2015-06-26-14_49_42-Greenshot-capture-form

Internet of Things Turns New York’s Lake George into Smartest Lake

Internet of Things Turns New York’s Lake George into Smartest Lake

 

The Jefferson Project at Lake George, one of the most ambitious research projects to deploy Big Data and analytics technology to manage and protect a body of fresh water, is entering a new phase in which enormous amounts of data will be captured from sensors and analyzed. Scientists anticipate that insights uncovered from the data collection and discovery stage of the project will not only help manage and protect one of America’s most famous lakes, but create a blueprint to preserve important lakes, rivers and other bodies of fresh water around the globe.

Jefferson Project Director Rick Relyea (left) and IBM Research Distinguished Engineer Harry Kolar (right) examine a visualization of Lake George, as part of The Jefferson Project at Lake George, a three year effort to deploy Internet of Things

The potential impact of these new developments extends well beyond the shores of Lake George. By capturing and pooling data from all sorts of sensors and swiftly analyzing it, scientists, policy makers and environmental groups around the globe could soon accurately predict how weather, contaminants, invasive species and other threats might affect a lake’s natural environment. Armed with these new insights and a growing body of best practices, corrective actions could be taken in advance to protect fresh water sources anywhere in the world.

Read Also:
Open source and open data empower modern meteorologists

Thirty-five years of monitoring the chemistry and algae in Lake George by scientists at Rensselaer’s Darrin Fresh Water Institute, in collaboration with The FUND for Lake George, have demonstrated the lake is changing. Chloride inputs from road salt have tripled, algae have increased by one third, and five invasive species have been introduced. These factors threaten entire regional economies driven by water recreation, boating and other forms of tourism on fresh water lakes, rivers and streams.

Early Findings Even as the data collection and discovery phase of the Jefferson Project ramps up, the ambitious initiative has already offered intriguing insights into Lake George. For example, Lake George flows south to north, with the lake draining into Lake Champlain via the La Chute River. However, sensors deployed on the lake bottom during the winter ice-over period recently confirmed complicated flow patterns within Lake George. These findings, which are being further investigated, include higher than expected currents and countercurrents during the time in which the lake is frozen.

Read Also:
Crunching Big Data for Operations Management

The computing infrastructure powering the Jefferson Project involves multiple computing platforms, ranging from an IBM Blue Gene/Q supercomputer located in a data center on the Rensselaer campus to embedded, intelligent-computing elements and other Internet of Things technology situated on various sensor platforms in and around the lake.



Enterprise Data World 2017

2
Apr
2017
Enterprise Data World 2017

$200 off with code 7WDATA

Read Also:
Competition Heats Up for Elusive Big Data Professionals

Data Visualisation Summit San Francisco

19
Apr
2017
Data Visualisation Summit San Francisco

$200 off with code DATA200

Read Also:
The Growth of Business Intelligence in 2017

Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
Does Your Customer Success Manager Need Data Science Skills? Part 2

Chief Analytics Officer Spring 2017

2
May
2017
Chief Analytics Officer Spring 2017

15% off with code MP15

Read Also:
The New 4.0 Industrial Revolution is coming

Big Data and Analytics for Healthcare Philadelphia

17
May
2017
Big Data and Analytics for Healthcare Philadelphia

$200 off with code DATA200

Read Also:
3 benefits a smart city can gain from smart infrastructure
Read Also:
Open source and open data empower modern meteorologists

Leave a Reply

Your email address will not be published. Required fields are marked *