there are different methods for controling the flood damages which one of them is flood zoning. in this method, flood zones are determined by simulating river hydraulic behavior and its flood plain for different return periods.in other hand, soil and specially plant coverage are the most effective factor to determine manning roughness coefficient. so it is expected, seasonal plant coverage chan...

Surat is a highly developed, thickly populated cosmopolitan character city with full of various activities going on day and night. Any natural calamity which causes loss of lives to property and infrastructure along with effects on industrial processes going on has serious impact on economy of the state. Therefore, it becomes highly necessary that flood events are studied and analyzed properly ...

A number of hedonic property pricing studies of flood risk indicate that properties within a designated higher flood risk zone sell for a lower price than an equivalent property outside of it. However, often the homes most at flood risk are also the most desirable in terms of their proximity to the water, and this concurrent existence of positive water-related amenities and negative flood risk ...

This paper presents some analytical results and numerical illustrations on the asymptotic properties of flood peak distributions obtained through derived flood frequency approaches. It confirms and extends the results of previous works: i.e. the shape of the flood peak distributions are asymptotically controlled by the rainfall statistical properties, given limited and reasonable assumptions co...

The influence of initial state variables on flood forecasting accuracy by using conceptual hydrological models is analyzed in this paper and a novel flood forecasting method based on correction of initial state variables is proposed. The new method is abbreviated as ISVC (Initial State Variable Correction). The ISVC takes the residual between the measured and forecasted flows during the initial...

this study is an attempt to develop an integrated methodology to predict the impact of the caspian sea on flooding using geographic information systems (gis) and hydrodynamic modeling. a rise in the sea level might lead to major flooding events, and have a severe impact on the spatial development of cities and regions. the feasibility of simulating a flood event along a drain channel is evaluat...

Machine Learning has become a key to develop intelligent systems and analyze data in science and engineering. Machine learning engines enable systems such as Siri, Kinect or Google self driving car, to name a few examples. At the same time machine learning methods help helping deciphering the information in our dna and make sense of the flood of information gathered on the web. This notes provi...

Flood is one of the most important natural disasters affect China greatly, especially for southeast cities. To help mitigate the loss brought by it, technologies such as simulation, visualization, decision support system, etc. could be utilized in the process of emergency management for city flood. Thus the Flood Simulation and Decision Support System (FSDSS) comes into being. It is an integrat...

Experimental evidence by several groups, including ours, indicates that spatial variations in the capillary-pressure-saturation relationship can dominate the saturation distribution and transport dynamics of CO2-brine systems in natural porous media. The importance of such small-scale capillary heterogeneity depends strongly on the local balance of the viscous, buoyancy, and capillary forces. I...

This paper first exposes an algorithm that leads to fuzzy segmentation of color images. This algorithm performs, as in the watershed method, a progressive flood of the gradient image from pixels of lowest gradients. Membership degrees of pixels to regions depend on topographic distance, which takes into account both the distance to the core and the gradient norms. Geometric and colorimetric fea...