[1]商美琪,董建玮,谢 晖.新污染物环境归趋模拟研究的文献计量学分析[J].南京师大学报(自然科学版),2026,49(02):120-131.[doi:10.3969/j.issn.1001-4616.2026.02.012]
　Shang Meiqi,Dong Jianwei,Xie Hui.Bibliometric Analysis of Research on Environmental Fate Modeling of Emerging Contaminants[J].Journal of Nanjing Normal University(Natural Science Edition),2026,49(02):120-131.[doi:10.3969/j.issn.1001-4616.2026.02.012]
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新污染物环境归趋模拟研究的文献计量学分析()

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
49
期数:
2026年02期
页码:
120-131
栏目:
环境科学与工程
出版日期:
2026-04-10

文章信息/Info

Title:
Bibliometric Analysis of Research on Environmental Fate Modeling of Emerging Contaminants
文章编号:
1001-4616(2026)02-0120-12
作者:
商美琪1; 2; 董建玮1; 谢 晖2
1.南京师范大学海洋科学与工程学院,海-陆环境演变与生态建设省高校重点实验室,江苏 南京 210023
2.中国科学院南京地理与湖泊研究所,湖泊与流域水安全全国重点实验室,江苏 南京 211135
Author(s):
Shang Meiqi1; 2; Dong Jianwei1; Xie Hui2
1.School of Marine Science and Engineering,Nanjing Normal University,Jiangsu Key Laboratory of Ocean-Land Environmental Change and Ecological Construction,Nanjing 210023,China
2.State Key Laboratory of Lake and Watershed Science for Water Security,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 211135,China
关键词:
新污染物; 环境归趋; 建模方法; 文献计量; 趋势演变
Keywords:
emerging contaminants;  environmental fate;  modeling approaches;  bibliometric analysis;  trend evolution
分类号:
X592
DOI:
10.3969/j.issn.1001-4616.2026.02.012
文献标志码:
A
摘要:
新污染物因来源广泛、环境行为复杂及潜在高风险,已成为全球环境科学研究的前沿热点,环境归趋模拟是揭示其环境行为与生态风险的重要方法. 本研究基于2001—2025年Web of Science核心合集数据库中的相关文献,采用 CiteSpace与VOSviewer两种文献计量与可视化分析工具,对新污染物环境归趋模拟研究进行了系统梳理. 结果表明:该领域经历了起步、稳步发展与快速增长3个阶段,中国在发文数量与国际合作中均处于主导地位; 研究主题主要集中于新污染物环境归趋建模、环境行为驱动因素、污染源识别与模拟分析、气候变化影响及风险评估方向; 研究热点逐步由宏观归趋分析向微观机制解析与区域风险评估转变,并形成以物理模型、化学模型、生物模型、统计模型和综合模型为主的多元建模体系. 未来研究应加强多尺度、多介质与多过程模型的耦合集成,以提升复杂环境系统中新污染物归趋行为的预测能力,并为构建全球适用的风险管控框架与政策制定提供坚实支撑. 相较以往多侧重于新污染物环境赋存与管理的综述,本文聚焦于环境归趋模拟方法,系统量化梳理了该领域的知识结构与演化趋势,突出了模拟研究在新污染物研究方法体系与实际应用中的关键作用.
Abstract:
Emerging contaminants, characterized by diverse sources, complex environmental behaviors, and potential high risks, have become a major focus in environmental science worldwide. Environmental fate modeling is a key approach for understanding their behavior and ecological risks. Using publications from 2001 to 2025 in the Web of Science core collection, this study applies CiteSpace and VOSviewer to conduct a systematic bibliometric and visualization analysis of research on the environmental fate modeling of emerging contaminants. The analysis shows that:The development of the field can be categorized into 3 distinct phases, including an initial stage, steady growth, and rapid expansion. China ranks first in both the number of publications and international collaborations. The research topics primarily focus on environmental fate modeling of emerging contaminants, the driving factors influencing their environmental behavior, source identification and simulation approaches, the impacts of climate change, and risk assessment. Research on emerging contaminants has progressively shifted from large-scale fate analysis to detailed investigations of underlying mechanisms and region-specific risk assessment. This shift has resulted in a modeling framework that combines physical, chemical, biological, statistical, and integrated models. Future work needs to advance the integration of multi-scale, multi-media, and multi-process models to improve predictive capacity in complex environmental systems and to support risk management frameworks and policy development at the global level. Distinct from previous reviews that primarily emphasize contaminant occurrence and management, this study highlights environmental fate modeling, offering a systematic quantitative synthesis of the field's knowledge structure and evolution, and underscoring the methodological and applied contributions of modeling research in emerging contaminant studies.

