نتایج جستجو برای: flood forecast

تعداد نتایج: 50863  

2013
Tomoo Ushio Kazumasa Aonashi Takuji Kubota Shoichi Shige Misako Kachi Riko Oki Ken’ichi Okamoto Satoru Yoshida Zen-Ichiro Kawasaki

Precipitation is one of the most important parameters on the earth system, and the global distribution of precipitation and its change are essential data for modeling the water cycle, maintaining the ecosystem environment, agricultural production, improvements of the weather forecast precision, flood warning and so on. In the GPM (Global Precipitation Measurement) project, the microwave radiome...

2016
Simon Burkard Frank Fuchs-Kittowski Bernd Pfützner Ruben Müller

For small drainage basins flood forecasting is particularly difficult and uncertain. By incorporating additional information that are captured and collected by volunteers with help of their smartphones (Volunteered Geographic Information, VGI), flood forecasting systems can be improved and forecast uncertainties can be minimized. This paper presents and discusses different concepts and methods ...

Journal: :Remote Sensing 2014
Ari Posner Konstantine Georgakakos Eylon Shamir

Flash Flood Guidance consists of indices that estimate the amount of rain of a certain duration that is needed over a given small basin in order to cause minor flooding. Backwater catchment inundation from swollen rivers or regional groundwater inputs are not significant over the spatial and temporal scales for the majority of upland flash flood prone basins, as such, these effects are not cons...

2012
F. Silvestro

Forecasting river discharge is a very important issue for the prediction and monitoring of ground effects related to severe precipitation events. The meteorological forecast systems are unable to predict precipitation on small spatial (few km) and temporal (hourly) scales. For these reasons the issuing of reliable flood forecasts is not feasible in those regions where the basin’s response to ra...

2006
Jorge Julián Vélez

Abstract The hydrological conceptual distributed model, called TETIS, divides river basins into regular cells, all of which are connected according to the network drainage. The rainfall-runoff process is modelled using linked tanks with different outflow relationships. The vertical movement is based on soil properties. Routing along the channel network has been coupled using geomorphologic basi...

2009
S. Davolio D. Mastrangelo M. M. Miglietta

During the MAP D-PHASE (Mesoscale Alpine Programme, Demonstration of Probabilistic Hydrological and Atmospheric Simulation of flood Events in the Alpine region) Operational Period (DOP, 1 June–30 November 2007) the most intense precipitation event observed south of the Alps occurred over the Venice Lagoon. In the early morning of 26 September 2007, a mesoscale convective system formed in an are...

2013
ISURI WIJESUNDERA MALKA N. HALGAMUGE THAS NIRMALATHAS THRISHANTHA NANAYAKKARA

The effectiveness of managing cyclone-induced floods is highly dependent on how fast reasonably accurate predictions can be made, which is a particularly difficult task given the multitude of highly variable physical factors. Even with supercomputers, collecting and processing vast amounts of data from numerous asynchronous sources makes it challenging to achieve high prediction efficiency. Thi...

2009

The Barato River joins the Ishikari River near the river mouth. That river basin is sometimes in danger of flood because it is low, flat and tidal area around the tributaries influenced by the backwater of the Ishikari River. Therefore the gate is provided at the confluence of Ishikari River to avoid counter flow. Flood forecasting is necessary to determine the gate operation and disaster preve...

2008
D. Rabuffetti

In recent years, the interest in the prediction and prevention of natural hazards related to hydrometeorological events has grown due to the increased frequency of extreme rainstorms. Several research projects have been developed to test hydrometeorological models for real-time flood forecasting. However, flood forecasting systems are still not widespread in operational context. Real-world exam...

2003
A. Löw R. Ludwig W. Mauser

The DLR-funded project “Integration of remote sensing data in operational water balance and flood forecasting systems” (InFerno) has been originated to establish an operational synergy of remote sensing and flood forecasting. Upon availability, InFerno intends to make excessive use of ENVISAT ASAR data, which will provide microwave imagery at a specifically appropriate spatial and temporal reso...

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