• 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

南非金矿尾矿中氡弥散建模的整体方法。

An In Toto Approach to Radon Dispersion Modelling from a South African Gold Mine Tailings.

机构信息

Department of Mathematical and Physical Sciences, Central University of Technology, Private Bag X 20539, Bloemfontein 9300, South Africa.

Faculty of Science, School of Physics, University of the Witwatersrand, Private Bag 3, Braamfontein 2050, South Africa.

出版信息

Int J Environ Res Public Health. 2022 Jul 5;19(13):8201. doi: 10.3390/ijerph19138201.

DOI:10.3390/ijerph19138201
PMID:35805860
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9266810/
Abstract

The USA Environmental Protection Agency's (EPA) Industrial Source Complex Short Term 3 (ISCST3) dispersion modelling code was used to evaluate radon transport and the effects of local variations around tailings dam using a Gaussian plume model. The tailings dam was modelled as point, flat ground and top level, total emitting surface area (true geometry) and volume source geometries. The true area geometry was considered as the baseline source geometry. To improve the accuracy of the model predictions as compared to traditional approaches, the true geometry area source term was corrected to account for cracks and fissures on the tailings and the geometry of tailings dam was modelled by considering all emitting surfaces as sources. Compared to the baseline, the model overpredicted the flat ground area source by up to 274% and underpredicted the top-level area source by up to 50%. The volume emission source was overpredicted by up to 300% in 60% of the modelling runs and underpredicted by 55% in 40% of the volume model runs. While the top-level area source term produced lower concentrations at near-field ground-level receptors, accounting for the wakes effect increased the radon concentrations from the top-level area source of the tailings dam by up to 239%. From the modelling results, the highest concentration predicted by the model from the true geometry source was found to be 0.843 Bq m, which corresponds to the dose of 0.012 mSv/y to the public due to radon from the tailings. This value is less than the 1 mSv/y dose constraint stipulated by the National Nuclear Regulator.

摘要

美国环境保护署(EPA)的工业源综合短期 3(ISCST3)扩散模型代码被用于评估氡的迁移以及尾矿坝周围局部变化的影响,采用高斯烟羽模型。尾矿坝被建模为点状、平坦地面和顶部水平、总排放表面面积(真实几何形状)和体积源几何形状。真实面积几何形状被认为是基准源几何形状。为了提高模型预测的准确性,与传统方法相比,真实几何形状面积源项被修正,以考虑尾矿上的裂缝和裂隙,并且通过考虑所有排放表面作为源,对尾矿坝的几何形状进行建模。与基准相比,模型对平坦地面面积源的预测最高可达 274%,对顶部水平面积源的预测最低可达 50%。在 60%的模拟运行中,体积排放源的预测最高可达 300%,在 40%的体积模型运行中,预测最低可达 55%。虽然顶部水平面积源项在近场地面水平受体处产生较低的浓度,但考虑尾迹效应会使尾矿坝顶部水平面积源的氡浓度增加最高可达 239%。从模拟结果来看,真实几何源模型预测的最高浓度为 0.843 Bq m,这对应于由于尾矿中的氡而对公众造成的 0.012 mSv/y 的剂量。该值小于国家核监管机构规定的 1 mSv/y 剂量限值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/ab73dca408a6/ijerph-19-08201-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/707cc26b1597/ijerph-19-08201-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/7c476625db23/ijerph-19-08201-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/a00668689ce5/ijerph-19-08201-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/c2f382f0f594/ijerph-19-08201-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/7a5a2fc091f6/ijerph-19-08201-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/d58379102440/ijerph-19-08201-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/4d358bdc4a3f/ijerph-19-08201-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/f9ab1f4efc33/ijerph-19-08201-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/68fbae332e8a/ijerph-19-08201-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/9583c0821703/ijerph-19-08201-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/bece4e566272/ijerph-19-08201-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/ab73dca408a6/ijerph-19-08201-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/707cc26b1597/ijerph-19-08201-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/7c476625db23/ijerph-19-08201-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/a00668689ce5/ijerph-19-08201-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/c2f382f0f594/ijerph-19-08201-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/7a5a2fc091f6/ijerph-19-08201-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/d58379102440/ijerph-19-08201-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/4d358bdc4a3f/ijerph-19-08201-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/f9ab1f4efc33/ijerph-19-08201-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/68fbae332e8a/ijerph-19-08201-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/9583c0821703/ijerph-19-08201-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/bece4e566272/ijerph-19-08201-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e6/9266810/ab73dca408a6/ijerph-19-08201-g012a.jpg

