Possibilities of Reflectance Spectroscopy to Predict Soil Arsenic

With the rapid development of economy in China, more and more toxic elements, such as As, are transferred to soils and the soil contamination is becoming more and more serious. To obtain the information of soil properties through conventional laboratory methods is time-consuming and expensive. Therefore, it is important to develop new methods of soil analysis which is fast, convenient and nondestructive. This paper used the partial least squares (PLS) regression to investigate the possibilities of reflectance spectroscopy in the VNIR ranges to predict the content of arsenic in the soil samples. The good results show that soil spectroscopy in VNIR is a promising method for prediction of As concentration in soil.