Wu Yazun, Zhang Dongxiao, Lin Yun, Wang Xiaolin
School of Resources and Environment, Henan Polytechnic University, Jiaozuo, 454003, China.
Collaborative Innovation Center of Coalbed Methane and Shale Gas for Central Plains Economic Region, Jiaozuo, 454003, Henan, China.
Sci Rep. 2024 Oct 29;14(1):26025. doi: 10.1038/s41598-024-77597-y.
Statistical analysis was conducted on groundwater table data in the Ji Yuan Basin from 2006 to 2018, revealing a continuous downward trend in the groundwater table with imminent depletion of shallow groundwater resources. To ensure the sustainable development of groundwater resources in the area, a quantitative model of groundwater table was successfully constructed using the principles of the Quantitative Theory Type I. This model included seven benchmark variables: rainfall, evaporation, exploitation, hydraulic conductivity, specific yield, lithology of the vadose zone, and land-use type. These factors are key contributors to the decline in groundwater levels in the study area. The model yielded an average residual value of 0.35 m and an adjusted R of 0.789, indicating that it can explain 78.9% of the benchmark variables with acceptable accuracy. Additionally, the model successfully simulated four types of groundwater dynamics, with the best results obtained for the rainfall infiltration-exploitation-evaporation type. This study's findings suggest that the model can be utilized to predict the dynamic characteristics of the groundwater table and guide groundwater extraction activities.
对济源盆地2006年至2018年的地下水位数据进行了统计分析，结果显示地下水位呈持续下降趋势，浅层地下水资源即将枯竭。为确保该地区地下水资源的可持续发展，利用一元线性回归原理成功构建了地下水位定量模型。该模型包括七个基准变量：降雨量、蒸发量、开采量、渗透系数、给水度、包气带岩性和土地利用类型。这些因素是研究区地下水位下降的主要原因。该模型的平均残差为0.35米，调整后的R值为0.789，表明该模型能够以可接受的精度解释78.9%的基准变量。此外，该模型成功模拟了四种类型的地下水动态，其中降雨入渗-开采-蒸发型的模拟效果最佳。本研究结果表明，该模型可用于预测地下水位的动态特征并指导地下水开采活动。
