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Carbon Neutral - Astrophysics Data System

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Last Updated: 16 September 2022

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A carbon data integrating system supporting Carbon neutrality

Terrestrial-Marine-Atmospheric multiple fields, which eventually require the assistance of big data and Scientific Data e-Infrastructure, are among the carbon neutrality studies that will aim to reach peak emissions by 2030 and carbon free by 2060. Carbon neutrality research requires Terrestrial-Marine-Atmospheric multiple fields, which eventually require the support of scientific big data and Scientific Data e-Infrastructure. Carbon data interconnectivity and interoperability of the massive carbon data and related secondary data sources integrated into the CASA platform is a key enabler to become more data-driven, to greater data value, and to satisfy the increasing demand for global and regional monitoring of anthropogenic carbon pollution. Both in organizational practices and data processing initiatives that cover the full breadth of the data value chain, we related carbon data exchange and interoperability, as well as carbon data collection and use within programmatic cycles and show interoperability. This will extend carbon data analysis and reporting methods, as well as providing better ways to use carbon data in fields where innovation and integration are now essential.

Source link: https://ui.adsabs.harvard.edu/abs/2022EGUGA..2412931Z/abstract


The potential of urban soils for carbon neutral cities

We wanted to track urban biogenic carbon cycle with a broad field campaign carried out around the SMEAR III ICOS station in 2020-2022, as well as a handful satellite sites around Finland's capital city. A managed park lawn with and without trees, small urban forest, apple orchard, and a street tree site will all be shown. We investigate the role of various soil carbon dioxide emitters in soil CO2 emissions at various urban green space types and compare them to corresponding metrics obtained in non-urban areas.

Source link: https://ui.adsabs.harvard.edu/abs/2022EGUGA..24.7868K/abstract


Carbon-Neutralized Task Scheduling for Green Computing Networks

Due to rising energy use, computing networks that enable users to process computation-intensive tasks contribute a significant amount of carbon dioxide emissions. To determine the potential reduction of carbon emissions by a scheduling policy, we first introduce a new virtual queueing network model that mimics network communication and computation procedures. The new strategy, according to our numerical study using real-world data, resulted in a 54% reduction in cumulative carbon dioxide emissions for AI model training tasks relative to the queue-length based strategy.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv220902198Y/abstract


Spatial deployment of Nature-based Solutions to support carbon neutrality for 50 EU cities.

3 Upgrading carbon emission reduction potentials from spatial deployment and coupling of several NBS with parametric simulation; 2 downgrading carbon emission data from larger spatial scales 10x10km GID data to high-resolution cells using land use and socioeconomic data; 3 determining the risks and benefits of using NBS on these land use cells; 3 Estimating total carbon emission potentials from physical deployment and coupling of multiple NBS using parametric simulation. Our findings show that large swaths of urbanized and suburbanized lands in EU cities can be used NBS to reduce carbon pollution.

Source link: https://ui.adsabs.harvard.edu/abs/2022EGUGA..24.8613P/abstract


Impacts of regional emission reduction and global climate change on air quality and temperature to attain carbon neutrality in China

As the future emission reduction pathway in China, the Ambitious-Polution-Neutral-Goals scenario from the Dynamic Projection model for Emissions in the China database was selected. Representative concentration pathway climate scenarios were used to represent one potential for future global climate change. If the carbon neutral reduction pathway is followed, annual average PM 2. 5 and O 3 concentrations in China could meet World Health Organization recommendations, according to the findings. Emission reduction is far more effective than climate change in improving air quality, improving air quality by a large amount. Both carbon dioxide reduction and photosynthesis of vegetation promoted by global warming will reduce CO 2 concentrations by at least 8 ppm in 2060. Global climate change will heat up the entire world by at least 1 K. Regional pollution reduction would reduce the cooling effect of particulate matter, resulting in marginal change in global climate control, which would slow progress in global climate control.

Source link: https://ui.adsabs.harvard.edu/abs/2022AtmRe.27906384X/abstract


Progress of selective catalytic reduction denitrification catalysts at wide temperature in carbon neutralization

With the looming target of carbon freeness and tighter environmental protection legislation, emissions purification in coal-fired power plants is getting more popular. While coal-fired power plants are operating at full capacity, denitrification catalysts that can operate for a long time in the range of 260-220C are worthy of investigation. By analyzing their regeneration methods, the challenges faced by wide-temperature SCR denitration catalysts are summated.

Source link: https://ui.adsabs.harvard.edu/abs/2022FrCh...10.6133L/abstract


Future projections of daily maximum and minimum temperatures over East Asia for the carbon neutrality period of 2050-2060

Future climate projections contain critical information for preventing and minimizing climate hazards posed by global warming. In this report, we discuss predicted changes in daily maximum and minimum temperatures, as well as diurnal temperature range over East Asia during the carbon freedom period of 2050-2060 under the recently available SSP1-1. 9 route of sustainable growth by using CMIP6 model simulations. Tmax and Tmin will rise with varied magnitudes during the carbon neutrality period of 2050-2060 under SSP1-1. 9 across East Asia's entire East Asia, while both upward and downward changes will occur for the DTR. According to SSP-1-4. 9, the Tmax and Tmin averaged over East Asia in 2050-2060 will rise by 1. 43 b0 and 2. 04 b0 under SSP2-4. 5, with 2. 67 u00b0 and 2. 85 under SSP0-5.

Source link: https://ui.adsabs.harvard.edu/abs/2022ThApC.tmp..272Z/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