1:45 PM - 3:15 PM
[O08-P52] Variations in PM2.5 concentration at Sapporo Asahigaoka High School
Keywords:PM2.5, concentration variation, arrival route
In September 2023, a PM2.5 observation device (Yasunari et al., 2022, https://doi.org/10.1016/j.jenvman.2022.114784) (hereinafter referred to as the device) was placed on the roof of Sapporo Asahigaoka High School (hereinafter referred to as our school) in collaboration with the Hokkaido University Arctic Research Center. The exact location is 5-18, Asahigaoka 6-chome, Chuo-ward, Sapporo, Hokkaido, Japan (43.0378033N, 141.316777E, elevation 90 m). The device was specialized to the observation of PM2.5 concentration that is known indicator of air pollution.
Our group have reseached "concentration variation" of observed PM2.5 and the "arrival route" of PM2.5 flying to our school. The data observed by our device were statistically processed (such as calculation of averages) using macros created by Yutaka Matsumi who is the professor Emeritus in Institute for Space-Earth Environment Reseach of Nagoya University, after that, we analyzed the data. Open data used other than our observation were the reanalysis data MERRA-2 (using Chem Maps: https://fluid.nccs.nasa.gov/reanalysis/) produced by NASA (National Aeronautics and Space Administration), NOAA's (National Oceanic and Atmospheric Administration) HYSPLIT Backward Grain Trace Line Analysis (online calculation: https://www.ready.noaa.gov/HYSPLIT.php ), weather maps provided by the Japan Weather Association (https://tenki.jp/), and some data from the Japan Meteorological Agency (https://www.jma.go.jp/). We analyzed and discussed about PM2.5 "concentration variations" and "arrival route" from these data.
Regarding the "arrival route", we saved every three hours data of NASA's Chem Maps as image data, and we created a movie of visualizeing the movement of PM2.5. As a result, it was confirmed that PM2.5 generated in China and Russia was flying into Japan from September to November 2023. Analysis of "concentration variations" from September to November 2023 in conjunction with weather maps revealed that PM2.5 was also variating as the typhoon moved. It was suggested that marine aerosol is the main component of this PM2.5 in those three months, because the sea salt data of MERRA-2 variated with the movement of the typhoon. NOAA's HYSPLIT is an analytical tool that can discuss where air masses come from, and in this reseach, we performed Backward Grain Trace Line Analysis to discuss the arrival route up to three days before the PM2.5 concentration increase event. Using this HYSPLIT and weather maps to analyze the causes of PM2.5 concentration variations, it was confirmed that air masses were moving from high pressure to low pressure. Since air flows from high pressure to low pressure, it was considered that PM2.5 was moving with this air flow.
In other analyzes, we did not find a strong correlation between "Maximum, Average, and Minimum values" of PM2.5 concentration data and "Average temperature, Maximum temperature, Minimum temperature, Total precipitation, Sunshine hours, Total solar radiation, Latest snowfall, Total snowfall, Average wind speed, Maximum wind speed, Maximum instantaneous wind speed, Average vapor pressure, and Average humidity" of open data from the Japan Meteorological Agency.
This time, we were able to analyze the observed data in combination with various open data, and we could investigate about PM2.5 in our school. Currently, we are analyzing data from December 2023 onward, and we are going to present the details on the day of the conference presentation.
Our group have reseached "concentration variation" of observed PM2.5 and the "arrival route" of PM2.5 flying to our school. The data observed by our device were statistically processed (such as calculation of averages) using macros created by Yutaka Matsumi who is the professor Emeritus in Institute for Space-Earth Environment Reseach of Nagoya University, after that, we analyzed the data. Open data used other than our observation were the reanalysis data MERRA-2 (using Chem Maps: https://fluid.nccs.nasa.gov/reanalysis/) produced by NASA (National Aeronautics and Space Administration), NOAA's (National Oceanic and Atmospheric Administration) HYSPLIT Backward Grain Trace Line Analysis (online calculation: https://www.ready.noaa.gov/HYSPLIT.php ), weather maps provided by the Japan Weather Association (https://tenki.jp/), and some data from the Japan Meteorological Agency (https://www.jma.go.jp/). We analyzed and discussed about PM2.5 "concentration variations" and "arrival route" from these data.
Regarding the "arrival route", we saved every three hours data of NASA's Chem Maps as image data, and we created a movie of visualizeing the movement of PM2.5. As a result, it was confirmed that PM2.5 generated in China and Russia was flying into Japan from September to November 2023. Analysis of "concentration variations" from September to November 2023 in conjunction with weather maps revealed that PM2.5 was also variating as the typhoon moved. It was suggested that marine aerosol is the main component of this PM2.5 in those three months, because the sea salt data of MERRA-2 variated with the movement of the typhoon. NOAA's HYSPLIT is an analytical tool that can discuss where air masses come from, and in this reseach, we performed Backward Grain Trace Line Analysis to discuss the arrival route up to three days before the PM2.5 concentration increase event. Using this HYSPLIT and weather maps to analyze the causes of PM2.5 concentration variations, it was confirmed that air masses were moving from high pressure to low pressure. Since air flows from high pressure to low pressure, it was considered that PM2.5 was moving with this air flow.
In other analyzes, we did not find a strong correlation between "Maximum, Average, and Minimum values" of PM2.5 concentration data and "Average temperature, Maximum temperature, Minimum temperature, Total precipitation, Sunshine hours, Total solar radiation, Latest snowfall, Total snowfall, Average wind speed, Maximum wind speed, Maximum instantaneous wind speed, Average vapor pressure, and Average humidity" of open data from the Japan Meteorological Agency.
This time, we were able to analyze the observed data in combination with various open data, and we could investigate about PM2.5 in our school. Currently, we are analyzing data from December 2023 onward, and we are going to present the details on the day of the conference presentation.