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中国典型海滩垃圾组成和时空变化特征
引用本文:潘永珩,高郭平,张春玲,曹胜凯,徐红印. 中国典型海滩垃圾组成和时空变化特征[J]. 海洋湖沼通报, 2021, 0(1): 142-148
作者姓名:潘永珩  高郭平  张春玲  曹胜凯  徐红印
作者单位:上海海洋大学海洋科学学院;上海海洋大学大洋渔业资源可持续开发省部共建教育部重点实验室
基金项目:上海市教委重点支撑项目-典型海域海-气CO2通量分析系统研制及应用示范(13230502000)资助。
摘    要:
21世纪被称为"海洋世纪",但由于人类复杂的生产活动,大量的垃圾正有意或无意的被投放入海洋环境中,这将导致全球范围内近岸污染,包括生态环境恶化,生物资源锐减等问题。本研究以天津高沙岭、上海南汇嘴和深圳大铲湾三地的海滩为研究区域,通过对三个海滩垃圾的种类、时空特征及相关性进行统计分析,以期了解中国近海不同海滩的海滩垃圾分布特征,为我国海洋垃圾监测和调查、监督和管理等起到一定的指导作用。结果显示,海滩垃圾不同种类间数量差异较大,三年间垃圾数量大体呈逐年增加的趋势,且不同的海滩,垃圾数量和种类都存在明显差异。

关 键 词:海滩垃圾  组成成分  时空变化  差异性

The composition and spatiotemporal variation of typical marine debris in China
PAN Yongheng,GAO Guoping,ZHANG Chunling,CAO Shengkai,XU Hongyin. The composition and spatiotemporal variation of typical marine debris in China[J]. Transaction of Oceanology and Limnology, 2021, 0(1): 142-148
Authors:PAN Yongheng  GAO Guoping  ZHANG Chunling  CAO Shengkai  XU Hongyin
Affiliation:(College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China;Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources,Ministry of Education,Shanghai Ocean University,Shanghai 201306,China)
Abstract:
The 21st century is known as the"ocean century".Due to the complex human production activities,a large number of debris is being intentionally or unintentionally put into marine environment,which leads to global coastal pollution,including the deterioration of the ecological environment,biological resources decline and other problems.This study takes Gaoshaling in Tianjin,Nanhui Zui in Shanghai and Dachanwan in Shenzhen as target areas,analyzes the three beach debris characteristics and statistical correlation of time and space,in order to understand China coastal beach debris distribution characteristics and help for our country marine debris monitoring and investigation supervision and management.The results show that the amount of beach debris varies greatly among different types,the number is increasing year by year,and there is significant difference in the space.
Keywords:Beach debris  Component  Spatiotemporal variation  Difference
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