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Review
A Bibliometric Perspective on Numerical Simulation to Transport Behaviors of Emerging Pollutants in Soils
Fan Chen 1,2,†, Peilun Wu 3,† and Bomin Fu 1,4,*
1 School of Environmental Science and Engineering, Guangzhou University, Guangzhou 510006, China
2 Guangzhou Design Institute Group Co., Ltd., Guangzhou 510620, China
3 Guangzhou Environmental Engineering of City Construction Co., Ltd., Guangzhou 510010, China
4 College of Environmental Science and Engineering, Tongji University, Siping Rd. 1239, Shanghai 200092, China
* Correspondence: minbofu@163.com
† These co-first authors contributed equally to this work.
Received: 14 January 2025; Revised: 18 March 2025; Accepted: 20 March 2025; Published: 21 March 2025
Abstract: The migration of emerging pollutants in soil poses a potential threat to groundwater systems. Numerical simulation can predict the migration behavior of contaminants and reduce experimental costs. In this study, based on the bibliometric analysis method, CiteSpace software was used to perform big data mining and visualization analysis of the relevant research papers in the Web of Science core dataset from 1994 to 2024. This topic has published 417 papers and 9315 citations in the past 30 years and has shown a rising trend of increasing attention. The U.S. is the country and organization that has published the largest number of papers in this area, accounting for approximately 42% (175) of the total papers. Different research teams have formed close collaborations utilizing their respective strengths to conduct in-depth research in this area. Current research hotspots in this topic include emerging pollutant species, transport behavior, transformation mechanisms, and numerical simulations. Future research will likely focus on the risk assessment and management of emerging pollutants in soil. This provides a new perspective for research on the environmental behavior of emerging pollutants in soil and their early warning and control measures.
Keywords:
emerging pollutants soil longitudinal migration numerical simulation CiteSpaceReferences
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