Literature DB >> 31855673

A nationwide assessment of litter on China's beaches using citizen science data.

Hongzhe Chen1, Sumin Wang2, Huige Guo3, Hui Lin4, Yuanbiao Zhang5.   

Abstract

China is the largest plastic consumer in the world. Despite its plastic waste import ban in 2017, this populous economy inevitably generates a large amount of waste, including plastic waste, a considerable part of which has become marine litter. Data from the 2018 National Coastal Cleanup and Monitoring Project, the largest beach litter monitoring activities using the citizen science approach in China, have been retrieved and analyzed to understand spatial patterns, composition, and original usage of marine litter. Within this project, 24 beaches were surveyed every two months. As a result, the mean density was 3.85 ± 5.39 items m-2, much higher than that reported by previous studies in China. There were great differences in the spatial distribution of litter. The highest densities appeared in the runoff-affected area of the Yangtze River, which was another difference from previous studies. Low-density, easy-to-transport foamed plastics were the major contributor to marine litter in these areas. Along China's coast, approximately 90% of litter was from land-based sources, and over half of that originated from domestic sources. Including foamed plastic products, plastic litter with low recycling value dominated. Both natural and human factors influencing the spatiotemporal distribution and composition of litter are discussed. Socioeconomic factors, such as the lifestyle and consumption levels of citizens and local waste management systems, are possible explanations for the low-value characteristic of marine litter. The deviation between previous data and citizen science data in this study may be caused by many factors. Based on the discussion on these factors, some suggestions for citizen science research in China are also put forward.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Keywords:  Beach litter; China’s coastline; Citizen science; Clean coast index; Plastic pollution

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Year:  2019        PMID: 31855673     DOI: 10.1016/j.envpol.2019.113756

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  1 in total

1.  Virtual Methodology for Household Waste Characterization During The Pandemic in An Urban District of Peru: Citizen Science for Waste Management.

Authors:  Norvin Requena-Sanchez; Dalia Carbonel-Ramos; Stephan Moonsammy; Robert Klaus; Leoncio Sicha Punil; Kelvin Tsun Wai Ng
Journal:  Environ Manage       Date:  2022-02-22       Impact factor: 3.644

  1 in total

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