시정자료를 이용한 황사의 미세먼지 농도추정 방법 연구
Study of Methodology for Estimating PM10 Concentration of Asian Dust Using Visibility Data
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초록
The PM10 concentration data is useful for indentifying intensity and a transport way of Asian dust. However, it is difficult to identify them properly due to the limited spatial resolution and coverage. Therefore, a methodology to estimate PM10 concentration using visibility data obtained from synoptic observation was developed. To derive the converting function, correlation between visibility and PM10 concentration is investigated using visibility and PM10 concentration data observed at 20 stations in Korea from 2005 to 2009. To minimize bias due to atmospheric moisture, data with higher relative humidity over a critical value were eliminated while deriving PM10-visibility relationship. As a result, an exponentially decreasing function of visibility is obtained under the condition that relative humidity is less than 82%. Verification of the visibility converting function to PM10 concentration was carried out for the dust cases in 2010. It was found that spatial distributions of PM10 calculated by visibility are in good agreement with the observed PM10 distribution, especially for the strong dust cases in 2010. And correlation between the derived and observed PM10 concentration was 0.63. We applied the function to obtain distributions of PM10 concentration over North Korea, in which concentration data are not available, and compared them with satellite derived dust index, IODI distributions for dust cases in 2010. It is shown that the visibility function estimates quite similar patterns of dust concentration with IODI image, which suggests that it can contribute for prediction by indentifying transport route of Asian dust.
Abstract
The PM10 concentration data is useful for indentifying intensity and a transport way of Asian dust. However, it is difficult to identify them properly due to the limited spatial resolution and coverage. Therefore, a methodology to estimate PM10 concentration using visibility data obtained from synoptic observation was developed. To derive the converting function, correlation between visibility and PM10 concentration is investigated using visibility and PM10 concentration data observed at 20 stations in Korea from 2005 to 2009. To minimize bias due to atmospheric moisture, data with higher relative humidity over a critical value were eliminated while deriving PM10-visibility relationship. As a result, an exponentially decreasing function of visibility is obtained under the condition that relative humidity is less than 82%. Verification of the visibility converting function to PM10 concentration was carried out for the dust cases in 2010. It was found that spatial distributions of PM10 calculated by visibility are in good agreement with the observed PM10 distribution, especially for the strong dust cases in 2010. And correlation between the derived and observed PM10 concentration was 0.63. We applied the function to obtain distributions of PM10 concentration over North Korea, in which concentration data are not available, and compared them with satellite derived dust index, IODI distributions for dust cases in 2010. It is shown that the visibility function estimates quite similar patterns of dust concentration with IODI image, which suggests that it can contribute for prediction by indentifying transport route of Asian dust.
참고문헌 (23)
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