• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于源头导向的生态和人体健康风险评估,确定金冶炼区周边不同保护目标的优先控制有毒金属。

Determining priority control toxic metal for different protection targets based on source-oriented ecological and human health risk assessment around gold smelting area.

机构信息

Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, China.

NJSOIL Ecology & Environmental Co, Ltd., Nanjing 211100, China.

出版信息

J Hazard Mater. 2024 Apr 15;468:133782. doi: 10.1016/j.jhazmat.2024.133782. Epub 2024 Feb 13.

DOI:10.1016/j.jhazmat.2024.133782
PMID:38387175
Abstract

Determining the priority control source and pollutant is the key for the eco-health protection and risk management around gold smelting area. To this end, a case study was conducted to explore the pollution characteristics, source apportionment, ecological risk and human health risk of toxic metals (TMs) in agricultural soils surrounding a gold smelting enterprise. Three effective receptor models, including positive matrix factorization model (PMF), ecological risk assessment (ERA), and probabilistic risk assessment (PRA) have been combined to apportion eco-human risks for different targets. More than 95.0% of samples had a Nemerow pollution index (NPI) > 2 (NPI=4.27), indicating moderately or highly soil TMs contamination. Four pollution sources including gold smelting activity, mining source, agricultural activity and atmosphere deposition were identified as the major sources, with the contribution rate of 17.52%, 44.16%, 13.91%, and 24.41%, respectively. For ecological risk, atmosphere deposition accounting for 30.8% was the greatest contributor, which was mainly loaded on Hg of 51.35%. The probabilistic health risk assessment revealed that Carcinogenic risks and Non-carcinogenic risks of all population were unacceptable, and children suffered from a greater health risk than adults. Gold smelting activity (69.2%) and mining source (42.0%) were the largest contributors to Carcinogenic risks and Non-carcinogenic risks, respectively, corresponding to As and Cr as the target pollutants. The priority pollution sources and target pollutants were different for the eco-health protection. This work put forward a new perspective for soil risk control and management, which is very beneficial for appropriate soil remediation under limited resources and costs.

摘要

确定优先控制源和污染物是金冶炼区生态健康保护和风险管理的关键。为此,进行了一项案例研究,以探索金冶炼企业周边农业土壤中有毒金属(TMs)的污染特征、源解析、生态风险和人体健康风险。将三种有效的受体模型,包括正矩阵因子分解模型(PMF)、生态风险评估(ERA)和概率风险评估(PRA)相结合,对不同目标的生态人类风险进行了分配。超过 95.0%的样本具有 Nemerow 污染指数(NPI)>2(NPI=4.27),表明土壤 TMs 污染中度或高度。确定了包括金冶炼活动、采矿源、农业活动和大气沉积在内的四个污染源作为主要污染源,其贡献率分别为 17.52%、44.16%、13.91%和 24.41%。对于生态风险,占 30.8%的大气沉积是最大的贡献者,主要负载在 Hg 上,占 51.35%。概率健康风险评估显示,所有人群的致癌风险和非致癌风险均不可接受,儿童比成人面临更大的健康风险。金冶炼活动(69.2%)和采矿源(42.0%)是致癌风险和非致癌风险的最大贡献者,对应的目标污染物分别为 As 和 Cr。对于生态健康保护,优先污染源和目标污染物是不同的。这项工作为土壤风险控制和管理提出了新的视角,对于在有限的资源和成本下进行适当的土壤修复非常有益。

