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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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A Novel Method for Oil Spill Cleanup Through an Optimized Pragmatic Automated System

Developing OCTOPAS – A Novel Method for Oil Spill Cleanup Through an Optimized Pragmatic Automated System
Authors: Saravana Kumar Divya Sundari, Monish;

A Novel Method for Oil Spill Cleanup Through an Optimized Pragmatic Automated System

Abstract

Oil spills are an urgent global problem that has been worsening over the last 4 years (ITOPF., 2023). Devastating nearby ecosystems and disrupting economies, they can contaminate water and cause long-lasting damage. For example, the multibillion-dollar fishing industry is affected severely by oil spills. Despite the development of efficient sorbents, the method of sorbent deployment ultimately decides the effectiveness of cleanup efforts. OCTOPAS (Oil Spill Cleanup through an Optimized Pragmatic Automated System), is a novel sorbent deployment method which cleans up oil spills much more efficiently than conventional methods. OCTOPAS has 2 main components, a digital app and a physical boat. Using a novel algorithm, OCTOPAS App generates the optimal path to deploy the sorbents. OCTOPAS Boat gets this instruction and deploys sorbents pragmatically. Using OCTOPAS to deploy sorbents is on average 217.9% more efficient than the conventional method. In the real world, OCTOPAS can be stowed on oil tankers, ready to be used immediately. This immediate deployment can limit the spread and improve the efficiency of oil spill cleanups by a significant margin.

Keywords

MTMS Aerogel, Peat Moss, Oil Spill, Silica Aerogel, Methyltrimethoxysilane Aerogel

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green