[1]倪玲珊,岳 荣,方怒放.基于中红外漫反射光谱法预测黄土碳酸钙含量[J].水土保持研究,2020,27(02):142-148.
　NI Lingshan,YUE Rong,FANG Nufang.Estimation of Calcium Carbonate in Loess by Using Mid-Infrared Diffuse Reflectance Spectroscopy[J].Research of Soil and Water Conservation,2020,27(02):142-148.
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基于中红外漫反射光谱法预测黄土碳酸钙含量

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 27 期数: 2020年02期 页码: 142-148 栏目: 出版日期: 2020-03-30
Title:
Estimation of Calcium Carbonate in Loess by Using Mid-Infrared Diffuse Reflectance Spectroscopy
文章编号:
1005-3409(2020)02-0142-07
作者:
倪玲珊1,2, 岳 荣3, 方怒放1,2,3
(1.中国科学院 水利部 水土保持研究所 黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西 杨凌712100; 2.中国科学院大学, 北京 100049; 3.西北农林科技大学 水土保持研究所, 陕西 杨凌 712100)
Author(s):
NI Lingshan1,2, YUE Rong3, FANG Nufang1,2,3
(1.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, CAS & MWR, Yangling, Shaanxi 712100, China; 2.University of Chinese Academy of Sciences, Beijing 100049, China; 3.Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shannxi 712100, China)
关键词:
中红外漫反射光谱;  碳酸钙;  黄土;  回归建模
Keywords:
mid-infrared diffuse reflectance spectroscopy;  calcium carbonate;  loess;  regression modeling
分类号:
S153.6
文献标志码:
A
摘要:
以黄土高原侵蚀严重的丘陵沟壑区7个小流域126个土壤样品和108个沉积泥沙样品为对象,分析了土壤的基本属性及其中红外漫反射光谱特征,将中红外漫反射光谱技术与化学计量法相结合,采用不同的光谱预处理方法,分别利用偏最小二乘回归法、主成分回归法和支持向量机回归法建立土壤碳酸钙的光谱估算模型,并对模型进行验证。结果显示:土壤光谱变量与碳酸钙含量的关系更接近线性相关,偏最小二乘回归法和主成分回归法要优于支持向量机回归法,其中PLSR(SG-Der1st)模型为最优,对土壤(决定系数R2=0.948,相对分析误差RPD=4.426)和沉积泥沙(决定系数R2=0.875,相对分析误差RPD=2.841)均能准确预测其碳酸钙含量。研究结果表明,基于中红外漫反射光谱的碳酸钙含量估算模型能准确定量土壤及沉积泥沙碳酸钙含量,实现了对黄土高原小流域土壤碳酸钙的快速无损测量。
Abstract:
In order to explore the potentiality of predicting calcium carbonate in loess base on mid-infrared diffuse reflectance spectroscopy, a total of 126 soil samples and 108 sediment samples taken from 7 small catchments in hilly-gully regions with severe erosion on the Loess Plateau were selected. Different pretreatment methods were used to establish the calcium carbonate estimation model. The results indicate that the relationship between spectral variables and calcium carbonate content is closer to the linear correlation, the predictions by using PLSR method and PCR method are superior to those by using SVMR method. The PLSR(SG-Der1st)model is optimal, and can accurately predict the calcium carbonate contents of soils(R2=0.948, RPD=4.426)and sediments(R2=0.875, RPD=2.841). In summary, mid-infrared diffuse reflectance spectroscopy can provide a rapid and nondestructive alternative to estimate the calcium carbonate content in loess in the small catchments of the Loess Plateau.

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备注/Memo

收稿日期:2019-12-11 修回日期:2019-12-20 资助项目:国家自然科学基金面上项目“黄土丘陵区小流域泥沙来源对侵蚀环境变化的响应”(41671282) 第一作者:倪玲珊(1984—),女,四川自贡人,博士研究生,研究方向为土壤学。E-mail:lsni@ms.iswc.ac.cn 通信作者:方怒放(1985—),男,安徽铜陵人,博士,研究员,博士生导师,主要从事土壤侵蚀研究。E-mail:fnf@ms.iswc.ac.cn

更新日期/Last Update: 2020-02-25