | 4 |
DOIs | |
State | Published - Aug 2023 |