Abstract
Floods are a serious hazard to life and property. The traditional probability statistical method is acceptable in analysing the flood risk but requires a large sample size of hydrological data. This paper puts forward a composite method based on artificial neural network (ANN) and information diffusion method (IDM) for flood analysis. Information diffusion theory helps to extract as much useful information as possible from the sample and thus improves the accuracy of system recognition. Meanwhile, an artificial neural network model, back-propagation (BP) neural network, is used to map the multi-dimensional space of a disaster situation to a one-dimensional disaster space and to enable resolution of the grade of flood disaster loss. These techniques all contribute to a reasonable prediction of natural disaster risk. As an example, application of the method is verified in a flood risk analysis in China, and the risks of different flood grades are determined. Our model yielded very good results and suggests that the methodology is effective and practical, with the potentiality to be used to forecast flood risk for use in flood risk management. It is also hoped that by conducting such analyses lessons can be learned so that the impact of natural disasters such as floods can be mitigated in the future. Keywords: artificial neural network, information diffusion, flood, risk analysis, assessment
Highlights
IntroductionFlooding is a common natural disaster which often causes loss of property and human life
Flood risk assessment for an area is important for flood disaster managers to be able to implement a compensation and disaster-reduction plan
In this study we propose a composite method, based on information diffusion and artificial neural networks, to establish a flood risk assessment model that can be applied with a small number of measured samples
Summary
Flooding is a common natural disaster which often causes loss of property and human life. Recent flooding disasters have shown the vulnerability of the so-called developed and developing countries to such events. In China, flood disasters occur frequently, and about two-thirds of the country’s area is facing the threat of different types and degrees of floods, as a result of both natural and unnatural influences, such as social and economic factors (Chen, 2010). Natural disasters present a great challenge to society today. Flood risk assessment for an area is important for flood disaster managers to be able to implement a compensation and disaster-reduction plan. As severe floods occur frequently, flood risk assessment and management play an important role in guiding governments in making timely and effective decisions for disaster rescue and relief
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
