Carbon Dioxide Sequestration Research Articles

Carbon sequestration by ecosystems of cold territories of Transbaikalia

In the Baikal region, the continuous cryolithozone occupies ≈15, the transitional intermittent zone with Talikov islands – 30, the transitional island zone – 45, taliki with a continuous area – 10%. Attention is drawn to the dominance of the transition band, which is characterized by unstable thermodynamic equilibrium. High-temperature permafrost is easily degraded by technoconversion of external heat exchange conditions: removal of ground covers (organogenic layer and snow cover), deforestation, plowing, fires, etc. These circumstances increase the natural hazards and risks in the region. In this regard, the territory of Transbaikalia is of great interest, being in the permafrost zone and near its southern border, on the one hand, and with increased warming rates in recent decades, on the other. The continentality and severity of the climate in Buryatia are much more pronounced than in neighboring single-latitude regions of Russia. The southern boundary of the cryolithozone stretches almost throughout the entire territory of the republic, within which a whole range of landscapes is distinguished – from automorphic forest ecosystems to widespread, due to the high proportion of lakes and swamps, hydromorphic landscapes formed under the active influence of permafrost, as well as dry-steppe. The implementation of the Kyoto Protocol on Stabilization of Greenhouse Gas (GHG) Concentrations in the Atmosphere requires a quantitative assessment of spatiotemporal changes in terrestrial carbon sinks. Identifying areas with high potential and strategies for managing sequestration of atmospheric carbon dioxide by ecosystems is an important task and there is great uncertainty about the actual estimates of carbon reservoirs and how they may be affected by climate change. In the current conditions, we consider the study of the patterns of functioning of the soil and plant carbon reservoir in Transbaikalia to be timely and relevant.

Potential role of meiofauna in bioremediation: results from a microcosm experiment.

Meiofauna can act as remediation organisms by stimulating microphytobenthos, sequestering carbon dioxide, and degrading organic debris. Sediments from two basins in Lake Mariut, Egypt, which had undergone multiple rounds of restoration, were used in microcosm experiments to assess the role of meiofauna in organic matter degradation. Treatments included sediments with and without fauna, and four chlorophyll-a additions (0.002, 0.035, and 0.005 mg/ml, with 0.000 mg/ml as the reference). Meiofauna, chlorophyll-a, and organic matter were measured over two 8-month periods in 2014. Most treatments exhibited a rapid loss of organic matter, reducing organic content by two to eight times by study end. By the end, meiofaunal populations increased one- to 13-fold in microcosms with algae additions of 0.035 and 0.005 mg/ml chlorophyll-a in the Main and Northwest basins but had no change in those with 0.002 and zero mg/ml. Meiofauna abundance rose with rising temperature and oxygen levels, while organic matter declined. There was no correlation between chlorophyll-a levels and meiofauna abundance indicating that meiofauna likely play a role in the aerobic decomposition of organic matter at high temperatures. The meiofauna contribute to the diversity of ecosystems and have a potential role in ecosystem processes; therefore, conservation efforts should also include meiofauna.

Optimizing cover crop practices as a sustainable solution for global agroecosystem services

The practice of cover crops has gained popularity as a strategy to improve agricultural sustainability, but its full potential is often limited by environmental trade-offs. Using meta-analytic and data-driven quantifications of 2302 observations, we optimized cover crop practices and evaluated their benefits for global agroecosystems. Cover crops have historically boosted crop yields, soil carbon storage, and stability, but also stimulated greenhouse gas emissions. However, combining them with long-term implementation (five years or more) and climate-smart practices (such as no-tillage) can enhance these services synergistically. A biculture of legume and non-legume cover crops, terminated 25 days before planting the next crop and followed by residue mulching, is the optimal portfolio. Such optimized practices are projected to increase agroecosystem multiservices by 1.25%, equivalent to annual gains of 97.7 million metric tons in crop production, 21.7 billion metric tons in carbon dioxide sequestration, and 2.41 billion metric tons in soil erosion reduction. By 2100, the continued implementation of optimized practices could mitigate climate-related yield losses and contribute to climate neutrality and soil stabilization, especially in harsh and underdeveloped areas. These findings underscore the promising potential of optimized cover crop practices to achieve the synergy in food security and environmental protection.

