Simulations of Methane Leakage Remote Sensing Model and Algorithm Based on Laser Composite

Shouzheng Zhu; Shijie Liu; Senyuan Wang; Guoliang Tang; Chunlai Li; Jianyu Wang

doi:10.3788/AOS240818

Acta Optica Sinica, Volume. 44, Issue 24, 2428009(2024)

Simulations of Methane Leakage Remote Sensing Model and Algorithm Based on Laser Composite

Shouzheng Zhu^1,2,4, Shijie Liu¹, Senyuan Wang³, Guoliang Tang¹, Chunlai Li^1,3、*, and Jianyu Wang^1,3、**

¹School of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang , China

²Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

³Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

⁴University of Chinese Academy of Sciences, Beijing 100049, China

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References(23)

[1] Ma Z Y, Li Z M, Liu S L et al. Enlightenment of global methane emission control to China[J]. Energy of China, 45, 20-30(2023).

[2] Kiehl J T, Dickinson R E. A study of the radiative effects of enhanced atmospheric CO2 and CH4 on early Earth surface temperatures[J]. Journal of Geophysical Research: Atmospheres, 92, 2991-2998(1987).

[3] Bousquet P, Ciais P, Miller J B et al. Contribution of anthropogenic and natural sources to atmospheric methane variability[J]. Nature, 443, 439-443(2006).

[4] Wang Z Y, Luo D K, Liu L L. Natural gas utilization in China: development trends and prospects[J]. Energy Reports, 4, 351-356(2018).

[5] Meribout M, Khezzar L, Azzi A et al. Leak detection systems in oil and gas fields: present trends and future prospects[J]. Flow Measurement and Instrumentation, 75, 101772(2020).

[6] Da H J, Xu D G, Tang Z H et al. Research on methane detection, reporting and verification technology in oil and gas industry[J]. Safety Health & Environment, 23, 28-36, 51(2023).

[7] Zheng K Y, Zheng C T, Zhang H P et al. Near-infrared off-axis integrated cavity output spectroscopic gas sensor for real-time, in situ atmospheric methane monitoring[J]. IEEE Sensors Journal, 21, 6830-6838(2021).

[8] Andrews B, Chakrabarti A, Dauphin M et al. Application of machine learning for calibrating gas sensors for methane emissions monitoring[J]. Sensors, 23, 9898(2023).

[9] Yu R Q, Xia H, Sun P S et al. Measurement of carbon isotopes in methane based on off-axis integrated cavity output spectroscopy technology with booster optical amplifier[J]. Acta Optica Sinica, 44, 0530001(2024).

[10] Gålfalk M, Olofsson G, Crill P M et al. Making methane visible[J]. Nature Climate Change, 6, 426-430(2016).

[11] Kang R Y, Liatsis P, Kyritsis D C. Emission quantification via passive infrared optical gas imaging: a review[J]. Energies, 15, 3304(2022).

[12] Filkin T, Lipin I, Sliusar N. Integrating a UAV system based on pixhawk with a laser methane mini detector to study methane emissions[J]. Drones, 7, 625(2023).

[13] Tyner D R, Johnson M R. Where the methane is: insights from novel airborne LiDAR measurements combined with ground survey data[J]. Environmental Science & Technology, 55, 9773-9783(2021).

[14] Sandsten J, Weibring P, Edner H et al. Real-time gas-correlation imaging employing thermal background radiation[J]. Optics Express, 6, 92-103(2000).

[15] Ding W W, Sun L Q, Yi L Y. High sensitive scheme for methane remote sensor based on tunable diode laser absorption spectroscopy[J]. Acta Physica Sinica, 66, 100702(2017).

[16] Li J Y, Yu Z W, Du Z H et al. Standoff chemical detection using laser absorption spectroscopy: a review[J]. Remote Sensing, 12, 2771(2020).

[17] Wainner R T, Aubut N F, Laderer M C et al. Scanning, standoff TDLAS leak imaging and quantification[J]. Proceedings of SPIE, 10210, 1021006(2017).

[18] Ye W L, Zhou B, Tu Z H et al. Leakage source location based on Gaussian plume diffusion model using a near-infrared sensor[J]. Infrared Physics & Technology, 109, 103411(2020).

[19] Zheng K Y, Yu L, Zheng C T et al. Vehicle-deployed off-axis integrated cavity output spectroscopic CH4/C2H6 sensor system for mobile inspection of natural gas leakage[J]. ACS Sensors, 7, 1685-1697(2022).

[20] Dierks S, Kroll A. Quantification of methane gas leakages using remote sensing and sensor data fusion[C], 13-15(2017).

[21] Hirst B, Randell D, Jones M et al. Methane emissions: remote mapping and source quantification using an open-path laser dispersion spectrometer[J]. Geophysical Research Letters, 47, GL086725(2020).

[22] Shi T Q, Han Z Y, Han G et al. Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm‒interior point penalty function (GA-IPPF) model[J]. Atmospheric Chemistry and Physics, 22, 13881-13896(2022).

[23] Iwaszenko S, Kalisz P, Słota M et al. Detection of natural gas leakages using a laser-based methane sensor and UAV[J]. Remote Sensing, 13, 510(2021).

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Shouzheng Zhu, Shijie Liu, Senyuan Wang, Guoliang Tang, Chunlai Li, Jianyu Wang. Simulations of Methane Leakage Remote Sensing Model and Algorithm Based on Laser Composite[J]. Acta Optica Sinica, 2024, 44(24): 2428009

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Paper Information

Category: Remote Sensing and Sensors

Received: Apr. 8, 2024

Accepted: May. 27, 2024

Published Online: Dec. 18, 2024

The Author Email: Li Chunlai (lichunlai@mail.sitp.ac.cn), Wang Jianyu (jywang@mail.sitp.ac.cn)

DOI:10.3788/AOS240818

CSTR:32393.14.AOS240818

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology