期刊
WATER RESEARCH
卷 217, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2022.118418
关键词
Emerging contaminants; Transport and fate; Numerical modelling; Water resources; Aquatic environments
资金
- National University of Singapore PhD Research Scholarship
- Singapore National Research Foundation (NRF) under its Campus for Research Excellence and Technological Enterprise (CREATE) program (E2S2-CREATE project ES-2: Detection, Assessment & Modelling of Emerging Contaminants in the Urban Environment)
- National Natural Science Foundation of China [42077356]
This study reviews and discusses the modeling of emerging contaminants in aquatic environments, critically evaluating the principles, mathematical derivations, development, and applications of various models. Recommendations for improving data quality, monitoring planning, model development, and applications are also provided. The outcomes of this review can lay down a future framework for a comprehensive modeling approach to effectively manage water resources impacted by rising levels of emerging contaminants.
The occurrence of emerging contaminants (ECs), such as pharmaceuticals and personal care products (PPCPs), perfluoroalkyl and polyfluoroalkyl substances (PFASs) and endocrine-disrupting chemicals (EDCs) in aquatic environments represent a major threat to water resources due to their potential risks to the ecosystem and humans even at trace levels. Mathematical modelling can be a useful tool as a comprehensive approach to study their fate and transport in natural waters. However, modelling studies of the occurrence, fate and transport of ECs in aquatic environments have generally received far less attention than the more widespread field and laboratory studies. In this study, we reviewed the current status of modelling ECs based on selected represen-tative ECs, including their sources, fate and various mechanisms as well as their interactions with the sur-rounding environments in aquatic ecosystems, and explore future development and perspectives in this area. Most importantly, the principles, mathematical derivations, ongoing development and applications of various ECs models in different geographical regions are critically reviewed and discussed. The recommendations for improving data quality, monitoring planning, model development and applications were also suggested. The outcomes of this review can lay down a future framework in developing a comprehensive ECs modelling approach to help researchers and policymakers effectively manage water resources impacted by rising levels of ECs.
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