Knowing the concentration of ozone in the air above urban areas is a missing piece of important information for ozone pollution forecasters.
Atmospheric scientists studying ozone pollution also need this information to help determine the "sources and sinks" (i.e., where it is created and where it goes) of air pollutants. In turn, metro area planners could devise effective strategies to address air quality issues.
With these ultimate goals in mind, a team of engineers at the Georgia Tech Research Institute (GTRI) is designing the next generation of ozone-monitoring technology. Based on light detection and ranging (LIDAR) technology developed by the National Oceanic and Atmospheric Administration, the new version will make ozone monitoring continuous and affordable, and results will be available via the Internet in real time.
Funded by a Technology Development Partnership through the Georgia Research Alliance and LaserCraft Inc. of Norcross, Ga., the device has been dubbed NEXLASER for NEXt Generation Laser Air Sensor for the Southeastern Region (though the technology could be applied anywhere in the world).
"NEXLASER will be great for ozone forecasting, and it should enable people to do new kinds of research projects in city planning, environmental engineering and atmospheric chemistry," said GTRI project director Gary Gimmestad. "?. Right now, it's hard to correlate anything like traffic patterns with ozone. It's just not accurate yet because there's not enough information."
NEXLASER will adapt and automate the operation of LIDAR, which in the past has been suitable only for short-term studies because it requires numerous personnel to operate it.
LIDAR works like this: 1) A laser emits pulses of light that scatter into the atmosphere. 2) Then a telescope receives that scattered light. 3) A detector converts the light to electronic signals. 4) A data system digitizes and stores those signals. 5) Finally, researchers determine the distance the light scattered by multiplying the speed of light by the flight time it took the pulse to travel up and back.
This information reveals the ozone concentration at periodic measured distances because ozone absorbs one color of light emitted from the laser, but not another. So a dense concentration of ozone would lessen the distance light scatters.
While LIDAR provides significant data, it is usually not automated. It takes a crew of operators to make adjustments, maintain the system, and collect and analyze data. NEXLASER will automate this process, making data collection continuous and data analysis occur in real time.
"NEXLASER's three-dimensional data -- altitude up to 3 kilometers, ozone concentration and geographic distribution from a network of units -- will represent a significant technological improvement," Gimmestad said. "We hope that knowing the ozone concentration in all of these places can improve researchers' understanding of ozone sources and sinks."
Senior research scientist Michael Chang in the Georgia Tech School of Earth and Atmospheric Sciences is hopeful about NEXLASER. "If they can pull this off and get a unit that is affordable, it would be great," Chang said. "We can do this type of monitoring now, but it requires a $2 million investment. If they can get the cost down to about a quarter of a million, it's still costly, but we can handle that.
"Vertical profiles of air quality are the great unknown. All of the air quality monitoring we do now is essentially at the surface. But what's above the surface is extremely critical in terms of the air quality at the surface, particularly in the late afternoon. NEXLASER could be the single greatest improvement to our ozone forecasting at this time?. We're looking forward to it with great anticipation," Chang added.
Researchers have completed a laboratory version of NEXLASER and a prototype of software to automate data analysis. They recently began operating, testing and evaluating the system in their lab. The next phase, which may begin this summer, will be field-testing. After that, researchers would work with LaserCraft engineers in developing a commercial version of NEXLASER, which would cost about $250,000 per unit. Gimmestad hopes a network of six NEXLASER units will be deployed within two years at Georgia Environmental Protection Division field sites around metro Atlanta.
"Atlanta is the perfect test case for a NEXLASER network," Gimmestad said. "It has the third-worst air quality in the nation after Los Angeles and Houston?. We hope the NEXLASER technology would be adopted by other cities within five years."
Meanwhile, much work must be done in the lab, the field and the commercial arena. Because LaserCraft is funding part of the NEXLASER research, it has the rights to license the technology. Georgia Tech would grant an actual license to LaserCraft after Gimmestad's team completes field-testing.
"LaserCraft is very pleased to sponsor this project for a number of reasons," said Glen P. Robinson Jr., CEO of LaserCraft. "It fits into our long-range plans to develop new products around laser technology. The NEXLASER will help solve a serious air pollution problem, and it will provide many new, high-tech employment opportunities for Georgia citizens."
LaserCraft's major products are laser speed guns used for traffic speed control, monitoring violations at traffic lights and stop signs, and identifying speeders in school zones and residential areas, and a line of laser-based surveying instruments.
The Georgia Research Alliance is also hopeful about the prospects for NEXLASER. "It brings together Georgia Tech's research and development strengths with LaserCraft's success in marketing and selling laser-based technology," said Kathleen Robichaud, program manager for GRA. And it has real potential for helping to address very serious air quality problems."
The other GTRI researchers involved with the study are project lead engineer Dave Roberts, and engineers John Stewart, Leanne Little West and Jack Wood.
The above post is reprinted from materials provided by Georgia Institute Of Technology. Note: Content may be edited for style and length.
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