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Closing the data gap: Systematic monitoring of PFAS remediation in soil

Closing the data gap: Systematic monitoring of PFAS remediation in soil
缩小数据差距:系统监测土壤中的 PFAS 修复情况
批准号:
DE240100756
负责人:
Dr Shervin Kabiri
金额:
$27.58万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Early Career Researcher Award
财政年份:
2024
资助国家:
澳大利亚
项目状态:
未结题
起止时间:
2024-01-01 至 2026-12-31

项目摘要

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中文摘要
翻译
过去全氟化学品的广泛使用造成了土壤和水道污染,损害了人类和环境健康。处理的最佳选择通常是使用吸附剂来固定全氟辛烷的土壤修复,但是全氟辛烷在处理过的土壤中的长期命运尚不清楚。该项目旨在对土壤中全氟辛烷磺酸和吸附剂随时间变化的行为产生新的见解,并重新设计分析方法,以更好地模拟现场条件。预期的成果包括使工业界和政府机构能够根据每个场址的环境和化学状况制定补救战略的战略和方法,并有效监测进展情况,为人类健康和环境创造更持久的效益。
英文摘要
Extensive past use of perfluorinated chemicals (PFASs) has resulted in soil and waterway contamination, damaging human and environmental health. The best option for treatment is often soil remediation with sorbents to immobilise PFASs, but the long-term fate of PFASs in treated soil is poorly understood. This project aims to generate new insights into PFASs and sorbent behaviour in soils over time, and re-design analytical methods to better mimic field conditions. Expected outcomes include strategies and methods to allow industry and government agencies to tailor remediation strategies to each site’s environmental and chemical profile, and effectively monitor progress to create longer lasting benefits to human health and the environment.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: