Characteristics and Attribution Analysis of Baseflow Variation in the Ganjiang River Basin from 1980 to 2019

Authors

  • Yueping Deng
  • Yuanqing Liu
  • Yanping Wu
  • Jing Chen
  • Jin Sun
  • Bo Liu

DOI:

https://doi.org/10.54097/dm86v952

Keywords:

Baseflow, Climate Change, Human Activities, Ganjiang River Basin, Contribution Rate

Abstract

This study delineates the baseflow processes in the Ganjiang River Basin using daily streamflow data from 1980 to 2019, and analyzes the variations in baseflow depth and the Baseflow Index (BFI) over the past 40 years. The trends, abrupt changes, and persistence of these parameters were examined. The contribution rates of climate change and human activities to baseflow variations were identified using the elasticity coefficient method. The results indicate that the baseflow processes separated by the three-digital filter method align well with the actual daily baseflow dynamics in the Ganjiang River Basin. Over the past four decades, both baseflow depth and BFI exhibited an insignificantly increasing trend with persistence. The baseflow depth is unevenly distributed within the year, predominantly in spring and summer, while BFI is higher in autumn and winter. The years of abrupt change for baseflow depth and BFI differ, with the former occurring earlier than the latter. Compared to the period of 1980-1991, human activities had a greater impact on baseflow depth during 1992-2019, while the influence of climate factors decreased. The average annual baseflow depth increased by 65.31 mm from 1992 to 2019 compared to the period of 1980-1991, with climate change being the primary contributing factor, accounting for 65.14% of the increase. Among climate factors, precipitation was the main contributor. Human activities contributed to a baseflow depth change of 22.77 mm, accounting for 34.86% of the total increase.

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References

[1] Song, X. M., Zhang, J. Y., Zhan, C. S., et al. Advances in the study of the impacts of climate change and human activities on the hydrological cycle. Journal of Hydraulic Engineering, 2013, 44(07): 779-790. (in Chinese)

[2] Zhang, Y.; Zhong, P.-a.; Chen, J., et al. Impacts of Climate Change and Human Activities on the Three Gorges Reservoir Inflow. Water 2017, 9, 957.

[3] Qin, J.; Ding, Y.; Han, T., et al. Identification of the Factors Influencing the Baseflow in the Permafrost Region of the Northeastern Qinghai-Tibet Plateau. Water 2017, 9, 666.

[4] Qian, K.; Wan, L.; Wang, X., et al. Periodical characteristics of baseflow in the source region of the Yangtze River. Journal of Arid Land 2012, 4, 113–122.

[5] Lv, X. L., Ji, S. B., Qiu, Y. Q., Hao, C. B., Yang, Y. Characteristics and influencing factors of baseflow in the upper reaches of the Fen River Basin. Water Resources Protection, 2022, 38(02): 147-153. (in Chinese)

[6] Sun, Z. D., Huang, Q. Large-scale hydrological effects of land use/cover change in the Yangtze River Basin. Resources and Environment in the Yangtze Basin, 2019, 28(11): 2703-2710. (in Chinese)

[7] Yang, W., Xiao, C., Zhang, Z., et al. Impact of reservoirs on baseflow recession analysis: a case study of the Chaersen Reservoir in Northeast China. Hydrological Sciences Journal, 2021, 66:6, 951-960.

[8] Qi, X.; Feng, K.; Sun, L., et al. Rising agricultural water scarcity in China is driven by expansion of irrigated cropland in water scarce regions. One Earth, 2022, 10, 1139–1152.

[9] Kang, T.; Lee, S.; Lee, N., et al. Baseflow Separation Using the Digital Filter Method: Review and Sensitivity Analysis. Water 2022, 14, 485.

[10] Li, H., Wang, W., Fu, J., et al. Quantifying the relative contribution of climate variability and human activities impacts on baseflow dynamics in the Tarim River Basin, Northwest China. Journal of Hydrology, 2021: 2214-5818.