Rational engineering of a highly active and resilient α-carbonic anhydrase from the hydrothermal vent speciesPersephonella hydrogeniphila.

Carbonic anhydrases (CAs) are ideal catalysts for carbon dioxide sequestration in efforts to alleviate climate change. Here, we report the characterisation of three α-CAs that originate from the thermophilic bacteria Persephonella hydrogeniphila (PhyCA), Persephonella atlantica (PaCA), and Persephonella sp. KM09-Lau-8 (PlauCA) isolated from hydrothermal vents. The three α-Cas, showing high sequence similarities, were produced in Escherichia coli, purified and characterised. Surprisingly, they revealed very different behaviours with regards to their thermostability profiles. PhyCA presented a more stable thermostability profile amongst the three, thus we chose it for rational engineering to improve it further. PhyCA's residue K88, a proton transfer residue in α-CAs, was mutated to His, Ala, Gln and Tyr. A 4-fold activity improvement was noted for variants K88H and K88Q at 30 °C, owing to the higher proton transfer efficiency of the replacement proton transfer residues. K88Q also proved more stable than PhyCA. K88Y did not increase activity, but notably increased thermal stability, with this enzyme variant retaining 50% of its initial activity after incubation for 1 h at 90 °C. Removal of the two main proton shuttles (variant H85A_K88A) resulted in diminished activity of the enzyme. Molecular dynamics simulations performed for PhyCA and all its variants revealed differences in residue fluctuations, with K88A resulting in a general reduction in root mean square fluctuation (RMSF) of active site residues as well as most of the CA's residues. Its specific activity and stability in turn increased compared to the wild type.

Assessing Carbon Sequestration and Biomass Distribution across Diverse Land Use Types in Ban Krang Subdistrict, Phitsanulok Province

This study investigates carbon dioxide (CO₂) sequestration and biomass distribution across various plant components and land use types in Ban Krang Subdistrict, Mueang District, Phitsanulok Province, with the goal of enhancing carbon management strategies. Field surveys were conducted using 14 plots of 40x40 meters to quantify biomass and estimate CO₂ sequestration across different vegetation types. The findings reveal an average CO₂ sequestration of 122.81 Ton ha⁻¹, with aboveground biomass, particularly stems, contributing the most to carbon storage. Notably, abandoned perennial crops and mixed perennial crops demonstrated the highest sequestration rates, at 657.94 Ton ha⁻¹ and 613.00 Ton ha⁻¹, respectively. In contrast, agricultural lands such as rice paddies and cassava plantations exhibited the lowest sequestration rates, though rice paddies contributed the highest total CO₂ sequestration, amounting to 61,119.71 Tons, due to their extensive area. The study highlights the critical role of diverse and dense vegetation, particularly perennial crops, in maximizing carbon sequestration. It also underscores the potential for improving carbon storage in agricultural lands through better land management practices. The results suggest that targeted strategies should prioritize high-sequestration land use types while also enhancing carbon storage in low-sequestration areas. By optimizing land use and management practices, the region can significantly increase its carbon storage capacity, contributing to climate change mitigation and promoting long-term ecological sustainability. These insights are crucial for formulating effective carbon management strategies in Ban Krang Subdistrict, as well as in other comparable regions.

Enhancing soil organic carbon prediction of LUCAS soil database using deep learning and deep feature selection

