西北大学 城市与环境学院,陕西,西安,710127
纸质出版:2018
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滕腾, 陈新新, 李鹏飞, 等. 无人机遥感监测技术在CO2地质封存泄漏风险事故监测中的应用[J]. 水土保持通报, 2018,38(3):136-142.
TENG Teng, CHEN Xinxin, LI Pengfei, et al. Application of Unmanned Aerial Vehicle Remote Sensing Monitoring Technology on CO2 Sequestration and Leakage Risk Assessment[J]. Bulletin of Soiland Water Conservation, 2018, 38(3): 136-142.
滕腾, 陈新新, 李鹏飞, 等. 无人机遥感监测技术在CO2地质封存泄漏风险事故监测中的应用[J]. 水土保持通报, 2018,38(3):136-142. DOI: 10.13961/j.cnki.stbctb.2018.03.022.
TENG Teng, CHEN Xinxin, LI Pengfei, et al. Application of Unmanned Aerial Vehicle Remote Sensing Monitoring Technology on CO2 Sequestration and Leakage Risk Assessment[J]. Bulletin of Soiland Water Conservation, 2018, 38(3): 136-142. DOI: 10.13961/j.cnki.stbctb.2018.03.022.
[目的
]
通过无人机遥感监测技术对泄漏CO
2
响应效果的研究,为CO
2
的捕捉与封存(carbon capture and storage,CCS)泄漏风险事故的新型监测技术的应用提供理论基础。[方法
]
通过环境背景值监测、试验监测、理论模拟和数据对比分析的方法为无人机遥感监测技术对CCS泄漏风险事故的响应效果进行了研究。[结果
]
以泄放CO
2
引起环境中CO
2
浓度变化幅度超过某一断面环境背景最高值一个标准差作为响应浓度差,在试验条件下无人机在距离泄漏源10 m,高9 m的位置响应到浓度变化,响应浓度为502 mg/kg,此处的环境背景值为448 mg/kg。通过高斯模型进行计算发现该试验条件下泄放的CO
2
扩散至此处的理论数值为40 mg/kg。[结论
]
无人机遥感监测系统能够对泄漏的CO
2
做出响应,能够应用到实际CCS泄漏事故中,且因为工业尺度下的泄漏量很大,无人机遥感监测平台能够对大空间场做出有效的监测响应。
[Objective] Using unmanned aerial vehicle(UAV) remote sensing monitoring technology to monitor the response of leaked CO2
in order to provide a theoretical basis for monitoring accident risk of carbon capture and storage(CCS).[Methods] By environmental background value monitoring
experimental monitoring
theoretical simulation and data comparison analysis
the response of UAV remote sensing monitoring platform to the risk assessment of CCS leakage was studied.[Results] The standard deviation of CO2 concentration change in the environment caused by CO2 emission that over the highest value of the environmental background of a section
was taken as the response concentration difference. Under the experimental conditions
the UAV was located at a horizontal distance of 10 m and a vertical distance of 9 m from the source of leakage. The response concentration was 502 mg/kg
when the environmental background value was 448 mg/kg. Calculation from Gaussian model showed that the theoretical value of the CO2 diffusion under the experimental conditions at the experimental location was 40 mg/kg.[Conclusion] The UAV remote sensing monitoring platform can respond to the leaked CO2 and can be applied to the actual CCS leakage accident risk assessment. As the large amount of leakage under the industrial scale
the UAV remote sensing monitoring platform can provide effective monitoring for large space field.
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、C
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李毅,张可霓,王笑雨.CO
2
地质封存泄漏对浅层地下水影响的分析评价[J].工程勘察,2014,42(11):44-50.
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2
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扩散危险水平分级方法研究[J].岩土力学,2016,37(7):2070-2078.
马登龙,邓建强,张早校.地质封存中CO
2
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