摘要
选取陕西省大柳塔矿区农田砂壤土作为研究对象,实地测定了土壤紧实度和土壤含水率,对所测数据进行统计分析和线性拟合,并结合4种半经验模型进行对比分析和模拟预测。结果表明:在收割初期大柳塔矿区农田土壤紧实度最低,土壤含水率最高,种植绿豆降低土壤紧实度的效果较好;土壤紧实度与含水率w(8.30%~16.14%)呈线性负相关;线性模型和4种半经验模型均在玉米种植区的拟合效果最好,相关系数均大于0.7;Ayers模型预测效果最佳,能较好地反映半干旱矿区土壤状况。
Farmlands of sandy loam soil in the Daliuta mining in Shaanxi Province was chosen as object of the study. Soil compactness and moisture content was measured in situ for statistical analysis and linear fitting,and furthermore,for comparative analysis in combination with four semi-empirical models in simulation and prediction. Results show that soil at the early harvesting stage was the lowest in compactness,and the highest in soil moisture content; Planting of mung bean reduced soil compactness fairly; soil moisture content in the range of 8. 30%-16. 14% was linearly and negatively related to soil compactness; The linear model and the four semi-empirical models all fitted well in Area B(corn),with correlation coefficients being all higher than 0. 7; Among the models,the Ayers model performed the best in prediction,which means that the model can be used to predict soil conditions of the semi-arid mining areas.
出处
《生态与农村环境学报》
CAS
CSCD
北大核心
2018年第1期74-80,共7页
Journal of Ecology and Rural Environment
基金
江苏省普通高校专业学位研究生创新计划(SJZZ16-0281)
西部重点矿区土地退化因素调查项目(2014FY110800)
国家自然科学基金重点项目(U1361214)
国家重点基础研究发展计划(2013CB227904)