Improving flood forecasting in international river basins
نویسندگان
چکیده
منابع مشابه
An open-book watershed model for prototyping space-borne flood monitoring systems in International River Basins
A new era involving both simple and complex hydrologic modeling of un-gauged river basins may now emerge with the anticipated global availability of high resolution satellite rainfall data from the proposed Global Precipitation Measurement (GPM ) mission. This era of application pertains to rapid prototyping of GPM-based flood monitoring systems for downstream nations in International River Bas...
متن کاملTransboundary river floods: examining countries, international river basins and continents
The objectives of this study were (1) to quantify river floods shared by more than one country, that is, transboundary river floods and (2) to grasp more fully the degree of vulnerability of people to such events on a global, international river basin (IRB) and country level. To these ends, publicly available data were combined to identify such events and the resultant losses of life, flood-rel...
متن کاملComparison of several flood forecasting models in Yangtze River
Abstract In a flood-prone region, quick and accurate flood forecasting is imperative. It can extend the lead time for issuing disaster warnings and allow sufficient time for habitants in hazardous areas to take appropriate action, such as evacuation. In this paper, two hybrid models based on recent artificial intelligence technology, namely, genetic algorithm-based artificial neural network (AN...
متن کاملRiver Flood Forecasting Using Complementary Muskingum Rating Equations
A model for real-time flood forecasting in river systems with large drainage areas has been developed. Flow variations between upstream and downstream stations are interlinked and are typically governed by reach properties. Unique paired variations establish useful flow correspondence resulting in inflow and outflow forecasting models for a reach. The proposed model can generate forecasts with ...
متن کاملRegression-based Daugava River Flood Forecasting and Monitoring
The paper discusses the application of linear and symbolic regression to forecast and monitor river floods. Main tasks of the research are to find an analytical model of river flow and to forecast it. The challenges are a small set of flow measurements and a small number of input factors. Genetic programming is used in the task of symbolic regression. To train the model, historical data of the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Eos, Transactions American Geophysical Union
سال: 2006
ISSN: 0096-3941
DOI: 10.1029/2006eo050001