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土壤重金属含量光谱估算模型的初步研究

发表时间:2009-05-15  浏览量:1386  下载量:646
全部作者: 蒋建军,贺军亮
作者单位: 南京师范大学地理科学学院;石家庄学院资源与环境系
摘 要: 利用遥感光谱法实现对土壤重金属含量的模型估算,为土壤重金属污染状况的快速定量评价开辟了新途径。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,基于土壤有机质含量光谱诊断指数,建立各重金属含量光谱估算模型。研究区土壤样品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,但模型估算精度不太理想。基于有机质光谱诊断指数估算土壤重金属含量的研究思路有一定的理论意义,该思路可以借鉴但实用性仍需验证。
关 键 词: 遥感;土壤;重金属;有机质;高光谱;有机质诊断指数
Title: Research on retrieval model of soil heavy metal content using organic matter identification index
Author: JIANG Jianjun, HE Junliang
Organization: College of Geographical Sciences, Nanjing Normal University;Department of Resources and Environment, Shijiazhuang College
Abstract: The retrieval model of the heavy metal content using quantitative spectrometric analysis provides a new approach to evaluate heavy metal contamination of soil. This paper takes paddy soil in Kunshan as study object. Based on the absorption regularity of heavy metal and by use of regression analysis, this paper uses the organic matter identification index (OII) to make a model for estimating the content of heavy metal in the soil. The result of the correlation analysis showed that the Cu and Pb were the most sensitive elements to the organic matter content, and the next were As, Zn, Cd, Ni, Cr and Hg. However, the accuracy of the retrieval model was unsatisfactory. To a certain extent, it is feasible to use spectrum characteristic of soil organic matter to estimate the content of heavy metals, but the practicability of this method needs further verification.
Key words: remote sensing; soil; heavy metal; organic matter; hyperspectral; organic matter identification index
发表期数: 2009年5月第9期
引用格式: 蒋建军,贺军亮. 土壤重金属含量光谱估算模型的初步研究[J]. 中国科技论文在线精品论文,2009,2(9):956-960.
 
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