相似文献

1
Determining priority control toxic metal for different protection targets based on source-oriented ecological and human health risk assessment around gold smelting area.基于源头导向的生态和人体健康风险评估,确定金冶炼区周边不同保护目标的优先控制有毒金属。
J Hazard Mater. 2024 Apr 15;468:133782. doi: 10.1016/j.jhazmat.2024.133782. Epub 2024 Feb 13.
2
Identification priority source of soil heavy metals pollution based on source-specific ecological and human health risk analysis in a typical smelting and mining region of South China.基于源特定的生态和人体健康风险分析,确定华南典型冶炼矿区土壤重金属污染的优先源。
Ecotoxicol Environ Saf. 2022 Sep 1;242:113864. doi: 10.1016/j.ecoenv.2022.113864. Epub 2022 Jul 18.
3
Quantifying ecological and human health risks of heavy metals from different sources in farmland soils within a typical mining and smelting industrial area.量化典型采矿和冶炼工业区农田土壤中不同来源重金属的生态和人体健康风险。
Environ Geochem Health. 2023 Aug;45(8):5669-5683. doi: 10.1007/s10653-020-00731-y. Epub 2020 Oct 7.
4
Risk Assessment and Source Identification of Toxic Metals in the Agricultural Soil around a Pb/Zn Mining and Smelting Area in Southwest China.中国西南某铅锌矿采冶区周边农田土壤中有毒金属的风险评估与来源识别。
Int J Environ Res Public Health. 2018 Aug 25;15(9):1838. doi: 10.3390/ijerph15091838.
5
Human health risk apportionment from potential sources of heavy metals in agricultural soils and associated uncertainty analysis.农业土壤中重金属潜在来源对人体健康的风险分配及相关不确定性分析
Environ Geochem Health. 2023 Mar;45(3):881-897. doi: 10.1007/s10653-022-01243-7. Epub 2022 Mar 29.
6
Source-specific health risks apportionment of soil potential toxicity elements combining multiple receptor models with Monte Carlo simulation.基于蒙特卡罗模拟的多种受体模型结合方法对土壤潜在毒性元素的源特定健康风险分配。
Sci Total Environ. 2022 Apr 15;817:152899. doi: 10.1016/j.scitotenv.2021.152899. Epub 2022 Jan 10.
7
Ecological-health risks assessment and source apportionment of heavy metals in agricultural soils around a super-sized lead-zinc smelter with a long production history, in China.中国某超大型历史悠久的铅锌冶炼厂周边农田土壤重金属生态健康风险评估及来源解析。
Environ Pollut. 2022 Aug 15;307:119487. doi: 10.1016/j.envpol.2022.119487. Epub 2022 May 18.
8
A comprehensive exploration on the health risk quantification assessment of soil potentially toxic elements from different sources around large-scale smelting area.对大规模冶炼区周围不同来源土壤潜在有毒元素的健康风险量化评估进行全面探讨。
Environ Monit Assess. 2022 Feb 21;194(3):206. doi: 10.1007/s10661-022-09804-0.
9
Ascertaining priority control pollution sources and target pollutants in toxic metal risk management of a medium-sized industrial city.确定中型工业城市有毒金属风险管理中的优先控制污染源和目标污染物。
Sci Total Environ. 2023 Aug 20;887:164022. doi: 10.1016/j.scitotenv.2023.164022. Epub 2023 May 10.
10
Pollution characteristics and health risk assessment of heavy metals in the vegetable bases of northwest China.中国西北地区蔬菜基地重金属的污染特征及健康风险评价。
Sci Total Environ. 2018 Nov 15;642:864-878. doi: 10.1016/j.scitotenv.2018.06.034. Epub 2018 Jun 17.

引用本文的文献

1
Machine learning-assisted source identification and probabilistic ecological-health risk assessment of heavy metal(loid)s in urban park soils.机器学习辅助的城市公园土壤中重金属(类金属)来源识别及概率生态健康风险评估
Sci Rep. 2025 May 20;15(1):17451. doi: 10.1038/s41598-025-02307-1.
2
Enrichment and Source Apportionment of Heavy Metals in Selenium-Enriched Soils in Eastern China.中国东部富硒土壤中重金属的富集与源解析
ACS Omega. 2025 Apr 28;10(17):17661-17672. doi: 10.1021/acsomega.4c11612. eCollection 2025 May 6.