The water level in a river defines the nature of flow and is fundamental to flood analysis. Extreme fluctuation levels rivers, such as floods droughts, are catastrophic every manner; therefore, forecasting at an early stage would prevent possible disasters relief efforts could be set up on time. This study aims digitally model Kabul River alleviate effects any change this downstream. used machi...

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...

This is a study of the scientific component of an effort to restore an urban river by removing a low-head dam. The Secor Dam is owned by a local government entity near Toledo, Ohio. The proposed removal of the last structure impeding flow on the Ottawa River has broad appeal, but the owner is concerned about liability issues, particularly potential changes to the flood regime, the presence of c...

The prediction of river, s discharge rate is one of the important issues in water resources engineering. This issue is very important for the planning, management, and policy making in water resources management, especially in the country like Iran, with limited water resources in line the economic and environmental development. Awareness of how the relationship between rainfall and run...

r Publis .028 .: +1 412 @usgs.go Summary Forecasting streamflow during extreme hydrologic events such as floods can be problematic. This is particularly true when flow is unsteady, and river forecasts rely on models that require uniform-flow rating curves to route water from one forecast point to another. As a result, alternative methods for measuring streamflow are needed to properly route flo...

For the entire period of recorded time, floods have been a major cause of loss of life and property. Methods of prediction and mitigation range from human observers to sophisticated surveys and statistical analysis of climatic data. In the last few years, researchers have applied computer programs called Neural Networks or Artificial Neural Networks to a variety of uses ranging from medical to ...