This article focuses on the use of aquatic robots for cleaning water bodies. Brooklyn Atlantis, a 40-pound unmanned aquatic vehicle, has been developed and used to collect gather water quality data and other info, such as pictures of oil-smeared animals or dying fish, vital for assessing the impact of environmental disasters. Brooklyn Atlantis has already made important discoveries from its data collection. With its underwater photographs of water turbidity, Brooklyn Atlantis also pinpointed sediment deposits that naturally accumulate with the canal’s water flow. The findings can inform engineers where the marsh grasses are more likely to grow and where the fish are more likely to spawn. As a result, these areas are being earmarked for a wetland reconstructions prototype. With a grant to commercialize the technology, Laut and Porfiri are actively looking to convert their project into a company that assesses environmental situations, helping to clean up and rebuild.
Skip Nav Destination
Article navigation
November 2017
Select Article
Into the Muck
An Aquatic Robot Helps Uncover the Gowanus Canal's Century-Old Pollution Problems.
Lina Zeldovich is a freelance writer based in Woodside, N.Y.
Mechanical Engineering. Nov 2017, 139(11): 40-45 (6 pages)
Published Online: November 1, 2017
Citation
Zeldovich, L. (November 1, 2017). "Into the Muck." ASME. Mechanical Engineering. November 2017; 139(11): 40–45. https://doi.org/10.1115/1.2017-Nov-3
Download citation file:
1,270
Views
Get Email Alerts
Cited By
New “Flies” Around the Landfill
Mechanical Engineering (November 2024)
Below and Beyond
Mechanical Engineering (November 2024)
Hidden Infrastructure for the New Energy Economy
Mechanical Engineering (November 2024)
Autonomous Freight Takes to the Rail, Road, Sea, and Air
Mechanical Engineering (September 2024)
Related Articles
Stemming the Flood
Mechanical Engineering (July,2011)
The Dispersion and Detectability of Sanitary Waste-Water Discharges From Navy Ships
J. Eng. Ind (February,1975)
Stochastic Artificial Aeration Control for Regional Drainage Basins
J. Dyn. Sys., Meas., Control (December,1982)
Optimal Control of a Partially Time Lagged River Aeration System Subject to Random Disturbances
J. Dyn. Sys., Meas., Control (September,1977)
Related Proceedings Papers
Related Chapters
Makeup Water Treatment Plant Start-Up
Consensus on Pre-Commissioning Stages for Cogeneration and Combined Cycle Power Plants
Comparing Supervised and Unsupervised Classifiers for Multispectral Image Analysis
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Bacterial Indicators and Standards of Water Quality in Britain
Bacterial Indicators/Health Hazards Associated with Water