文章摘要
滕腾,陈新新,李鹏飞,马俊杰.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
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
Application of Unmanned Aerial Vehicle Remote Sensing Monitoring Technology on CO2 Sequestration and Leakage Risk Assessment
投稿时间:2018-01-18  修订日期:2018-02-14
DOI:10.13961/j.cnki.stbctb.2018.03.022
中文关键词: CO2地质封存  无人机遥感监测  高斯模型  环境背景值  泄漏风险
英文关键词: CO2 geological storage  UAV remote sensing monitoring  Gaussian model  environmental background value  risk of leakage
基金项目:国家高技术研究发展计划(863计划)“CO2地质封存关键技术”(2012AA0501030)
作者单位E-mail
滕腾 西北大学 城市与环境学院, 陕西 西安 710127  
陈新新 西北大学 城市与环境学院, 陕西 西安 710127  
李鹏飞 西北大学 城市与环境学院, 陕西 西安 710127  
马俊杰 西北大学 城市与环境学院, 陕西 西安 710127 603828872@qq.com 
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中文摘要:
      [目的]通过无人机遥感监测技术对泄漏CO2响应效果的研究,为CO2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CO2引起环境中CO2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CO2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CO2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。
英文摘要:
      [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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