Emissions of C-C alkanes from the U.S. oil and gas sector have changed rapidly over the last decade. We use a nested GEOS-Chem simulation driven by updated 2011NEI emissions with aircraft, surface and column observations to 1) examine spatial patterns in the emissions and observed atmospheric abundances of C-C alkanes over the U.S., and 2) estimate the contribution of emissions from the U.S. oil and gas industry to these patterns. The oil and gas sector in the updated 2011NEI contributes over 80% of the total U.S. emissions of ethane (CH) and propane (CH), and emissions of these species are largest in the central U.S. Observed mixing ratios of C-C alkanes show enhancements over the central U.S. below 2 km. A nested GEOS-Chem simulation underpredicts observed CH mixing ratios in the boundary layer over several U.S. regions and the relative underprediction is not consistent, suggesting CH emissions should receive more attention moving forward. Our decision to consider only C-C alkane emissions as a single lumped species produces a geographic distribution similar to observations. Due to the increasing importance of oil and gas emissions in the U.S., we recommend continued support of existing long-term measurements of C-C alkanes. We suggest additional monitoring of C-C alkanes downwind of northeastern Colorado, Wyoming and western North Dakota to capture changes in these regions. The atmospheric chemistry modeling community should also evaluate whether chemical mechanisms that lump larger alkanes are sufficient to understand air quality issues in regions with large emissions of these species.
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http://dx.doi.org/10.1029/2018JD028955 | DOI Listing |
Heliyon
January 2025
School of Sciences, Xi'an Technological University, Xi'an, 710021, China.
Although oil extraction is indispensable for meeting worldwide energy demands and ensuring industrial sustainability, various hazards are observed. Therefore, this study examined the chemical oil recovery-related environmental consequences concerning water, soil, ecosystem, and human health damages. A numerical analysis explored the mathematical model for oil extraction from unconventional sources by utilising 3D porous prism geometries under high-temperature conditions.
View Article and Find Full Text PDFComb Chem High Throughput Screen
January 2025
Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Aim And Objective: Magnoliae Flos (Chinese name: Xin-Yi) and Xanthii Fructus (Chinese name: Cang-Er-Zi) are Chinese herbal medicines and have been used to treat allergic rhinitis (AR). However, the therapeutic effect, active ingredients, and probable processes of a compound of Magnoliae Flos and Xanthii Fructus in the form of essential oils (CMFXFEO) in treating AR have not been reported. This study aims to determine the efficacy of the CMFXFEO on ovalbumin (OVA)-induced AR in a rat model and to use network pharmacology and molecular docking to reveal the hub genes, biological functions, and signaling pathways of CMFXFEO against AR.
View Article and Find Full Text PDFSci Rep
January 2025
Northwest Sichuan Gas District of Southwest Oil and Gasfield Company, Jiangyou, 621700, China.
With the wide application of hydrogen-doped natural gas (HBNG) in end users, laying pipelines in urban, comprehensive pipe corridors has become increasingly common. However, the leakage and diffusion of hydrogen-doped natural gas in confined or semi-confined spaces (e.g.
View Article and Find Full Text PDFSci Rep
January 2025
School of Oil & Natural Gas Engineering, Southwest Petroleum University, Chengdu, 610500, Sichuan, China.
As a necessary part of intelligent control of a joint station, the automatic identification of abnormal conditions and automatic adjustment of operation schemes need to judge the running state of the system. In this paper, a combination of Particle Swarm Optimization (PSO) and Gray Wolf Optimizer (GWO) is proposed to optimize the Backpropagation Neural Network (BP) model (PSO-GWO-BP) and a pressure drop prediction model for the joint station export system is established using PSO-GWO-BP. Compared with the traditional hydraulic calculation modified (THCM) models and other machine learning algorithms, the PSO-GWO-BP model has significant advantages in prediction accuracy.
View Article and Find Full Text PDFClin Exp Dent Res
February 2025
Faculty of Chemistry and Textile Engineering, National Engineering University, Lima, Peru.
Background: Recently, products with antibacterial properties derived from medicinal plants have increased as an alternative to conventional drugs. Thus, this study aimed to formulate and evaluate the antibacterial activity of an experimental gel based on Grindelia tarapacana essential oil in a bacterial consortium.
Material And Methods: The composition of the essential oil (EO) was determined using gas chromatography-mass spectrometry (GC-MS).
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