Numerical simulation of vadose zone infiltration to recharge groundwater by the well\|pond combined mode
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DOI:10.7606/j.issn.1000-7601.2023.05.07
Key Words: managed aquifer recharge  well\|pond combination model  vadose zone infiltration well  infiltration basin  HYDRUS simulation
Author NameAffiliation
LI Fan College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China 
JIANG Simin College of Civil Engineering, Tongji University, Shanghai 200092, China 
XING Xuguang College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China 
YAN Baowen College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China 
JIANG Ya’nan College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China 
MENG Lingyao College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China 
LI Xianwen College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China 
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Abstract:
      To explore the potential application of the well\|pond combined model in managing aquifer recharge (MAR), HYDRUS software was used to construct a well\|pond combination with a two\|dimensional axisymmetric model. The accuracy of the modeling process was verified by replicating the effect of texture type on the well\|pond combined model. The recharge effects of the well\|pond combined model (WPC), the well without pond model, and the pond without well model under different pond radius (5, 15, 25 m and 35 m)were further analyzed and compared. The effects of different vadose zone texture (sand, loamy sand, sandyloam, loam) and well depth (33, 38, 43 m) on infiltration and recharge were also compared. The results showed that, (1) The reproduction value was in good agreement with the literature value, and the determination coefficient R2 was above 0.98. (2) The recharge effect of the WPC mode under different pond radius was better than the other two recharge modes. However, when the radius of the infiltration pond was 5 m, the cumulative recharge volume at 730 d for the well\|pond combination was 1.02 and 36 times that of the well without pondand pond without well modes, respectively. When the radius of the infiltration pond was increased to 35 m, the cumulative recharge volume at 730 d for the well\|pond combination was 2.6 and 1.54 times that of the well without pond and the pond without well modes. (3) For the WPC model, the cumulative infiltration volume increased linearly with the increasing of infiltration time. However, the cumulative recharge volume then showed a linear increase with time at 26.3 d, 38.9 d, 81.9 d and 164.4 d (when the wetting front reached asteady state) respectively. The time of first arrival of the wetting fronts to the recharge area with increasing texture Ks of the vadose zone was: 0.75, 1.38, 3.63 d and 8.63 d. (4) For every 5 m increase in well depth, the cumulative infiltration volume at 730 d increased by 5.5% and 5.9%, the cumulative recharge volume increased by 9.5% and 9.8%, and the time for the wetting fronts to reach the recharge area for the first time decreased by 31.8% and 25.6%, respectively. This study can provide reference for the optimization design of MAR engineering.