Effect of carbonation curing on the characterization and properties of steel slag-based cementitious materials

Cement and Concrete Composites, Год журнала: 2024, Номер unknown, С. 105769 - 105769

Опубликована: Сен. 1, 2024

Язык: Английский

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A review on carbon storage via mineral carbonation: Bibliometric analysis, research advances, challenges, and perspectives

Separation and Purification Technology, Год журнала: 2024, Номер 338, С. 126558 - 126558

Опубликована: Фев. 1, 2024

Язык: Английский

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Tree-structured parzen estimator optimized-automated machine learning assisted by meta–analysis for predicting biochar–driven N2O mitigation effect in constructed wetlands

Journal of Environmental Management, Год журнала: 2024, Номер 354, С. 120335 - 120335

Опубликована: Фев. 17, 2024

Язык: Английский

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Enhanced Insights into Effluent Prediction in Wastewater Treatment Plants: Comprehensive Deep Learning Model Explanation Based on SHAP

ACS ES&T Water, Год журнала: 2024, Номер 4(4), С. 1904 - 1915

Опубликована: Апрель 2, 2024

Models are increasingly being utilized to improve the understanding and operation of wastewater treatment plants (WWTPs) in face escalating water resource challenges. Abundant operational data provide extensive opportunities for development machine learning (ML) deep (DL) models. However, coupling time lag among features exacerbate black-box nature such models, hindering their application WWTPs. In this study, we construct a DL model using long short-term memory (LSTM) algorithm capable accurately predicting effluent quality full-scale WWTP with finely tuned hyperparameters rationally chosen input features. Comprehensive explanation based on Shapley additive explanations (SHAP) is implemented clarify contributions multivariate series (MTS) inputs predicted results terms feature dimensions. The LSTM models exhibit excellent accuracy (R2 0.96, 0.95, 0.76 MAPE 5.49, 7.17, 13.37%, respectively) chemical oxygen demand (COD), total phosphorus (TP), nitrogen (TN) better than other baseline ML SHAP quantify what most important when they exert influence how impact results. analysis from temporal dimension further explains characteristics process justifies introduction MTS. Compared correlation without engineering, selection method by significantly enhances predictive accuracy. combinations adjusted values, strong interactions significant output identified. This novel attempt both explainability MTS prediction work shows potential applying WWTPs performance.

Язык: Английский

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Carbonated steel slag as supplementary cementitious material: Paving the way to full reutilization

Case Studies in Construction Materials, Год журнала: 2025, Номер unknown, С. e04535 - e04535

Опубликована: Март 1, 2025

Язык: Английский

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Assessment of Global Antibiotic Exposure Risk for Crops: Incorporating Soil Adsorption via Machine Learning

Environmental Science & Technology, Год журнала: 2024, Номер unknown

Опубликована: Июль 20, 2024

The overuse and misuse of antibiotics could significantly increase their accumulation in soils. Consequently, possibly enter food chain through crop uptake, posing a threat to global security. Assessing the exposure risks for crops is crucial addressing this issue. In study, we assessed antibiotic risk crops, incorporating machine learning adsorption model based on 4893 data sets from nine antibiotics. optimized model, using eXtreme Gradient Boosting algorithm class-specific modeling strategy, demonstrated relatively good performance. Notably, introduced unsaturated soil conditions considered spatiotemporal variations moisture temperature first time such assessment. Global distributions were predicted March, June, September, December. results indicate that influences Relatively high was observed during months with colder local temperatures: generally June Southern Hemisphere December Northern Hemisphere. resulting map highlights high-risk agricultural regions, including southern Canada, western Russia, Australia.

Язык: Английский

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Valorizing inherent resources from waste streams for in-situ CO2 capture and sequestration in the steel industry

Journal of Cleaner Production, Год журнала: 2024, Номер 458, С. 142486 - 142486

Опубликована: Май 11, 2024

Язык: Английский

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Accelerated Carbonation of Steel Slag and Their Valorisation in Cement Products: A Review

Spanish Journal of Soil Science, Год журнала: 2024, Номер 14

Опубликована: Апрель 23, 2024

Mineral carbonation emerges as a promising technology to tackle contemporary challenge: climate change. This method entails the interaction of carbon dioxide with metal-oxide-bearing materials produce solid carbonates resembling common substances (chalk, antacids, or baking soda). Given that steelmaking industries contribute 8% global total emissions annually, repurposing their by-products holds potential mitigate CO 2 production. Steel slag is by-product metallurgical industry which suitable for capturing due its chemical composition, containing high CaO (24%–65%) and MgO (3%–20%) amounts, increases reactivity . Moreover, process can improve hydraulic mechanical properties steel slag, making this interesting be reused in building materials. Different studies have developed last years addressing possibilities reducing environmental impact products, by sequestration. study dedicated reviewing basics mineral applied along recent advancements research. Special emphasis placed on identifying parameters facilitate reactions exploring applications resulting products. The advantages disadvantages industrialization are also discussed.

Язык: Английский

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Annual progress in global carbon capture, utilization, and storage in 2023

Energy Science & Engineering, Год журнала: 2024, Номер 12(9), С. 3967 - 3981

Опубликована: Июль 16, 2024

Abstract Since the industrial revolution, global anthropogenic CO 2 emissions have surged dramatically to unsustainable levels, resulting in severe issues, such as warming, extreme weather events, and species extinction. In response this critical situation, extensive efforts been undertaken across academia, industry, policymaking sectors deploy carbon capture, utilization, storage (CCUS) technologies. Here, we present annual summary of CCUS for year 2023. We begin by discussing trends atmospheric concentrations, then offer an up‐to‐date progress policy, respectively. analyze number categories publications highlight some key breakthroughs. industry sector, meticulously collect information on operational commercial carbon‐capture facilities. Furthermore, elucidate significant policy announcements reforms diverse regions. This concise comprehensive report aims inspire ongoing collaboration among policymakers toward advancing neutrality.

Язык: Английский

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The Utilization of Carbonated Steel Slag as a Supplementary Cementitious Material in Cement

Materials, Год журнала: 2024, Номер 17(18), С. 4574 - 4574

Опубликована: Сен. 18, 2024

Carbon emission reduction and steel slag (SS) treatment are challenges in the industry. The accelerated carbonation of SS carbonated (CSS) as a supplementary cementitious material (SCM) cement can achieve both large-scale utilization CO2 reduction, which is conducive to low-carbon sustainable development. This paper presents status CSS. route its effects on properties CSS described. reaction leads decrease average density, an increase specific surface area, refinement pore structure, precipitation different forms calcium carbonate surface. Carbonation area by about 24–80%. literature review revealed that uptake 2–27 g/100 g SS. using SCM mechanical properties, workability, volume stability, durability, environmental performance, hydration kinetics, microstructure materials also analyzed evaluated. Under certain conditions, has positive effect hydration, improve bulk sulfate resistance mortar. Meanwhile, inhibits leaching heavy metal ions from solid matrix. application mainly focuses strength, with less attention being given durability performance. prospects for concrete industry

Язык: Английский

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