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강동배,박창현,정우식,이귀옥,이화운,Kang, Dongbae,Park, Changhyoun,Jung, Woo-Sik,Lee, KwiOk,Lee, Hwa Woon 한국환경과학회 2020 한국환경과학회지 Vol.29 No.7
It is well known that atmospheric environments, including both meteorology and air quality, significantly affect public health, such as chronic lung disease and cancer, and respiratory infections. In this study, we have analyzed correlations between the number of daily respiratory outpatients and the atmospheric environments data for about ten years for the city of Busan, South Korea. The respiratory problem patients data have been categorized into two health-vulnerable groups by age over 65(DayPA_O65) and under 20(DayPA_U20), each of which shows relatively higher correlations with air quality and meteorology, respectively. However, time series analysis with factor separation results in that DayPA_O65 and DayPA_U20 show a higher relation with variance components and daily irregular factors of atmospheric concentrations, respectively.
기상수치모의 자료를 이용한 부산지역의 소형풍력발전 시스템 적용에 관한 연구
이귀옥 ( Kwiok Lee ),이강열 ( Kangyeol Lee ),강동배 ( Dongbae Kang ),박창현 ( Changhyoun Park ),정우식 ( Woo Sik Jung ) 한국환경과학회 2014 한국환경과학회지 Vol.23 No.6
We investigate the amount of potential electricity energy generated by wind power in Busan metropolitan area, using the mesoscale meteorological model WRF (Weather Research & Forecasting), combined with small wind power generators. The WRF modeling has successfully simulated meteorological characteristics over the urban areas, and showed statistical significant to predict the amount of wind energy generation. The highest amount of wind power energy has been predicted at the coastal area, followed by at riverbank and upland, depending on predicted spatial distributions of wind speed. The electricity energy prediction method in this study is expected to be used for plans of wind farm constructions or the power supplies.