Quantifying engineering parameters of expansive soils from their reflectance spectra
Quantifying engineering parameters of expansive soils from their reflectance spectra
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DOI：
10.1016/j.enggeo.2009.01.004
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发表时间：
2009-05
影响因子：
7.4
通讯作者：
F. A. Yitagesu;F. Meer;H. Werff;W. Zigterman
中科院分区：
文献类型：
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作者：
F. A. Yitagesu;F. Meer;H. Werff;W. Zigterman
建筑工地膨胀土的发生对规划、设计、施工、维护和整体性能，特别是对轻型工程基础设施的影响很大。这类土壤特别容易因季节性气候变化引起的含水量波动而发生大的体积变化。这可能会导致在其上建造的结构变形。在这项研究中，土壤样本是从亚的斯亚贝巴东部收集的。膨胀土具体工程参数为；在土力学实验室测量了Atterberg极限（LL、PL和PI）、自由膨胀和阳离子交换容量。每个土壤样品的反射光谱在遥感实验室使用ASD全量程光谱仪获取。采用多元校正方法偏最小二乘回归（PLSR）分析，通过简单波长法，建立了膨胀土的反射光谱估算工程参数的经验预测模型。CEC、LL、PL、PI和FS的相关系数分别为0.90、0.87、0.71、0.81和0.71。相关系数表明，光谱参数可以解释膨胀土工程参数的很大一部分变化。除了这些高相关系数外，还获得了较小的校准均方根误差（RMSEC）和预测均方根误差（RMSEP），校准标准误差（SEC）和预测标准误差（SEP）和最小偏差。结果表明，光谱学在从膨胀土各自的反射光谱中获得工程参数方面具有潜力，因此，它在支持此类土壤的岩土工程研究方面具有潜在的适用性。
Occurrence of expansive soils in construction sites has serious implications on planning, design, construction, maintenance, and overall performance especially of lightweight engineering infrastructures. Such soils are particularly susceptible to large volume changes in response to moisture content fluctuations following seasonal climatic variations. This can lead to deformation of structures built up on them. For this study, soil samples were collected from the eastern part of Addis Ababa. Specific expansive soil engineering parameters namely; Atterberg limits (LL, PL and PI), free swell and cation exchange capacity were measured in a soil mechanics laboratory. Reflectance spectra of each soil sample were acquired in a remote sensing laboratory using ASD fieldspec full range spectrometer. A multivariate calibration method, partial least squares regression (PLSR) analysis, through simple wavelength approach, was used to construct empirical prediction models for estimating engineering parameters of expansive soils from their respective reflectance spectra. Correlation coefficients of 0.90, 0.87, 0.71, 0.81 and 0.71 for CEC, LL, PL, PI and FS respectively were obtained. The correlation coefficients showed that large portion of variations in engineering parameters of expansive soils could be accounted for by spectral parameters. Apart from these high correlation coefficients, small root mean square errors of calibration (RMSEC) and prediction (RMSEP), standard error of calibration (SEC) and prediction (SEP) and minimum bias were obtained. The results indicate potential of spectroscopy in deriving engineering parameters of expansive soils from their respective reflectance spectra and hence, its potential applicability in supporting geotechnical investigations of such soils.