See the Ocean Debris Combined Data Map Here "Plastic debris in the open ocean." Proceedings of the National Academy of Sciences, 111 10239-10244. Plastic marine debris data (mass of particles g per km2) collected with a plankton net with 200 micron meshĬózar, A., F. See the Trash Heatmap Map Here Combining Different Datasets with the Ocean Clean Up Dataset See the Time-Lapse Map Here Collected Trash in Pounds Heatmap
Volunteering hours on average person/year in the USA: 32.1 ( Average Volunteering Hours). Cost/Value of a volunteer: $ 25.43 ( Value of Volunteer). Plastic bags and plastic bottles – CO2 emissionsĭevastating Effects of Plastic Bags on Marine Life Plastic water bottles, food wrappers, and grocery bags are some of the most common pollutants covering the shorelines. In fact, much of the trash found in the oceans originated from such stores. With almost 20 million pieces of trash being collected, this is enough items to fill 489 fully-stocked grocery stores. This means that volunteers have essentially traversed the Earth twice collecting trash. For context, the circumference of the Earth is 24,901 miles. The recorded cleanup operations have covered 54,000 miles of shoreline. At this rate the cleanup effort would need to be multiplied by a factor of 3500 to keep up. This statistic sounds impressive until you realize that the experts estimate that 14 billion pounds of trash is dumped into the oceans every year. All this trash has been picked up, bagged, and removed from bodies of water. This equates to the weight of about 3600 midsize sedans. Even landlocked states have participated by cleaning up rivers and other localized bodies of water.Īlmost 12 million pounds of trash have been removed through this effort. Some level of cleanup has been attempted and recorded in all 50 states. The coastline cleanup effort has some momentum behind it as shown by the high participation rates. Our project attempts to show the current state of the cleanup effort and some possible ways to optimize the process in the future. If we hope to sustain the world’s largest resource, action must be taken. Whether it is a sea turtle with 6 pack rings as a necklace or a beach goer stepping on discarded glass, the effects of ocean pollution are readily apparent. For this task, we trained a machine learning model to predict the likeliest trash content for a certain location on a given date. We also wanted to know which areas are prone to which types of trash. This data was interpolated with the original dataset. To further our understanding, the group looked at other datasets such as estimated concentrations of plastic in the oceans and area-specific environmental conditions. This process gave us an idea of what type of trash and which areas were most problematic. ISCHOOL UMD SERIES
To get a good idea of our data, we broke it down graphically including time series plots of participation, correlations between different data points, comparisons of trash frequency, etc.
Our main tool for the task was Python and the many data processing libraries that come with it. Grouped by date, each record could be examined for location, trash content, number of people involved, and much more. There are approximately 38,000 recorded cleanup operations. The given dataset was collected from an app that allowed people to self-report cleanup projects. Our project attempts to analyze the Booz Allen Hamilton Ocean Cleanup data in order to assess cleanup activity, optimize the effort, and possibly predict future cleanup needs. The oceans are humanity’s greatest resource and they are hurting.
This is an easily forgettable truth for many individuals whose most frequent encounter with oceans comes through a desktop wallpaper. UMD Data Challange 2020 - Ocean Clean Up Winning Categoriesħ1% of the Earth’s surface is covered by oceans.
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