Following the alarming reports of microplastic pollution in the marine environment, increased attention has been given to microplastics in other environmental media. Despite the attention, there is limited research available on the depth-distribution of microplastics in freshwater. Specifically, in the case of water sources used for drinking or tap, the height of intake facilities varies, and it is highly likely that there is a correlation between the vertical distribution of microplastics and these water intake structures. Further, because the size of microplastics varies widely in the environment, the commonly used sampling devices are not suitable for selectively extracting microplastics without causing cross-contamination. Thus, we developed a suitable device for microplastics of size 5-20 µm and studied microplastic distribution in freshwater at various depths by considering various types of microplastics and aqueous systems. Lake and river, two major water sources, were selected for the study of microplastics distribution in water system. The microplastic distribution characteristics in both water systems showed that polypropylene and polyethylene were the most abundant across all depths because of their production volume. Plastic types with higher density were found only at the lower layers, and polystyrene was found in the upper layers because of the environmental effects on its buoyancy caused pore diameter and surface area. The lake and river had higher microplastic distribution in the lower layer and upper layer, respectively. This was because the flow rate in river was higher than that of lake. The higher flow rate reduced the settling velocity in river. Thus, hydrodynamic stability influences the vertical distribution and concentrations of microplastics in the water systems. These results are expected to be used for understanding the behavioral characteristics of microplastics in water systems and to manage water sources.
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http://dx.doi.org/10.1007/s11356-023-29409-5 | DOI Listing |
Sci Rep
January 2025
School of Mines, China University of Mining and Technology, No.1 Daxue Rd, Xuzhou, 221116, China.
Pillar stability has garnered significant attention owing to the effects of pillars on coal resource recovery rate, coal pillar stability, and coal bump risk. This study examined the roadway stability control principles of conventional and yield coal pillars. The conventional coal pillars were designed as load-bearing structures with a high load-bearing capacity to carry most of the abutment load, while yield coal pillars were designed as buffer structures for transferring rapidly increasing abutment loads to adjacent solid coal ribs by progressive deformation.
View Article and Find Full Text PDFJ Transl Autoimmun
June 2025
Department of Dermatology, University Medical Center Regensburg, 93042, Regensburg, Germany.
Cutaneous (CLE) and systemic lupus erythematosus (SLE) are autoimmune diseases with a multifactorial pathogenesis. Ultraviolet radiation (UVR) is the most important trigger of CLE; however, the degree of photosensitivity varies between the clinical subtypes. The expression of matrix metalloproteinases (MMPs)-important enzymes involved in skin turnover and homeostasis-is modulated by UVR.
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January 2025
Institute of Environmental Physics, Heidelberg University, Im Neuenheimer Feld 229, 69120, Heidelberg, Germany.
The deep Southern Ocean (SO) circulation plays a key role in the storage and release of CO in Earth's climate system. The uptake and release of CO strongly depend on the redistribution of well and poorly ventilated deep ocean water masses. Recently, evidence was found for possible stronger Pacific deep water overturning and subsequent intrusion into the SO during periods of reduced AMOC.
View Article and Find Full Text PDFSci Data
January 2025
Division of Life Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea.
Permafrost soils store vast amounts of organic carbon, and their thawing due to climate warming accelerates the release of carbon as methane and carbon dioxide, exacerbating global climate change. Understanding the distribution of greenhouse gases trapped in these soils and predicting their behavior upon thawing is essential for accurately modeling climate feedbacks. This study presents an integrated biogeochemical and microbial dataset from ~1.
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January 2025
Geology and Sustainable Mining Institute (GSMI), Mohammed VI Polytechnic University, Ben Guerir, Morocco.
Accurate statistical modeling of wind speed variability is crucial for assessing wind energy potential, particularly in regions with low wind speeds and significant calm hours. This study evaluates the Champernowne distribution as a novel model for wind speed analysis, comparing its performance with the two-parameter Weibull, three-parameter Weibull, and Rayleigh-Rice distributions. Wind speed data at 10 m hub height over three years (2021-2023) from Ben Guerir, Morocco, were analyzed using statistical metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Bias Error (MBE), Coefficient of Determination (R2), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC).
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