• 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

利用 GIS 制图估计洞庭湖平原浅层地下水中砷和重金属的空间分布和健康风险。

Estimation of spatial distribution and health risk by arsenic and heavy metals in shallow groundwater around Dongting Lake plain using GIS mapping.

机构信息

Guangdong Provincial Key Laboratory of Deep Earth Sciences and Geothermal Energy Exploitation and Utilization, Institute of Deep Earth Sciences and Green Energy, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China; Shenzhen Key Laboratory of Deep Underground Engineering Sciences and Green Energy, Shenzhen University, Shenzhen, 518060, China; The 402 Team, The Bureau of Geology and Mineral Resources Exploration of Hunan, Changsha 410014, China.

Guangdong Provincial Key Laboratory of Deep Earth Sciences and Geothermal Energy Exploitation and Utilization, Institute of Deep Earth Sciences and Green Energy, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China; Shenzhen Key Laboratory of Deep Underground Engineering Sciences and Green Energy, Shenzhen University, Shenzhen, 518060, China.

出版信息

Chemosphere. 2021 Apr;269:128698. doi: 10.1016/j.chemosphere.2020.128698. Epub 2020 Oct 22.

DOI:10.1016/j.chemosphere.2020.128698
PMID:33121802
Abstract

Potable groundwater has become the primary water source for the local population because of the serious pollution of As and heavy metals in the surface water around the Dongting Lake Plain. A comprehensive research on the shallow groundwater was performed in this study via geographical information system (GIS) and geochemical method to evaluate groundwater quality and health risks of shallow groundwater in Dongting Lake Plain. Eighty-seven samples were collected and the content of As and twelve other heavy metals (e.g., Al, Fe, Zn, Cu, Mo, Ni, Mn, Co, Ba, Pb, Cd, and Cr) in the samples were detected by inductively coupled plasma-mass spectrum (ICP-MS) technology. The water pollution situation was assessed using heavy metal contents and evaluation indices, and human health risks were evaluated on the basis of both carcinogenic and noncarcinogenic aspects. Results showed that the shallow groundwater quality is moderately to heavily contaminated and should be considered in some areas of the Li and Xiangjiang River coasts. Several regions have the potential of carcinogenic risks induced by As and the groundwater in some regions may have the risk of Cr carcinogenesis in the wet season. These findings suggested that the potential harm caused by Fe, Zn, Mn, Cr, and As pollution of groundwater, especially As and Cr in wet season, must be considered. The spatio-temporal study on the groundwater quality evaluation may be beneficial to the protection and sustainable development of groundwater resources in Dongting Lake Plain.Summary: Although the overall noncarcinogenic health risk by metals in shallow groundwater of Dongting Lake is low, noncarcinogenic health risks caused by Fe, Zn, Mn, and As exist in some areas.

摘要

由于洞庭湖平原周边地表水砷和重金属污染严重,饮用水地下水已成为当地居民的主要水源。本研究采用地理信息系统(GIS)和地球化学方法对浅层地下水进行了综合研究,以评估洞庭湖平原浅层地下水的水质和健康风险。采集了 87 个样本,采用电感耦合等离子体质谱(ICP-MS)技术检测了样本中砷和其他 12 种重金属(如 Al、Fe、Zn、Cu、Mo、Ni、Mn、Co、Ba、Pb、Cd 和 Cr)的含量。利用重金属含量和评价指数评估水污染状况,并从致癌和非致癌两个方面评价人体健康风险。结果表明,浅层地下水水质中度至重度污染,在澧县和湘江沿岸的一些地区应加以考虑。一些地区存在由 As 引起的致癌风险,部分地区在雨季 Cr 也具有致癌风险。这些发现表明,必须考虑地下水 Fe、Zn、Mn、Cr 和 As 污染特别是雨季 As 和 Cr 造成的潜在危害。地下水水质评价的时空研究可能有利于洞庭湖平原地下水资源的保护和可持续发展。

