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겨울철 강설 관측을 위한 강수량계 가열 시스템 운영 조건 선정에 관한 연구
김병택,황성은,이영태,김민후,황현준,인소라,윤진아,김기훈,Kim, Byeongtaek,Hwang, Sungeun,Lee, