印染助剂2025，Vol.42Issue(4)：57-61,5.
基于元学习的土壤-地下水有机污染物迁移转化小样本分析
Meta-learning based small sample analysis of organic pollutant migration and transformation in soil-groundwater systems
齐劭乾 1张曌天 1李建英 1封梅青 1王美丽 1雒寒梦1
作者信息
- 1. 河北省地质环境监测院,河北 石家庄 050022||河北省地质资源环境监测与保护重点实验室,河北 石家庄 050022
- 折叠
摘要
Abstract
In the small sample analysis of soil-groundwater organic pollutants migration and transforma-tion,the analysis results are difficult to meet the actual accuracy requirements due to insufficient data.In view of this situation,a small sample analysis of soil-groundwater organic pollutants migration and transformation based on meta-learning was proposed.Soil and groundwater samples were collected from multiple contami-nated sites,and data cleaning and normalization were adopted in the overall small sample data set to avoid ab-normal data affecting the analysis results.Based on this,a meta-learning framework was designed based on meta-learning,which could effectively learn from a small number of samples,and complete the training and strengthening of small sample data by learning features from multiple parameters.The key variables related to the migration and transformation of organic pollutants were screened out and the solute concentrations of soil-groundwater organic pollutants were calculated.The experimental results showed that the proposed small sample analysis method based on meta-learning could understand the migration and transformation rule of organic pollutants under different groundwater depth conditions,and the method could be applied to similar environmental pollution migration and transformation research.关键词
元学习/有机污染物/土壤-地下水/迁移转化/小样本分析Key words
meta-learning/organic pollutants/soil-groundwater/migration and transformation/small sample analysis分类
信息技术与安全科学引用本文复制引用
齐劭乾,张曌天,李建英,封梅青,王美丽,雒寒梦..基于元学习的土壤-地下水有机污染物迁移转化小样本分析[J].印染助剂,2025,42(4):57-61,5.
