Reviews in carbon capture, utilization and storage: 2022
Published in Frontiers in Energy Research
Reviews in carbon capture, utilization and storage: 2022
Increasing the adoption of conservation agriculture: A framed field experiment in Northern Ghana
Conservation agriculture techniques have the potential to increase agricultural production while decreasing CO2 emissions, yet adoption in the developing world remains low—in part because many years of continuous adoption may be required to realize gains in production. We conduct a framed field experiment in northern Ghana to study how incentives a...
Spremljanje procesa metanacije na peletih z nikljevim katalizatorjem s pomocjo IR termografije v visoki locljivosti
Proces kataliticne metanacije obnovljivega vodika in ogljikovega dioksida v biometan predstavlja zelo pomembno rešitev pri zmanjševanju izpustov toplogrednih plinov in hkrati varno uporabo vodika, katerega proizvodnja zaradi vse vecje rabe obnovljivih virov energije in implementacije elektrolize neprestano narašca. Proces kataliticne metanacije z u...
Demonstrating the most effective interventions to improve classroom air quality. What novel in situ tests of real-world ...
Published in Environmental Research: Health
Over 20 years ago a report commissioned by the European Commission identified air quality in schools as a public health priority. Despite this concern, little action was taken in the following two decades. Over the last two years as classrooms were increasingly recognised as hotspots for the transmission of SARS-CoV-2, renewed interest and resource...
Isotopic composition and emission characteristics of CO2 and CH4 in glacial lakes of the Tibetan Plateau
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Published in Environmental Research Letters
Carbon dioxide (CO2) and methane (CH4) emissions from freshwater ecosystems are predicted to increase under climate warming. However, freshwater ecosystems in glacierized regions differ critically from those in non-glacierized regions. The potential emissions of CO2 and CH4 from glacierized environments in the Tibetan Plateau (TP) were only recentl...
Earthworms and plants can decrease soil greenhouse gases emissions by modulating soil moisture fluctuations and soil mac...
Earthworms can stimulate microbial activity and hence, greenhouse gas (GHG) emissions from soils. However, the extent of this effect in the presence of plants and soil moisture fluctuations, which are influenced by earthworm burrowing activity, remains uncertain. Here we report the effect of earthworms (without, anecic, endogeic, both) and plants (...
Impact of high atmospheric carbon dioxide on the biotic stress response of the model cereal species Brachypodium distach...
Published in Frontiers in Plant Science
Losses due to disease and climate change are among the most important issues currently facing crop production. It is therefore important to establish the impact of climate change, and particularly of high carbon dioxide (hCO2), on plant immunity in cereals, which provide 60% of human calories. The aim of this study was to determine if hCO2 impacts ...
Improving the efficiency of Sabatier reaction through H2O removal with low-pressure plasma catalysis
Published in Japanese Journal of Applied Physics
This study aimed to realize in situ resource utilization in deep-space missions. The Sabatier reaction is used to generate CH4 from CO2, which accounts for 95% of the Martian atmosphere, and H2 from H2O on Mars. In general, thermal catalysis at temperatures above 250 °C drives the process. This high-temperature process, however, causes catalyst dea...
The role of stress and fluid saturation on the acoustic response of fractured rock
Published in Frontiers in Earth Science
Standard rock physics models are formulated to describe the behavior of porous sedimentary reservoirs, with clean sandstones being the archetypal system; however, many situations demand geophysical monitoring of rocks with significantly different structures, such as low porosity, fractured reservoirs. Conventional models also suggest that these “st...
Continual Deep Learning for Time Series Modeling.
Published in Sensors (Basel, Switzerland)
The multi-layer structures of Deep Learning facilitate the processing of higher-level abstractions from data, thus leading to improved generalization and widespread applications in diverse domains with various types of data. Each domain and data type presents its own set of challenges. Real-world time series data may have a non-stationary data dist...
