湛江港附近海域的海上垃圾的聚集点研究
Study on the Accumulation of Marine Garbage in the Sea Area near Zhanjiang Port
DOI: 10.12677/AEP.2020.106098, PDF,    科研立项经费支持
作者: 刘凯璐, 黄志明, 仇国轩, 王精东:广东海洋大学数学与计算机学院,广东 湛江
关键词: 集聚点模型湛江湾聚集中心预估Aggregation Point Model Zhanjiang Bay Cluster Center Estimation
摘要: 海洋环境治理是一个值得深入研究的方向,随着社会经济的飞速发展,工业垃圾和生活垃圾也越来越多,由于垃圾从沿岸地区向海洋深处渗透,导致了海洋生态环境遭到了破坏。为了处理这些海洋垃圾,国家相关部门需要投入较大的成本进行处理,如何高效地对海上垃圾进行清理、回收,就成了一个亟待解决的问题。本文以东海岛为例,进行了湛江湾近海垃圾聚集点的预估:根据沿岸水流对垃圾的运输作用、水流交汇点计算建立垃圾集聚点模型,通过模拟计算得出垃圾分布点;然后建立了基于水流与海岸距离的权重模型,为每个垃圾集聚点赋予合理的权重;再通过带权重的K-Means聚类分析预估垃圾聚集中心,此结果可以为相关部门提供垃圾集聚中心位置,方便对海面的垃圾处理,为当地的海洋环境保护提供一个良好的参考。
Abstract: Marine environmental governance is a direction worthy of in-depth study. With the rapid devel-opment of social economy, there are more and more industrial wastes and domestic wastes. As garbage seeps from coastal areas to the deep sea, the marine ecological environment has been damaged. In order to deal with these marine wastes, the relevant departments in our country need to invest a large amount of cost to deal with them. How to clean up and recycle marine wastes effi-ciently has become an urgent problem to be solved. In this paper, taking the East Island as an ex-ample, the prediction of waste accumulation points in Zhanjiang Bay is carried out: according to the transport effect of coastal current on garbage and the calculation of flow intersection point, the garbage collection point model is established, and the garbage distribution point is obtained through simulation calculation; then, a weight model based on the distance between current and coast is established to give reasonable weight to each garbage collection point; and then, the weighted K-means clustering analysis is used to estimate the garbage concentration center. The results can provide the relevant departments with the location of the garbage collection center, facilitate the garbage disposal on the sea surface, and provide a good reference for the local marine environmental protection.
文章引用:刘凯璐, 黄志明, 仇国轩, 王精东. 湛江港附近海域的海上垃圾的聚集点研究[J]. 环境保护前沿, 2020, 10(6): 813-819. https://doi.org/10.12677/AEP.2020.106098

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