Perumal Karthikeyan, Muthuramalingam Subagunasekar, Chellaiyan Stella
School of Marine Sciences, Department of Oceanography and Coastal Area Studies, Alagappa University, Karaikudi 630 003, Tamil Nadu, India.
Centre for Geoinformatics, School of Health Sciences & Rural Development, The Gandhigram Rural Institute, Dindigul 624 302, Tamil Nadu, India.
Mar Pollut Bull. 2023 Jan;186:114443. doi: 10.1016/j.marpolbul.2022.114443. Epub 2022 Dec 7.
The problem of marine litter is increasing along the Indian coast. For conducting a baseline study to identify and assess the abundance, clean-coast index (CCI), and plastics abundance index (PAI) of marine litter were calculated on the beaches of Kanyakumari, Southern India. A total of 11,439 marine litter items were collected and classified into 33 groups along the 7 beaches of Kanyakumari. From the results, plastics were the most abundant items (65.08 %) followed by foam (21.93 %), along with cloths (4.59 %), rubber (3.09 %), papers (2.26 %), glass (2.16 %), metal (0.38 %), wood (0.26 %), and others (0.26 %). The average CCI value (27.24) indicates that all beaches are 'extremely dirty'; however, the PAI average value (4.37) indicates 'high abundance'. About 96.87 % of the marine litter originates from the land-based sources. This study provides an interpretive framework for further plastic pollution assessment, which could lead to a better marine litter management on Indian beaches.
印度沿海的海洋垃圾问题日益严重。为了开展一项基线研究以识别和评估海洋垃圾的数量、清洁海岸指数(CCI)以及塑料丰度指数(PAI),在印度南部的坎亚库马里海滩进行了相关计算。在坎亚库马里的7个海滩上,共收集了11439件海洋垃圾,并将其分为33类。结果显示,塑料是最常见的垃圾(65.08%),其次是泡沫(21.93%),还有布料(4.59%)、橡胶(3.09%)、纸张(2.26%)、玻璃(2.16%)、金属(0.38%)、木材(0.26%)以及其他(0.26%)。CCI的平均值(27.24)表明所有海滩“极其肮脏”;然而,PAI的平均值(4.37)表明“高丰度”。约96.87%的海洋垃圾源自陆地来源。这项研究为进一步的塑料污染评估提供了一个解释框架,有助于更好地管理印度海滩的海洋垃圾。