The main terrestrial carbon (C) fraction is soil organic carbon (SOC), which has a considerable effect on climate change and greenhouse gas emissions through the absorption and sequestration of carbon dioxide (CO2). This has made SOC assessment very important from both economic and environmental viewpoints. The growing count of soil spectral libraries (SSLs) from regional to global scales has brought a tremendous opportunity for the quantification of SOC through developing spectral-based prediction models. Hence, there is a need to take advantage of big data analytics for spectral data processing. The unique ability of deep learning (DL) techniques to leverage important features of high-dimensional large-scale SSLs has made them top-demanding for more sophisticated modeling. The core objective of the present study was to assess the ability of two different DL algorithms, i.e., one-dimensional convolutional neural network (1DCNN) and fully connected neural network (FCNN) coupled with stacked autoencoder (SAE) feature extraction for SOC prediction based on the data from the land use/cover area frame statistical survey (LUCAS) database. SAE extracted the high-level deep features from the visible–near-infrared–shortwave infrared (Vis–NIR–SWIR) spectra of 11441 soil samples, which were then considered as inputs to the 1DCNN and FCNN models for predicting the SOC content. Both SAE-DL feature-selected models yielded higher accuracy than those the DL developed on the entire spectra and a random forest (RF) model was constructed for comparison. The best prediction was achieved by SAE-1DCNN (R2= 0.78, RMSE = 3.94%, RPD = 4.88, RPIQ = 3.91) followed by 1DCNN (R2= 0.73, RMSE = 5.43%, RPD = 3.67, RPIQ = 2.84) proving the superiority of 1DCNN over FCNN in this study. These results supported the applicability of combined deep features extraction and regression methods for predicting SOC using high dimensional large-scale SSLs.

Advances and Applications of Carbon Capture, Utilization, and Storage in Civil Engineering: A Comprehensive Review

This paper thoroughly examines the latest developments and diverse applications of Carbon Capture, Utilization, and Storage (CCUS) in civil engineering. It provides a critical analysis of the technology’s potential to mitigate the effects of climate change. Initially, a comprehensive outline of CCUS technologies is presented, emphasising their vital function in carbon dioxide (CO2) emission capture, conversion, and sequestration. Subsequent sections provide an in-depth analysis of carbon capture technologies, utilisation processes, and storage solutions. These serve as the foundation for an architectural framework that facilitates the design and integration of efficient systems. Significant attention is given to the inventive application of CCUS in the building and construction industry. Notable examples of such applications include using carbon (C) in cement and promoting sustainable cement production. Economic analyses and financing mechanisms are reviewed to assess the commercial feasibility and scalability of CCUS projects. In addition, this review examines the technological advances and innovations that have occurred, providing insight into the potential future course of CCUS progress. A comprehensive analysis of the environmental and regulatory environments is conducted to evaluate the feasibility and compliance with the policies of CCUS technology deployment. Case studies from the real world are provided to illustrate effectiveness and practical applications. It concludes by emphasising the importance of continued research, policy support, and innovation in developing CCUS technologies as a fundamental component of sustainable civil engineering practices. A tenacious stride toward carbon neutrality is underscored.

Life cycle assessment of enhanced geothermal systems with CO2 as a working fluid—polish case study

AbstractLife-cycle assessment (LCA) is a methodology used to quantify the sustainability of a product, system, or process over its lifetime. The approach allows us to determine energy and material consumption at all life cycle stages, from raw material extraction to the end of a product's life, including the design, production, operation, and end-of-life stages. The LCA aims to assess the overall environmental impact of a facility, consider its strengths and weaknesses, and identify possible solutions to reduce the environmental burden sustainably. This research focuses on a novel approach to using carbon dioxide (CO2) as a working medium. The following research combines two key aspects of electricity production and carbon dioxide sequestration, a solution that can contribute to producing clean energy and reducing CO2 in the atmosphere. This paper aimed to assess the impact of enhanced geothermal systems (EGS) through a life-cycle analysis carried out under Polish conditions for the Gorzow block. It includes differentiating the main impact categories and key system components that indicate the most vulnerable areas. A framework available in the literature and the modelling results performed within the EnerGizerS project were adapted to carry out the study. Calculations were performed using SimaPro software. The work was performed for EGS with supercritical CO2 (sCO2-EGS) as the working fluid in a configuration involving direct expansion in a turbine for electricity production. An environmental impact assessment was conducted, including estimating the carbon footprint for such an installation and different working fluid mass flows. The main objective of the environmental analysis is to examine how the project will affect the various environmental elements (air, water, soil) or forms of nature conservation and to identify ways to prevent, reduce or minimise the effects of the planned investment. The study results show that the construction phase, which includes well drilling and hydraulic fracturing, has the most significant impact on the environment with climate change values for different working fluid mass flows. This phase dominates the indicators obtained, which are considered typical for renewable energy sources. Graphical Abstract

