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전지구 대기질 재분석 자료의 평가와 국지규모 미세먼지 예보모델에 미치는 영향
이강열 ( Kangyeol Lee ),이순환 ( Soon-hwan Lee ),김은지 ( Eunji Kim ) 한국환경과학회 2016 한국환경과학회지 Vol.25 No.7
The initial and boundary conditions are important factors in regional chemical transport modeling systems. The method of generating the chemical boundary conditions for regional air quality models tends to be different from the dynamically varying boundary conditions in global chemical transport models. In this study, the impact of real time Copernicus atmosphere monitoring service (CAMS) re-analysis data from the modeling atmospheric composition and climate project interim implementation (MACC) on the regional air quality in the Korean Peninsula was carried out using the community multi-scale air quality modeling system (CMAQ). A comparison between conventional global data and CAMS for numerical assessments was also conducted. Although the horizontal resolution of the CAMS re-analysis data is not higher than the conventionally provided data, the simulated particulate matter (PM) concentrations with boundary conditions for CAMS re-analysis is more reasonable than any other data, and the estimation accuracy over the entire Korean peninsula, including the Seoul and Daegu metropolitan areas, was improved. Although an inland area such as the Daegu metropolitan area often has large uncertainty in PM prediction, the level of improvement in the prediction for the Daegu metropolitan area is higher than in the coastal area of the western part of the Korean peninsula.
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.
이강열,조용범 건국대학교 산업기술연구원 2004 건국기술연구논문지 Vol.29 No.-
This paper proposes a multicast routing algorithm based on neural networks. The multicast is a way that communicates data from one or multiple senders to the group of multiple receivers. It is suitable to provide multimedia services such as Video-Conferencing, Video on Demand, and so on. In this paper, we propose a modified Hopfield neural network to solve the QoS(Quality of Service) constrained multicast routing problem. We consider only one QoS constraint; the delay bound, which is the most important QoS parameter for the multimedia applications. The results show that the proposed algorithm can find the least cost routes from a source node to specific destinations within a delay time. It is also compared multicast routes with other existing heuristic algorithms.