Correlation Study of Rainfall and Runoff in Xiangxi River Based on Archimedean Copula Function

2018 International Conference on Advanced Technologies in Energy, Environmental and Electrical Engineering

能源学;生态环境科学;无线电电子学

Yang, Aili^1 ; Si, Yuli^2 ; Fan, Yurui^3 ; Kong, Xiangming^4 ; Lin, Xiajing^1

Key Laboratory of Environmental Biotechnology, Xiamen University of Technology, Xiamen

361024, China^1

People's Government of Datang Town in Zhuji City, Shaoxing

311801, China^2

Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina

SK

S4S 0A2, Canada^3

College of Fundamental Science, Beijing Polytechnic, Beijing

100176, China^4

关键词: Correlation analysis;    Correlation studies;    Goodness-of-fit statistics;    Joint distributions;    Positive correlations;    Rainfall and runoffs;    Spearman's rank correlation coefficients;    Water resources development;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/223/1/012055/pdf
DOI  :  10.1088/1755-1315/223/1/012055

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In the bivariate hydrologic correlation analysis framework, the correlation analysis between rainfall and runoff in Xiangxi River is constructed using Archimedean Copula method. Results show that: (1) the monthly rainfall and runoff in Xiangxi River water shed has a relatively strong positive correlation based on Kendall and Spearman's rank correlation coefficients; (2) the Frank Copula can be able to model the joint distributions of monthly rainfall and runoff according to goodness-of-fit statistic test. The obtained joint distribution can be used to simulate streamflows of Xiangxi River watershed according to the historical and predicted rainfall data, which can provide a basis for watershed water resources development.