Enhancing process monitoring and control in novel carbon capture and utilization biotechnology through artificial intelligence modeling: An advanced approach toward sustainable and carbon-neutral wastewater treatment

Chemosphere, Год журнала: 2025, Номер 376, С. 144299 - 144299

Опубликована: Март 17, 2025

Язык: Английский

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Cotton under heat stress: a comprehensive review of molecular breeding, genomics, and multi-omics strategies

Frontiers in Genetics, Год журнала: 2025, Номер 16

Опубликована: Март 18, 2025

Cotton is a vital fiber crop for the global textile industry, but rising temperatures due to climate change threaten its growth, quality and yields. Heat stress disrupts key physiological biochemical processes, affecting carbohydrate metabolism, hormone signaling, calcium gene regulation expression. This review article explores cotton's defense mechanism against heat stress, including epigenetic regulations transgenic approaches, with focus on genome editing tools. Given limitations of traditional breeding, advanced omics technologies such as GWAS, transcriptomics, proteomics, ionomics, metabolomics, phenomics CRISPR-Cas9 offer promising solutions developing heat-resistant cotton varieties. highlights need innovative strategies ensure sustainable production under change.

Язык: Английский

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Dual-stage soft sensor-based fault reconstruction and effluent prediction toward a sustainable wastewater treatment plant using attention fusion deep learning model

Journal of environmental chemical engineering, Год журнала: 2025, Номер unknown, С. 116221 - 116221

Опубликована: Март 1, 2025

Язык: Английский

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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Дек. 28, 2024

With the accelerated urbanization and economic development in Northwest China, efficiency of urban wastewater treatment importance water quality management have become increasingly significant. This work aims to explore carbon reduction mechanisms China alleviate resource pressure. By utilizing online monitoring data from pilot systems, it conducts an in-depth analysis impacts different processes on parameters. pays particular attention their impact key indicators such as Chemical Oxygen Demand (COD), NH4+-N, Total Phosphorus (TP), Nitrogen (TN), application predictive models. The first establishes a Random Forest Regression (RFR) model. RFR algorithm integrates Bagging ensemble learning random subspace theory construct multiple decision trees aggregate predictions, thereby enhancing model's prediction accuracy stability. Using bootstrap sampling, model generates training subsets original randomly selects variables regression trees. Its performance predicting various is then evaluated. results show that exhibits excellent performance, achieving high levels stability for all indicators. For example, R2 COD 0.99954, while values TP, TN predictions reach 0.99989. Compared five other models, demonstrates best across indicator predictions. provides critical support optimizing technologies developing policies. These findings also offer essential theoretical empirical insights future improvement decision-making.

Язык: Английский

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Optimizing Nitrogen and Phosphorus Removal from Wastewater in the Context of a Sustainable Economy

Water, Год журнала: 2024, Номер 16(11), С. 1585 - 1585

Опубликована: Май 31, 2024

In the context of ever-increasing water demand and pressures on natural resources, efficient management is becoming a major priority for contemporary society. Since nitrogen phosphorus, as essential nutrients, play crucial role in dynamics aquatic ecosystems, but excessive concentrations can cause eutrophication receptors, they need to be eliminated completely possible while respecting principles sustainable economy, efficiency, quality. this study, efficiency optimizing technological process wastewater treatment by dosing FeCl3 40% solution reduce phosphorus treated was investigated. The results obtained revealed that use type flocculant resulted an increase removal total N average 35.57 mg/L P 3.89 mg/L. Also, results, which are interpreted mathematical modeling, show optimal leads significant reduction pollutants, well below maximum permitted values (according Romanian regulations, value 2 15 localities with population between 10,000 100,000 inhabitants). This technical approach not only improves quality also contributes minimizing impact ecosystems promotes circular economy resource management. By dosage process, coagulation flocculation processes maximized, thus providing viable reducing environmental promoting responsible

Язык: Английский

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How small is big enough? Big data-driven machine learning predictions for a full-scale wastewater treatment plant

Water Research, Год журнала: 2024, Номер unknown, С. 123041 - 123041

Опубликована: Дек. 1, 2024

Язык: Английский

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