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土壤重金属空间含量预测的几种分析方法

Several Analytical Methods ofPredicting the Spatial Content of Heavy Metals in Soil
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摘要 土壤重金属空间分布及其影响因素间的相互关系,能够为土壤重金属的污染控制和治理提供一定建议。因此土壤重金属的含量反演一直是国内外环境研究者关注的重点问题之一。近年来,不同学者对各类土壤重金属空间含量分布预测模型进行了研究。文章探讨了土壤重金属空间分布模型建立的必要性,综述了几种主要的土壤重金属空间分布模型的建立与检验,对比了不同模型间的优缺点,以期推动土壤重金属空间分布模型在土壤重金属分布特征研究中的应用。 The relationship between the spatial distribution of soil heavy metals and their influencing factors can provide some suggestions for the pollution control and treatment of soil heavy metals.Therefore,the inversion of soil heavy metal content has been one of the key issues concerned by environmental researchers at home and abroad.In recent years,different scholars have studied the prediction models of spatial distribution of heavy metals in all kinds of soils.In this paper,the necessity of establishing soil heavy metal spatial distribution model was discussed,the establishment and test of several main soil heavy metal spatial distribution models were summarized,and the advantages and disadvantages of different models were compared.In order to promote the application of soil heavy metal spatial distribution model in the study of soil heavy metal distribution characteristics.
作者 张钊熔 石海兰 ZHANG Zhaorong;SHI Hailan
出处 《智慧农业导刊》 2021年第7期32-35,共4页 JOURNAL OF SMART AGRICULTURE
关键词 重金属含量预测 多元线性回归 空间回归 人工神经网络 prediction of heavy metal content multiple linear regression spatial regression artificial neural network
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