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The return period analysis of heavy rainfall disasters based on copula joint statistical modeling

Geomatics, Natural Hazards & Risk
This paper analyzes the multivariate and spatial distribution of heavy precipitation disasters and proposes a method for estimating disaster risk using a joint statistical model.
Siyu Liu, Xuguang Dong
doaj   +6 more sources

Simulating Realistic Design Storms: A Joint Return Period Approach

Water Resources Research
Design storms are key components for planning drainage networks and flood risk management. Due to atmospheric processes, precipitation accumulations across multiple temporal intervals are often correlated and can combine to shape flood intensities ...
Tabea Cache, Emanuele Bevacqua, Jakob Zscheischler, Hannes Müller‐Thomy, Nadav Peleg   +4 more
doaj   +4 more sources

Estimation of multivariate design quantiles for drought characteristics using joint return period analysis, Vine copulas, and the systematic sampling method

Journal of Water and Climate Change, 2023
The Wei River Basin has suffered from severe droughts. It is essential to build drought relief projects to cope with drought disasters. Traditionally, design quantiles have been estimated using univariate analysis, in which multiple characteristics of ...
Jie Yang, Jun Yao
doaj   +2 more sources

Calculation of Joint Return Period for Connected Edge Data [PDF]

Water (Switzerland), 2019
For better displaying the statistical properties of measured data, it is particularly important to select a suitable multivariate joint distribution model in ocean engineering. According to the characteristics and properties of Copula functions and the correlation analysis of measured data, the nonlinear relationship between random variables can be ...
Hanliang Fu, GuiLin Liu, Baiyu Chen
exaly   +2 more sources

Multi-factor joint return period of rainstorms and its agricultural risk analysis in Liaoning Province, China [PDF]

Geomatics, Natural Hazards & Risk, 2019
Rainstorms are one of the frequent natural disasters which have significant impact on agricultural production and people’s lives. Considering the comprehensive influence of various factors on the rainstorm events, this study extracts four elements of ...
Yu Feng, Ying Li, Zhiru Zhang, Shiyu Gong, Meijiao Liu, Fei Peng   +5 more
doaj   +2 more sources

A copula-based joint return period approach to characterising extreme rainfall in West Java

Journal of Agrometeorology
Climate change presents recurring challenges in understanding extreme weather events, particularly the persistence of dry and wet periods. West Java is among the region’s most vulnerable to such rainfall variability. This study analyses the relationship
A. NABILA, S. NURDIATI, I. G. P. PURNABA, M. K. NAJIB   +3 more
doaj   +2 more sources

Analysis of wave height return period based on joint probability analysis of different typhoon disaster factors

Applied Ocean Research
In the past, the application of composite extreme value distribution to calculate wave height design value only focused on typhoon frequency, ignoring the influence of other disaster causing factors. Additionally, in the process of calculating the return
Guilin Liu, Bokai Yang, Zongbing Yu, Guoqing Jin   +3 more
doaj   +2 more sources

Extremeness Comparison of Regional Drought Events in Yunnan Province, Southwest China: Based on Different Drought Characteristics and Joint Return Periods

Atmosphere, 2023
Droughts frequently occur in Yunnan province, the southwest of China, which leads to crop loss, ecosystem degradation, and difficulties in drinking water for people.
Ruxin Zhao, Siquan Yang, Hongquan Sun, Lei Zhou, Ming Li, Lisong Xing, Rong Tian   +6 more
doaj   +2 more sources

Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas

Applied Water Science, 2022
Investigating the interaction of water resources such as rainfall, river flow and groundwater level can be useful to know the behavior of water balance in a basin.
Mohammad Nazeri Tahroudi, Yousef Ramezani, Carlo De Michele, Rasoul Mirabbasi   +3 more
doaj   +1 more source

A maximum entropy copula-based frequency analysis method for assessing bivariate drought risk: a case study of the Kaidu River Basin

Journal of Water and Climate Change, 2022
In this study, a maximum entropy copula-based frequency analysis (MECFA) method is developed through integrating maximum entropy, copulas and frequency analysis into a general framework.
X. Yang, Y. P. Li, G. H. Huang
doaj   +1 more source