SINGAPORE – Scientists from Nanyang Technological University (NTU) have found a way to forecast haze earlier – by monitoring the often overlooked upper atmosphere, which carries haze particles and pollutants across regions.
With this monitoring system, they can also predict which areas in Singapore will be more affected by haze.
The upper atmosphere lies above the air people breathe in or the ground level of the atmosphere. Traditional air-quality monitoring focuses on the ground level of the atmosphere.
“If we simply look at the ground level, we may not be able to understand the whole picture of transboundary haze,” said Associate Professor Steve Yim from NTU’s Asian School of the Environment.
On the NTU monitoring system, he said: “We can get an earlier signal of haze when it appears in the upper atmosphere before aerosols are transported down to the ground. We can also determine how fast the haze will be transported down to the ground level by analysing vertical (air speed).”
To uncover how the upper atmosphere drives haze, Prof Yim and his team set up a monitoring station – which uses a type of laser technology known as Lidar – on the rooftop of NTU’s Earth Observatory of Singapore in September 2023. Lidar, which stands for light detection and ranging, provides detailed wind and aerosol profiles of the upper atmosphere.
The box-like instrument can scan up to 12km of the atmosphere from the ground, but the study was limited to a scope of 3km.
The instrument was put to the test a month later on the night of Oct 6, when it detected strong winds from the south-east region carrying haze pollutants from Sumatra to Singapore.
The haze particles mixed with the ground-level air on Oct 7, eventually turning the air unhealthy that Saturday morning.
The strong winds created favourable conditions for sending the pollutants here, said Prof Yim. On Oct 7, the 24-hour Pollutant Standards Index was highest at 123 between 8pm and 9pm in the eastern part of Singapore.
The winds disappeared later in the night, and the hazy conditions eventually fizzled away the next day.
“The (existing) monitoring method strongly relies on satellite images that can provide the spatial distribution of haze. But satellite images are largely affected by cloud cover and they cannot provide the vertical distribution of aerosol and wind, limiting the forecast of when ground-level air quality will be affected,” Prof Yim said.