相似文献

1
An In Toto Approach to Radon Dispersion Modelling from a South African Gold Mine Tailings.南非金矿尾矿中氡弥散建模的整体方法。
Int J Environ Res Public Health. 2022 Jul 5;19(13):8201. doi: 10.3390/ijerph19138201.
2
Comparison of two numerical modelling approaches to a field experiment of unsaturated radon transport in a covered uranium mill tailings soil (Lavaugrasse, France).两种数值模拟方法在法国拉瓦格拉斯覆盖铀矿尾矿土壤中不饱和氡迁移现场试验的比较
J Environ Radioact. 2016 Jan;151 Pt 2:361-72. doi: 10.1016/j.jenvrad.2015.03.019. Epub 2015 Apr 9.
3
Atmospheric dispersion of radon around uranium mill tailings of the former Pridneprovsky Chemical Plant in Ukraine.乌克兰第聂伯罗夫斯克化工厂旧址铀矿尾矿周围氡的大气扩散。
J Environ Radioact. 2017 Jun;172:173-190. doi: 10.1016/j.jenvrad.2017.03.025. Epub 2017 Apr 4.
4
Radon emanation from backfilled mill tailings in underground uranium mine.回填铀矿井下尾矿的氡逸出。
J Environ Radioact. 2014 Apr;130:15-21. doi: 10.1016/j.jenvrad.2013.12.017. Epub 2014 Jan 9.
5
Assessment of (222)Rn emanation from ore body and backfill tailings in low-grade underground uranium mine.评估低品位地下铀矿矿体和尾矿回填氡的逸出。
Environ Sci Pollut Res Int. 2014 Feb;21(3):2305-2312. doi: 10.1007/s11356-013-2137-4. Epub 2013 Sep 21.
6
Determining the radon exhalation rate from a gold mine tailings dump by measuring the gamma radiation.通过测量伽马辐射来确定金矿尾矿堆的氡析出率。
J Environ Radioact. 2015 Feb;140:16-24. doi: 10.1016/j.jenvrad.2014.10.012. Epub 2014 Nov 26.
7
Effect of simulated earthquake loading on radon exhalation from uranium tailings dam.模拟地震荷载对铀尾矿坝氡释放的影响。
Environ Sci Pollut Res Int. 2022 Nov;29(52):79434-79442. doi: 10.1007/s11356-022-20758-1. Epub 2022 Jun 17.
8
Characterization of radon levels in soil and groundwater in the North Maladeta Fault area (Central Pyrenees) and their effects on indoor radon concentration in a thermal spa.北马拉德塔断层地区(中比利牛斯山脉)土壤和地下水中氡水平的特征及其对温泉浴场室内氡浓度的影响。
J Environ Radioact. 2018 Sep;189:1-13. doi: 10.1016/j.jenvrad.2018.03.001. Epub 2018 Mar 12.
9
Radon as a tracer of daily, seasonal and spatial air movements in the Underground Tourist Route "Coal Mine" (SW Poland).氡作为地下旅游线路“煤矿”(波兰西南部)中每日、季节性和空间空气流动的示踪剂。
J Environ Radioact. 2015 Nov;149:90-8. doi: 10.1016/j.jenvrad.2015.07.006. Epub 2015 Jul 28.
10
Radon in the environment and in dwellings in a uranium mining area in eastern India: an overview.印度东部某铀矿区环境及住宅中的氡:综述
Radiat Prot Dosimetry. 2011 May;145(2-3):198-201. doi: 10.1093/rpd/ncr061. Epub 2011 Apr 6.

引用本文的文献

1
The "Local Neighborhood" Effect of Environmental Regulation on Green Innovation Efficiency: Evidence from China.环境规制对绿色创新效率的“局域邻近”效应——来自中国的证据。
Int J Environ Res Public Health. 2022 Aug 20;19(16):10389. doi: 10.3390/ijerph191610389.

本文引用的文献

1
Atmospheric dispersion of radon around uranium mill tailings of the former Pridneprovsky Chemical Plant in Ukraine.乌克兰第聂伯罗夫斯克化工厂旧址铀矿尾矿周围氡的大气扩散。
J Environ Radioact. 2017 Jun;172:173-190. doi: 10.1016/j.jenvrad.2017.03.025. Epub 2017 Apr 4.
2
Radon dispersion modeling and dose assessment for uranium mine ventilation shaft exhausts under neutral atmospheric stability.氡弥散模型及中性大气稳定度下铀矿通风竖井排放的剂量评估。
J Environ Radioact. 2014 Mar;129:57-62. doi: 10.1016/j.jenvrad.2013.12.003. Epub 2013 Dec 28.
3
Sensitivity of two dispersion models (AERMOD and ISCST3) to input parameters for a rural ground-level area source.
两种扩散模型(AERMOD和ISCST3)对农村地面区域源输入参数的敏感性。
J Air Waste Manag Assoc. 2008 Oct;58(10):1288-96.
4
Comparison of the industrial source complex and AERMOD dispersion models: case study for human health risk assessment.工业源复合体模型与AERMOD扩散模型的比较:人类健康风险评估案例研究
J Air Waste Manag Assoc. 2007 Dec;57(12):1439-46. doi: 10.3155/1047-3289.57.12.1439.
5
Near-field dispersion modeling for regulatory applications.用于监管应用的近场色散建模。
J Air Waste Manag Assoc. 2004 Apr;54(4):473-82. doi: 10.1080/10473289.2004.10470920.
6
Engineers' guide to the elementary behavior of radon daughters.氡子体基本行为工程师指南
Health Phys. 1969 Aug;17(2):229-52. doi: 10.1097/00004032-196908000-00006.