Prediction of migration of PFOS in soil and groundwater in regional NSW

Research output: Other contribution to conferenceAbstract

Abstract

Per- and polyfluoroalkyl substances (PFAS) have polluted both soil and groundwater since 1950. These chemicals are toxic, resist biodegradation, transfer in the environment easily, and accumulate in the body of flora and
fauna. The prediction of their transport in the environment is of paramount importance for environmental managers to decide on the remediation strategies. In this study, the results of transport modeling of PFOS (perfluorooctanesulfonate, one of the dominant PFAS) in a contaminated site in regional NSW are presented. For instance, professional software (Geostudio) encompassing major functions of the contaminant transport was used to predict the level of PFOS in soil and groundwater due to climate interaction for 100 years. The initial physico-chemical parameters and adsorption characteristics of the soil were determined from in-situ tests and laboratory mechanical and chemical analysis. The model showed that with the current situation with no remediation action, the level of PFOS in the groundwater postulates the guideline value for drinking water after 25 years, with a constant increase in its level up to 100 years. The results of the modeling are in good agreement with the data from monitoring well in proximity to the contaminated sit. It should be mentioned that the site is categorised as industrial/commercial land use and the use of groundwater for drinking purposes is highly unlikely.
Original languageEnglish
Pages37
Number of pages1
Publication statusPublished - 26 Nov 2020
EventResearch for a Changing World: ILWS Online Conference 2020 - Online
Duration: 26 Nov 202027 Nov 2020
https://news.csu.edu.au/latest-news/research-for-a-changing-world-an-online-conference
https://www.csu.edu.au/research/ilws/engagement/events/ilws-conference-2020 (program and abstracts)

Conference

ConferenceResearch for a Changing World
Period26/11/2027/11/20
Internet address

Grant Number

  • RM102988

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