Cited by Machine Learning–Based Analysis of Sustainable Biochar Production Processes

Efficacy of biochar as a catalyst for a Fenton-like reaction: Experimental, statistical and mathematical modeling analysis DOI

Oscar M. Rodríguez-Narváez,

Bhuman Pandita,

Omesh Goyal

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 70, P. 107014 - 107014

Published: Jan. 18, 2025

Language: Английский

Citations

Machine learning-driven prediction of phosphorus adsorption capacity of biochar: Insights for adsorbent design and process optimization DOI

Huafei Lyu,

Ziming Xu,

Jian Zhong

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 369, P. 122405 - 122405

Published: Sept. 4, 2024

Language: Английский

Citations

Machine learning-aided biochar design for the adsorptive removal of emerging inorganic pollutants in water DOI

Habib Ullah,

Sangar Khan,

Xiaoying Zhu

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131421 - 131421

Published: Jan. 1, 2025

Language: Английский

Citations

Carbon source dosage intelligent determination using a multi-feature sensitive back propagation neural network model DOI

Ziqi Zhou, Xiaohui Wu, Xin Dong

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124341 - 124341

Published: Feb. 15, 2025

Language: Английский

Citations

Selecting suitable sites for livestock manure composting via the integration of machine learning, median center and geographic information system DOI

Jingjie Yan,

Bojie Yan,

Wenjiao Shi

et al.

Agricultural Systems, Journal Year: 2025, Volume and Issue: 226, P. 104300 - 104300

Published: March 14, 2025

Language: Английский

Citations

Effects of a Single Biochar Application on Soil Carbon Storage and Water and Fertilizer Productivity of Drip-Irrigated, Film-Mulched Maize Production DOI

Yonglin Jia,

Zhe Xu,

Dongliang Zhang

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(9), P. 2028 - 2028

Published: Sept. 5, 2024

Biochar is a widely recognized soil amendment used to improve physicochemical properties and crop productivity. However, its compositive effects on water, fertilizer, carbon in cropping systems are not extensively understood. A two-year field study was conducted investigate the influence of integrating maize-residue-derived biochar evapotranspiration, water fertilizer utilization efficiency, organic (SOC) content, emissions maize farming, employing drip irrigation conjunction with film mulching. The treatments included following three amendments: 15 (B15); 30 (B30); 45 (B45) t ha−1. exclusively incorporated prior sowing during initial year experiment, no as control (CK). After two years, amendments, especially B30, improved productivity partial factor productivities nitrogen, phosphorus, potassium fertilizer. Relative CK, amendments significantly reduced CO2 CH4 growth by 17.6–40.6% −1.21–268.4%, respectively, averaged across years. best treatment effect achieved adding ha−1 biochar. needed replenishing third for B30 fourth B45 increase SOC content 20 g kg−1. An application rate 22 metric tons per hectare proposed optimize alongside augmenting matter within farming under mulching practices sandy loam soil. must be added at counterbalance losses SOC.

Language: Английский

Citations

Biomass Gasification Characteristic in An Auto-thermal Fixed-bed Gasifier using Air and O2-enriched Air DOI

Ming-Jia Li, Zhiwei Wang, Zaifeng Li

et al.

Journal of the Energy Institute, Journal Year: 2024, Volume and Issue: unknown, P. 101945 - 101945

Published: Dec. 1, 2024

Language: Английский

Citations

Machine Learning–Based Analysis of Sustainable Biochar Production Processes DOI

Ahmet Coşgun,

Burcu Oral, M. Erdem Günay

et al.

BioEnergy Research, Journal Year: 2024, Volume and Issue: 17(4), P. 2311 - 2327

Published: Aug. 10, 2024

Language: Английский

Citations