Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Water Res. 2024 May 1;254:121356. doi: 10.1016/j.watres.2024.121356. Epub 2024 Feb 21.
Microplastics are found in continental and oceanic waters worldwide, but their spatial distribution shows an intricate pattern. Their driving factors remain difficult to identify and widely discussed due to insufficient and unstandardized monitoring data. Here, based on in situ experiments and hundreds of river samples from the Qinghai-Tibet Plateau, we formulate a model to standardize aquatic microplastic measurements. The model was applied to existing data on a global scale. These data are standardized to a 20 µm mesh size, resulting in a new spatial distribution of aquatic microplastic densities, with average concentrations of 554.93 ± 1352.42 items/m in Europe, 2558.90 ± 4799.62 in North America and 1741.94 ± 3225.09 in Asia. Excessive contaminations (microplastic concentration > 10⁴ items/m) are in the Yangtze River, the Charleston Harbor Estuary, the Bodega Bay and the Winyah Bay. We show that, based on these standardized concentrations, new driving factors could be used to predict the global or regional microplastic distribution in continental waters, such as the Human Development Index with a correlation of 75.86% on a global scale, the nighttime lights with a correlation of 37.26 ± 0.30% in Europe and 39.02 ± 0.54% in Asia, and the Mismanagement Plastic Waste with a correlation of 61.21 ± 19.86% in North America. Mapping standardized concentrations of aquatic microplastics enables a better comparison of contamination levels between regions and reveals more accurate hotspots to better adapt remediation efforts and future plastic pollution scenarios.
微塑料遍布世界各地的大陆和海洋水域,但它们的空间分布呈现出复杂的模式。由于监测数据不足且不规范,其驱动因素仍然难以确定,并且存在广泛的讨论。在这里,我们基于青藏高原的现场实验和数百个河流样本,制定了一个标准化水生微塑料测量的模型。该模型应用于全球范围内的现有数据。这些数据被标准化到 20 µm 的网眼尺寸,从而得出水生微塑料密度的新的空间分布,欧洲的平均浓度为 554.93 ± 1352.42 个/ m,北美的平均浓度为 2558.90 ± 4799.62 个/ m,亚洲的平均浓度为 1741.94 ± 3225.09 个/ m。长江、查尔斯顿港河口、博迪加湾和温亚湾的污染过高(微塑料浓度> 10⁴ 个/ m)。我们表明,基于这些标准化浓度,可以使用新的驱动因素来预测大陆水域的全球或区域微塑料分布,例如人类发展指数,全球相关性为 75.86%,欧洲的夜间灯光相关性为 37.26 ± 0.30%,亚洲的相关性为 39.02 ± 0.54%,以及北美的管理不善的塑料垃圾,相关性为 61.21 ± 19.86%。绘制水生微塑料的标准化浓度图可以更好地比较不同地区的污染水平,并揭示更准确的热点,以更好地适应修复工作和未来的塑料污染情景。