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유역의 수질ㆍ부하량 평가를 위한 웹기반 LDC 시스템의 적용 및 평가
강현우 ( Hyunwoo Kang ),류지철 ( Jichul Ryu ),신민환 ( Minhwan Shin ),최중대 ( Joongdae Choi ),최재완 ( Jaewan Choi ),신동석 ( Dongseok Shin ),임경재 ( Kyoung Jae Lim ) 한국농공학회 2011 한국농공학회 학술대회초록집 Vol.2011 No.-
In South Korea, Total Maximum Daily Load(TMDL) has been enforced since 2004 to restore and manage water quality in the watersheds. However, the appraisal of TMDL in South Korea has lots of weaknesses to establish the plan for recovery of water quality because it just evaluates the target water quality during the particular flow duration interval. In the United States, Load Duration Curve(LDC) method bas been widely used in the TMDL to evaluate the water quality and pollutant loads considering variation of stream flow. In a recent study, web-based Load Duration Curve system was developed to create the LDC automatically and provide the convenience of use. In this study, the Q-L Rating Curve tool was added to the web-based Load Duration Curve system to evaluate water quality status of watershed and pollutant load objectively. The enhanced web-based LDC system was applied to Gapyeongcheon watershed using the daily flow and 8-day interval water quality data. As a result of study, water quality and pollutant load in Gapyeongcheon watershed were met with water quality standard and allocated load in the all flow durations. Web-based Load Duration Curve system including Q-L Rating Curve tool could be applied to the appraisal of South Korean TMDL because it can be used to judge the impaired flow duration and build up the plan of load reduction, and it could enhance the publicity.
강현우(Kang Hyunwoo),김세인(Kim Sein),문세미(Moon Semi),최민우(Choi Minwoo),황성수(Hwang Sung Soo) 한국HCI학회 2018 한국HCI학회 학술대회 Vol.2018 No.1
장애인들의 실업률이 증가함과 동시에 평생교육 및 직업능력개발에 관한 욕구가 높아지면서 장애인직무교육에 대한 필요성이 증가하고 있다. 그러나 현재 장애인 직업재활은 부족한 직업교육 훈련기관과 오프라인 교육, e-Learning 교육 같이 장애인에게 비효율적인 직무교육 시스템으로 인해 장애인들의 직업능력 개발에 관한 요구를 충족시키지 못하고 있다. 이에 본 논문은 Virtual Reality 기술을 이용하여 장애인들에게 보다 더 효과적인 맞춤형 직무교육을 제공하는 시스템을 제안한다. Virtual Reality 기술을 사용하는 직무교육 프로그램은 국내 국외를 포함해 여러 곳에서 사용되고 있다. 하지만 장애인을 대상으로 하는 교육 프로그램은 존재하지 않는다. 따라서 본 논문은 장애인에게 효과적일 수 있는 교육 컨텐츠를 지원하며, Virtual Reality 기술을 활용하여 장애인들의 직무교육과 경제적 자립을 도와주는 소프트웨어를 제안한다.
K-means Clustering 알고리즘을 이용한 SWAT 자동 보정 모듈 개선
강현우 ( Hyunwoo Kang ),박윤식 ( Youn Shik Park ),김종건 ( Jonggun Kim ),장원석 ( Won Seok Jang ),류지철 ( Ji Chul Ryu ),김남원 ( Nam Won Kim ),공동수 ( Dong Soo Kong ),임경재 ( Kyoung Jae Lim ) 한국농공학회 2010 한국농공학회 학술대회초록집 Vol.2010 No.-
Calibration and validation should be performed to secure accuracies in SWAT simulated results in various hydrology and water quality studies. When calibrating and validating SWAT model with measured data, the Nash-Sutcliffe efficiency coefficient (NSE) is used extensively, also it is used for the Auto-Calibration function in current SWAT model. However, it has been known as the NSE value is influenced sensitively by bigger values among given data by sacrificing accuracies in estimated lower flow values. In this study, flow clustering NSE estimation system, which calculates the NSE for flow groups, was incorporated into the SWAT auto-calibration module. With this capability, the SWAT estimated low flow could match measured low flow data well because the NSE is calculated with low flow and high flow dataset separately. The improved SWAT auto-calibration module will provide very efficient tool for accurate simulation of hydrology and accompanying sediment and water quality with no additional input dataset.