参考文献/References:

[1]严岩,尤本胜,刘伟京,等. 基于文献计量学的近20年水环境中抗生素污染研究趋势及热点分析[J]. 环境工程技术学报,2023,13(3):1161-1167.
[2]李晓瑞,杨黎彬,郝泽伟,等. 水环境中性激素污染现状及其高级氧化控制技术研究进展[J]. 现代化工,2024(1):18-22.
[3]胡丽雅. 地下水典型药品和个人护理品检测与风险评估[J]. 环境科学与技术,2023,46(增刊1):216-223.
[4]Gredelj A,Barausse A,Grechi L,et al. Deriving predicted no-effect concentrations(PNECs)for emerging contaminants in the river Po,Italy,using three approaches:assessment factor,species sensitivity distribution and AQUATOX ecosystem modelling[J]. Environment International,2018,119:66-78.
[5]刘璇,李俊,李桂杰,等. 基于CiteSpace文献计量的微塑料相关进展与热点研究[J]. 环境科学与管理,2025(5):31-36.
[6]Blumberg B,Iguchi T,Odermatt A. Endocrine disrupting chemicals[J]. The Journal of Steroid Biochemistry and Molecular Biology,2011,127(1/2):1-3.
[7]Wang Z,Chen Q,Hu L,et al. Combined effects of binary antibiotic mixture on growth,microcystin production,and extracellular release of Microcystis aeruginosa:application of response surface methodology[J]. Environmental Science and Pollution Research,2018,25(1):736-748.
[8]Yan Y,Deng Y,Li W,et al. Phytoremediation of antibiotic-contaminated wastewater:insight into the comparison of ciprofloxacin absorption,migration,and transformation process at different growth stages of E.crassipes[J]. Chemosphere,2021,283:131192.
[9]王蕾,邢维龙,范德玲,等. 新污染物治理面临的技术挑战与科技支撑建议[J]. 环境影响评价,2023(2):1-6.
[10]陈晓红,刘晓亮,袁依格,等. 基于人工智能技术的新污染物治理策略与路径研究[J]. 中国工程科学,2025,27(3):152-163.
[11]张子慕,杨崇铭,全红梅,等. 基于逸度方法的多介质环境模型的应用与展望[J]. 延边大学农学学报,2023,45(4):100-106.
[12]Iovino P,Canzano S,Capasso S,et al. A modeling analysis for the assessment of ibuprofen adsorption mechanism onto activated carbons[J]. Chemical Engineering Journal,2015,277:360-367.
[13]Czub G,Mclachlan M S. A food chain model to predict the levels of lipophilic organic contaminants in humans[J]. Environmental Toxicology and Chemistry,2004,23(10):2356-2366.
[14]黄佳怡,缪爱军. 毒代-毒效动力学模型在评估新污染物水生态风险中的应用研究[J]. 生态毒理学报,2025,20(3):93-106.
[15]Lai X,Zhou P,Kong Y,et al. A machine learning and experimental-based model for prediction of soil sorption capacity toward phenanthrene[J]. Environmental Research,2024,244:117898.
[16]雷浪. 基于机器学习的长三角示范区水体新污染物慢性生态风险评估[D]. 上海:华东师范大学,2024.
[17]曹燕,胡双庆,沈根祥,等. 基于文献计量的畜禽养殖废弃物新污染物研究态势分析[J]. 农业环境科学学报,2021,40(11):2296-2304.
[18]祝薇,向雪琴,侯丽朋,等. 基于CiteSpace软件的生态风险知识图谱分析[J]. 生态学报,2018,38(12):4504-4515.
[19]Chen C. Science map:a systematic review of the literature[M]. Beijing:Journal of Data and Information Science,2017.
[20]赵蓉英,许丽敏. 文献计量学发展演进与研究前沿的知识图谱探析[J]. 中国图书馆学报,2010,36(5):60-68.
[21]马硕,陈士欣,华若婷,等. 土壤微塑料的环境行为与生态效应:文献计量分析[J]. 环境生态学,2025,7(7):17-26.
[22]李泽楷,韩淼,秦超,等. 土壤环境中抗生素抗性基因污染研究进展和热点分析[J]. 生态与农村环境学报,2024,40(1):11-22.
