QRA PROBABILITY MODEL FOR HUMAN HEALTH RISK ASSESSMENT IN SUPERCRITICAL NON-PURE CO<sub>2</sub> PIPELINE TRANSPORTATION AREA AND ITS APPLICATION

LI Shuai; ZHANG Yi-mei; WANG Wei-bo; MIAO Fang-fang; LAI Yu-xian; ZHAO Xi-sen; ZHANG Zhi-sheng

doi:10.13205/j.hjgc.202105031

Volume 39 Issue 5

Jan. 2022

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LI Shuai, ZHANG Yi-mei, WANG Wei-bo, MIAO Fang-fang, LAI Yu-xian, ZHAO Xi-sen, ZHANG Zhi-sheng. QRA PROBABILITY MODEL FOR HUMAN HEALTH RISK ASSESSMENT IN SUPERCRITICAL NON-PURE CO2 PIPELINE TRANSPORTATION AREA AND ITS APPLICATION[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(5): 225-230. doi: 10.13205/j.hjgc.202105031

Citation:

LI Shuai, ZHANG Yi-mei, WANG Wei-bo, MIAO Fang-fang, LAI Yu-xian, ZHAO Xi-sen, ZHANG Zhi-sheng. QRA PROBABILITY MODEL FOR HUMAN HEALTH RISK ASSESSMENT IN SUPERCRITICAL NON-PURE CO₂ PIPELINE TRANSPORTATION AREA AND ITS APPLICATION[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(5): 225-230. doi: 10.13205/j.hjgc.202105031

Citation:

LI Shuai, ZHANG Yi-mei, WANG Wei-bo, MIAO Fang-fang, LAI Yu-xian, ZHAO Xi-sen, ZHANG Zhi-sheng. QRA PROBABILITY MODEL FOR HUMAN HEALTH RISK ASSESSMENT IN SUPERCRITICAL NON-PURE CO₂ PIPELINE TRANSPORTATION AREA AND ITS APPLICATION[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(5): 225-230. doi: 10.13205/j.hjgc.202105031

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QRA PROBABILITY MODEL FOR HUMAN HEALTH RISK ASSESSMENT IN SUPERCRITICAL NON-PURE CO₂ PIPELINE TRANSPORTATION AREA AND ITS APPLICATION

doi: 10.13205/j.hjgc.202105031

1. College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China;
2. Laboratory of Environment Remediation and Function Material, Suzhou Research Academy, North China Electric Power University, Suzhou 215000, China;
3. Research Institute of Shaanxi Yanchang Petroleum(Group) Co., Ltd, Xi'an 710065, China;
4. Yanchang Oilfield Co., Ltd, Yan'an 717400, China

Received Date: 2020-04-20
Available Online: 2022-01-17

Abstract

Abstract

Characteristics of thermodynamic parameters of supercritical CO₂, and analysis of dynamic physical parameters during non-pure CO₂ leakage, as well as computational fluid dynamics method were conducted to study the diffusion law of CO₂ under different conditions. Wind speed v, distance x, leakage aperture type, probability distribution characteristics of logical functions l_v and relevant results of numerical simulation were applied to the QRA quantitative risk assessment model. Combined with mild injury, irreversible injury and death, three types of health risks (HR₁, HR₂ and HR₃) in supercritical non-pure CO₂ pipeline area were quantitatively evaluated. The results showed that under large aperture leakage scenario, the individual mortality risk within the distance of 200 m from the leakage point was higher than the tolerable level (10^-5); and the individual mortality health risk within 200~350 m was higher than the acceptable level (10^-6), and the individual slight health risk couldn't be reduced to the acceptable level until a distance of 1850 m from the leakage point. The research results could be applied to the route and early design stage of CCUS supercritical pipeline, and provided quantitative data support for exploring alternatives to reduce population health risk.
- supercritical CO₂,
- leakage,
- quantification,
- health risk assessment

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References(17)

References

[1]	刘建武.CO₂输送管道工程设计的关键问题[J]. 油气储运, 2014, 33(4):369-373.
[2]	吴鹏, 史海疆. "再电气化"背景下节能减排路径思考[J]. 电气时代, 2019, 448(1):39-40.
[3]	刘冬梅, 陈颖, 李瑶, 等. 中国碳捕集、利用与封存项目环境影响评估技术建议[J]. 环境污染与防治, 2014, 36(4):106-109.
[4]	刘敏. 超临界CO₂管道输送瞬变特性研究[D].青岛:中国石油大学,2015.
[5]	JOHN J. Toxicity of CO₂:implications for lateral line studies[J]. Journal of Comparative Physiology A Sensory Neural & Behavioral Physiology, 2000, 186(10):957-960.
[6]	罗艾民, 陈平, 多英全,等. 定量风险评估(QRA)中的危险辨识方法[J]. 中国安全生产科学技术, 2010, 6(1):54-57.
[7]	CURTIS M O. Geologic Carbon Sequestration:Sustainability and Environmental Risk[M]. Encyclopedia of Sustainability Science and Technology, 2012, 4119-4133.
[8]	PRUESS K. Numerical studies of CO₂ leakage from geologic storage reservoirs[J]. AGU Fall Meeting Abstracts, 2005.
[9]	李晓春. 高浓度二氧化碳对鼠类的影响实验研究[D]. 西安:西北大学, 2015.
[10]	ELISABETTA A, ENRICA R, PAOLO C. On diffusion, oxidation and condensation phenomena at the liquid metal-gas interface[J]. Materials Chemistry & Physics, 2009, 114(2/3):809-814.
[11]	梁俊丽, 孔维华, 费文华,等. 基于复杂地形的高斯烟羽模型改进[J]. 环境工程学报, 2016,10(6):3125-3129.
[12]	薛卫东, 朱正和, 邹乐西,等. 超临界CO₂热力学性质的理论计算[J]. 原子与分子物理学报, 2004, 21(2):295-300.
[13]	BROWN S, BECK J, MAHGEREFTEH H, et al. Global sensitivity analysis of the impact of impurities on CO₂ pipeline failure[J]. Reliability Engineering & System Safety, 2013, 115(8):43-54.
[14]	PENG D Y, ROBINSON D B. A new two-constant equation of state[J]. Industrial & Engineering Chemistry Research, 1976.
[15]	JOEL H F, MILOVAN P. Computational Methods for Fluid Dynamics[M]. Sprigner, 1999.
[16]	贺焕婷.定量风险分析(QRA)在天然气长输管道压气站区域及平面布置中的应用[J]. 管道保护,2020,1:36-41.
[17]	KIERSMA M E. National Institute for Occupational Safety and Health. In Encyclopedia of Toxicology 466[M]Third Edition. Academic Press:Oxford, 2014:454-455.