摘要
为探究地下水埋深和矿化度变化对土壤盐分空间运移的影响,文中以新疆生产建设兵团第三师红旗农场为例,基于2021—2023年田间监测地下水和土壤盐分数据,构建GMS-HYDRUS-2D(groundwater modeling system,GMS)模型,模拟预测了2023年至2035年研究区3个特征点地下水与土壤盐分变化情况.研究结果表明:地下水变化具有周期性,地下水埋深呈现减小的趋势,地下水矿化度和土壤含盐量呈现增加的趋势;GMS-HYDRUS-2D耦合模型的均方根误差小于0.2500,纳什效率系数不小于0.7000,决定系数大于0.6600,模型具有较好的拟合效果,能够呈现土壤含盐量在地下水作用下的变化趋势;2035年模拟期末井1,4,5地下水埋深较2023年同时期分别减小0.44,0.63,0.52 m,采样点3,8,9处土壤表层盐分分别增加0.27,0.87,0.36 g/kg,地下水埋深的减小量与土壤表层盐分累积量呈正相关关系.研究结果可为改善南疆红旗农场土壤盐渍化方案的制定和应用提供理论支撑和科学指导.
In order to investigate the effects of changes in groundwater depth and mineralization on the spatial transportation of soil salt,Hongqi Farm of the Third Division of Xinjiang Production and Construction Corps was selected as the research area and the GMS-HYDRUS-2D(groundwater modeling system,GMS)model was constructed to predict the changes in groundwater and soil salinity at three characteristic points in the study area from 2023 to 2035 based on the field monitoring groundwater and soil salinity data from 2021-2023.The research results show that groundwater changes are cyclical,the groundwater depth shows a decreasing trend,while the mineralization of groundwater and soil sali-nity show an increasing trend.The root mean square error of the GMS-HYDRUS-2D coupling model is less than 0.2500,the Nash efficiency coefficient is greater than 0.7000,and the determination coefficient is greater than 0.6600,which indicate that the model has a good fitting effect and can present the changing trend of soil salinity under the action of groundwater.At the end of the simulation period in 2035,the groundwater depths of wells 1,4 and 5 decrease by 0.44,0.63 and 0.52 m,respectively,compared with the same period in 2023,and the salinity of the soil surface layer in the sampling points 3,8 and 9 increase by 0.27,0.87 and 0.36 g/kg,respectively.Additionally,the decrease in ground-water depth positively correlates with the accumulation of soil surface salt.The research results can provide theoretical support and scientific guidance for the formulation and application of the program to improve soil salinization in Hongqi Farm in southern Xinjiang.
作者
靳华
刘洪光
王潭刚
李鹏飞
孙铭岳
JIN Hua;LIU Hongguang;WANG Tangang;LI Pengfei;SUN Mingyue(College of Water Conservancy&Architectural Engineering,Shihezi University,Shihezi,Xinjiang 832000,China;Key Laboratory of Modern Water-saving Irrigation of Xinjiang Production&Construction Group,Shihezi,Xinjiang 832000,China;Institute of Agricultural Science of the Third Division of Xinjiang Production and Construction Corps,Tumushuke,Xinjiang 843900,China)
出处
《排灌机械工程学报》
北大核心
2025年第6期612-619,627,共9页
Journal of Drainage and Irrigation Machinery Engineering
基金
兵团科技计划项目(2023AB073)。
关键词
地下水
土壤含盐量
数值模型
水盐运移
趋势预测
groundwater
soil salinity
numerical model
water-salt transport
trend prediction
