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Multivariate fire risk models using copula regression in Kalimantan, Indonesia
Forest fires have become a national issue yearly and elicited serious attention from the government and researchers in Indonesia. Copula-based joint...
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Assessing the complex interplay of airborne pollutants and lung cancer prevalence via the improved decision tree-based vine copula modeling
Lung cancer stands as a prevalent respiratory ailment worldwide, with its incidence intricately linked to air pollution. Investigating this...
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Development of decomposition-based model using Copula-GARCH approach to simulate instantaneous peak discharge
Estimation of instantaneous peak discharge is important in the design of hydraulic structures and reservoir management. In this study, a new approach...
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Performance comparison of IHACRES, random forest and copula-based models in rainfall-runoff simulation
In this study, two models of Random Forest and copula-based simulation were used to evaluate the accuracy and efficiency of the IHACRES...
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Trivariate Probabilistic Assessments of the Compound Flooding Events Using the 3-D Fully Nested Archimedean (FNA) Copula in the Semiparametric Distribution Setting
Severe flooding in coastal areas can result from the joint probability of oceanographic, hydrological, and meteorological factors, resulting in...
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Joint frequency analysis of river flow rate and suspended sediment load using conditional density of copula functions
In this study, the river flow rate and suspended sediment load at Deh Molla hydrometric station in Zohreh River in the period of 1983–2018 were used...
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Develo** an earthquake model based on simultaneous peak ground acceleration occurrences using the D-vine copula approach
Indonesia is susceptible to natural disasters including earthquakes, volcanic eruptions, tsunamis, floods, and landslides. This catastrophe wreaked...
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Ranking and optimizing the rain-gauge networks using the entropy–copula approach (Case study of the Siminehrood Basin, Iran)
The existence of reliable rain-gauge networks is a necessity in managing water sources and the relevant environmental issues in any basin. The...
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A spatial copula interpolation in a random field with application in air pollution data
Interpolating a skewed conditional spatial random field with missing data is cumbersome in the absence of Gaussianity assumptions. Copulas can...
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Multivariate Flood Frequency Analysis Using Bivariate Copula Functions
Multivariate analysis of flood frequency was used extensively in water resources research. Often the only flood peak or volume is analyzed with...
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Bivariate flood distribution analysis under parametric copula framework: a case study for Kelantan River basin in Malaysia
Flood is becoming an intensive hydro-climatic issue at the Kelantan River basin in Malaysia. Univariate frequency analysis would be unreliable due to...
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Joint probability-based classifier based on vine copula method for land use classification of multispectral remote sensing data
Land use classification is fundamental both for monitoring and predicting regional development patterns and for planning and regulating land use....
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Compounding joint impact of rainfall, storm surge and river discharge on coastal flood risk: an approach based on 3D fully nested Archimedean copulas
Compound flooding is a multidimensional consequence of the joint impact of multiple intercorrelated drivers, such as oceanographic, hydrologic, and...
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Detection and forecast of climate change effect on siltation using copulas
Being a subject of a worldwide growing importance, climate change and its impact on future water-management-solutions have become crucial to the...
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Toward coupling of groundwater drawdown and pum** time in a constant discharge
Groundwater is considered an essential water resource in arid and semi-arid regions such as Iran. This study used a copula-based approach to analyze...
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Influence of Cross-Correlation on the Modelled Uncertainty in Stress–Strain Behavior of Soft Clays
Reliability-based design is increasingly being applied to geotechnical problems because it allows the robust consideration of various sources of...
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Periodic Copula Autoregressive Model Designed to Multivariate Streamflow Time Series Modelling
It is a challenge to develop models that can represent the stochastic behaviour of rivers and basins. Currently used streamflow models were...
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Flood hydrograph coincidence analysis of the upper Yangtze River and Dongting Lake, China
In hydrological research, flood events can be analyzed by flood hydrograph coincidence. The duration of the flood hydrograph is a key variable to...
