{"title":"选定的非洲跨境湖泊和大裂谷湖泊中的人为垃圾污染","authors":"Eric Okuku, Maureen Mokeira Kombo, Catherine Sezi Mwalugha, Mary Mbuche Chiphatsi, Kenneth Otieno, Purity Chepkemboi, Gilbert Omondi Owato, Chrispine Odhiambo Otieno","doi":"10.1016/j.jglr.2024.102382","DOIUrl":null,"url":null,"abstract":"<div><div><span>Litter pollution is a growing problem affecting almost all the world’s oceans, lakes, and rivers. Comprehensive beach and floating litter surveys were carried out in select African Great Lakes (Lake Victoria and Lake Turkana) and two Great Rift Valley lakes (Lake Naivasha and Lake Baringo) using the standing stock method to determine the abundance, composition, distribution and potential sources of plastic litter. A total of 11,977 macrolitter items were collected, translating to a mean density of 2.890 ± 1.90 items/m</span><sup>2</sup>. Lake Naivasha had the most polluted beaches with a mean macrolitter density of 3.707 ± 1.975 items/m<sup>2</sup> followed by Lake Victoria (3.375 ± 1.825 items/m<sup>2</sup>), Lake Baringo (2.156 ± 1.324 items/m<sup>2</sup>) and Lake Turkana (1.732 ± 2.276 items/m<sup>2</sup>). Plastic was the most dominant litter category (2.269 ± 1.503 items/m<sup>2</sup>, 78.9 %), with LDPE being the most abundant type of packaging (69.5 %). Of all the litter items collected, 23.7 % had visible branding. Of the branded items, 97 % originated from local manufacturers, with food product packaging accounting for a majority (71.6 %) of the branded items. The mean density of mesolitter items on beaches was higher in Lake Victoria (53.48 ± 41.32 items/m<sup>2</sup>) compared to Lake Turkana (7.56 ± 5.85 items/m<sup>2</sup>) with glass being the most abundant litter category (70.5 %). A total of 125 litter items were retrieved during floating surveys translating to a mean density of 13,041 items/km<sup>2</sup><span>. The study concludes that litter pollution in these lakes is of local origin and recommends enforcement of extended producer responsibility to prevent litter leakage into the environment.</span></div></div>","PeriodicalId":54818,"journal":{"name":"Journal of Great Lakes Research","volume":"50 5","pages":"Article 102382"},"PeriodicalIF":2.4000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Anthropogenic litter pollution in selected African transboundary and Great Rift Valley lakes\",\"authors\":\"Eric Okuku, Maureen Mokeira Kombo, Catherine Sezi Mwalugha, Mary Mbuche Chiphatsi, Kenneth Otieno, Purity Chepkemboi, Gilbert Omondi Owato, Chrispine Odhiambo Otieno\",\"doi\":\"10.1016/j.jglr.2024.102382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><span>Litter pollution is a growing problem affecting almost all the world’s oceans, lakes, and rivers. Comprehensive beach and floating litter surveys were carried out in select African Great Lakes (Lake Victoria and Lake Turkana) and two Great Rift Valley lakes (Lake Naivasha and Lake Baringo) using the standing stock method to determine the abundance, composition, distribution and potential sources of plastic litter. A total of 11,977 macrolitter items were collected, translating to a mean density of 2.890 ± 1.90 items/m</span><sup>2</sup>. Lake Naivasha had the most polluted beaches with a mean macrolitter density of 3.707 ± 1.975 items/m<sup>2</sup> followed by Lake Victoria (3.375 ± 1.825 items/m<sup>2</sup>), Lake Baringo (2.156 ± 1.324 items/m<sup>2</sup>) and Lake Turkana (1.732 ± 2.276 items/m<sup>2</sup>). Plastic was the most dominant litter category (2.269 ± 1.503 items/m<sup>2</sup>, 78.9 %), with LDPE being the most abundant type of packaging (69.5 %). Of all the litter items collected, 23.7 % had visible branding. Of the branded items, 97 % originated from local manufacturers, with food product packaging accounting for a majority (71.6 %) of the branded items. The mean density of mesolitter items on beaches was higher in Lake Victoria (53.48 ± 41.32 items/m<sup>2</sup>) compared to Lake Turkana (7.56 ± 5.85 items/m<sup>2</sup>) with glass being the most abundant litter category (70.5 %). A total of 125 litter items were retrieved during floating surveys translating to a mean density of 13,041 items/km<sup>2</sup><span>. The study concludes that litter pollution in these lakes is of local origin and recommends enforcement of extended producer responsibility to prevent litter leakage into the environment.</span></div></div>\",\"PeriodicalId\":54818,\"journal\":{\"name\":\"Journal of Great Lakes Research\",\"volume\":\"50 5\",\"pages\":\"Article 102382\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Great Lakes Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0380133024001321\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Great Lakes Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0380133024001321","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Anthropogenic litter pollution in selected African transboundary and Great Rift Valley lakes
Litter pollution is a growing problem affecting almost all the world’s oceans, lakes, and rivers. Comprehensive beach and floating litter surveys were carried out in select African Great Lakes (Lake Victoria and Lake Turkana) and two Great Rift Valley lakes (Lake Naivasha and Lake Baringo) using the standing stock method to determine the abundance, composition, distribution and potential sources of plastic litter. A total of 11,977 macrolitter items were collected, translating to a mean density of 2.890 ± 1.90 items/m2. Lake Naivasha had the most polluted beaches with a mean macrolitter density of 3.707 ± 1.975 items/m2 followed by Lake Victoria (3.375 ± 1.825 items/m2), Lake Baringo (2.156 ± 1.324 items/m2) and Lake Turkana (1.732 ± 2.276 items/m2). Plastic was the most dominant litter category (2.269 ± 1.503 items/m2, 78.9 %), with LDPE being the most abundant type of packaging (69.5 %). Of all the litter items collected, 23.7 % had visible branding. Of the branded items, 97 % originated from local manufacturers, with food product packaging accounting for a majority (71.6 %) of the branded items. The mean density of mesolitter items on beaches was higher in Lake Victoria (53.48 ± 41.32 items/m2) compared to Lake Turkana (7.56 ± 5.85 items/m2) with glass being the most abundant litter category (70.5 %). A total of 125 litter items were retrieved during floating surveys translating to a mean density of 13,041 items/km2. The study concludes that litter pollution in these lakes is of local origin and recommends enforcement of extended producer responsibility to prevent litter leakage into the environment.
期刊介绍:
Published six times per year, the Journal of Great Lakes Research is multidisciplinary in its coverage, publishing manuscripts on a wide range of theoretical and applied topics in the natural science fields of biology, chemistry, physics, geology, as well as social sciences of the large lakes of the world and their watersheds. Large lakes generally are considered as those lakes which have a mean surface area of >500 km2 (see Herdendorf, C.E. 1982. Large lakes of the world. J. Great Lakes Res. 8:379-412, for examples), although smaller lakes may be considered, especially if they are very deep. We also welcome contributions on saline lakes and research on estuarine waters where the results have application to large lakes.