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A Framework for Methodological Options to Assess Climatic and Anthropogenic Influences on Streamflow

A Framework for Methodological Options to Assess Climatic and Anthropogenic Influences on Streamflow
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.
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering China (People's Republic of)
- Nanjing Hydraulic Research Institute China (People's Republic of)
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering China (People's Republic of)
- State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering China (People's Republic of)
Cartography, Environmental Engineering, Rainfall-Runoff Modeling, Hydrological Modeling, Drainage basin, Streamflow, Social psychology, Environmental science, Global Flood Risk Assessment and Management, Attribution, Hydrological Modeling using Machine Learning Methods, Climate change, Psychology, GE1-350, Environmental resource management, Biology, Streamflow Trends, Water Science and Technology, Climatology, Global and Planetary Change, Geography, Ecology, attribution analysis, FOS: Environmental engineering, Soil and Water Assessment Tool, Geology, streamflow changes, FOS: Earth and related environmental sciences, Upper Yangtze River Basin, Watershed Simulation, Environmental sciences, Surface Water Mapping, FOS: Psychology, climate change, Hydrological Modeling and Water Resource Management, human activities, FOS: Biological sciences, Environmental Science, Physical Sciences, Water cycle
Cartography, Environmental Engineering, Rainfall-Runoff Modeling, Hydrological Modeling, Drainage basin, Streamflow, Social psychology, Environmental science, Global Flood Risk Assessment and Management, Attribution, Hydrological Modeling using Machine Learning Methods, Climate change, Psychology, GE1-350, Environmental resource management, Biology, Streamflow Trends, Water Science and Technology, Climatology, Global and Planetary Change, Geography, Ecology, attribution analysis, FOS: Environmental engineering, Soil and Water Assessment Tool, Geology, streamflow changes, FOS: Earth and related environmental sciences, Upper Yangtze River Basin, Watershed Simulation, Environmental sciences, Surface Water Mapping, FOS: Psychology, climate change, Hydrological Modeling and Water Resource Management, human activities, FOS: Biological sciences, Environmental Science, Physical Sciences, Water cycle
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