Abstract
Evaluating the effect of ecological water supplement on groundwater restoration quantitatively could produce positive contributions to both water cycle theory and surface–groundwater conjunctive management. Therefore, in this paper, a groundwater flow numerical model has been established after calculating the river section seepage rate using a fuzzy mathematical method in the Yongding River channel. The simulated results show that the model could accurately reflect the real groundwater dynamic features. Then, a data-driven random forest(RF) model has been established to quantitatively evaluate the contributions of the factors which influence the groundwater level variation. The Nash-Sutcliffe efficiency coefficient(NSE) of the RF model is 0.93. It shows excellent ability to identify the rising zone of groundwater level. The study shows that the infiltration capacity is strong in the upstream area of the Yongding River, and the seepage rate is over 0.7. The lowest seepage rate is 0.19 at the downstream end, while the seepage rate in the middle area is basically between 0.4 and 0.7. From 2018 to 2019, the ecological water supplement of the Yongding River has played a significant role in raising the groundwater level along the river channel. Additionally, its contribution analyzed by the RF model to the change of groundwater level is 25%. Groundwater exploitation is the most important variable affecting the groundwater level variation. The impact depth of groundwater level fluctuation reaches about 10 m. The impact range where the groundwater level average uplifts 1.86 m is 502.13 km2. The influence direction gradually changes from around the ecological water supplement section to along the Yongding River channel. The groundwater level variation along the tangential direction of the Yongding River is slowing down. The groundwater level would entirely uplift with 170 × 106 m3/year ecological water supplement of the Yongding River and 35.77 × 106 m3/year groundwater mining reduction in the downstream area until 2035.
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Hebei Natural Science Foundation for Excellent Young Scholars
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference75 articles.
1. Escalante, E.F., Dillon, P., Stefan, C., Sapiano, M., Bonilla, J., and International Association of Hydrogeologists Commission on Managing Aquifer Recharge (2022, December 18). Report of Activities Madrid, May, 2019. Available online: https://recharge.iah.org/.
2. Gale, I., and Dillon, P. (2005). Strategies for Managed Aquifer Recharge (MAR) in Semi-Arid Areas, UNESCO Paris.
3. Water replenishment for ecological flow with an improved water resources allocation model;Yan;Sci. Total Environ.,2018
4. Zheng, Y., Vanderzalm, J., Hartog, N., Escalante, E.F., and Stefan, C. (2022). The 21st century water quality challenges for managed aquifer recharge: Towards a risk-based regulatory approach. Hydrogeol. J.
5. Applicability of artificial recharge of groundwater in the Yongding River alluvial fan in Beijing through numerical simulation;Hao;J. Earth Sci.,2014
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