Landfill mining: A step forward to reducing CH4 emissions and enhancing CO2 sequestration from landfill DOI Creative Commons
Tonni Agustiono Kurniawan, Gamal K. Hassan, Hussein E. Al‐Hazmi

et al.

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100512 - 100512

Published: Oct. 1, 2024

Language: Английский

Reinforcing Urban Resilience through Sound Landfill Management: Addressing Global Climatic Challenges with Novel Solutions DOI
Kai Chen Goh, Tonni Agustiono Kurniawan, Mohd Hafiz Dzarfan Othman

et al.

Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: unknown, P. 106789 - 106789

Published: Jan. 1, 2025

Language: Английский

Citations

0

Green Synthesis of nZVI-Modified Sludge Biochar for Cr(VI) Removal in Water: Fixed-Bed Experiments and Artificial Neural Network Model Prediction DOI Open Access
Hao Zhao, Fengfeng Ma, Xuechang Ren

et al.

Water, Journal Year: 2025, Volume and Issue: 17(3), P. 341 - 341

Published: Jan. 25, 2025

The contamination of aquatic environments with hexavalent chromium (Cr(VI)) poses significant environmental and public health risks, necessitating the development high-performance adsorbents for its efficient removal. This study evaluates potential green-synthesized nanoscale zero-valent iron-modified sludge biochar (TP-nZVI/BC) as an effective adsorbent Cr(VI) removal through isothermal adsorption experiments, fixed-bed column studies, artificial neural network (ANN) modeling. Fixed-bed experiments demonstrated that breakthrough time, exhaustion unit capacity increased bed height. Conversely, these parameters decreased higher influent concentrations flow rates. Breakthrough curve analysis revealed Thomas model provided best fit experimental data (R2 = 0.992–0.998). An ANN model, developed using Levenberg–Marquardt algorithm, employed a single hidden layer six neurons exhibited excellent predictive performance 0.996, MSE 0.520). was validated ability to predict behavior under untested conditions, demonstrating applicability process optimization. highlights superior TP-nZVI/BC establishes theoretical basis optimizing scaling up systems findings provide valuable insights into practical application sustainable materials in remediation.

Language: Английский

Citations

0

Effects of biomass feedstocks on the activation of persulfate by magnetic biochar for the removal of norfloxacin DOI
Yun Zhang,

Yunqiang Yi,

Yue Fu

et al.

Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal Year: 2025, Volume and Issue: unknown, P. 136501 - 136501

Published: March 1, 2025

Language: Английский

Citations

0

One-step construction of sulfur-vacancy-rich SnS/Bi2S3 Z-scheme heterostructure photocatalyst for significant removal of hazardous Cr(VI) DOI
Meng Lan, Xiaoli Dong, Nan Zheng

et al.

Chemical Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 121626 - 121626

Published: April 1, 2025

Language: Английский

Citations

0

Landfill mining: A step forward to reducing CH4 emissions and enhancing CO2 sequestration from landfill DOI Creative Commons
Tonni Agustiono Kurniawan, Gamal K. Hassan, Hussein E. Al‐Hazmi

et al.

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100512 - 100512

Published: Oct. 1, 2024

Language: Английский

Citations

3