Synthetic biology‐enhanced microalgae for biofuel production: a perspective

AbstractThe development of microalgae‐based biofuels has emerged as a promising solution to address the pressing global challenges of climate change, resource scarcity, and the need for renewable energy sources. Microalgae possess unique capabilities that make them an attractive feedstock for biofuel production, including their ability to capture and sequester carbon dioxide, their efficient use of water and land resources, and the potential for them to utilize waste streams as nutrient sources. This paper provides a comprehensive overview of the environmental and economic implications of microalgae‐derived fuels, highlighting the key benefits and remaining challenges. The integration of synthetic biology to enhance microalgae strains, optimize cultivation and processing, and diversify revenue streams is explored as a means to address the economic barriers to large‐scale commercialization. As research and development in this field continue to progress, the future prospects of microalgae‐based biofuels are discussed, underscoring their potential to reshape the global energy landscape towards a more sustainable and economically viable future.

Desorption hysteresis in organic-rich formations: Implications for long-term carbon dioxide sequestration and hydrogen recovery factor

This study explores the potential of organic-rich formations for geo-storage of hydrogen and carbon dioxide using a novel molecular simulation workflow combing Grand Canonical Monte Carlo (GCMC) and Molecular Dynamics (MD) to delineate the interplay between pore structure, kerogen maturity, and the resulting adsorption–desorption behavior. The investigation utilizes two representative kerogen models – immature (II-A) and overmature (II-D) – to account for the inherent heterogeneity of organic-rich formations. The simulations demonstrate a direct correlation between kerogen maturity and gas sorption capacity. The overmature model, with its larger intermolecular spaces, exhibits a higher capacity for both H2 and CO2 compared to the immature one. Notably, CO2 displays a significantly stronger affinity towards the organic material, resulting in a much higher sorption capacity compared to H2 for both kerogen types. The key finding lies in the contrasting desorption profiles for H2 and CO2. H2 desorption exhibits minimal hysteresis, suggesting readily recoverable gas with minimal trapping within the kerogen structure. This signifies the potential for efficient H2 storage with minimal losses during retrieval stages. Conversely, CO2 desorption displays a pronounced hysteresis loop, indicating significant gas retention within the formation even at lower pressure. This behavior aligns perfectly with the objective of CO2 sequestration, where minimizing leakage risk is paramount. These contrasting effects of hysteresis on H2 storage and CO2 sequestration highlight the unique suitability of organic-rich formations for both applications. Additionally, the study suggests a potential link between kerogen maturity and the magnitude of the hysteresis loop. Such insights could be instrumental in selecting optimal formations for targeted geo-storage operations.

Harnessing the power of machine learning for the optimization of CO2 sequestration in saline aquifers: Applied on the tensleep formation at teapot dome in Wyoming

The sequestration of carbon dioxide in deep saline aquifers offers a highly promising approach to mitigate CO2 emissions resulting from the fossil fuels industry. The practicality of this solution is mostly dependent upon the CO2 trapping efficiency, which governs the capacity of the aquifer for CO2 storage. Generally, the compositional reservoir simulation is employed to evaluate the trapping efficiency, but is computationally expensive, particularly when adjusting parameters necessitates hundreds of simulations. In this paper, A machine learning (ML) proxy model was used to address these difficulties for fast evaluation and optimization of the residual and dissolution trapping mechanisms in the Tensleep sandstone formation in the Teapot Dome Field, located in Wyoming, USA. The initial CO2 storage capacity of the aquifer was calculated to be 17.7 thousand tons. In the simulation model, several injection wells were placed in the high porosity regions and CO2 injection was simulated over duration of 10 years, followed by a 90-year post-injection period. The injection rates were optimized to maximize the overall trapping efficiency, which takes into account both residual and solubility indices. In order to construct a dataset for machine learning-based proxy models, the Latin hypercube sampling technique was adopted to generate 100 simulation runs that varied operating constraints: maximum injection rate, maximum injection pressure, and number of injection wells. The Radial Basis Function-Artificial Neural Network (RBF-ANN) was specifically trained to accurately determine the most appropriate injection rates by identifying complex and non-linear correlations within the data. The total CO2 trapping effectiveness by the RBF-ANN model was enhanced from 75% to 83%, accompanied by an insignificant increase in the leakage index from 0.64% to 1.3%. The results indicated that machine learning proxy modeling offers a rapid and accurate approach to optimize the storage of CO2 in saline aquifers. Through the reduction of CO2 emissions, this method significantly improves the viability of large-scale sequestration projects, so making a valuable contribution to climate change mitigation.

