• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
基于CT扫描技术预测露天煤矿区不同压实土壤水分特征曲线
  • Title

    Prediction of the soil water characteristic curve in an opencast coal mining area based on CT scanning technology

  • 作者

    王金满 张丽娜 冯宇 荆肇睿

  • Author

    WANG Jinman;ZHANG Li’na;FENG Yu;JING Zhaorui

  • 单位

    中国地质大学(北京)土地科学技术学院自然资源部土地整治重点实验室

  • Organization
    School of Land Science and Technology,China University of Geosciences(Beijjing)
    Key Laboratory of Land Consolidation andRehabilitation,Ministry of Natural Resources
  • 摘要

    随着机械化程度的快速增加,露天煤矿区反复机械作业和废料堆积压实会引起土地资源破坏,造成土壤退化和生态失衡。厘清压实对土壤水力特性的影响,对土地复垦和水肥管理具有重要实际意义。本研究采集山西平朔矿区安太堡露天煤矿排土场的表层土壤,在实验室分别制备了2组实验土壤样品,密度范围为1.3~1.8 g/cm3,密度间隔为0.1 g/cm3。其中一组样品用于实验室离心法测定水分特征曲线,另一组基于CT扫描技术结合土壤大孔隙的三维重构技术,预测设定压实范围内的水分特征曲线。通过统计方法对比预测值和实测值的差异验证物理经验模型的预测性能,分析压实作用对土壤水分特征曲线的影响机理。结果显示,CT扫描技术快速便捷获取了土壤大孔隙的分布特征,且随着压实程度增加,土壤大孔隙数量和大孔隙度显著减少,有效降低土壤孔隙间的连接度。对于土壤水分特征曲线的预测值发现,在可预测的密度范围内,土壤含水量随着压实程度增加而迅速降低,这主要是由于压实作用改变了土壤大孔隙的分布特征,土壤内部紧缩,储水效果降低造成的,且预测值和实测值随密度的变化规律相同,模型的预测精度较高。

  • Abstract

    With the rapid increase of mechanization,the compaction caused by repeated mechanical operations andwaste accumulation in open⁃pit coal mine areas will cause the destruction of land resources,resulting in soil degrada⁃tion and ecological imbalance. Clarifying the impact of compaction on soil hydraulic characteristics is of great practicalsignificance for land reclamation,and water and fertilizer management. In this study,the surface soil was collectedfrom the dump of Antaibao opencast coal mine in Pingshuo mining area,Shanxi Province,and two groups of experi⁃mental soil samples were prepared in the laboratory. The bulk density range was 1.3-1.8 g/ cm3,and the bulk densityinterval was 0.1 g/ cm3. One group of samples was used to determine the water characteristic curve by centrifugation construction technology of soil macropores to predict the water characteristic curve within the compaction range.By comparing the difference between the predicted value and the measured value based on statistical method,the pre⁃diction performance of the physical empirical model was verified,and the influence mechanism of compaction on soilwater characteristic curve was analyzed. The results showed that the CT scanning technology can quickly and easily ob⁃tain the distribution characteristics of soil macropores,and with the increase of compaction degree,the number ofsoil macropores and macro⁃porosity significantly decreases,effectively reducing the connectivity between soil pores.For the predicted value of the soil moisture characteristic curve, it is found that in the predictable range ofbulk density,the soil water content decreases rapidly with the increase of compaction,which is mainly due to the com⁃paction’s alteration on the distribution characteristics of soil macropores,the internal compaction of the soil,and thereduction effect of water storage. The predicted value and the measured value vary with the bulk density in the sameway,and the prediction accuracy of the model is higher.

  • 关键词

    CT扫描土壤压实土壤大孔隙特征三维重构水分特征曲线

  • KeyWords

    computed tomography ( CT) scanning; soil compaction; characteristics of soil macropores; three⁃ dimensional reconstruction;soil water characteristic curve

  • 引用格式
    王金满,张丽娜,冯宇,等. 基于CT扫描技术预测露天煤矿区不同压实土壤水分特征曲线[J]. 煤炭学报,2022,47(3):1296-1305.
    WANG Jinman,ZHANG Li’na,FENG Yu,et al. Prediction of the soil water characteristic curve in an opencast coal mining area based on CT scanning technology[J]. Journal of China Coal Society,2022,47(3):1296-1305.
  • 相关专题
  • 图表
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    • 土壤水分特性曲线预测值与实测值的拟合

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主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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