生态与农村环境学报2025，Vol.41Issue(11)：1421-1430,10.DOI:10.19741/j.issn.1673-4831.2025.0448
基于多源数据融合的污染场地精准调查方法探讨
Exploration of Precision Investigation Method for Contaminated Sites Based on Multi-source Data Fusion
摘要
Abstract
Site investigation serves as the foundation for environmental management of contaminated sites.However,un-certainties exist across various stages of the investigation process,and there is still no unified definition or technical stand-ard for a precise site investigation.This situation constrains the scientific rigor and accuracy of risk control and remediation decisions to some extent.To address this challenge,this study explores a precision investigation method for contaminated sites based on the multi-source data fusion.Guided by the"pollution source-exposure pathway-receptor"framework,a closed-loop mechanism of"data collection-analysis and evaluation-feedback adjustment"is constructed to integrate multi-source data,including site basic information,hydrogeological data,on-site rapid detection results,in-situ pollution auxil-iary detection data,and laboratory test analyses,thereby enabling the dynamic update of the conceptual site model.Mean-while,a progressive investigation mode of"preliminary sampling layout+in-situ auxiliary pollution detection"is adopted.In accordance with the iterative logic of"pollution scope prediction-detection result verification-sampling scheme optimiza-tion",the sampling scheme is dynamically optimized.This method not only achieves the refined characterization of site contamination features and effectively mitigates uncertainties in the investigation process,but also provides theoretical sup-port and practical reference for establishing standardized and normalized technical systems for precision investigation.关键词
污染场地/精准调查/多源数据/污染辅助探测/场地概念模型Key words
contaminated site/precision investigation/multi-source data/pollution auxiliary detection/conceptual site model分类
资源环境引用本文复制引用
刘金光,吕宗祥,黄婷婷,杨飞凯,尹芝华,刘翠翠,王水..基于多源数据融合的污染场地精准调查方法探讨[J].生态与农村环境学报,2025,41(11):1421-1430,10.基金项目
江苏省优先监管地块重点监测项目 （）
国家重点研发计划项目(2022YFC3702500) （2022YFC3702500）