Non-Linear Models for Tree Aboveground Biomass and Volume Estimation in Agoi-Ibami Forest Reserve, Cross River State, Nigeria

Tree biomass and volume estimation based on allometric equations is a widely used non-destructive technique for estimating biomass, sequestered carbon, and volume worldwide. Non-linear models for the biomass and volume of individual trees in Nigeria's Cross River State's Agoi-Ibami Forest Reserve were fitted and validated in this study. In this study, two parallel lines transect of 1500 meters in length, separated by 500 meters, were established using the systematic line transects sampling method. Along each transect, ten sample plots, each measuring 50 m by 50 m, were placed alternately at 100 m intervals. Twenty sample plots in all were thus marked for the study. The estimation of biomass using a non-destructive method was used. To calculate the aboveground green biomass for each, the diameter at breast height and total height were employed. Agoi-Ibami Forest Reserve had a total value of 391N ha-1 for number of stem per hectare, 14 tree families, mean dbh of 26.04cm, height of 15.9m, and basal area of 50.21m2ha-1. Conversion factors were used to estimate stand biomass, carbon sink, and sequestered carbon dioxide (CO2). Non-linear models were fitted for volume and aboveground biomass estimation in the study area. All of the models were evaluated and validated using some assessment statistical criteria and residual graphs, and models with good fit were suggested for use. Curve Expert Software was used for the development of the non-linear regression models. According to the assessment criteria, the forest reserve's best non-linear volume and aboveground biomass models were the Ratkowsky, Weibull, and Logistic models. Fitted models should therefore be employed for the forest reserve's efficient and successful management.

Light-dependent methane production by a coccolithophorid may counteract its photosynthetic contribution to carbon dioxide sequestration

Many phytoplankton produce methane, a potent greenhouse gas. However, little is known about the relationship between their methane production and photosynthesis, which drives carbon sequestration in the oceans. Here, by ruling out the possibility of classical methanogenesis, we show that the bloom-forming marine microalga Emiliania huxleyi released methane during photosynthesis (did not generate it in darkness) while grown under different light levels, the amount of methane released correlated positively with photosynthetic electron transfer and carbon fixation. Under growth-saturating light, E. huxleyi produces methane at a maximal rate of about 6.6 ×10−11 μg cell−1 d−1 or 3.9 μg g−1 particulate organic carbon d−1. The microalga released up to 7 moles methane while fixing about 105 moles of carbon dioxide. Considering the higher global warming potential of methane than that of carbon dioxide and complicated processes involved in methane air-sea fluxes, the warming potential of phytoplankton methane production should be broadly evaluated.

The Effect of Wettability on Confinement-Induced Phase Behavior and Storage of Alkane in Nanoporous Media.

