نتایج جستجو برای: flood forecasting and warning system
تعداد نتایج: 17138290 فیلتر نتایج به سال:
It has long been recognized that flood protection provided by levees is a double-edged sword. On one hand, levee systems have provided flood protection. On the other hand, given enough time levees either will be overtopped or will fail—leading to severe flood impacts on an unsuspecting population. Unlike a natural flood, levee failure flooding is often rapid, forceful, extremely damaging, and o...
Better understanding of the physics of natural systems, the power of information technology and remote sensing tools, and the advances in statistics and simulation of complex nonlinear systems have revolutionized the way civil and environmental engineers approach traditional and new challenges. This paper describes new developments in the area of distributed rainfall and flood forecasting over ...
Combining the advantages of genetic algorithm (GA) and projection pursuit regression (PPR), this article firstly uses improved Hermit polynomial as the ridge function of projection pursuit regression model. And then adopted the real-coded genetic algorithm to optimize the projection direction, a forecasting model for peak flow of short flood forecasting is presented. Applied the presented model...
The Southeast Mediterranean (SEM) is characterized by increased vulnerability to river/stream flooding. However, impact-oriented, operational fluvial flood forecasting far away from maturity in the region. current paper presents first attempt at introducing an impact-based warning system area, which founded on coupling of a state-of-the-art numerical weather prediction model with advanced spati...
Damage due to flooding has increase in many countries in the last years, and due to the global climate change, which is now recognized as a real threat, an increase in the occurrence of flooding events and especially of flash flooding events is likely to continue into the future. In those conditions and because building new flood defences structures for defending vulnerable areas has serious fi...
The City of Houston has been facing flood problems of a serious nature, some of which occurred in 1989, 1992, 1994, 1998, 2001, and 2003. Tropical Storm Allison in June 2001 created the most extensive urban flood damage in U.S. history ($5 billion). Urban flood problems have repeatedly brought attention to the need for improved urban drainage design and flood prediction, as in the case of the T...
Precise flood forecasting is desirable so as to have more lead time for taking appropriate prevention measures as well as evacuation actions. Although conceptual prediction models have apparent advantages in assisting physical understandings of the hydrological process, the spatial and temporal variability of characteristics of watershed and the number of variables involved in the modeling of t...
The use of radar in Quantitative Precipitation Estimation (QPE) for radar-rainfall measurement is significantly beneficial. Radar has advantages in terms of high spatial and temporal condition in rainfall measurement and also forecasting. In Malaysia, radar application in QPE is still new and needs to be explored. This paper focuses on the Z/R derivation works of radarrainfall estimation based ...
JOORABCHI, A. ZHANG, H. and BLUMENSTEIN, M, 2007. Application of artificial neural networks in flow discharge prediction for the Fitzroy River, Australia. Journal of Coastal Research, SI 50 (Proceedings of the 9th International Coastal Symposium), 287 – 291. Gold Coast, Australia, ISSN 0749.0208 Prediction of flow discharge, and in particular floods, in rivers is one of the basic and key inform...
The use of social media services are providing solutions and new opportunities for innovative use during flood crisis events. The different tools provided by social media have proved providing many benefits in relation to protection and rescue services for governmental and civil protection. Social media services provide broader prospects for all affected by the flood threats to engage in warnin...
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