Comparison model learning methods for methane emission prediction of reservoirs on a regional field scale: Performance and adaptation of methods with different experimental datasets

Li, Gang; Yang, Meng; Zhang, Yunmo; Grace, John; Cai, Ling; Zeng, Qing; Jia, Yifei; Liu, Yunzhu; Lei, Jialin; Geng, Xuemeng; Wu, Caicong; Lei, Guangchun; Chen, Ying

doi:10.1016/j.ecoleng.2020.105990

Cited by 7 publications

(6 citation statements)

References 37 publications

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“…Accuracy in choosing a strategy allows implementing the selected methods to realize and create conducive and fun learning conditions. Students feel it is easier to realize the expected learning outcomes (Li et al, 2020). Therefore, learning video media were developed to increase students' motivation and interest in learning.…”

Section: Discussionmentioning

confidence: 99%

Learning Video: Efforts to Improve the Quality of Natural Resource Learning for Elementary School Students

Kusumawati

Jayanta

Sukmana

2021

International j.of Elementary Education

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The low student learning outcomes are caused by the lack of learning media that can motivate students to learn. Therefore, it is necessary to develop learning media that can increase student learning motivation. This study aims to produce products in the form of learning video media on science content, especially natural resource materials. This research is a Research & Development research based on the Borg & Gall model. The subject in this research is learning video media, with the validity of the media as the object of research. This study involved one learning material expert, one instructional media expert, one instructional design expert, and field test preparation (one teacher and six students). The data collection method used questionnaires and questionnaires which were then analyzed using quantitative descriptive analysis. The results of this study indicate that from the aspect of learning materials, aspects of learning media, and aspects of learning design, the qualifications are very good with a percentage of 96.1%. From the aspect of field testing, this media preparation has very good qualifications with a percentage of 97.4%. It was concluded that the learning video media developed was suitable for use in science content, especially natural resource materials in grade IV SD. Therefore, it is recommended to use video media as an alternative in improving the quality of learning natural resource materials in the fourth grade of elementary school.

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Section: Discussionmentioning

confidence: 99%

Learning Video: Efforts to Improve the Quality of Natural Resource Learning for Elementary School Students

Kusumawati

Jayanta

Sukmana

2021

International j.of Elementary Education

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“…Not only to verify the emission estimates but also to verify the data inputs and assumptions made in the calculations/model. 29 Engineering calculations are benecial over both direct measurement and emission factors as they can be used to model and predict emissions, as has been done for other methane sources, such as reservoirs and dairy farms, 30,31 but the accuracy of any predictions is dependent on the accuracy of the input data and assumptions. This method can only provide emission estimates for known emissions sources and is unable to identify new emission sources.…”

Section: Engineering Calculationsmentioning

confidence: 99%

Methane detection and quantification in the upstream oil and gas sector: the role of satellites in emissions detection, reconciling and reporting

Cooper

Dubey

Giarola

2022

Environ. Sci.: Atmos.

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“…Additionally, remote sensing methods like Raman lidar technology (Veselovskii et al, 2019) and atmospheric chemistry-general circulation models (Zimmermann et al, 2018) have been instrumental. Machine learning models (Mehrdad et al, 2021), including artificial neural networks, adaptive neuro-fuzzy inference system, and support vector regression and decision tree methods (Li et al, 2020), modified grey radial basis function neural network model (Yang et al, 2020), 3-D modeling approach (Heimann et al, 2020), detailed site-level methane emission estimation model (Cardoso-Saldana & Allen, 2020), as well as Monte Carlo simulations (De Faria et al, 2015), have also been applied. Fiehn et al (2023) focused on quantifying and analyzing the isotopic signatures of methane emissions in the Upper Silesian Coal Basin, using airborne and ground-based sampling during the CoMet campaign.…”

Section: Introductionmentioning

confidence: 99%

Assessing the relative contribution of various anthropogenic sources to atmospheric methane in Rivers State, Nigeria: A multi-criteria decision analysis approach

Ogbowuokara,

Leton,

Ugbebor

et al. 2024

J. Eng. Exact Sci.

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Methane is a significant greenhouse gas, with a global warming potential many times greater than carbon dioxide over a 20-year period. Its release from sources like landfills, agriculture, and the energy sector exacerbates climate change, making it crucial to monitor and reduce methane emissions to mitigate global warming and achieve climate goals. This research utilized the Multi-Criteria Decision Analysis (MCDA) method, specifically the Analytic Hierarchy Process (AHP), to analyze the sources of atmospheric methane in Rivers State, Nigeria. It addressed the challenge of assessing the contributions of various anthropogenic sources such as fossil fuels, landfills, agriculture, wetlands, and oceans to atmospheric methane emissions. By incorporating expert opinions, literature reviews, and surveys, the study constructed a hierarchical model to prioritize these sources based on their impact. Findings identified fossil fuels and landfills as the main contributors. The study demonstrated MCDA's effectiveness in environmental analysis and provided a replicable framework for similar assessments in other regions, contributing to targeted emission mitigation and policy formulation efforts.

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Comparison model learning methods for methane emission prediction of reservoirs on a regional field scale: Performance and adaptation of methods with different experimental datasets

Cited by 7 publications

References 37 publications

Learning Video: Efforts to Improve the Quality of Natural Resource Learning for Elementary School Students

Learning Video: Efforts to Improve the Quality of Natural Resource Learning for Elementary School Students

Methane detection and quantification in the upstream oil and gas sector: the role of satellites in emissions detection, reconciling and reporting

Assessing the relative contribution of various anthropogenic sources to atmospheric methane in Rivers State, Nigeria: A multi-criteria decision analysis approach

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