Forecasting flood-prone areas using Shannon’s entropy model

Delineating flood prone areas using a statistical approach

8 Floods are frequent and widespread in Italy and pose a severe risk for the population. Local administrations commonly use flow propagation models to delineate the flood prone areas. These modeling approaches require a detail geo-environmental data knowledge, intensive calculation and long computational times. Conversely, statistical methods can be used to asses flood hazard over large areas, ...

Determination of flood-prone areas using Sentinel-1 Radar images (Case study: Flood on March 2019, Kashkan River, Lorestan Province)

Determination of flood-prone areas using Sentinel-1 Radar images (Case study: Flood on March 2019, Kashkan River, Lorestan Province) Introduction Although natural hazards occur in all parts of the world, their incidence is higher in Asia than in any other part of the world. Natural phenomena are considered as natural hazards when they cause damage or financial losses to human beings. Iran ...

Flood Forecasting Using Neural Networks

This paper deals with flood routing in rivers using neural networks. The unsteady river flow may be formulated in terms of two one-dimensional partial differential equations. These are the Saint Venant flow continuity and dynamic equations. Several methods of solution of these equations are known. These methods are based upon characteristics of equations, finite difference, finite element and f...

Mapping the flood-prone areas for developing a flood risk management system in the northeast of Iran

GIS-based multidate flood forecasting using hydraulic model

Flood plains and the area near to the rivers channels, because of their special circumstances such as fertility and water resources are appropriate situations for the social and agricultural activities, but due to morphological characteristics usually, these area are affected by different flood hazards. However, in these areas, determination of flood zone and its height and also detecting prope...