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Data Analysis on Factors Influencing Oceanic Plastic Pollution
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A data analysis study examined the factors influencing oceanic plastic pollution, including population density, GDP, waste management infrastructure, and coastal proximity. The analysis identified waste mismanagement in high-population coastal regions as the primary driver of marine plastic input, contributing to the deaths of millions of marine animals annually.
Oceanic pollution is a serious environmental problem that threatens the lives of marine life nowadays. One of the main reasons is that marine life accidentally eats the litter that falls into the ocean. Other pollutants included microplastics, discarded chemicals, animal carcasses, etc. According to statistics, millions of animals die annually from accidentally eating plastic. This catastrophe is caused by the higher use of plastics due to the convenience it brings to people. However, they are often thrown away after a single use, and the plastic waste ends up in the ocean due to improper disposal. Therefore, the main aim of this paper is to understand the incident of oceanic pollution based on some mismanaged plastic (MMP) waste variables. The data analytic method is used to understand the relationships among MMP variables. Visualizations of the analysis results, such as linear scatter plots and some analysis tables, provide valuable insights into ocean pollution based on MMP waste variables. This study helps develop informed policies for practical oceanic plastic pollution mitigation efforts. To address ocean pollution effectively, we must develop sustainable practices that enhance the health of our seas. Global organizations must also take strong measures to combat the increasing threat of plastic pollution. By implementing targeted action plans, we can protect marine ecosystems and ensure a cleaner future for our oceans.
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