Identification of impacts of climate change and direct human activities on streamflow in Weihe River Basin in Northwest China

作     者：Fan Jingjing Huang Qiang Liu Dengfeng 

作者机构：Hebei University of EngineeringHandan 056038China State Key Laboratory Base of Eco-Hydraulic Engineering in Arid AreaXi’an University of TechnologyXi’an 710048China 

出 版 物：《International Journal of Agricultural and Biological Engineering》 (国际农业与生物工程学报（英文）)

年 卷 期：2017年第10卷第4期

页      面：119-129页

核心收录：

学科分类：08[工学] 081501[工学-水文学及水资源] 0815[工学-水利工程] 

基　　金：supported by the National Natural Science Foundation of China(Granted No:51190093,51179149,51179148) National Program on Key Basic Research Project(973 Program)in China(2011CB403306-3) Program for New Century Excellent Talents in University(NCET-10-0933) governmental public industry research special funds for projects(201501058)and China Scholarship Council 

主　　题：streamflow,climate change human activities evaporation,hydrological cycle,watershed,Budyko hypothesis,Weihe River basin 

摘      要：Climate change and human activities make major influences on hydrology,which are known to have important impacts on streamflow ***,it is critically important to identify how climate change and human activities will impact streamflow ***,the goal of this study is to identify the impacts of climate change and direct human activities on annual streamflow at four hydrologic stations in the Weihe River basin of China,with the estimation of evaporation based on the Budyko *** Mann-Kendall test was employed to detect the break points of the four *** to the occurrence time of break points,the data series were divided into two periods:pre-change period(1960-1984)and post-change(1985-2010)*** parameter of one-parameter Budyko-type model was calibrated with observed data during the pre-change period,with the R^(2) values ranged from 0.95 to 0.97 and the NSE values ranged from 0.80 to 0.94,and the high R^(2) and Nash-Sutcliffe Efficiency coefficient shows the model has good *** contribution ratios of climate change impacts on decreasing streamflow were 37%,23%,57%and 43%,and those of the impacts of direct human activities were 63%,77%,43%and 57%for the Linjiacun,Xianyang,Lintong and Huaxian station,*** the climate change and direct human activities have positive impacts on streamflow decrease at all of the four stations,and the direct human activities are the main factor causing the decrease of annual streamflow.