Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities

Zhang, Siwei; Ma, Jianmin; Zhang, Xiaohu; Guo, Chuangxin

doi:10.1016/j.scitotenv.2023.164701

Cited by 18 publications

(6 citation statements)

References 85 publications

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“…In this study, we used the Oracle Crystal Ball program to analyze the uncertainty of emissions. The input parameters were the values of the modified emission factor model GM (1,1) and the values of the coal mine production in Shanxi Province. The methane emission factor took the values of 8.85-9.14 m 3 /t and a median of 8.99 m 3 /t.…”

Section: Emission Factor Prediction Models Of Methane Emissionmentioning

confidence: 99%

“…Global warming poses risks to human society and ecosystems, which are closely related to human survival and development. It has become a global consensus that human activities are the main cause of global warming [1,2]. In addition to controlling CO 2 emissions, reducing non-CO 2 greenhouse gas emissions is also crucial for mitigating global warming [3,4].…”

Section: Introductionmentioning

confidence: 99%

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Study on Characteristics and Model Prediction of Methane Emissions in Coal Mines: A Case Study of Shanxi Province, China

Zhang,

Zhu,

et al. 2023

Atmosphere

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The venting of methane from coal mining is China’s main source of methane emissions. Accurate and up-to-date methane emission factors for coal mines are significant for reporting and controlling methane emissions in China. This study takes a typical coal mine in Shanxi Province as the research object and divides the coal mine into different zones based on the occurrence structure of methane in Shanxi Province. The methane emission characteristics of underground coal mine types and monitoring modes were studied. The emissions of methane from coal seams and ventilation methane of six typical coal mine groups in Shanxi Province were monitored. The measured methane concentration data were corrected by substituting them into the methane emission formula, and the future methane emissions were predicted by the coal production and methane emission factors. The results show that the number of methane mines and predicted reserves in Zone I of Shanxi Province are the highest. The average methane concentration emitted from coal and gas outburst mines is about 22.52%, and the average methane concentration emitted from high-gas mines is about 10.68%. The methane emissions from coal and gas outburst mines to the atmosphere account for about 64% of the total net methane emissions. The predicted methane emission factor for Shanxi coal mines is expected to increase from 8.859 m3/t in 2016 to 9.136 m3/t in 2025, and the methane emissions from Shanxi coal mines will reach 8.43 Tg in 2025.

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Section: Emission Factor Prediction Models Of Methane Emissionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on Characteristics and Model Prediction of Methane Emissions in Coal Mines: A Case Study of Shanxi Province, China

Zhang,

Zhu,

et al. 2023

Atmosphere

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“…Open path tunable diode laser absorption spectroscopy (OP-TDLAS) is a predominant non-contact method for detecting methane leaks [ 21 , 22 , 23 , 24 ]. Frish et al devised a portable OP-TDLAS sensor capable of discerning methane concentrations within the ppm·m range at a 30 m detection distance [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Vertical Distribution Mapping for Methane Fugitive Emissions Using Laser Path-Integral Sensing in Non-Cooperative Open Paths

Wang,

Li,

et al. 2024

Sensors

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Observing the vertical diffusion distribution of methane fugitive emissions from oil/gas facilities is significant for predicting the pollutant’s spatiotemporal transport and quantifying the random emission sources. A method is proposed for methane’s vertical distribution mapping by combining the laser path-integral sensing in non-non-cooperative open paths and the computer-assisted tomography (CAT) techniques. It uses a vertical-plume-mapping optical path configuration and adapts the developed dynamic relaxation and simultaneous algebraic reconstruction technique (DR-SART) into methane-emission-distribution reconstruction. A self-made miniaturized TDLAS telemetry sensor provides a reliable path to integral concentration information in non-non-cooperative open paths, with Allan variance analysis yielding a 3.59 ppm·m sensitivity. We employed a six-indexes system for the reconstruction performance analysis of four potential optical path-projection configurations and conducted the corresponding validation experiment. The results have shown that that of multiple fan-beams combined with parallel-beam modes (MFPM) is better than the other optical path-projection configurations, and its reconstruction similarity coefficient (ε) is at least 22.4% higher. For the different methane gas bag-layout schemes, the reconstruction errors of maximum concentration (γm) are consistently around 0.05, with the positional errors of maximum concentration (δ) falling within the range of 0.01 to 0.025. Moreover, considering the trade-off between scanning duration and reconstruction accuracy, it is recommended to appropriately extend the sensor measurement time on a single optical path to mitigate the impact of mechanical vibrations induced by scanning motion.

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“…In addition, there is Methane (CH4), a gas generated during organic matter decomposition under low oxygen conditions. Methane harms health and contributes to the greenhouse effect on Earth [11]- [14].…”

Section: Introductionmentioning

confidence: 99%

Monitoring and analysis of carbon monoxide and methane using Sensors and Remotely Piloted Aircraft Systems

Holgado-Apaza,

Julian-Laime,

Baca

et al. 2023

EAI Endorsed Trans Energy Web

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INTRODUCTION: Air pollution in urban areas becomes a severe challenge to global health; exposure to polluting gases can lead to different diseases and even human mortality. In this sense, monitoring the concentration of polluting gases such as carbon monoxide and methane is important. OBJECTIVES: This document focuses on developing a Remotely Piloted Aircraft System (RPAS) to monitor the concentration of carbon monoxide and methane at different altitudes. METHODS: This includes a Parrot AR Drone 2.0, where the measurement prototype was mounted. The data was transmitted and reception at a ground control station through an application programmed in LabVIEW 15.0. RESULTS: The experimental measurements showed that the concentration of carbon monoxide remains almost unchanged regardless of variations in altitude. In contrast, methane concentration reduces linearly with the increase in height with respect to ground level in Puerto Maldonado. CONCLUSION: We implemented an RPAS to monitor in real time, record data in a control station and analyze the concentration of carbon monoxide and methane in the South Eastern Peruvian Amazon.

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Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities

Cited by 18 publications

References 85 publications

Study on Characteristics and Model Prediction of Methane Emissions in Coal Mines: A Case Study of Shanxi Province, China

Study on Characteristics and Model Prediction of Methane Emissions in Coal Mines: A Case Study of Shanxi Province, China

Vertical Distribution Mapping for Methane Fugitive Emissions Using Laser Path-Integral Sensing in Non-Cooperative Open Paths

Monitoring and analysis of carbon monoxide and methane using Sensors and Remotely Piloted Aircraft Systems

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