GUO Zheng,DING Pengpeng,WAN Yukuai,et al.Three-Dimensional Heterogeneous Simulation and Prediction of Groundwater in the Ningxia Yellow River Irrigation District[J].Journal of Northwest Engineering Technology,2026,25(01):9-18.
GUO Zheng,DING Pengpeng,WAN Yukuai,et al.Three-Dimensional Heterogeneous Simulation and Prediction of Groundwater in the Ningxia Yellow River Irrigation District[J].Journal of Northwest Engineering Technology,2026,25(01):9-18. DOI: 10.26974/j.cnki.XBGC.2026.01.002.
Three-Dimensional Heterogeneous Simulation and Prediction of Groundwater in the Ningxia Yellow River Irrigation District
This study aims to analyze the dynamic changes in groundwater levels within the Ningxia Yellow River Irrigation District. By integrating hydrogeological and engineering geological survey data, it precisely characterized the geological heterogeneity of the study area and developed a three-dimensional heterogeneous transient groundwater flow model. Using numerical simulation methods, it forecast groundwater dynamics in the irrigation district. The results indicate that the constructed three-dimensional heterogeneous transient groundwater flow model accurately reflects the dynamic changes in groundwater within the irrigation district. Projections suggest a continued rise in groundwater levels, necessitating corresponding management measures to ensure safety for both residential and agricultural activities. The Baoditan village area exhibits poor soil permeability, rendering it one of the most severely affected regions by groundwater issues, with water table depths ranging from 0.3 to 0.8 m. It proposed various management strategies to address the existing groundwater level challenges. The high- efficiency water-saving strategy resulted in the most significant decrease in groundwater levels, followed by the channel interception strategy, with average groundwater level decline rate of 0.35 and 0.18 m/a, respectively. Considering both effectiveness and practical feasibility, the channel interception strategy is identified as the optimal solution for effectively mitigating groundwater hazards in the irrigation district.
Wu J C , Zeng X K . Review of the uncertainty analysis of groundwater numerical simulation [J]. Chinese Science Bulletin , 2013 , 58 ( 25 ): 3044 - 3052 .
Okofo L B , Martienssen M . A three-dimensional numerical groundwater flow model to assess the feasibility of managed aquifer recharge in the Tamne River Basin of Ghana [J]. Hydrogeology Journal , 2022 , 30 ( 4 ): 1071 - 1090 .
Ghosh B , Pekkat S . An appraisal on the interpolation methods used for predicting spatial variability of field hydraulic conductivity [J]. Water Resources Management , 2019 , 33 ( 6 ): 2175 - 2190 .
Singh V K , Panda K C , Sagar A , et al . Novel genetic algorithm (GA) based hybrid machine learning-pedotransfer Function (ML-PTF) for prediction of spatial pattern of saturated hydraulic conductivity [J]. Engineering Applications of Computational Fluid Mechanics , 2022 , 16 ( 1 ): 1082 - 1099 .
Gómez-Hernández J J , Gorelick S M . Effective groundwater model parameter values: Influence of spatial variability of hydraulic conductivity, leakance, and recharge [J]. Water Resources Research , 1989 , 25 ( 3 ): 405 - 419 .
Xue P P , Wen Z , Zhao D J , et al . Determination of hydraulic conductivity and its spatial variability in the Jianghan Plain using a multi-format, multi-method approach [J]. Journal of Hydrology , 2021 , 594 : 125917 .
Zhang Y , Gable C W , Sheets B . Equivalent hydraulic conductivity of three-dimensional heterogeneous porous media: an upscaling study based on an experimental stratigraphy [J]. Journal of Hydrology , 2010 , 388 ( 3/4 ): 304 - 320 .
Wang T , Liu Y Q , Wang J Z , et al . Assessment of spatial variability of hydraulic conductivity of seasonally frozen ground in Northeast China [J]. Engineering Geology , 2020 , 274 : 105741 .