http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
GOCI AOD를 이용한 서울 지역 지상 PM<sub>2.5</sub> 농도의 경험적 추정 및 일 변동성 분석
김상민 ( Sang-min Kim ),윤종민 ( Jongmin Yoon ),문경정 ( Kyung-jung Moon ),김덕래 ( Deok-rae Kim ),구자호 ( Ja-ho Koo ),최명제 ( Myungje Choi ),김광년 ( Kwang Nyun Kim ),이윤곤 ( Yun Gon Lee ) 대한원격탐사학회 2018 大韓遠隔探査學會誌 Vol.34 No.3
The empirical/statistical models to estimate the ground Particulate Matter (PM<sub>2.5</sub>) concentration from Geostationary Ocean Color Imager (GOCI) Aerosol Optical Depth (AOD) product were developed and analyzed for the period of 2015 in Seoul, South Korea. In the model construction of AOD-PM<sub>2.5</sub>, two vertical correction methods using the planetary boundary layer height and the vertical ratio of aerosol, and humidity correction method using the hygroscopic growth factor were applied to respective models. The vertical correction for AOD and humidity correction for PM<sub>2.5</sub> concentration played an important role in improving accuracy of overall estimation. The multiple linear regression (MLR) models with additional meteorological factors (wind speed, visibility, and air temperature) affecting AOD and PM<sub>2.5</sub> relationships were constructed for the whole year and each season. As a result, determination coefficients of MLR models were significantly increased, compared to those of empirical models. In this study, we analyzed the seasonal, monthly and diurnal characteristics of AOD-PM<sub>2.5</sub>model. when the MLR model is seasonally constructed, underestimation tendency in high PM<sub>2.5</sub> cases for the whole year were improved. The monthly and diurnal patterns of observed PM<sub>2.5</sub> and estimated PM<sub>2.5</sub> were similar. The results of this study, which estimates surface PM<sub>2.5</sub> concentration using geostationary satellite AOD, are expected to be applicable to the future GK-2A and GK-2B.