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Summarize the definition of design return period in existent codes and industry criteria. Joint return periods of different ocean environmental conditions are determined from the view of project life and risk probability. Based on equivalent bivariate maximum entropy distribution, joint design parameters of wave height and wind speed are estimated ...
Sheng Dong
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Journal of Southwest Jiaotong University, 2022
This article highlights a new approach to finding a copula model that most closely matches extreme rainfall characteristics in South Sulawesi, Indonesia. In climatology research, data that does not meet normal assumptions are often found due to extreme observations; therefore, a method is needed to overcome the dependency of variables that do not meet ...
Anwar Fitrianto +2 more
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This article highlights a new approach to finding a copula model that most closely matches extreme rainfall characteristics in South Sulawesi, Indonesia. In climatology research, data that does not meet normal assumptions are often found due to extreme observations; therefore, a method is needed to overcome the dependency of variables that do not meet ...
Anwar Fitrianto +2 more
openaire +1 more source
Joint Probability Estimates of Return Period Flows
Transactions of the ASAE, 1988ABSTRACT IT has long been recognized that the magnitude of flow resulting from a given rainfall depends on the antecedent conditions that exist on the watershed at the time of the rainfall. Current practice for estimating a return period flow is to assume the T-year flow results from the T-year rain and to use this rain with some average set of ...
null C. T. Haan, null D. R. Edwards
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Risk Analysis, 2012
New features of natural disasters have been observed over the last several years. The factors that influence the disasters’ formation mechanisms, regularity of occurrence and main characteristics have been revealed to be more complicated and diverse in nature than previously thought.
Ning, Li +4 more
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New features of natural disasters have been observed over the last several years. The factors that influence the disasters’ formation mechanisms, regularity of occurrence and main characteristics have been revealed to be more complicated and diverse in nature than previously thought.
Ning, Li +4 more
openaire +2 more sources
Quantitative multi-hazard risk assessment with vulnerability surface and hazard joint return period
Stochastic Environmental Research and Risk Assessment, 2014No description ...
Ming X, Xu W, Li Y, Du J, Liu B, Shi P
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Science of The Total Environment, 2015
As a random event, a natural disaster has the complex occurrence mechanism. The comprehensive analysis of multiple hazard factors is important in disaster risk assessment. In order to improve the accuracy of risk analysis and forecasting, the formation mechanism of a disaster should be considered in the analysis and calculation of multi-factors.
Xueqin, Liu +5 more
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As a random event, a natural disaster has the complex occurrence mechanism. The comprehensive analysis of multiple hazard factors is important in disaster risk assessment. In order to improve the accuracy of risk analysis and forecasting, the formation mechanism of a disaster should be considered in the analysis and calculation of multi-factors.
Xueqin, Liu +5 more
openaire +2 more sources
2021
<p>As many other natural hazards, the crop water stress has a typical multivariate nature, i.e., it is characterized by the contemporary presence of multiple characteristics correlated with each other (e.g., duration, severity, peak, areal extension, etc.).
Lorenzo Vergni, Francesca Todisco
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<p>As many other natural hazards, the crop water stress has a typical multivariate nature, i.e., it is characterized by the contemporary presence of multiple characteristics correlated with each other (e.g., duration, severity, peak, areal extension, etc.).
Lorenzo Vergni, Francesca Todisco
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A Copula Framework for the Development of an Integrated Heat Index and Joint Return Period Analysis
Heatwaves pose significant risks to human health, agriculture, and environmental systems and thus have received substantial attention globally. However, the lack of a standardized definition, with thresholds varying in terms of duration, magnitude, and contributing variables, often complicates the evaluation of heatwave risks. Addressing this gap, thisUsman Mohseni, Vinnarasi Rajendran
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