Overview of Modeling, Applications, and Knowledge Gaps for Integrated Large-Scale PFAS Modeling

Article

Raschke, Anna, Nejadhashemi, A. Pouyan and Rafiei, Vahid. 2022. "Overview of Modeling, Applications, and Knowledge Gaps for Integrated Large-Scale PFAS Modeling." Journal of Environmental Engineering. 148 (9). https://doi.org/10.1061/(ASCE)EE.1943-7870.0002033
Article Title

Overview of Modeling, Applications, and Knowledge Gaps for Integrated Large-Scale PFAS Modeling

ERA Journal ID4357
Article CategoryArticle
AuthorsRaschke, Anna, Nejadhashemi, A. Pouyan and Rafiei, Vahid
Journal TitleJournal of Environmental Engineering
Journal Citation148 (9)
Article Number03122003
Number of Pages17
Year2022
PublisherAmerican Society of Civil Engineers
Place of PublicationUnited States
ISSN0733-9372
1943-7870
Digital Object Identifier (DOI)https://doi.org/10.1061/(ASCE)EE.1943-7870.0002033
Web Address (URL)https://ascelibrary.org/doi/10.1061/(ASCE)EE.1943-7870.0002033
Abstract

Perfluoroalkyl substances (PFAS) have been observed around the world in air, water, and soil. Recent research and monitoring studies have alluded to the widespread presence of PFAS, but most observed the impact of PFAS as a snapshot in time and space. In an effort to better understand PFAS fate and transport in the environment, computational models have been developed. Here, we synthesized the model applications of PFAS fate and transport via water medium through surface water, vadose zone, groundwater, and streamflow as well as their uptake and accumulation in plants and aquatic organisms. Meanwhile, the water medium is permeable to incoming (sources) and outgoing (sinks) PFAS compounds. Ultimately, knowledge gaps in modeling PFAS for each environmental area were identified. The knowledge gaps highlight the simplicity of the models to date, with most simulating small and isolated systems. Future work opportunities are apparent for both sampling efforts and model development given the knowledge gaps identified.

KeywordsContaminant fate and transport; Per- and polyfluoroalkyl substances (PFAS); Modeling; Integrated model; Watershed
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsMichigan State University, United States
Institute for Life Sciences and the Environment
Permalink -

https://research.usq.edu.au/item/z0299/overview-of-modeling-applications-and-knowledge-gaps-for-integrated-large-scale-pfas-modeling

Log in to edit
  • 66
    total views
  • 0
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

Groundwater-surface water interactions at wetland interface: Advancement in catchment system modeling
Rafiei, Vahid, Nejadhashemi, A. Pouyan, Mushtaq, Shahbaz, Bailey, Ryan T. and An-Vo, Duc-Anh. 2022. "Groundwater-surface water interactions at wetland interface: Advancement in catchment system modeling." Environmental Modelling and Software. 152, pp. 1-15. https://doi.org/10.1016/j.envsoft.2022.105407
An improved calibration technique to address high dimensionality and non-linearity in integrated groundwater and surface water models
Rafiei, Vahid, Nejadhashemi, A. Pouyan, Mushtaq, Shahbaz, Bailey, Ryan T. and An-Vo, Duc-Anh. 2022. "An improved calibration technique to address high dimensionality and non-linearity in integrated groundwater and surface water models." Environmental Modelling and Software. 149, pp. 1-15. https://doi.org/10.1016/j.envsoft.2022.105312
Opportunities and Challenges of Integrated Large-Scale PFAS Modeling: A Case Study for PFAS Modeling at a Watershed Scale
Raschke, Anna, Nejadhashemi, A. Pouyan, Rafiei, Vahid, Fernandez, Nicolas, Shabani, Afshin and Li, Shu-Guang. 2022. "Opportunities and Challenges of Integrated Large-Scale PFAS Modeling: A Case Study for PFAS Modeling at a Watershed Scale." Journal of Environmental Engineering. 148 (9). https://doi.org/10.1061/(ASCE)EE.1943-7870.0002034
Modeling agricultural non-point source pollution at catchment scale: application, novel calibration and model advancement
Rafiei, Vahid. 2022. Modeling agricultural non-point source pollution at catchment scale: application, novel calibration and model advancement. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7v4q
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
Tao, Hai, Al-Khafaji, Zainab S., Qi, Chongchong, Zounemat-Kermani, Mohammad, Kisi, Ozgur, Tiyasha, Tiyasha, Chau, Kwok-Wing, Nourani, Vahid, Melesse, Assefa M., Elhakeem, Mohamed, Farooque, Aitazaz Ahsan, Nejadhashemi, A. Pouyan, Khedher, Khaled Mohamed, Alawi, Omer A., Deo, Ravinesh C., Shahid, Shamsuddin, Singh, Vijay P. and Yaseen, Zaher Mundher. 2021. "Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions." Engineering Applications of Computational Fluid Mechanics. 15 (1), pp. 1585-1612. https://doi.org/10.1080/19942060.2021.1984992
Modelling hydrological processes and identifying soil erosion sources in a tropical catchment of the Great Barrier Reef using SWAT
Rafiei, Vahid, Ghahramani, Afshin, An-Vo, Duc-Anh and Mushtaq, Shahbaz. 2020. "Modelling hydrological processes and identifying soil erosion sources in a tropical catchment of the Great Barrier Reef using SWAT." Water: an open access journal. 12 (8), pp. 2179-2206. https://doi.org/10.3390/w12082179
Win-win: Improved irrigation management saves water and increases yield for robusta coffee farms in Vietnam
Byrareddy, Vivekananda, Kouadio, Louis, Kath, Jarrod, Mushtaq, Shahbaz, Rafiei, Vahid, Scobie, Michael and Stone, Roger. 2020. "Win-win: Improved irrigation management saves water and increases yield for robusta coffee farms in Vietnam." Agricultural Water Management. 241, pp. 1-12. https://doi.org/10.1016/j.agwat.2020.106350