The air pollutants emitted from oil refining industry could be transferred across borders through the increasingly complex global trade network. However, the specific structural features of the network remain unclear. Based on the Multi-regional Input-output method and complex network theory, we make a first attempt to trace six oil refining air pollutants embodied in the international trade. The results show that the overall character of the global oil refining air pollutants flow network exhibits small-world behavior, and each node of the network is strongly connected. Therefore, the refining emissions mitigation measures of one node could efficiently radiate to the other nodes connected to it, which provides essential opportunities for collaborative emissions reduction among countries. Besides, the individual characteristics of each node are distinguished, several key nodes dominate the embodied emissions throughout the global oil refining air-pollutants flow network. For specific countries, the United States, China, Japan, and the United Kingdom are the hub economics in importing embodied pollutants in the network, while Russia and Canada are the key exporters. Similarly, the critical paths with large flow still come from the trade between these key nodes. Our estimated results have great policy implications for reducing air pollutants emitted from oil refining industry and also have profound implications for environmental regulation and protection in the world.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.scitotenv.2022.153740 | DOI Listing |
Sci Rep
January 2025
Young Researchers and Elite Club, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran.
Precise estimation of rock petrophysical parameters are seriously important for the reliable computation of hydrocarbon in place in the underground formations. Therefore, accurately estimation rock saturation exponent is necessary in this regard. In this communication, we aim to develop intelligent data-driven models of decision tree, random forest, ensemble learning, adaptive boosting, support vector machine and multilayer perceptron artificial neural network to predict rock saturation exponent parameter in terms of rock absolute permeability, porosity, resistivity index, true resistivity, and water saturation based on acquired 1041 field data.
View Article and Find Full Text PDFPlant Sci
December 2024
Department of Biotechnology, Central University of Haryana, Mahendragarh, Haryana, India. Electronic address:
The rapid advancement in the field of omics approaches plays a crucial role in the development of improved industrial oil crops. Industrial oil crops play a crucial role across sectors like food processing, biofuels, cosmetics, and pharmaceuticals, making them indispensable contributors to global economies and these crops serve as vital elements in a multitude of industrial processes. Significant improvements in genomics have revolutionized the agricultural sector, particularly in the realm of oil crops.
View Article and Find Full Text PDFACS Omega
December 2024
Department of Petroleum Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia.
Hydrogen (H) offers a less carbon-intensive energy production method than natural gas. The potential of utilizing hydrogen at a large scale within the future energy mix to fuel the world opens the door to investigating hydrogen production from heavy and extra-heavy oil reservoirs. Various reaction mechanisms are involved in the in situ combustion gasification of heavy oil to produce sustainable and low carbon intensive hydrogen.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Jiangsu Key Laboratory of Sericultural and Animal Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212100, PR China; Key Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agricultural and Rural Affairs, The Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu 212100, PR China; Jiangsu Key Laboratory of Clean Energy Storage and Conversion, Jiangsu University of Technology, Changzhou, Jiangsu 213001, PR China. Electronic address:
The juice processing industry offers several benefits, including promoting health and wellness through the delivery of beverages rich in nutrients. Nonetheless, the industry encounters significant challenges regarding new technologies for processing and preservation given that they can be costly and labor-intensive. In this study, magnetic Janus silica (SiO) nanoparticle which offers multifunctionality and high stability was synthesized and subsequently immobilized with a protease mutant T70I (T70I@MSNs) to serve as a clarifying agent in juice.
View Article and Find Full Text PDFSci Rep
December 2024
Laboratorio de Fluidodinámica, Facultad de Ingeniería, Universidad de Buenos Aires/CONICET, Paseo Colón 850 CABA, Buenos Aires, Argentina.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!