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通过对土壤动态的元分析,预测建模和政策整合来绘制PFAS行为

Rajiv Kumar Srivastava¹, Shubhangi Srivastava²

¹Texas A&M University, Biological and Agricultural Engineering Department, Texas, 77843, USA.

The Science of the total environment

|September 9, 2025

概括

和多醇基物质 (PFAS) 污染了农业土壤,不一致的分类阻碍了监管. 标准化术语和采用混合修复策略对于土壤健康和食品安全至关重要.

科学领域:

环境化学环境化学
土壤科学土壤科学
生态毒理学生态毒理学

背景情况:

和多醇基物质 (PFAS) 是农业土壤中越来越多的持久性有机污染物.
这些来源包括生物固体应用,废水灌和大气沉积.
研究中不一致的术语阻碍了监管协调和模型校准.

研究的目的:

在145项研究中对PFAS术语进行元分析.
审查关于PFAS漏的经验数据,分析进步和建模工具.
将全球监管框架进行比较,并提出在农业生态系统中管理PFAS的策略.

主要方法:

关于PFAS术语的145项同行评审研究的元分析.
对PFAS漏深度和分析检测极限的经验数据的审查.
对PFAS运输的建模工具 (HYDRUS,MODFLOW-MT3DMS,CalTOX) 的评估.
全球政策方法的比较分析 (美国环保署,欧盟REACH,奥地利ÖNORM S 2088-2).
评估修复技术,如生物炭应用和等离子体处理.

主要成果:

在 PFAS 子组的分类中发现了重大不一致性 (例如,长链与短链,前体).
PFAS的浸出深度从3厘米 (沙土,低灌) 到10厘米 (粘土,高灌) 不同.
先进的分析技术实现了<0.05μg/kg的检测极限;高光谱无人机提供1米分辨率的热点识别.
生物炭减少了PFOS出>80%;血治疗在2小时内实现了95%的降解.
全球监管框架是分散的,监测和设定门的方法各不相同.

结论:

规范PFAS术语对于监管的一致性和准确的建模至关重要.
综合,多模型模拟和混合整治策略是有效的PFAS管理所需的.
政策融合,数据透明度和国际合作对于维护土壤健康,食品安全和生态弹性至关重要.

关键词:

生物积累生物积累生物积累污染物污染物污染物微生物群中的微生物群政策政策政策政策整治整治整治整治土壤土壤土壤.

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