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Kyungwon Joo, Ju-Young Shin and Jun-Haeng Heo
For multivariate frequency analysis of hydrometeorological data, the copula model is commonly used to construct joint probability distribution due to its flexibility and simplicity. The Maximum Pseudo-Likelihood (MPL) method is one of the most widely use...
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Panpan Zhao, Haishen Lü, Guobin Fu, Yonghua Zhu, Jianbin Su and Jianqun Wang
This study investigates the sensitivity and uncertainty of hydrological droughts frequencies and severity in the Weihe Basin, China during 1960?2012, by using six commonly used univariate probability distributions and three Archimedean copulas to fit the...
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Panpan Zhao, Haishen Lü, Guobin Fu, Yonghua Zhu, Jianbin Su, Jianqun Wang
Pág. 1 - 15
This study investigates the sensitivity and uncertainty of hydrological droughts frequencies and severity in the Weihe Basin, China during 1960?2012, by using six commonly used univariate probability distributions and three Archimedean copulas to fit the...
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Jaewon Kwak, Soojun Kim, Gilho Kim, Vijay P. Singh, Jungsool Park, Hung Soo Kim
Pág. 1 - 16
Long-term streamflow data are vital for analysis of hydrological droughts. Using an artificial neural network (ANN) model and nine tree-ring indices, this study reconstructed the annual streamflow of the Sacramento River for the period from 1560 to 1871....
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Ali Arkamose Assani
Pág. 1 - 11
Various manmade features (diversions, dredging, regulation, etc.) have affected water levels in the Great Lakes and their outlets since the 19th century. The goal of this study is to analyze the impacts of such features on the stationarity and dependence...
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Jaewon Kwak, Soojun Kim, Gilho Kim, Vijay P. Singh, Jungsool Park and Hung Soo Kim
Long-term streamflow data are vital for analysis of hydrological droughts. Using an artificial neural network (ANN) model and nine tree-ring indices, this study reconstructed the annual streamflow of the Sacramento River for the period from 1560 to 1871....
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Ali Arkamose Assani
Various manmade features (diversions, dredging, regulation, etc.) have affected water levels in the Great Lakes and their outlets since the 19th century. The goal of this study is to analyze the impacts of such features on the stationarity and dependence...
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Kwanghoon Kim, Sangho Lee and Youngkyu Jin
Especially for periods of drought, the higher the accuracy of reservoir inflow forecasting is, the more reliable the water supply from a dam is. This article focuses on the probabilistic forecasting of quarterly inflow to reservoirs, which determines est...
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Kwanghoon Kim, Sangho Lee and Youngkyu Jin
Especially for periods of drought, the higher the accuracy of reservoir inflow forecasting is, the more reliable the water supply from a dam is. This article focuses on the probabilistic forecasting of quarterly inflow to reservoirs, which determines est...
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Shiyu Mou, Peng Shi, Simin Qu, Xiaomin Ji, Lanlan Zhao, Ying Feng, Chen Chen and Fengcheng Dong
The issue of regional design flood composition should be considered when it comes to the analysis of multiple sections. However, the uncertainty accompanied in the process of regional design flood composition point identification is often overlooked in t...
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Dongdong Zuo, Wei Hou, Jingguo Hu
Pág. 1 - 20
Because of the high correlation between random variables of drought duration and severity, their joint distribution is difficult to obtain by traditional mathematical methods. However, the copula method has proved to be a useful tool for analyzing the fr...
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With the increasing rate of wind power installed capacity, voltage state assessment with large-scale wind power integration is of great significance. In this paper, a vine-copula based voltage state assessment method with large-scale wind power integrati...
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Georgia Lazoglou, George Zittis, Christina Anagnostopoulou, Panos Hadjinicolaou and Jos Lelieveld
Numerical models are being used for the simulation of recent climate conditions as well as future projections. Due to the complexity of the Earth?s climate system and processes occurring at sub-grid scales, model results often diverge from the observed v...
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Georgia Lazoglou, Christina Anagnostopoulou, Charalampos Skoulikaris and Konstantia Tolika
During the last few decades, the utilization of the data from climate models in hydrological studies has increased as they can provide data in the regions that lack raw meteorological information. The data from climate models data often present biases co...
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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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Mian Du, Jun Yi, Peyman Mazidi, Lin Cheng and Jianbo Guo
Wind turbine anomaly or failure detection using machine learning techniques through supervisory control and data acquisition (SCADA) system is drawing wide attention from academic and industry While parameter selection is important for modelling a wind t...
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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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Chenfei Shao, Chongshi Gu, Zhenzhu Meng and Yating Hu
Risk assessment of dam?s running status is an important part of dam management. A data-driven method based on monitored displacement data has been applied in risk assessment, owing to its easy operation and real-time analysis. However, previous data-driv...
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Weijie Huang, Yuanmin Yang, Rui Pang and Mingyuan Jing
Studying the impact of mainshock?aftershock sequences on dam reliability is crucial for effective disaster prevention measures. With this purpose in mind, a new method for stochastic dynamic response analyses and reliability assessments of dams during se...
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Cao Wang
The historical vehicles passed through an existing bridge can be regarded as proof-loading tests for the bridge, and, as a result, are evident of the bridge?s performance. Such service history information has been utilized to update the estimate of bridg...
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