基于探地雷达技术的黑土层厚度原位识别

In-situ Identification of the Thickness of Black Soil Layer based on Ground Penetrating Radar

  • 摘要:
    目的 传统的黑土层厚度数据多依赖于野外土壤剖面挖掘获取,调查和采样难度较大,本研究利用探地雷达对我国东北黑土区典型土壤剖面进行黑土层厚度原位探测,并通过剖面调查对探测精度和适用性进行评价。
    方法 采用自动增益和高增益两种不同的采样方法,对30个典型剖面雷达数据进行后期均方根误差增益处理,分析探地雷达的探测精度,进一步探究黑土层厚度、坡度、成土母质和作物类型对探测精度的影响。
    结果 ①自动增益和高增益的采样黑土层厚度检测率为57.6%和96.6%,R2分别为0.97和0.80。②随着黑土层厚度增加,探测精度降低,探地雷达对薄层黑土(0 ~ 30 cm)和中层黑土(30 ~ 60 cm)探测精度较高,R2为0.93和0.91,对厚层黑土(60 ~ 120 cm)的探测效果较差,两种采样方式R2分别为0.72和0.61。③ 探地雷达在大豆地、坡度较陡(6º ~ 15°)、非岩石类母质区域探测精度较高。
    结论 探地雷达对黑土层厚度的原位识别有较好的准确性和适用性,后期的数据处理可以提高黑土层识别的效率和精度。在表层根系扰动较小、坡度较大、母质均匀的区域使用探地雷达,可以一定程度提高黑土层厚度的探测精度。

     

    Abstract:
    Objective The traditional acquisition of the thickness of black soil layer highly relied on the field soil profile excavation, which is difficult to investigate and sample. In this study, the Ground Penetrating Radar (GPR) was utilized to conduct the detection of thickness of black soil layer in-situ in the typical black soil region of northeast China. The accuracy and applicability of identification were also evaluated through the soil profile survey.
    Method Two different sampling methods, automatic gain and high gain from 30 typical black soil profiles, were used to process root-mean-square error gain of radar data in the later stage, to analyze the identification accuracy of GPR, and to explore the influence of black soil layer thickness, slope, parent material and crop type on the identification accuracy.
    Result ① The detection rates of black soil layer thickness for the automatic gain and high gain samples were 57.6% and 96.6%, and the determination coefficients were 0.97 and 0.80. ② The identification efficiency decreased with the increase of the thickness of black soil layer. The detection accuracy of GPR for thin black soil (0-30 cm) and middle black soil (30-60 cm) were higher, with R2 values of 0.93 and 0.91. The detection accuracy for thick layer black soil (60-120 cm) was relatively lower, with R2 of 0.72 and 0.61 for the two sampling methods. ③ The higher GPR identification accuracy were found in soybean fields, steep slopes (6º-15º) and non rocky-material areas.
    Conclusion GPR had good accuracy and applicability for in-situ identification of black soil layer. The latter data processing could improve the efficiency and accuracy of GPR identification accuracy of the thickness of black soil layer. Using GPR in areas with minimal disturbance to the surface root system, steep slopes, and uniform parent material could improve its detection accuracy of the thickness of black soil layer.

     

/

返回文章
返回