[11] Li, Q., Wei, X., Zhang, M., et al. The cumulative effects of forest disturbance and climate variability on streamflow components in a large forest-dominated watershed. Journal of Hydrology, 2017: 448-459.

[12] Chen, Y. Y., Wang, Y. D., Yang, X. L. Analysis of the temporal and spatial characteristics and landscape pattern of cultivated land in the Ganjiang River Basin from 1990 to 2015. Journal of Gannan Normal University, 2020, 41(06): 104-111. (in Chinese)

[13] You, H. L., Wu, Y. M., Du, B. X., Dai, X., Yao, Z., Liu, L. Z., Xu, L. G. Analysis of the characteristics of runoff variation and its influencing factors in the Ganjiang River from 1950 to 2016. Water Resources and Hydropower Engineering, 2019, 50(07): 48-54. (in Chinese)

[14] Guo, Q., Ye, X. C., Liu, J., Liu, F. H. Impact of land use change on the spatiotemporal differentiation of watershed hydrological processes: A case study of the Ganjiang River Basin. Resources and Environment in the Yangtze Basin, 2020, 29(12): 2747-2759.(in Chinese)

[15] Guo, P., Chen, X. L., Liu, Y. Analysis of water and sediment changes at Hukou, Waizhou, and Meigang stations of Poyang Lake (1955-2001). Journal of Lake Sciences, 2006(05): 458-463.

[16] NATHAN, R. J., MCMHON, T. A. Evaluation of Automated Techniques for Base-Flow and Recession Analyses. Water Resources Research, 1990, 26(7): 1465-1473.

[17] Zhang, J. Y., Zhang, S. L., Wang, J. X., Li, Y. Research on the trend of annual runoff in the six major river basins of China in recent 50 years. Advances in Water Science, 2007(02): 230-234.

[18] Pettitt, A. N. A non-parametric approach to the changepoint problem. Journal of the Royal Statistical Society: Series C (Applied Statistics), 1979, 28(2): 126-135.

[19] Huang, S., Chang, J., Huang, Q., et al. Quantifying the Relative Contribution of Climate and Human Impacts on Runoff Change Based on the Budyko Hypothesis and SVM Model. Water Resources Manage 30, 2377–2390.

[20] Yang, D. W., Zhang, S. L., Xu, X. Y. Attribution analysis of runoff change in the Yellow River Basin based on the water-heat coupling balance equation. Scientia Sinica Technologica, 2015, 45(10): 1024-1034.

[21] Huang, R., Zhang, J. M., Lin, Y. X., et al. Characteristics and attribution analysis of runoff change in the upper reaches of the Xin'anjiang River Basin. Journal of Natural Resources, 2019, 34(08): 1771-1781.

[22] Li, H., Wang, W., Fu, J., et al. Quantifying the relative contribution of climate variability and human activities impacts on baseflow dynamics in the Tarim River Basin, Northwest China. Journal of Hydrology: Regional Studies, 2021, 36(1-2): 100853.

[23] Liu, G. H., Qi, S. H., Zhu, J. X., et al. Quantitative analysis of the impact of climate change and human activities on the runoff of the Ganjiang River Basin in the Poyang Lake watershed. Journal of Lake Sciences, 2016, 28(003): 682-690. (in Chinese)

[24] Cheng, Y. X., He, Z. Z., Chen, J. T., et al. Research on real-time flood forecasting and optimal dispatching strategy in the post-flood season of Wan'an Reservoir. China Rural Water and Hydropower, 2022, No.481(11): 66-70. (in Chinese)

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Published

23-01-2025

How to Cite

Deng, Y., Liu, Y., Wu, Y., Chen, J., Sun, J., & Liu, B. (2025). Characteristics and Attribution Analysis of Baseflow Variation in the Ganjiang River Basin from 1980 to 2019. Highlights in Science, Engineering and Technology, 127, 19-25. https://doi.org/10.54097/dm86v952