[23]杨延梅,杨雯清,刘泉利,等. 基于文献计量的农田土壤新污染物研究进展[J]. 贵州师范大学学报(自然科学版),2025,43(4):29-40.
[24]曹燕,胡双庆,沈根祥,等. 基于文献计量的畜禽养殖废弃物新污染物研究态势分析[J]. 农业环境科学学报,2021,40(11):2296-2304.
[25]张丛林,郑诗豪,邹秀萍,等. 新型污染物风险防范国际实践及其对中国的启示[J]. 中国环境管理,2020,12(5):71-78.
[26]Beyer A,Wania F,Gouin T,et al. Temperature dependence of the characteristic travel distance[J]. Environmental Science & Technology,2003,37(4):766-771.
[27]Bennett D H,Mckone T E,Matthies M,et al. General formulation of characteristic travel distance for semivolatile organic chemicals in a multimedia environment[J]. Environmental Science & Technology,1998,32(24):4023-4030.
[28]Forni C,Cascone A,Fiori M,et al. Sulphadimethoxine and Azolla filiculoides Lam.:a model for drug remediation[J]. Water Research,2002,36(13):3398-3403.
[29]Boxall A B A,Blackwell P,Cavallo R,et al. The sorption and transport of a sulphonamide antibiotic in soil systems[J]. Toxicology Letters,2002,131(1/2):19-28.
[30]Lamon L,Waldow H Von,Macleod M,et al. Modeling the global levels and distribution of polychlorinated biphenyls in air under a climate change scenario[EB]. USA:American Chemical Society,2009.
[31]Wang F,Shih K M,Li X Y. The partition behavior of perfluorooctanesulfonate(PFOS)and perfluorooctanesulfonamide(FOSA)on microplastics[J]. Chemosphere,2015,119:841-847.
[32]Liu G,Zhu Z,Yang Y,et al. Sorption behavior and mechanism of hydrophilic organic chemicals to virgin and aged microplastics in freshwater and seawater[J]. Environmental Pollution,2019,246:26-33.
[33]Allen S,Allen D,Phoenix V R,et al. Atmospheric transport and deposition of microplastics in a remote mountain catchment[J]. Nature Geoscience,2019,12(5):339-344.
[34]Brahney J,Hallerud M,Heim E,et al. Plastic rain in protected areas of the United States[J]. Science,2020,368(6496):1257-1260.
[35]Wania F,Haugen J E,Lei Y D,et al. Temperature dependence of atmospheric concentrations of semivolatile organic compounds[J]. Environmental Science & Technology,1998,32(8):1013-1025.
[36]解怀君,刘昱宏,闫振辉,等. 陆海统筹背景下的新污染物环境多介质空间分异模型[J]. 海洋环境科学,2024,43(6):841-849.
[37]Tcaciuc A P,Borrelli R,Zaninetta L M,et al. Passive sampling of DDT,DDE and DDD in sediments:accounting for degradation processes with reaction-diffusion modeling[J]. Environmental Science:Processes & Impacts,2018,20(1):220-231.
[38]O'Driscoll K,Mayer B,Ilyina T,et al. Modelling the cycling of persistent organic pollutants(POPs)in the North Sea system:Fluxes,loading,seasonality,trends[J]. Journal of Marine Systems,2013(111/112):69-82.
[39]Tong X,You L,Zhang J,et al. A comprehensive modelling approach to understanding the fate,transport and potential risks of emerging contaminants in a tropical reservoir[J]. Water Research,2021,200:117298.
