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Ivan Gabriel-Martin, Alvaro Sordo-Ward, Luis Garrote and Juan T. García
This paper focuses on proposing the minimum number of storms necessary to derive the extreme flood hydrographs accurately through event-based modelling. To do so, we analyzed the results obtained by coupling a continuous stochastic weather generator (the...
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Veronika Bacová Mitková, Dana Halmová, Pavla Pekárová and Pavol Miklánek
In hydrological practice, individual elements of the hydrological cycle are most often estimated and evaluated separately. Uncertainty in the size estimation of extrema discharges and their return period can affect the statistical assessment of the signi...
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Giovanni De Luca and Giorgia Rivieccio
Climate change is a significant environmental challenge that affects water resources, agriculture, health, and other aspects of human life. Bivariate modeling is a statistical method used to analyze the relationship between variables such as rainfall and...
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Quan Li, Hang Zeng, Pei Liu, Zhengzui Li, Weihou Yu and Hui Zhou
Recently, the homogenous flood generating mechanism assumption has become questionable due to changes in the underlying surface. In addition, flood is a multifaced natural phenomenon and should be characterized by both peak discharge and flood volume, es...
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Mingwen Zhao, Xiaodong Deng and Jichao Wang
The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention. This work gives a new bivariate method to descr...
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Rentong Chen, Chao Zhang, Shaoping Wang and Li Hong
Reliability estimation for key components of a mechanical system is of great importance in prognosis and health management in aviation industry. Both degradation data and failure time data contain abundant reliability information from different sources. ...
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J. A. Carrillo, M. Nieto, J. F. Velez and D. Velez
A novel forecasting method based on copula functions is proposed. It consists of an iterative algorithm in which a dependent variable is decomposed as a sum of error terms, where each one of them is estimated identifying the input variable which best ?co...
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Jenq-Tzong Shiau and Yu-Cheng Lien
Less-frequent and inadequate sampling of sediment data has negatively impacted the long and continuous records required for the design and operation of hydraulic facilities. This data-scarcity problem is often found in most river basins of Taiwan. This s...
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Luis Angel Espinosa, Maria Manuela Portela, João Dehon Pontes Filho and Martina Zelenakova
This paper explores practical applications of bivariate modelling via copulas of two likely dependent random variables, i.e., of the North Atlantic Oscillation (NAO) coupled with extreme rainfall on the small island of Madeira, Portugal. Madeira, due to ...
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Saba Naz, Muhammad Ahsanuddin, Syed Inayatullah, Tanveer Ahmed Siddiqi and Muhammad Imtiaz
Flooding from the Indus river and its tributaries has regularly influenced the region of Pakistan. Therefore, in order to limit the misfortune brought about by these inevitable happenings, it requires taking measures to estimate the occurrence and effect...
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