Frontiers in Environmental Science | 卷:9 |
A Framework for Methodological Options to Assess Climatic and Anthropogenic Influences on Streamflow | |
Chen Xue1  Jiangyu Dai2  Lei Yu2  Yu Zhang2  Shiqiang Wu2  Ang Gao2  Xiufeng Wu2  Fangfang Wang2  Wanyun Xue2  | |
[1] China Energy Investment Corporation Science and Technology Research Institute Co.,Ltd., Nanjing, China; | |
[2] State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, China; | |
关键词: attribution analysis; climate change; human activities; streamflow changes; Upper Yangtze River Basin; | |
DOI : 10.3389/fenvs.2021.765227 | |
来源: DOAJ |
【 摘 要 】
Climate change and human activities are having increasing impacts on the global water cycle, particularly on streamflow. Current methods for quantifying these impacts are numerous and have their merits and limitations. There is a lack of a guide to help researchers select one or more appropriate methods for attribution analysis. In this study, hydrological modeling, statistical analysis, and conceptual approaches were used jointly to develop a methodological options framework consisting of three modules, to guide researchers in selecting appropriate methods and assessing climatic and anthropogenic contributions to streamflow changes. To evaluate its effectiveness, a case study in the Upper Yangtze River Basin (UYRB) of China was conducted. The results suggest that the SWAT-based method is the best approach to quantify the influences of climate change and human activities on streamflow in the UYRB. The comprehensive assessment indicates that climate change is the dominant cause of streamflow changes in the UYRB, and the contribution of climate change, indirect human activities, and direct human activities to streamflow changes is about 7:1:2. The proposed framework is efficient and valuable in assisting researchers to find appropriate methods for attribution analysis of streamflow changes, which can help to understand the water cycle in changing environments.
【 授权许可】
Unknown