Biochar mitigates greenhouse gas emissions from bulk soil in wheat-corn rotation system by inhibiting biochemical decomposition

Agriculture Ecosystems & Environment, Journal Year: 2025, Volume and Issue: 386, P. 109600 - 109600

Published: March 10, 2025

Language: Английский

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Competitive adsorption of exchangeable Al3+ on the surface of lignosulfonate contributes to reducing soil acidification while improving soil fertility: Findings from a density functional theory calculation

Environmental Technology & Innovation, Journal Year: 2024, Volume and Issue: 35, P. 103716 - 103716

Published: June 10, 2024

Soil acidification poses a significant threat to the healthy development of agriculture. Traditional soil amendment involving lime (L) has notable limitations. Therefore, developing alternative methods address holds significance. In this study, calcium lignosulfonate (LC) was introduced different acidic purple soils assess its efficacy in reducing acidity and enhancing fertility. The density functional theory (DFT) calculation employed analyze potential interaction mechanisms LC decreasing acidity. results indicated that 2 ‰ addition improved pH by 2.8 organic carbon 26 % poor-quality extremely (with an initial 4.4) after 40-day pot experiment. findings from Fourier Transform infrared spectroscopy (FTIR) DFT suggested competitive adsorption between Al3+ Ca2+ on surface groups (e.g., –SO3- –OH) contributes immobilization exchangeable Al3+. These validate feasibility as application for amending underscore advantages fertility enhancement. molecular model extend understanding key mitigating acidification. This study will highlight agricultural applications contribute more effective amendments ensure cropland health promote sustainable

Language: Английский

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An optimal global biochar application strategy based on matching biochar and soil properties to reduce global cropland greenhouse gas emissions: findings from a global meta-analysis and density functional theory calculation

Biochar, Journal Year: 2024, Volume and Issue: 6(1)

Published: Oct. 23, 2024

Abstract Biochar has been extensively utilized to amend soil and mitigate greenhouse gas (GHG) emissions from croplands. However, the effectiveness of biochar application in reducing cropland GHG remains uncertain due variations properties environmental conditions across regions. In this study, impact surface functional groups on was investigated using molecular model calculation. Machine learning (ML) technology applied predict responses crop yields under different feedstocks rates, aiming determine optimum strategies based specific a global scale. The findings suggest that play an essential role determining activity soil’s capacity for adsorbing GHGs. ML effective method predicting changes yield following application. Moreover, poor-fertility soils exhibited greater compared fertile soil. Implementing optimized strategy may result substantial reduction 684.25 Tg year −1 CO 2 equivalent (equivalent 7.87% emissions) while simultaneously improving yields. This study improves our understanding interaction between GHG, confirming potential mitigating addressing climate degradation. Further research efforts are required optimize such strategies. Graphical

Language: Английский

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Biochar for sustainable agriculture: Improved soil carbon storage and reduced emissions on cropland

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 123147 - 123147

Published: Nov. 6, 2024

Language: Английский

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A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM2.5 Concentrations in Guangzhou City

Toxics, Journal Year: 2025, Volume and Issue: 13(4), P. 254 - 254

Published: March 28, 2025

Surface air pollution affects ecosystems and people’s health. However, traditional models have low prediction accuracy. Therefore, a hybrid model for accurately predicting daily surface PM2.5 concentrations was integrated with wavelet (W), convolutional neural network (CNN), bidirectional long short-term memory (BiLSTM), gated recurrent unit (BiGRU). The data meteorological factors pollutants in Guangzhou City from 2014 to 2020 were utilized as inputs the models. W-CNN-BiGRU-BiLSTM demonstrated strong performance during phase, achieving an R (correlation coefficient) of 0.9952, root mean square error (RMSE) 1.4935 μg/m3, absolute (MAE) 1.2091 percentage (MAPE) 7.3782%. Correspondingly, accurate is beneficial control urban planning.

Language: Английский

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Biochar carbon-based amendment rather than straw contributes to the mitigation of greenhouse gas emissions while increasing crop yield: Insights from a field experiment and density functional theory calculation

Environmental Technology & Innovation, Journal Year: 2025, Volume and Issue: 39, P. 104250 - 104250

Published: May 6, 2025

Language: Английский

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Superior properties of biochar contribute to soil carbon sequestration and climate change mitigation

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: 13(3), P. 116936 - 116936

Published: May 5, 2025

Language: Английский

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12-year continuous biochar application: Mitigating reactive nitrogen loss in paddy fields but without rice yield enhancement

Agriculture Ecosystems & Environment, Journal Year: 2024, Volume and Issue: 375, P. 109223 - 109223

Published: Aug. 3, 2024

Language: Английский

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Density functional theory calculation for understanding the roles of biochar in immobilizing exchangeable Al3 + and enhancing soil quality in acidic soils

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 290, P. 117630 - 117630

Published: Dec. 31, 2024

Language: Английский

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