[40]Ding Y,Cui K,Lv K,et al. Revealing the hydrological transport and attenuation of 14 antibiotics in a low-flow stream[J]. Science of the Total Environment,2021,761:143288.
[41]Hong Y,Feng C,Jin X,et al. A QSAR-ICE-SSD model prediction of the PNECs for alkylphenol substances and application in ecological risk assessment for rivers of a megacity[J]. Environment International,2022,167:107367.
[42]Lewis A J,Ebrahimi F,Mckenzie E R,et al. Influence of microbial weathering on the partitioning of per- and polyfluoroalkyl substances(PFAS)in biosolids[J]. Environmental Science:Processes & Impacts,2023,25(3):415-431.
[43]Zhang Q,Ying G,Pan C,et al. Comprehensive evaluation of antibiotics emission and fate in the river basins of China:source analysis,multimedia modeling,and linkage to bacterial resistance[J]. Environmental Science & Technology,2015,49(11):6772-6782.
[44]Xie H,Shang M,Dong J,et al. A distributed and process-based model coupling water-sediment-antibiotic interactions to simulate dynamic source-transport-fate of antibiotics at catchment scale[J]. Journal of Hazardous Materials,2025,483:136681.
[45]Kharraz J A,Jia M,Farid M U,et al. Determination of microplastic pollution in marine ecosystems and its effective removal using an advanced nanobubble flotation technique[J]. Journal of Water Process Engineering,2024,57:104637.
[46]Zhou M,Zhang J,Sun C. Easier removal of nonylphenol and naphthalene pollutants in wet weather revealed by Markov chains modeling[J]. Environmental Chemistry Letters,2018,16(3):1089-1093.
[47]Liang X,Guan Q,Clarke K C,et al. Sorption of perfluoroalkyl acids to fresh and aged nanoscale zerovalent iron particles[J]. Environmental Science & Technology,2018,52(11):6300-6308.
[48]Dong H,Chen Y,Wang J,et al. Interactions of microplastics and antibiotic resistance genes and their effects on the aquaculture environments[J]. Journal of Hazardous Materials,2021,403:123961.
[49]李先国,兰宇宇,孙雨,等. 水环境中典型抗生素的光降解[J]. 中国海洋大学学报(自然科学版),2025,55(4):1-15.
[50]段学军,毛雨润,杜彦强,等. 生物炭去除水中抗生素的研究应用进展[J]. 中原工学院学报,2025,36(3):63-71.
[51]张瞳瞳,胡红美,李铁军,等. 四环素类抗生素的污染现状及去除技术研究进展[J]. 环境科学与管理,2025,50(6):82-87.
[52]Pan C,Xiao S,Yu K,et al. Legacy and alternative per- and polyfluoroalkyl substances in a subtropical marine food web from the Beibu Gulf,South China:Fate,trophic transfer and health risk assessment[J]. Journal of Hazardous Materials,2021,403:123618.

备注/Memo

备注/Memo:
收稿日期:2025-08-15.
基金项目:江苏省高等学校基础科学(自然科学)研究面上项目(24KJB610009)、江苏省研究生科研与实践创新计划项目(KYCX25_1990)、国家自然科学基金项目(42577069,51809177).
通讯作者:董建玮,副教授,研究方向:污染物源迁汇过程与机制研究. E-mail:jwdong@nnu.edu.cn
更新日期/Last Update: 2026-04-10