The impact of wettability on the confined phase behavior of fluids is paramount for various applications, such as gas storage, carbon dioxide sequestration, and water purification. However, the understanding of the fluid-solid intermolecular interactions in confined systems is still limited and requires further investigation. This work investigates the effect of hydrophilic and hydrophobic nanoporous materials on the adsorption and desorption isotherms of n-butane. The hydrophilic samples in this research are MCM-41 silica powder with two different pore sizes (80 and 100 Å). MCM-41 samples were successfully treated with hexamethyldisilazane (HMDS) to create hydrophobic adsorbents. Isotherms of n-butane in materials with different wetting states were generated at various temperatures using an upgraded gravimetric apparatus. The results demonstrated that n-butane was adsorbed more onto the hydrophilic MCM-41 materials during the initial adsorption process. The lower affinity between n-butane and the modified MCM-41 samples slightly increased the capillary condensation and evaporation pressures in these materials compared to those in the original ones. However, it is noted that wettability's influence on the confined phase transitions of n-butane was not significant in this study. Interestingly, the hysteresis behavior of the vapor-liquid and liquid-vapor phase transitions due to confinement was independent of the surface's wetting properties. Kelvin's equation for a hemispherical meniscus was adopted to evaluate the capillary evaporation pressures of n-butane in nanopores. The calculated pressures showed agreement with experimental data when appropriate pore size and surface tension values were applied. These findings provide valuable insights into the impacts of surface chemistry and wettability on the phase behavior of hydrocarbon gas in nanoporous media. Furthermore, this study enriches the experimental database on confined fluids, which is essential for developing accurate theoretical and modeling tools for numerous industrial and scientific applications.

Influence of Microwave-Assisted Supercritical Carbon Dioxide Treatment on the Pore Structure of Low-Rank Coal.

CO2 injection into coal seams not only enhances coalbed methane (CBM) extraction but also allows for CO2 sequestration. Microwave irradiation is considered to be an effective technology to enhance CBM extraction. In this paper, the effects of microwave irradiation and supercritical CO2 immersion on the pore structure of low-rank coals were investigated by scanning electron microscopy (SEM), mercury-in-pressure (MIP), low-temperature nitrogen adsorption (LTN2GA), and carbon dioxide isothermal adsorption/desorption (CO2IA/D) of coal samples. The results showed that the macropores and micropores of the coal samples were more developed after microwave irradiation. After carbon dioxide immersion, the coal samples showed huge fissures, and the meso- and micropores were reduced. In contrast, microwave-assisted carbon dioxide not only reduced the specific surface area in the meso- and microporous stages and decreased the adsorption sites of methane but also enhanced the pore connectivity in the macroporous stage instead of the appearance of huge fissures. This study illustrates the potential of microwave-assisted supercritical carbon dioxide for enhanced coalbed methane extraction and carbon dioxide sequestration.

Enhancing Sustainability in Construction: A Systematic Review of Carbon-Absorbing Concrete Technologies and Applications

The construction industry's substantial contribution to global carbon emissions necessitates the development of sustainable building materials. Carbon-absorbing concrete offers a promising solution by sequestering carbon dioxide during its production and usage, potentially mitigating the environmental impact of traditional concrete. This study provides a comprehensive analysis of carbon-absorbing concrete, focusing on its production methods, material composition, and the effectiveness of various carbon sequestration techniques. A systematic literature review was conducted to identify and evaluate methodologies used in creating carbon-absorbing concrete, including supplementary cementitious materials, carbonation curing processes, and innovative carbon capture technologies. Key findings suggest that incorporating materials such as fly ash, graphene oxide, and blast furnace slag not only enhances the concrete's carbon absorption capabilities but also improves its mechanical properties, including compressive strength and durability. Challenges remain in optimizing the mix designs and understanding the long-term durability of these materials. However, this research highlights the potential for carbon-absorbing concrete to advance sustainable construction practices and reduce the carbon footprint of the built environment. Future studies are recommended to explore material optimization, lifecycle assessments, and real-world applications to maximize the efficacy and scalability of carbon-absorbing concrete.

Unveiling the Obscure Potential of O-Carborane Based IFLPs for CO2 Sequestration.

