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Using visible and near infrared spectroscopy to estimate carbonates and gypsum in soils in arid and subhumid regions of Isfahan, Iran

机译:使用可见光和近红外光谱法估算伊朗伊斯法罕干旱和半湿润地区土壤中的碳酸盐和石膏

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摘要

Soils in arid and semi-arid regions are strongly affected by the accumulation of carbonates, gypsum and other, more soluble, salts. Carbonates and gypsum both have a considerable influence on soil properties, especially the chemical properties of the soil solution. The development of reliable, fast and inexpensive methods to quantify the amounts of carbonates and gypsum in soil is thereforeudimportant. Visible and near infrared (vis-NIR) spectroscopy is a non-destructive, rapid and cheap method for measuring several soil properties simultaneously. However, research on vis-NIR spectroscopy in quantifying carbonates and gypsum is limited. Therefore, this study evaluated the efficiency of vis-NIR spectroscopy in quantifying carbonates and gypsum in surface soils using partial least-squares regression (PLSR) compared with standard laboratory methods and compared PLSR with a feature-specific method using continuum removal (CR). Carbonates and gypsum in a total of 251 sieved and air-dried topsoil samples from Isfahan Province in central Iran were measured by standard laboratory methods and vis-NIR spectroscopy (350–2500 nm wavelength range). In parallel, PLSR and the feature-specific method based on CR spectra were used to predict carbonates and gypsum. The PLSR model efficiency (E) for carbonates and gypsum in the validation set was 0.52 and 0.80, respectively. The PLSR model resulted in better predictions than the feature-specific method for both soil properties. Because of the unique absorption features of gypsum, which did not overlap with other soil properties, predictions of gypsum resulted in higher E values and lower errors than predictions of carbonates.
机译:干旱和半干旱地区的土壤受到碳酸盐,石膏和其他更易溶的盐类累积的强烈影响。碳酸盐和石膏都对土壤性质,特别是土壤溶液的化学性质有很大影响。因此,开发可靠,快速且廉价的方法来量化土壤中碳酸盐和石膏的含量非常重要。可见和近红外(vis-NIR)光谱仪是一种无损,快速且廉价的方法,可同时测量多种土壤特性。然而,关于近红外光谱法定量碳酸盐和石膏的研究是有限的。因此,本研究使用部分最小二乘回归(PLSR)与标准实验室方法比较了可见近红外光谱法定量表层土壤中碳酸盐和石膏的效率,并将PLSR与使用连续去除(CR)的特定功能方法进行了比较。伊朗中部伊斯法罕省的251份筛分和风干的表土样品中的碳酸盐和石膏均通过标准实验室方法和近红外光谱仪(波长范围350–2500 nm)进行了测量。同时,PLSR和基于CR光谱的特征特定方法被用来预测碳酸盐和石膏。验证集中碳酸盐和石膏的PLSR模型效率(E)分别为0.52和0.80。对于两种土壤特性,PLSR模型都比特定于特征的方法产生更好的预测。由于石膏具有独特的吸收特性,与其他土壤特性没有重叠,因此,与碳酸盐的预测相比,石膏的预测导致较高的E值和较低的误差。

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