Attribution analysis of different driving forces on vegetation and streamflow variation in the Jialing River Basin, China

As an important tributary of the Yangtze River basin, the Jialing River Basin (JRB) has a variable topography and fragile ecological environment. Under the influence of climate warming and human activities, the runoff and vegetation cover of the area are undergoing significant changes. For evaluatin...

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Bibliographic Details
Published in:Open Geosciences 2022-12, Vol.14 (1), p.1513-1523
Main Authors: Li, Qingsong, Gao, Huishan, Chai, Shan, He, Zongyu, Ji, Guangxing
Format: Article
Language:English
Subjects:
attribution analysis
Budyko equation
Climate change
Environmental protection
Global warming
Jialing River Basin
Mutation
Regression analysis
River basins
Rivers
Runoff
Stream discharge
Stream flow
streamflow variation
Time series
Tributaries
Vegetation
Vegetation changes
Vegetation cover
vegetation variation
Water management
Water resources
Water resources management
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Summary:As an important tributary of the Yangtze River basin, the Jialing River Basin (JRB) has a variable topography and fragile ecological environment. Under the influence of climate warming and human activities, the runoff and vegetation cover of the area are undergoing significant changes. For evaluating the impact of different factors on vegetation and streamflow variation in the JRB, the univariate linear regression method was employed to analyze the variation trend of streamflow and vegetation, and a heuristic segmentation algorithm was applied for identifying the mutation year of streamflow and NDVI time-series data in the JRB. Then, the influence degree of different factors on streamflow variation in the JRB was calculated by the Budyko equation and elastic coefficient method. Finally, the contribution rates of different factors to vegetation variation in the JRB were calculated by the multiple linear regression method. The results indicated that the mutation year of streamflow and NDVI time series data were 1985 and 2006, respectively. The contribution rates of climate factors and human activities to streamflow change in the JRB were 42.7 and 57.3%, respectively. The contribution rates to vegetation change were 28.89 and 71.11%, respectively. In general, human activities are the main driving force leading to runoff and vegetation changes in the JRB. This study can provide a theoretical basis for the ecological environment protection and water resources management of the JRB.
ISSN:2391-5447
2391-5447
DOI:10.1515/geo-2022-0443