Exposure of farmed fish to petroleum hydrocarbon pollution and the recovery process: A simulation experiment with tiger puffer Takifugu rubripes DOI

Zhangbin Liao,

Xishuai Cui,

Xing Luo

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 913, P. 169743 - 169743

Published: Dec. 31, 2023

Language: Английский

Fabrication of graphene-rapped melamine sponge and its photothermal adsorption on viscous oil spill DOI
Huie Liu,

Zimei Lin,

Shi Guo

et al.

Journal of environmental chemical engineering, Journal Year: 2023, Volume and Issue: 11(6), P. 111335 - 111335

Published: Nov. 3, 2023

Language: Английский

Citations

6
Ultraviolet-induced fluorescence of oil spill recognition using a semi-supervised algorithm based on thickness and mixing proportion–emission matrices DOI Creative Commons
Bowen Gong, Hongji Zhang, Xiaodong Wang

et al.

Analytical Methods, Journal Year: 2023, Volume and Issue: 15(13), P. 1649 - 1660

Published: Jan. 1, 2023

In recent years, marine oil spill accidents have been occurring frequently during extraction and transportation, seriously damage the ecological balance. Accurate monitoring of spills plays a vital role in estimating volume, determination liability, clean-up. The that leaks into natural environments is not single type oil, but mixture various products, film thickness on sea surface uneven under influence wind waves. Increasing mixed dimension mix proportion has proposed to weaken effect detection environment fluorescence measurement results. To preserve relationships between data films with different thicknesses mixing proportions, three-dimensional spectral seawater were measured laboratory, producing thickness-fluorescence matrix proportion-fluorescence matrix. nonlinear variation spectra was investigated according lidar equation. This work pre-processes by sum normalization two-dimensional principal component analysis (2DPCA) uses dimensionality reduction results as two feature-point views. Then, semi-supervised classification collaborative training (co-training) K-nearest neighbors (KNN) decision tree (DT) used identify samples. show average overall accuracy this coupling model can reach 100%, which 20.49% higher than thickness-only view. Using unlabeled reduce cost acquisition, improve generalization ability, provide theoretical significance application prospects for discrimination spectrally similar species environments.

Language: Английский

Citations

5
Aluminum soap nanoparticles-lignin powder form phase-selective gelator as an efficient sorbent for oils/water separation DOI

Suwan Cui,

Bohao Qi, Hao Liu

et al.

Chemosphere, Journal Year: 2023, Volume and Issue: 340, P. 139803 - 139803

Published: Aug. 12, 2023

Language: Английский

Citations

5
Green surfactants for enhanced oil recovery: A review DOI

Nur Aqilah Kamaludin,

Nur Najwa Syuhada Suhaidi,

Norasyikin Ismail

et al.

Materials Today Proceedings, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 1, 2023

Language: Английский

Citations

5
Exposure of farmed fish to petroleum hydrocarbon pollution and the recovery process: A simulation experiment with tiger puffer Takifugu rubripes DOI

Zhangbin Liao,

Xishuai Cui,

Xing Luo

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 913, P. 169743 - 169743

Published: Dec. 31, 2023

Language: Английский

Citations

4