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Using methods such as composite index evaluation, probabilistic risk characterization, and multi-attribute decision-making, this study investigates the governance challenges posed by multiple risk sources, diverse receptors, and complex exposure pathways in urban ecological environments. It systematically analyzes the transition of risk sources from natural to anthropogenic and from single to multiple origins, as well as the expansion of risk receptors from human health to broader domains such as socio-economic systems, along with the corresponding evaluation indicators. The results show that integrated assessment models can overcome the limitations of single-method approaches by combining information across ecological, socio-economic, and public health dimensions. These models offer a holistic perspective to effectively address complex risk issues and represent a crucial direction for large-scale urban ecological risk assessments, providing scientific support for sustainable urban development and risk management decision-making.

, authors=Lu LI1, Cun-cun DUAN1, Yi-wei GONG1, Jia-wen ZHANG1, Kai-ming YANG1, Gin GAO1, Zhi-hua CAO2, Hong-guang CHENG1, *, authorsList=Lu LI, Cun-cun DUAN, Yi-wei GONG, Jia-wen ZHANG, Kai-ming YANG, Gin GAO, Zhi-hua CAO, Hong-guang CHENG, authorCompany=null, correspAuthors=Hong-guang CHENG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314917532700598706, articleId=1314917532276974000, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=城市生态环境风险评估方法与模型研究进展, columnId=1234106419604157142, journalTitle=中国环境科学, columnName=环境影响评价与管理, runingTitle=null, highlight=null, articleAbstract=

采用综合指数法、概率风险表征与多属性决策等多种城市生态环境风险评估方法,研究城市生态环境中多风险源、多受体及复杂暴露途径带来的治理挑战,系统分析风险源从自然到人为、从单一到多元的转变过程,以及风险受体从人体健康向社会经济等多领域的扩展与相应的评价指标.结果表明,综合类评价模型能够克服单一模型的局限性,整合生态环境、社会经济、人群健康等多个维度的信息,从全局视角有效应对复杂风险问题,是未来开展大尺度城市生态环境风险评估的重要方向,为城市可持续发展与风险管理决策提供了科学支持.

, authors=李璐1, 段存存1, 龚逸伟1, 张加文1, 杨铠名1, 高进1, 曹智华2, 程红光1, *, authorsList=李璐, 段存存, 龚逸伟, 张加文, 杨铠名, 高进, 曹智华, 程红光, authorCompany=null, correspAuthors=程红光, authorNote=

李璐(2002-),女,安徽铜陵人,北京师范大学硕士研究生,研究方向为生态修复..

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* 责任作者,教授,
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城市生态环境风险评估方法与模型研究进展
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李璐 1 , 段存存 1 , 龚逸伟 1 , 张加文 1 , 杨铠名 1 , 高进 1 , 曹智华 2 , 程红光 1, *
中国环境科学 | 环境影响评价与管理 2025,45(7): 4124-4134
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中国环境科学 |环境影响评价与管理 2025 , 45 (7) : 4124 -4134
城市生态环境风险评估方法与模型研究进展
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李璐1 , 段存存1, 龚逸伟1, 张加文1, 杨铠名1, 高进1, 曹智华2, 程红光1, *
作者信息
  • 1.北京师范大学水科学研究院,北京 100875
  • 2.北京师范大学国际学术交流中心 100082
通讯作者:
* 责任作者,教授,
作者简介:

李璐(2002-),女,安徽铜陵人,北京师范大学硕士研究生,研究方向为生态修复..

Research progress on urban ecological environment risk assessment methods and models
Lu LI1 , Cun-cun DUAN1, Yi-wei GONG1, Jia-wen ZHANG1, Kai-ming YANG1, Gin GAO1, Zhi-hua CAO2, Hong-guang CHENG1, *
Affiliations
  • 1.College of Water Sciences, Beijing Normal University, Beijing 100875, China
  • 2.International Exchange Center, Beijing Normal University, Beijing 100082, China
出版时间: 2025-07-20
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采用综合指数法、概率风险表征与多属性决策等多种城市生态环境风险评估方法,研究城市生态环境中多风险源、多受体及复杂暴露途径带来的治理挑战,系统分析风险源从自然到人为、从单一到多元的转变过程,以及风险受体从人体健康向社会经济等多领域的扩展与相应的评价指标.结果表明,综合类评价模型能够克服单一模型的局限性,整合生态环境、社会经济、人群健康等多个维度的信息,从全局视角有效应对复杂风险问题,是未来开展大尺度城市生态环境风险评估的重要方向,为城市可持续发展与风险管理决策提供了科学支持.

风险源  /  风险受体  /  风险评估方法  /  综合类模型

Using methods such as composite index evaluation, probabilistic risk characterization, and multi-attribute decision-making, this study investigates the governance challenges posed by multiple risk sources, diverse receptors, and complex exposure pathways in urban ecological environments. It systematically analyzes the transition of risk sources from natural to anthropogenic and from single to multiple origins, as well as the expansion of risk receptors from human health to broader domains such as socio-economic systems, along with the corresponding evaluation indicators. The results show that integrated assessment models can overcome the limitations of single-method approaches by combining information across ecological, socio-economic, and public health dimensions. These models offer a holistic perspective to effectively address complex risk issues and represent a crucial direction for large-scale urban ecological risk assessments, providing scientific support for sustainable urban development and risk management decision-making.

risk source  /  risk receptor  /  risk assessment method  /  comprehensive model
李璐, 段存存, 龚逸伟, 张加文, 杨铠名, 高进, 曹智华, 程红光. 城市生态环境风险评估方法与模型研究进展. 中国环境科学, 2025 , 45 (7) : 4124 -4134 .
Lu LI, Cun-cun DUAN, Yi-wei GONG, Jia-wen ZHANG, Kai-ming YANG, Gin GAO, Zhi-hua CAO, Hong-guang CHENG. Research progress on urban ecological environment risk assessment methods and models[J]. China Environmental Science, 2025 , 45 (7) : 4124 -4134 .
  • 国家自然科学基金项目(41771496)
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2025年第45卷第7期
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  • 接收时间:2024-12-20
  • 首发时间:2026-10-08
  • 出版时间:2025-07-20
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  • 收稿日期:2024-12-20
基金
国家自然科学基金项目(41771496)
作者信息
    1.北京师范大学水科学研究院,北京 100875
    2.北京师范大学国际学术交流中心 100082

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* 责任作者,教授,
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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