Rathod Paresh H, Müller Ingo, Van der Meer Freek D, de Smeth Boudewijn
Department of Earth Systems Analysis, Faculty of Geo-information Science and Earth Observation, University of Twente, 7514AE, Enschede, The Netherlands.
Anand Agricultural University, Anand-388110, Gujarat State, India.
Environ Monit Assess. 2015 Oct;188(10):558. doi: 10.1007/s10661-016-5568-9. Epub 2016 Sep 10.
Visible and near infrared reflectance (VNIR; 350-2500 nm) spectroscopy has greatly been used in soils, especially for studying variability in spectrally active soil components (e.g., organic carbon, clays, and Fe/Al oxides) based on their diagnostic spectral features. In recent years, this technique has also been applied to assess soil metallic ions. In this research, the feasibility of VNIR spectroscopy for determination of soil metals was investigated with two soil data sets: (i) artificially metal-spiked and (ii) in situ metal-contaminated soils. Results showed that reflectance spectra of neither metal-spiked soils with Cd, As, and Pb even at their higher concentrations of 20, 900, and 1200 mg kg(-1), respectively, nor in situ metal-contaminated soils (with concentrations of 30 mg Cd, 3019 mg As, and 5725 mg Pb kg(-1) soil) showed any recognized absorption peaks that correspond to soil metal concentrations. We observed variations in reflectance intensity for in situ metal-contaminated soils only, showing higher reflectance across the entire spectrum for strongly and lower for less metal-contaminated soils. A significant correlation was found between surface soil metals' concentrations and continuum removed spectra, while soil metals were also found significantly associated with soil organic matter and total Fe. A partial least square regression with cross-validation approach produced an acceptable prediction of metals (R (2) = 0.58-0.94) for both soil data sets, metal-spiked and in situ metal-contaminated soils. However, high values of root mean square error ruled out practical application of the achieved prediction models.
可见和近红外反射率(VNIR;350 - 2500纳米)光谱技术在土壤研究中得到了广泛应用,特别是用于基于光谱活性土壤成分(如有机碳、粘土和铁/铝氧化物)的诊断光谱特征来研究其变异性。近年来,该技术也被应用于评估土壤金属离子。在本研究中,利用两组土壤数据集研究了VNIR光谱法测定土壤金属的可行性:(i)人工添加金属的土壤和(ii)现场金属污染土壤。结果表明,即使在镉、砷和铅的添加浓度分别高达20、900和1200毫克/千克的情况下,人工添加金属的土壤,以及现场金属污染土壤(镉浓度为30毫克、砷浓度为3019毫克、铅浓度为5725毫克/千克土壤)的反射光谱均未显示出与土壤金属浓度相对应的任何公认吸收峰。我们仅在现场金属污染土壤中观察到反射强度的变化,金属污染程度高的土壤在整个光谱范围内反射率较高,而污染程度较低的土壤反射率较低。发现表层土壤金属浓度与连续统去除光谱之间存在显著相关性,同时还发现土壤金属与土壤有机质和总铁也显著相关。采用交叉验证方法的偏最小二乘回归对人工添加金属的土壤和现场金属污染土壤这两组土壤数据集的金属含量均产生了可接受的预测结果(R² = 0.58 - 0.94)。然而,均方根误差值较高,排除了所建立的预测模型的实际应用可能性。