Review of dependence modeling in hydrology and water resources Academic Article

abstract

• Various methods have been developed over the past five decades for dependence modeling of multivariate variables in hydrology and water resources, but there has been no overall review of techniques commonly used in the field. This paper, therefore, introduces several methods focusing on dependence structure modeling, including parametric distribution, entropy, copula, and nonparametric. Recent advances in modeling dependences mainly reside in nonlinear dependence modeling (including extreme dependence) with flexible marginal distributions, and in high-dimension dependence modeling via the vine copula construction with flexible dependence structures. Strengths and limitations of different methods and avenues for future research, such as dependence modeling in a changing climate, are discussed to aid water resource planners and managers in the selection and application of suitable techniques.

authors

• Singh, Vijay

published proceedings

• PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT

altmetric score

• 0.5

author list (cited authors)

• Hao, Z., & Singh, V. P.

citation count

• 82

publication date

• August 2016

publisher

• SAGE Publications  Publisher

keywords

• Copula
• Dependence Modeling
• Entropy
• Extreme Dependence
• Multivariate Distribution
• Nonparametric Method
• Parametric Distribution
• Spatial Dependence
• Temporal Dependence

Digital Object Identifier (DOI)

• 10.1177/0309133316632460

start page

• 549

end page

• 578

volume

• 40

issue

• 4

URL

• http%3A%2F%2Fdx.doi.org%2F10.1177%2F0309133316632460