土壤重金属含量光谱估算模型的初步研究

Studying on Retrieval of Soil Heavy Metal Content Using the Organic Matter Identification Index

以昆山市水稻土为例,运用统计学相关分析方法,总结分析土壤有机质对不同重金属元素的吸附规律,尝试利用遥感光谱法实现对土壤重金属含量的模型估算。结果表明,研究区土壤有机质对不同重金属吸附强度由大到小的排序为:Cu>Pb>As>Zn>Cd>Ni>Cr>Hg,有机质对Cu和Pb的吸附固持强度较大,相关性显著。基于土壤有机质含量光谱诊断指数,建立了Cu和Pb的光谱估算模型,在一定程度上论证了利用土壤光谱特征间接估算土壤重金属含量的可行性,为土壤重金属污染状况的快速定量评价开辟了新途径。

This paper takes paddy soil in Kunshan as a studying object. According to the result of the correlation analy- sis, the Cu and Pb are the most sensitive elements to the organic matter content, next are As, Zn, Cd, Ni, Cr and Hg. Based on the absorption low of heavy metal, through regression analysis this paper uses the Organic matter Identification Index （OII） to make a model of estimating the content of heavy metal in soil. To a certain extent, using spectrum char- acteristic of soil organic matter to estimate the content of heavy metals is feasible. The retrieval model of the heavy metal content using quantitative spectrometric analysis provides a new approach to the evaluation of heavy metal contamination of soil.