应用生态学报2018，Vol.29Issue(4)：1042-1050,9.DOI:10.13287/j.1001-9332.201804.012
基于相关系数的水文序列跳跃变异分级原理与方法
Correlation coefficient-based principle and method for the classification of jump degree in hydrological time series
摘要
Abstract
The phenomenon of jump is one of the importantly external forms of hydrological variability under environmental changes,representing the adaption of hydrological nonlinear systems to the influence of external disturbances.Presently,the related studies mainly focus on the methods for identifying the jump positions and jump times in hydrological time series.In contrast,few studies have focused on the quantitative description and classification of jump degree in hydrological time series,which make it difficult to understand the environmental changes and evaluate its potential impacts.Here,we proposed a theatrically reliable and easy-to-apply method for the classification of jump degree in hydrological time series,using the correlation coefficient as a basic index.The statistical tests verified the accuracy,reasonability,and applicability of this method.The relationship between the correlation coefficient and the jump degree of series were described using mathematical equation by derivation.After that,several thresholds of correlation coefficients under different statistical significance levels were chosen,based on which the jump degree could be classified into five levels:no,weak,moderate,strong and very strong.Finally,our method was applied to five different observed hydrological time series,with diverse geographic and hydrological conditions in China.The results of the classification of jump degrees in those series were closely accorded with their physically hydrological mechanisms,indicating the practicability of our method.关键词
跳跃/水文序列/水文变异/显著水平/环境变化Key words
jump/hydrological process/hydrological variability/significance level/environmental change引用本文复制引用
吴子怡,谢平,桑燕芳,顾海挺..基于相关系数的水文序列跳跃变异分级原理与方法[J].应用生态学报,2018,29(4):1042-1050,9.基金项目
本文由国家自然科学基金项目(91547205,91647110,51579181)、湖南省水利科技项目(湘水科计[2015]13-21)和中国科学院地理科学与资源研究所“秉维”优秀青年人才计划项目资助 （91547205,91647110,51579181）
This work was supported by the National Natural Science Foundation of China (91547205,91647110,51579181),the Water Engineering and Science Project of Hunan Province (Xiangshuikeji [2015] 13-21) and the'Bingwei'Youth Innovation Promotion Association of Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences. （91547205,91647110,51579181）
