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Rafiu Oyelakin, Wenyu Yang and Peter Krebs
Fitting probability distribution functions to observed data is the standard way to compute future design floods, but may not accurately reflect the projected future pattern of extreme events related to climate change. In applying the latest coupled model...
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Ana M. Petrovic, Igor Le?ce?en and Ivan Radevski
This paper presents a comprehensive analysis of flood frequency and a spatio-temporal characterization of historical torrential floods in the ?umadija region using water discharge datasets and documented events. A chronology of 344 recorded torrential fl...
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Parag C. Pendharkar
This paper proposes a genetic algorithm-based Markov Chain approach that can be used for non-parametric estimation of regression coefficients and their statistical confidence bounds. The proposed approach can generate samples from an unknown probability ...
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Jin Pan, Yong Wang, Tao Wang and Mingcai Xu
With the development of bridge crossings over rivers, the accident of the vessel?bridge collision is increasing as well. It is important to assess probability of bridges colliding with passing ships. Firstly, the AIS (Automatic identify system) data was ...
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Wenhao Sun, Yidong Zou, Yunhe Wang, Boyi Xiao, Haichuan Zhang and Zhihuai Xiao
In the practical production environment, the complexity and variability of hydroelectric units often result in a need for more fault data, leading to inadequate accuracy in fault identification for data-driven intelligent diagnostic models. To address th...
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