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Evaluating Spatiotemporal Variations of Groundwater–Surface Water Interaction Using an Integrated Hydrological Model in Huashan Basin, China

Author

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  • Lu Zhang

    (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

  • Yunfeng Dai

    (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Jin Lin

    (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Jiangbo Han

    (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Xiaomin Sun

    (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Xue Li

    (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Peng Liu

    (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

  • Aimin Liao

    (Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China)

Abstract

Quantifying the spatiotemporal variations of basin-scale surface water (SW)–groundwater (GW) interactions is vital for the conjunctive management of water resources in the basin. In this study, an integrated hydrological model (SWAT-MODFLOW) is used to simulate the SW–GW system in the Huashan Basin. The numerical model was calibrated and validated using the streamflow observations of the watershed outlet and the groundwater levels of the long-term monitoring wells from 2016 to 2020 in the study area. The model results show that the SWAT–MODFLOW can achieve a better fit for the streamflow discharge, compared with the results in the single SWAT model, with R 2 (coefficient of correlation) and NSE (Nash-Sutcliffe efficiency coefficient) of 0.85 and 0.83, respectively. The water table fitting results indicate that R 2 and RMSE can reach 0.95 and 0.88, respectively. The water budgets analysis demonstrates that the average rate (0.5281 m 3 /s) of GW abstraction to SW is larger than the rate (0.1289 m 3 /s) of SW recharge to GW. Moreover, the exchange rate of SW and GW gradually reaches a peak value from June to August, and the lowest value is shown in April, for each hydrological year. Based on the IPPC6 CanESM5 dataset supplied by the Canadian Climate Centre, the regional precipitation scenario subject to climate change was predicted by the ASD (Auto Statistical Downscaling Model) a statistical downscaling method, under the climate scenarios of SSP2_4.5 and SSP5_8.5. The SW–GW interaction pattern was modeled under the future scenarios in the study area. The current (2016–2020) average annual rate of the SW–GW interaction is considered as the base value. Subject to the SSP2_4.5 scenario, the average exchange rate of the SW recharge to GW is 0.1583 m 3 /s, which is an increase of 22.8%. The average exchange rate of the GW discharge to SW is 0.5189 m 3 /s which is a reduction of 0.017%. Subject to the SSP5_8.5 scenario, the average exchange rate of SW recharge to GW is 0.1469 m 3 /s, which is an increase of 14.7%. The average exchange rate of the GW discharge to SW is 0.5953 m 3 /s, which is an increases of 12.7%. The results can assist in water resource management in the basin, by identifying potential locations of nutrient transport from the aquifer to the river, as well as changes in spatial variability under future climatic conditions.

Suggested Citation

  • Lu Zhang & Yunfeng Dai & Jin Lin & Jiangbo Han & Xiaomin Sun & Xue Li & Peng Liu & Aimin Liao, 2022. "Evaluating Spatiotemporal Variations of Groundwater–Surface Water Interaction Using an Integrated Hydrological Model in Huashan Basin, China," Sustainability, MDPI, vol. 14(21), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14325-:d:960994
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    Cited by:

    1. Seoro Lee & Youn Shik Park & Jonggun Kim & Kyoung Jae Lim, 2023. "Enhanced Hydrological Simulations in Paddy-Dominated Watersheds Using the Hourly SWAT-MODFLOW-PADDY Modeling Approach," Sustainability, MDPI, vol. 15(11), pages 1-21, June.

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