Copula-based identification of the non-stationarity of the relation between runoff and sediment load  

作　　者：Shengzhi Huang Pei Li Qiang Huang Guoyong Leng 

机构地区：[1]State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area,Xi'an University of Technology [2]Key Laboratory of Water Cycle and Related Land Surface Processes,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

出　　处：《International Journal of Sediment Research》2017年第2期221-230,共10页国际泥沙研究（英文版）

基　　金：supported by the National Natural Science Fund Major Research Plan(91325201);National Department Public Benefit Research Foundation of the Ministry of Water Resources (201501058);the National Major Fundamental Research Program (2011CB403306-2);the National Natural Science Fund Major Research Plan(51190093);the Project of School of Water Resources and Hydropower of Xi'an University of Technology (2016ZZKT-15)

摘　　要：It is important to identify the non-stationarity in the relation between runoff and sediment load under the backdrop of the changing environment. This relation helps to further understand the mechanisms of runoff and sediment yield. A copula-based method was used to detect possible change points in the relation between runoff and sediment load in the Wei River Basin （WRB）, China, where soil erosion is a very severe issue. The modified Mann-Kendall trend test method was applied to obtain the trends of runoff and sediment load spanning 1960-2010 at monthly and annual timescales. Finally, the causes of the identified non-stationarity of the relation between runoff and sediment load were roughly analyzed from the perspective of climate change and human activities. Results indicated that： （1） the runoff and sediment load in the Jinghe and Wei rivers were generally characterized by noticeably decreasing trends at both monthly and annual timescales; （2） both the Jinghe and Wei rivers had a common change point （2002）, implying that the stationarity of the relation between runoff and sediment load in the Jinghe and Wei River was invalid; （3） human activities including increasing water consumption and growing application of soil conservation practices are dominant factors resulting in non-stationarity in the rela- tion between runoff and sediment load in the WRB. This study provides a new idea for identifying the non-stationarity of multivariate relation in the hydro-meteorological field under the background of the changing environment.It is important to identify the non-stationarity in the relation between runoff and sediment load under the backdrop of the changing environment. This relation helps to further understand the mechanisms of runoff and sediment yield. A copula-based method was used to detect possible change points in the relation between runoff and sediment load in the Wei River Basin （WRB）, China, where soil erosion is a very severe issue. The modified Mann-Kendall trend test method was applied to obtain the trends of runoff and sediment load spanning 1960-2010 at monthly and annual timescales. Finally, the causes of the identified non-stationarity of the relation between runoff and sediment load were roughly analyzed from the perspective of climate change and human activities. Results indicated that： （1） the runoff and sediment load in the Jinghe and Wei rivers were generally characterized by noticeably decreasing trends at both monthly and annual timescales; （2） both the Jinghe and Wei rivers had a common change point （2002）, implying that the stationarity of the relation between runoff and sediment load in the Jinghe and Wei River was invalid; （3） human activities including increasing water consumption and growing application of soil conservation practices are dominant factors resulting in non-stationarity in the rela- tion between runoff and sediment load in the WRB. This study provides a new idea for identifying the non-stationarity of multivariate relation in the hydro-meteorological field under the background of the changing environment.

关 键 词：Copula-based method Runoff Sediment load Non-stationarity Change point Human activities 

分 类 号：TV143[水利工程—水力学及河流动力学]