Machine Vision Inspection Systems, Image Processing, Concepts, Methodologies, and Applications

5Flood Disaster Management: Risks, Technologies, and Future Directions

Hafiz Suliman Munawar

University of New South Wales (UNSW), Sydney, Australia

Abstract

Flood control and disaster management deal with reduction or prevention of devastating effects caused by floodwater. The overall aim of this research is to develop an understanding about the flood risks on a global scale, explore the existing systems for managing the risks and devise a flood management model to overcome the gaps existing in the current technology. Floods as a disaster will be viewed in detail along with an analysis of the threats to community and economy. The identification of a problem domain and working towards a true solution for managing the damage and destruction caused by flood, is crucial. The use of technology for effective disaster response is also investigated along with its limitations. Various advancements in the disaster management technologies are explored and the gaps are identified. Finally, a machine learning and image processing based solution is proposed for flood management. The system is formulated so as to overcome the limitations of the current technologies and present a robust and reliable model for early flood detection and management.

Keywords: Flood, flood risks, flood management, disaster management, machine learning, edge detection, Artificial Neural Network, artificial intelligence

5.1 Flood Management

5.1.1 Introduction

The main objective of this chapter is to highlight ...