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Carbon Emission - Astrophysics Data System

Summarized by Plex Scholar
Last Updated: 04 December 2022

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A localized kinematic structure detected in atomic carbon emission spatially coincident with a proposed protoplanet in the HD 163296 disk

The discovery of new protoplanet candidates and several structures related to potential planet-disk interactions has been a result of five years of kinematics research in protoplanetary disks over the past five years. In the HD 163296 disk, we find a localized kinematic bipolar structure, which is visible within the largest dust gap at 48 au from atomic carbon line emission. The stellar jet and molecular winds in HD 163296 have been discussed in detail in the literature; however, the kinematic anomaly in C I emission is not connected to either of them.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv221116531A/abstract


Carbon Emission Prediction on the World Bank Dataset for Canada

One of the world's most significant issues is the continuous rise in CO2 pollution into the atmosphere. To prevent some of their catastrophic outcomes, several countries are making critical decisions to monitor their carbon footprints in order to prevent some of their catastrophic outcomes. Machine learning is one of the most advanced and cost-effective methods for estimating the amount of carbon dioxide from current measurements. This paper details the strategies for predicting carbon pollution for the next two years. The following charts shows CO2 emissions of all the countries from 1960 to 2018. Our strategy, according to our report, we used machine learning techniques to get an idea of what carbon emission measures will look like in the next ten years and project it onto the World Bank's data repository's data repository. The aim of this study is to see how different machine learning algorithms work on a similar dataset and measure the difference between their predictions.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv221117010D/abstract


Estimates of the Potential Indirect Damage to China by Restricting Energy Increase to Peak Carbon Emissions

Energy security and climate warming concerns are two factors that are balanced against this rise in energy demand. Restricting the demand for peaking carbon dioxide emissions will not only impact production in industries but also cause a larger indirect economic impact through intricate industrial links. The most notable results were as follows: the increase in end-use demand for conventional energy in 2030 will account for 24. 4 percent of total energy use in 2017 under the restrictive scenario, and by reducing this rise in 2030 will be around 42. 9 percent of TEC 2017 in comparison to the realistic scenario.

Source link: https://ui.adsabs.harvard.edu/abs/2022EaFut..1002697H/abstract


Does carbon emissions disclosure affect Indonesian companies?

The population of this survey includes high-profile businesses that were listed on the Indonesia Stock Exchange from 2016-2020. The number determination of carbon dioxide release is determined by using the GRI Standards 2016 index checklist, comparing the total items disclosed with the maximum total number reported. The results of this report show that company size has a positive impact on carbon emission disclosure, while PROPER's ratings, profitability, leverage, and audit committee have no influence on carbon disclosure.

Source link: https://ui.adsabs.harvard.edu/abs/2022E&ES.1108a2060W/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions