Remediation of Heavy Metal Pollution from Coal Mine Effluent Using Metal-Organic Frameworks (MOF): Impact of Water Media, Operational Factors and Metal Characteristics DOI Open Access
Guangxu Bi, Xiangyu Li,

Xiaochong Du

et al.

Minerals, Journal Year: 2024, Volume and Issue: 14(8), P. 764 - 764

Published: July 27, 2024

The energy sector is the that generates highest amount of environmental contamination, especially in water sources, mostly case coal-based production. aim this study was to examine a significant contamination source, heavy metal coal mining effluents. current investigation introduces an MOF platform based on zirconium clusters and isophthalic acid with NH2-MIP-SO3H mixed amine sulfonic functional groups order remove most common ions effluents, including Hg, Cd, Pb, Cu ions. matrix operational conditions were identified be very influential removal process, such as pH water, initial concentration operating time. offers great efficiency metals starting from 745.83 mg/g for 673.67 Cu, 589.85 481.66 Pb ions, Langmuir equation equilibrium pseudo-second-order kinetics being ideal models express kinetic data, respectively. A impact found occur, performing best at 6. Reuse demonstrates excellent reusability, sustaining 90% performance over eight regeneration cycles. interaction group-functional dominant mechanism process. unique approach provides hopeful outlook additional investigations larger-scale studies.

Language: Английский

The Influence of Textile Type, Textile Weight, and Detergent Dosage on Microfiber Emissions from Top-Loading Washing Machines DOI Creative Commons
Pongsiri Julapong,

Palot Srichonphaisarn,

Thidarat Meekoch

et al.

Toxics, Journal Year: 2024, Volume and Issue: 12(3), P. 210 - 210

Published: March 12, 2024

The use of washing machines to wash textiles gradually breaks down synthetic fibers like polyethylene terephthalate (PET) or polyester (PES) in diverse clothing materials, a process that is growing notoriety because it generates microplastics (MPs). In this study, we investigated the emission microfibers, including both microplastic (MPFs) and natural (MFs), from top-loading machines. Our investigation focused on four popular with prevalent weave structures (plain, satin, twill): (i) PES, (ii) tetron cotton (TC), (iii) chief value (CVC), (iv) (CO) fabrics. This study also examined effects textile weight detergent dosage MF emissions. After washing, MFs were collected through filtration, their concentrations determined using micro-Fourier Transform Interferometry (μFTIR). results showed varying effluent depending type textile. Specifically, CVC exhibited highest at 4022 particles/L, followed by TC, CO 2844 2382 2279 respectively. hydrophobic nature PES makes prone rapid degradation detergent-rich environments, leading high Additionally, mechanical properties textiles, such as tensile bending strengths, may play crucial role generation Textiles made twill weaves demonstrated superior strength correlated lower emissions MFs. comparison, satin properties, which could explain Finally, composed are plain weaved, be attributed intermediate compared those CO.

Language: Английский

Citations

15
A review of passive acid mine drainage treatment by PRB and LPB: From design, testing, to construction DOI
Yu Wang, Chunrong Wang,

Rongfei Feng

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 251, P. 118545 - 118545

Published: Feb. 29, 2024

Language: Английский

Citations

4
Innovative Pathways to Sustainable Energy: Advancements in Clean Coal Technologies in Bangladesh - A review DOI Creative Commons
Faysal Ahamed Akash, Shaik Muntasir Shovon, Md. Abdur Rahman

et al.

Cleaner Engineering and Technology, Journal Year: 2024, Volume and Issue: 22, P. 100805 - 100805

Published: Sept. 4, 2024

Language: Английский

Citations

3
Unveiling the heterogeneity of environmental impacts of China's coal washing plants by a configuration-specific life cycle assessment DOI
Jie Zhang, Junjie Li,

Yirong Wang

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 110, P. 107725 - 107725

Published: Nov. 17, 2024

Language: Английский

Citations

3
Study on the Influence of Particle Size Distribution on the Separation of Pyrite from Coal Gangue by Jigging DOI Open Access
Xinkai Hou, Zhentong Xi,

Xiangfeng Wang

et al.

Coatings, Journal Year: 2024, Volume and Issue: 14(5), P. 610 - 610

Published: May 11, 2024

The presence of pyrite poses a significant impediment to the comprehensive utilization coal gangue, which is prevalent solid waste in industrial production. However, current efficacy jig separation for fine-grade gangue remains unsatisfactory. To investigate influence particle size distribution on raw material was crushed less than 2 mm using jaw crusher and subsequently sieved obtain its curve. Upon fitting curve, it observed that tends towards Rosin-Rammler (RRSB) Fuller distributions. Leveraging these two-parameter curves, adjustments were made determine mass within each range before conducting thorough mixing followed by separation. results indicate particles smaller mm, RRSB with uniformity coefficient n = 0.85 exhibits most effective separation, although comparable achieved ore. On other hand, employing modulus q 1.5 yields superior performance. In comparison ore, concentrate shows an increase sulfur (S) iron (Fe) content factors 3.4 2.4, respectively. Furthermore, compared distribution, there S Fe 1.91% 2.30%, respectively; contents tailings 0.71% 2.72%, can be directly used as materials coating materials. Therefore, particles, jigging under demonstrates better effectiveness distribution.

Language: Английский

Citations

2
Research on prediction of coal water medium separation effect based on multi-models DOI Creative Commons
Peng Chen, Chengyong Wang, Shiwei Wang

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(10), P. e31038 - e31038

Published: May 1, 2024

To improve the separation efficiency of raw coal and ensure clean use, accurate calculation partition coefficients (PCs) in water medium sorting is required. Single models have been used to predict coefficient (PC) for decades, but their accuracy remains constrained. This study proposes a multi-model (MM) method based on Gompertz model (GM), Logistic (LM), Arctangent (AM), Approximate formula (AFM) predicted PCs. Four groups samples two specific cases were verify MM method. The PCs had minimal Ef (0.91-8.84), maximal R2 (0.9648-0.9994), F-value (199.17-11352.31), highest significance all models. was found be most suitable predicting any process. Further, when calculating PC cleaned ash, density closer actual than that either GM, LM, AM, or AFM method, therefore, produces more results compared single model. expected required then regulate production efficiency.

Language: Английский

Citations

1
Deep recovery of clean coal from coking middlings: Pre-separation in liquid-solid fluidized bed and subsequent flotation DOI
Bo Lv, Wen Fan,

Yutong Jiao

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

1
Arsenic removal from coal by ferric chloride enhanced leaching under ultraviolet irradiation during flue gas desulphurization with coal slurry DOI
Jintong Li, Linlin Tao, Wenshou Sun

et al.

Environmental Technology, Journal Year: 2023, Volume and Issue: 45(24), P. 5004 - 5015

Published: Dec. 29, 2023

During coal combustion, the harmful element arsenic can be released into environment and cause potential significant harm to human beings. Therefore, it is very important study removal of from before combustion. In this work, simulated SO2-containing flue gas was used leach in a 1 L UV photoreactor. The effects FeCl3, ultraviolet (UV), pH Cl−/Fe3+ molar ratio on leaching SO2 were experimentally investigated enhancing mechanism analysed. Experimental results demonstrated that FeCl3 could efficiently increase iron percentages efficiency. irradiation induce oxidation most trivalent arsenic. percentage significantly larger than iron. Low favourable for leaching. optimal determined 3:1. introduced ferric chloride not only concentrations free radicals oxidants, ion might also impede formation passive coatings, thus increasing percentage, intensifying SO2.

Language: Английский

Citations

1
Remediation of Heavy Metal Pollution from Coal Mine Effluent Using Metal-Organic Frameworks (MOF): Impact of Water Media, Operational Factors and Metal Characteristics DOI Open Access
Guangxu Bi, Xiangyu Li,

Xiaochong Du

et al.

Minerals, Journal Year: 2024, Volume and Issue: 14(8), P. 764 - 764

Published: July 27, 2024

The energy sector is the that generates highest amount of environmental contamination, especially in water sources, mostly case coal-based production. aim this study was to examine a significant contamination source, heavy metal coal mining effluents. current investigation introduces an MOF platform based on zirconium clusters and isophthalic acid with NH2-MIP-SO3H mixed amine sulfonic functional groups order remove most common ions effluents, including Hg, Cd, Pb, Cu ions. matrix operational conditions were identified be very influential removal process, such as pH water, initial concentration operating time. offers great efficiency metals starting from 745.83 mg/g for 673.67 Cu, 589.85 481.66 Pb ions, Langmuir equation equilibrium pseudo-second-order kinetics being ideal models express kinetic data, respectively. A impact found occur, performing best at 6. Reuse demonstrates excellent reusability, sustaining 90% performance over eight regeneration cycles. interaction group-functional dominant mechanism process. unique approach provides hopeful outlook additional investigations larger-scale studies.

Language: Английский

Citations

0