An increasing amount of anthropogenic marine debris is pervading the earth's environmental systems, resulting in an enormous threat to living organisms. Additionally, the large amount of marine debris around the world has been investigated mostly through tedious manual methods. Therefore, we propose the use of a new technique, light detection and ranging (LIDAR), for the semi-automatic recognition of marine debris on a beach because of its substantially more efficient role in comparison with other more laborious methods. Our results revealed that LIDAR should be used for the classification of marine debris into plastic, paper, cloth and metal. Additionally, we reconstructed a 3-dimensional model of different types of debris on a beach with a high validity of debris revivification using LIDAR-based individual separation. These findings demonstrate that the availability of this new technique enables detailed observations to be made of debris on a large beach that was previously not possible. It is strongly suggested that LIDAR could be implemented as an appropriate monitoring tool for marine debris by global researchers and governments.
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http://dx.doi.org/10.1038/srep25759 | DOI Listing |
Sci Rep
January 2025
Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
With the global population surpassing 8 billion, waste production has skyrocketed, leading to increased pollution that adversely affects both terrestrial and marine ecosystems. Public littering, a significant contributor to this pollution, poses severe threats to marine life due to plastic debris, which can inflict substantial ecological harm. Additionally, this pollution jeopardizes human health through contaminated food and water sources.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Tianjin Key Laboratory of Environmental Technology for Complex Trans-Media Pollution, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
Wastewater treatment plants (WWTPs) are significant sources of microplastic (MP) emissions. In order to quantify the potential MP emission from WWTPs, a database of more than 10,000 WWTPs in China with an estimated MP emission rate was built. The MP riverine retention after emission was also estimated based on Stokes' law for both fragments and fibers.
View Article and Find Full Text PDFEnviron Res
January 2025
Hydrology and Environmental Hydraulics Group, Wageningen University, Wageningen, Netherlands.
Concentrations of microplastics are both temporally and spatially variable in streamflow. Yet, an overwhelming number of published field studies do not target a range of flow conditions and fail to adequately capture particle transport within the full flow field. Since microplastic flux models rely on the representativeness of available data, current predictions of riverine exports contain substantial error.
View Article and Find Full Text PDFSci Total Environ
February 2025
School of Marine Sciences, Sun Yat-sen University, Zhuhai 519082, China. Electronic address:
This study comprehensively investigated the Cs signal in 294 sediment core samples from 132 lakes including reservoir and Gobi catchment in China. First, three Cs chrono-markers were observed: the 1963 peak corresponding to the maximum deposition of radioactive debris from global fallout, and two local sub-peaks corresponding to the time of the nuclear tests at Chinese Lop Nor site with a maximum in 1976, and to the Chernobyl accident in 1986. Second, the spatial distribution of sedimentation rates based on the 1963 Cs chrono-marker in Chinese lake sediment cores was studied.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia; AIMS@JCU, Division of Research and Innovation, James Cook University, Townsville, QLD 4811, Australia.
Biodegradation of microplastics facilitated by natural marine biofouling is a promising approach for ocean bioremediation. However, implementation requires a comprehensive understanding of how interactions between the marine microbiome and dominant microplastic debris types (e.g.
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