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Development of Mid-infrared-based Calibration Equations for Predicting Soil Nitrate; Phosphate, and Organic Matter Concentrations

机译:基于中红外校准方程的研制预测土壤硝酸盐;磷酸盐和有机物质浓度

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The purpose of this paper was to develop calibration equations for predicting nitrate, phosphate, and organic matter concentrations in soil pastes using mid-infrared attenuated total reflection (ATR) spectroscopy. Wavelet analysis was used to locate awavenumberat which the absorbance was due to nitrate alone and not influenced by carbonate or other components in the soil. The absorbance at this location was correlated to the nitrate content. Results of the field experiments gave R~2-values as high as 0.99 and standard errors as low as 8 ppm NO_3-N for individual experiments. Pooling the absorbance values from all eight laboratory and six field soil spectra together gave a R~2-value of 0.98 suggesting that a unique calibration curve exists regardless of soil type. Also, a filter-based, rugged, mid-infrared spectrometer capable of use in a field environment was utilized to develop similar calibration equations for predicting nitrate, phosphorus, and organic matter content in soils. These preliminaryresults are also presented in this paper.
机译:本文的目的是使用中红外衰减的全反射(ATR)光谱来开发用于预测土壤浆料中硝酸盐,磷酸盐和有机物质浓度的校准方程。小波分析用于定位Awavenumberat,吸光度是由于硝酸盐单独而且不受土壤中碳酸盐或其他组分的影响。该位置的吸光度与硝酸盐含量相关。现场实验的结果使R〜2值高达0.99,标准误差低至8 ppm NO_3-N,用于个体实验。汇集来自所有八个实验室和六个场土光谱的吸光度值,使R〜2值为0.98,表明无论土壤类型如何,都存在独特的校准曲线。而且,利用能够在现场环境中使用的基于过滤器的粗糙的中红外光谱仪来开发用于预测硝酸盐,磷和有机物质含量的类似校准方程。本文还提出了这些初级结果。

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