Chemical Engineering Science, Journal Year: 2024, Volume and Issue: unknown, P. 121147 - 121147
Published: Dec. 1, 2024
Language: Английский
Chemical Engineering Science, Journal Year: 2024, Volume and Issue: unknown, P. 121147 - 121147
Published: Dec. 1, 2024
Language: Английский
Earth system science data, Journal Year: 2025, Volume and Issue: 17(1), P. 165 - 179
Published: Jan. 20, 2025
Abstract. Seafloor topography, as a fundamental marine spatial geographic information, plays vital role in observation and science research. With the growing demand for high-precision bathymetric models, multi-layer perceptron (MLP) neural network is used to integrate multi-source geodetic data this paper. A new model of global ocean, spanning 180° E–180° W 80° S–80° N, known Shandong University Science Technology 2023 Bathymetric Chart Oceans (SDUST2023BCO), has been constructed, with grid size 1′ × 1′. The include gravity anomaly released by Technology, vertical gradient deflection Scripps Institution Oceanography (SIO), mean dynamic topography Centre National d'Etudes Spatiales (CNES). First, input output are organized from train MLP model. Second, at interesting points fed into obtain prediction bathymetry. Finally, resolution constructed area. validity reliability SDUST2023BCO evaluated comparing shipborne single-beam GEBCO_2023 topo_25.1 models. results demonstrate that accurate reliable, effectively capturing reflecting information. available https://doi.org/10.5281/zenodo.13341896 (Zhou et al., 2024).
Language: Английский
Citations
2Environmental Research, Journal Year: 2024, Volume and Issue: 262, P. 119812 - 119812
Published: Aug. 16, 2024
Language: Английский
Citations
13Nanomaterials, Journal Year: 2024, Volume and Issue: 14(12), P. 1060 - 1060
Published: June 20, 2024
In recent years, microplastics (MPs) have emerged as a significant environmental pollutant, garnering substantial attention for their migration and transformation behaviors in natural environments. MPs frequently infiltrate porous media such soil, sediment, rock through various pathways, posing potential threats to ecological systems human health. Consequently, the adsorption mechanisms applied been extensively studied. This paper aims elucidate of influencing factors systematic review. The review encompasses characteristics MPs, physical properties media, hydrodynamic factors. Additionally, further clarifies provide theoretical support understanding behavior fate. Furthermore, current mainstream detection techniques are reviewed, with an analysis advantages, disadvantages, applications each technique. Finally, identifies limitations shortcomings research envisions future directions.
Language: Английский
Citations
6Case Studies in Chemical and Environmental Engineering, Journal Year: 2024, Volume and Issue: 10, P. 100804 - 100804
Published: June 24, 2024
The significant impact of microplastics in the marine environment has sparked global concern. These tiny plastic particles travel from land to estuary through rivers, where they become intricately distributed within estuarine dynamics. spatial distribution debris and sedimentation is mainly influenced by dynamics estuary, posing a scientific challenge that demands immediate attention. main objective this study analyse microplastic contamination water samples collected Azhikkal Kannur, India, subsequent establishment seaport region, using home assembled micro-Raman spectrometer. This research sheds light on extensive prevalence detected vicinity estuary's entrance, with specific focus consequences construction surrounding region. Within surveyed considerable quantity 1260 1480 anthropogenic were identified. predominant varieties observed particular area consist polystyrene (38%), polysulfone (5%), polypropylene (1%), polyethylene terephthalate (1%). discovered region consisted fragments (82%) fibers (15%), varying sizes 10 100 μm (36%), resulting higher surface volume ratio. existence red blue pigments, such as copper phthalocyanine indigo blue, pollution causing alarm over potential harmful organisms rely these ecosystems. identification pigments aquatic environments across entire nation not been adequately pursued. Additionally, delves into spread murky setting, considering sea wind alterations buoyancy following formation biofilm their surface. leads acquiring hydrophilic characteristics turbid environment.
Language: Английский
Citations
6Published: Aug. 28, 2024
Abstract. Seafloor topography, as a fundamental marine spatial geographic information, plays vital role in observation and science research. With the growing demand for high-precision bathymetric models, Multi-layer Perceptron (MLP) neural network is used to integrate multi-source geodetic data this paper. A new model of global ocean, spanning 0°–360° E 80° S–80° N, has been constructed, known Shandong University Science Technology 2023 Bathymetric Chart Oceans (SDUST2023BCO), with grid size 1′×1′. The differential include gravity anomaly released by Technology, vertical gradient deflection Scripps Institution Oceanography, well mean dynamic topography Centre National d’Etudes Spatiales. First, input output are organized from train MLP model. Second, at interesting points fed into obtain prediction bathymetry points. Finally, resolution 1′×1′ constructed area. accuracy evaluated comparing single-beam shipborne data, GEBCO_2023 topo_25.1 models. results demonstrate that SDUST2023BCO accurate reliable, effectively capturing reflecting ocean information. available https://doi.org/10.5281/zenodo.13341896 (Zhou et al., 2024).
Language: Английский
Citations
4The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 958, P. 178015 - 178015
Published: Dec. 14, 2024
Language: Английский
Citations
4Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 373, P. 123897 - 123897
Published: Jan. 1, 2025
Current industrial separation and sorting technologies struggle to efficiently identify classify a large part of Waste Electric Electronic Equipment (WEEE) plastics due their high content certain additives. In this study, Raman spectroscopy in combination with machine learning methods was assessed develop classification models that could improve the identification Polystyrene (PS), Acrylonitrile Butadiene Styrene (ABS), Polycarbonate (PC) blend PC/ABS contained WEEE streams, including black plastics, increase recycling rate, enhance circularity. spectral analysis carried out two lasers different excitation wavelengths (785 nm 1064 nm) varying setting parameters (laser power, integration time, focus distance) aim at reducing fluorescence. data were used train test Discriminant Analysis (DA) Support Vector Machine (SVM) algorithms an iterative procedure assess performance identifying classifying real plastics. settings optimized considering industry requirements, such as process productivity (classification short measuring time for fast identification) product quality (purity sorted polymers). Classification trained, first approach, only on target plastics; second all polymers expected stream, leading realistic overview potential scalability advanced limitations. The best models, based DA obtained laser 500 mW 1.0 s, led PS ABS purity up 80 %.
Language: Английский
Citations
0Regional Studies in Marine Science, Journal Year: 2025, Volume and Issue: unknown, P. 104015 - 104015
Published: Jan. 1, 2025
Language: Английский
Citations
0Current Plant Biology, Journal Year: 2025, Volume and Issue: 42, P. 100458 - 100458
Published: Feb. 5, 2025
Language: Английский
Citations
0Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 213, P. 117665 - 117665
Published: Feb. 17, 2025
Language: Английский
Citations
0