Hierarchical electronic nose detection and assessment technology for the reusage of land contaminated with petroleum hydrocarbons

Abstract

Soil contamination with petroleum hydrocarbons is becoming increasingly serious. Efficient detection and assessment of contamination is conducive to rational land use and precise remediation. In this paper, a hierarchical framework for petroleum hydrocarbon pollution detection and soil assessment based on electronic nose is proposed. The proposed framework includes four independent and collaborative functional modules: petroleum hydrocarbon pollution detection module, pollution level identification module, petroleum hydrocarbon content analysis module and organic matter content analysis module. The experimental results show that the proposed framework can realize pollution detection, level recognition, petroleum hydrocarbon content analysis and organic matter analysis at the same time. The pollution recognition rate reached 98.99%, and the pollution level recognition rate reached 97.67%. The goodness of fit of quantitative analysis of petroleum hydrocarbon content and organic matter content were 0.97 and 0.87 respectively. The hierarchical petroleum hydrocarbon pollution detection and soil assessment framework proposed in this paper can comprehensively reflect the soil information status and provide accurate decision support for land use decision and soil remediation.