Sequestering carbon dioxide (CO2) from the atmosphere is necessary to achieve a sustainable environment. However, the thermodynamic stability of the CO2 molecule poses a significant challenge to its capture, necessitating catalysts that can overcome this stability. The emergence of frustrated Lewis pairs (FLPs) has opened a new dimension in the development of organocatalysts for CO2 capture and utilization. To date, various FLPs have been developed for CO2 sequestration, yet the quest for robust FLPs continues. Based on the intriguing electronic effects of the carborane polyhedral, o-carboranes can be projected as a versatile bridging unit for intramolecular FLPs (IFLPs). In the present work, o-carborane based IFLPs i. e., 1-Al(CH3)2-2-P(CH3)2-1,2-C2B10H10, 1-B(CH3)2-2-P(CH3)2-1,2-C2B10H10, 1-Al(CH3)2-2-N(CH3)2-1,2-C2B10H10, 1-P(CH3)2-2-B(CH3)2-1,2-C2B10H10 abbreviated as AlP, BP, AlN and BN have been proposed for the activation of CO2 molecule. The density functional theory (DFT) based calculations and thorough orbital analysis have been carried out to extensively study the electronic structure of the o-carborane unit. The proposed IFLPs were systematically compared with their corresponding phenyl bridged analogues to assess the effect of o-carborane bridging unit on the reactivity of the acidic and basic sites. The results show that the o-carborane supported IFLPs are more reactive towards CO2 than the phenyl bridged IFLPs. Also, placing the basic site on the B atom at the 4th position of the o-carborane bridge rather than the C atom at the 2nd position results in more reactive IFLPs.

Estimated in-situ carbon sequestration rates in a weathered silicate basin, southwestern Idaho, U.S.A.

Silicate weathering can induce calcite precipitation from groundwater, enabling carbon dioxide (CO2) sequestration in the critical zone (CZ), which acts as a net carbon sink with significant implications for the global carbon budget. In weathered silicates, secondary calcite dissolution accompanies precipitation-dissolution reactions, and it is unclear how calcite dissolution affects CO2 consumption in natural settings. At the Reynolds Creek Experimental Watershed - Critical Zone Observatory (RCEW-CZO), southwestern Idaho, USA, we estimate in-situ carbon sequestration rates in a semi-arid weathered silicate aquifer using hydrochemical compositions and age tracers from 6 springs and 10 wells. We delineate water-rock interactions by using observed groundwater chemistry to model open system carbon evolution, evapoconcentration in wells, silicate weathering, and formation of clays along groundwater flowpaths. We suggest carbonate precipitation under closed system conditions in deep groundwater, as calcite saturation is reached and CZ CO2 drops to just 41 % of initial concentrations in older waters. In a closed system, we estimate approximately 9 % of CZ CO2 would precipitate, indicating that on-going water-rock interactions in our weathered silicate system appear to drive continued carbon sequestration. Carbon sequestration rates via silicate weathering may help to explain a missing C sink observed at the RCEW-CZO and in other weathered silicate basins.

Correction to: Harnessing green tide Ulva biomass for carbon dioxide sequestration

Correction to: Harnessing green tide Ulva biomass for carbon dioxide sequestration

Progress in carbon dioxide capture, storage and monitoring in geological landform

Carbon Capture and Storage (CCS) is recognized as a potent strategy for managing the accumulation of human-generated CO2 in the atmosphere, helping to alleviate climate change’s effects. The CO2 gas is captured from the point source through methods such as pre-treating fossil fuels, oxy-fuel combustion, or post-combustion capture; thereafter; it is transported to a storage location and injected into geological formations. This article provides an overview of carbon dioxide capture and sequestration, focusing on its key principles, technologies, associated risks, and challenges. Direct Air Capture (DAC) and Scalable Modelling, Artificial intelligence (Al), Rapid Theoretical calculations SMART technologies are detailed as emerging and promising approaches to CO2 capture. Numerous pilot and commercial projects commissioned to manage carbon dioxide emissions are presented. Additionally, the paper explores approaches combining geological, geophysical, geochemical, and environmental monitoring techniques to ensure the secure and sustainable storage of CO2 underground. These are essential to address uncertainties, minimize risks, and build public confidence in CCS as a viable climate mitigation strategy. The successful deployment of these technologies on a global scale will require continued innovation, particularly in the areas of monitoring, risk management, and public engagement. Emerging technologies such as AI and SMART systems could play a crucial role in enhancing the efficiency and safety of CCS operations. However, the integration of these advancements with existing infrastructure and regulatory frameworks remains a challenge. Ultimately, a multi-disciplinary approach, combining technological, economic, and regulatory perspectives, will be vital to realizing the full potential of CCS in combating climate change.