准东煤田土壤汞含量的高光谱反演

本文对新疆准东煤田进行实地的野外调查并采集土壤样品,在室内测定风干后的土壤样品光谱反射率,经处理后分析土壤光谱和土壤重金属汞含量的相关性,运用逐步多元线性回归法建立土壤汞含量高光谱估算模型,并由均方根误差(RMSE)和决定系数(R2)检验模型的预测能力和稳定性。结果表明:逐步多元线性回归法建立的模型适合于准东煤田土壤汞含量高光谱估算。其中反射率一阶微分光谱是估算土壤汞含量较好的指标,估算R2为0.93、RMSEP为0.036。研究发现可以通过各种光谱预处理方法提高土壤汞含量的估算精度,从而为研究区生态环境的恢复和评价提供依据。

Prediction of Hg in soil with Reflectance Spectroscopy in ZhunDong Coalfield

In this paper,the correlation between soil spectrum and its Hg content is analyzed on the basis of laboratory measurement and analysis of soil spectrum. Soil samples are collected from the ZhunDong Coalfield, and hyperspectral models for estimating soil Hg content established using Stepwise multiple linear regression. then root mean squared error (RMSE) was introduced to test the predictability and precision of the models, and coefficient of the determination (R2) was used to evaluate stability of the models. Results demonstrate: FDR is optimal index for predicting Hg content, .The Stepwise multiple linear regression (SMLR) is the optimal model to establish the relationship between the soil spectrum and Hg content, which R2 and RMSEP is 0.93 and 0.036. Estimating Hg content of the soil by the reflectance spectra and improving the accuracy of estimation through varieties of pre-processing methods, so it provides a reference for the recovery and estimate of the ecological environment in study area.