尽管洞庭湖平原浅层地下水中金属的总体非致癌健康风险较低,但在一些地区仍存在 Fe、Zn、Mn 和 As 引起的非致癌健康风险。

相似文献

1
Estimation of spatial distribution and health risk by arsenic and heavy metals in shallow groundwater around Dongting Lake plain using GIS mapping.利用 GIS 制图估计洞庭湖平原浅层地下水中砷和重金属的空间分布和健康风险。
Chemosphere. 2021 Apr;269:128698. doi: 10.1016/j.chemosphere.2020.128698. Epub 2020 Oct 22.
2
Distributions of arsenic and other heavy metals, and health risk assessments for groundwater in the Guanzhong Plain region of China.砷和其他重金属在中国关中平原地区地下水的分布及健康风险评估
Environ Res. 2020 Feb;181:108957. doi: 10.1016/j.envres.2019.108957. Epub 2019 Nov 23.
3
[Metal Pollutions and Human Health Risks in Groundwater from Wet, Normal, and Dry Periods in the Huixian Karst Wetland, China].[中国辉县岩溶湿地湿润、正常和干旱时期地下水中的金属污染与人类健康风险]
Huan Jing Ke Xue. 2021 Jan 8;42(1):184-194. doi: 10.13227/j.hjkx.202005338.
4
[GIS Spatial Distribution and Ecological Risk Assessment of Heavy Metals in Surface Sediments of Shallow Lakes in Jiangsu Province].[江苏省浅水湖泊表层沉积物中重金属的GIS空间分布及生态风险评估]
Huan Jing Ke Xue. 2016 Apr 15;37(4):1321-9.
5
Distribution and health risk assessment of arsenic and selected heavy metals in Groundwater of Chandigarh, India.印度昌迪加尔地下水砷和选定重金属的分布及健康风险评估。
Environ Pollut. 2019 Jul;250:820-830. doi: 10.1016/j.envpol.2019.03.080. Epub 2019 Mar 26.
6
Groundwater Quality, Health Risk Assessment, and Source Distribution of Heavy Metals Contamination around Chromite Mines: Application of GIS, Sustainable Groundwater Management, Geostatistics, PCAMLR, and PMF Receptor Model.地下水质量、健康风险评估以及铬矿周围重金属污染的源分布:GIS、可持续地下水管理、地统计学、南极海洋生物资源保护委员会和 PMF 受体模型的应用。
Int J Environ Res Public Health. 2023 Jan 24;20(3):2113. doi: 10.3390/ijerph20032113.
7
Occurrence and risk assessment of heavy metals in water, sediment, and fish from Dongting Lake, China.中国洞庭湖水中、沉积物中和鱼类中的重金属的出现和风险评估。
Environ Sci Pollut Res Int. 2018 Dec;25(34):34076-34090. doi: 10.1007/s11356-018-3329-8. Epub 2018 Oct 3.
8
Investigation, Pollution Mapping and Simulative Leakage Health Risk Assessment for Heavy Metals and Metalloids in Groundwater from a Typical Brownfield, Middle China.中国中部典型棕地地下水重金属和类金属的调查、污染制图及模拟泄漏健康风险评估
Int J Environ Res Public Health. 2017 Jul 13;14(7):768. doi: 10.3390/ijerph14070768.
9
Contribution of groundwater discharge and associated contaminants input to Dongting Lake, Central China, using multiple tracers (Rn, O, Cl).利用多种示踪剂(镭、氧、氯)研究中国中部洞庭湖的地下水排放及相关污染物输入情况
Environ Geochem Health. 2021 Mar;43(3):1239-1255. doi: 10.1007/s10653-020-00687-z. Epub 2020 Aug 13.
10
Geospatial distribution of metal(loid)s and human health risk assessment due to intake of contaminated groundwater around an industrial hub of northern India.印度北部一个工业中心地区受污染地下水摄入导致的金属(类)的地理空间分布和人体健康风险评估。
Environ Monit Assess. 2018 Feb 12;190(3):136. doi: 10.1007/s10661-018-6525-6.

引用本文的文献

1
Effects of climate variability and urbanization on spatiotemporal patterns of vegetation in the middle and lower Yangtze River Basin, China.气候变化和城市化对中国长江中下游流域植被时空格局的影响。
Front Plant Sci. 2024 Nov 4;15:1459058. doi: 10.3389/fpls.2024.1459058. eCollection 2024.
2
Water quality prediction based on sparse dataset using enhanced machine learning.基于稀疏数据集并使用增强机器学习的水质预测
Environ Sci Ecotechnol. 2024 Mar 1;20:100402. doi: 10.1016/j.ese.2024.100402. eCollection 2024 Jul.
3
Evaluating lake water quality with a GIS-based MCDA integrated approach: a case in Konya/Karapınar.
基于地理信息系统的多准则决策分析集成方法评估湖泊水质:以科尼亚/卡拉皮纳尔为例
Environ Sci Pollut Res Int. 2024 Mar;31(13):19478-19499. doi: 10.1007/s11356-024-32184-6. Epub 2024 Feb 15.
4
Health Risk Assessment of Heavy Metals in Shallow Groundwater of Coal-Poultry Farming Districts.浅层地下水重金属的健康风险评估。
Int J Environ Res Public Health. 2022 Sep 22;19(19):12000. doi: 10.3390/ijerph191912000.
5
In Situ Measurements of Domestic Water Quality and Health Risks by Elevated Concentration of Heavy Metals and Metalloids Using Monte Carlo and MLGI Methods.使用蒙特卡罗和MLGI方法对重金属和类金属浓度升高情况下的生活用水水质及健康风险进行原位测量
Toxics. 2022 Jun 21;10(7):342. doi: 10.3390/toxics10070342.
6
Spatial distribution and source identification for heavy metals in surface sediments of East Dongting Lake, China.中国东洞庭湖表层沉积物中重金属的空间分布与来源识别。
Sci Rep. 2022 May 13;12(1):7940. doi: 10.1038/s41598-022-12148-x.
7
Investigating Health Context Using a Spatial Data Analytical Tool: Development of a Geospatial Big Data Ecosystem.使用空间数据分析工具调查健康背景:地理空间大数据生态系统的开发。
JMIR Med Inform. 2022 Apr 6;10(4):e35073. doi: 10.2196/35073.
8
Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water.基于神经粒子群优化算法的地下水和地表水中重金属浓度原位预测模型
Toxics. 2022 Feb 18;10(2):95. doi: 10.3390/toxics10020095.
9
Identification of Groundwater Pollution Characteristics and Health Risk Assessment of a Landfill in a Low Permeability Area.识别低渗透区垃圾填埋场地下水污染特征及健康风险评估
Int J Environ Res Public Health. 2021 Jul 20;18(14):7690. doi: 10.3390/ijerph18147690.