生态与农村环境学报2025，Vol.41Issue(11)：1402-1411,10.DOI:10.19741/j.issn.1673-4831.2025.0620
基于特征指纹的化工园区地下水污染物溯源研究进展
Research Progress on Groundwater Contaminants Source Tracking in Chemical Industrial Parks Using Finger-printing Technology
摘要
Abstract
Groundwater is a vital component of global water resources.With the advancement of industrialization and ur-banization,groundwater pollution has become increasingly severe,particularly around chemical industrial parks,where contaminants often include complex mixtures of inorganic compounds,heavy metals,and organic pollutants.Due to the in-trinsic connections between groundwater contaminants and the raw materials,processing techniques,and products of asso-ciated enterprises within these parks,fingerprinting-based source tracking technologies are essential for clarifying pollution liability and guiding effective remediation strategies.This paper provides a comprehensive reviews in instrumentation,fin-gerprinting techniques,and source apportionment methodologies for groundwater contamination tracing in chemical indus-trial parks.It highlights the application of isotopic analysis,spectroscopic techniques,and chromatography-mass spectrom-etry in the development of fingerprint database and source identification.The echnical strengths,limitations,operational contexts,and future development directions of these approaches are critically assessed.In the future,the efforts should be made to enrich multi-level characteristic fingerprint databases including park-wide signatures,sector-specific profiles,fa-cility-level fingerprints,and process-unit identifiers,while also advancing integrated low-cost in-situ monitoring technolo-gies and AI-driven intelligent tracing systems.These innovations will support real-time contamination tracking,precise source identification,and informed decision-making for pollution management across operational scales,from individual production units to entire industrial complexes.关键词
地下水污染/溯源/化工园区/特征指纹/同位素分析/荧光光谱法/色谱及质谱指纹技术/源解析Key words
groundwater contamination/contaminant source tracking/chemical industrial parks/fingerprinting technolo-gy/isotopic analysis/fluorescence spectroscopy/chromatography-mass spectrometry/source apportionment分类
资源环境引用本文复制引用
刘颖荣,宋春侠,钱钦,赵锐,马苏甜,时圣洁..基于特征指纹的化工园区地下水污染物溯源研究进展[J].生态与农村环境学报,2025,41(11):1402-1411,10.基金项目
京津冀环境综合治理国家科技重大专项(2025ZD1205901) （2025ZD1205901）
