1 of 22

Urban Ocean

Marine Litter Assessment

5/7/2024

2 of 22

Shreya

Trevor

Stephanie

Tianxiao

Xiaofan

Team

PM + App

Github + Report

Model + Report

Model

App

3 of 22

11 million

tons of plastic end up in the ocean annually

60%

of examined fish digested microplastic

Marine plastics by the Numbers

Trash needs to be manually removed to when it enters the ocean

4 of 22

Cities are one of the primary sources of this accumulation

Wind and water carry urban trash to oceans

Urban Litter to Marine Trash

Illegal dumping, lack of sanitation infrastructure, single-use plastic

5 of 22

Project Director: Daniel Padilla Ochoa

Director, International Plastics Program - Ocean Conservancy: Edith Checchini

University. of Georgia: Prof. Jenna Jambeck, Ph.D.

Practicum Professors:

Michael Fichman and Matthew Harris

Project Partners

6 of 22

  • Mobilize cleanup campaigns

  • City-by-City research on sanitation systems and trash-situation

  • Consult with stakeholders directly to create alternative solutions for current needs

Zero Waste Pilots

7 of 22

Urban Ocean workflow challenges

Our intervention

Why Us?

8 of 22

A web-based dashboard with litter data metrics, demographic metrics, and a litter accumulation risk site-selection tool serving the 12 urban ocean cities in siting zero-waste pilots.

Use Case

9 of 22

Manually collected dataset- scarce

Mostly plastics related

Understanding the Litter Dataset

10 of 22

Data: unbalanced across cities

Road blocks…such as

Standardized data across cities missing

Needing international data sources (OSM) and Meta

The Data Problem

Non-uniform global datasets

Minimal data samples

Sampling bias of litter

(Open Street Map)

11 of 22

Sample City

Overlay

500m fishnet grid

Litter distribution

>

>

>

Fishnet Grid Methodology

12 of 22

Target Variables

13 of 22

Retail Zoning

Water

Restaurant

Feature Engineering: Count

14 of 22

Retail Zoning

Water

Restaurant

K Nearest Neighbor

15 of 22

Model Methodology

16 of 22

Model 1

(Linear Regression)

Model 2

(Random Forest)

Landing on the best Model

Final Model

(Mixed 60-40)

17 of 22

Predicted Values vs Actual Values

Histogram of Residuals

Model Results

18 of 22

19 of 22

5

3

1

Risk Factor on the ground

Source: Shreya Bansal

Source: Google Street view

Source: Google Street view

20 of 22

Connection to Use Case

21 of 22

Let’s dive into the marine litter assessment dashboard

22 of 22

References

  • Project Director: Daniel Padilla Ochoa
  • Director, International Plastics Program - Ocean Conservancy: Edith Checchini
  • University. of Georgia: Prof. Jenna Jambeck, Ph.D.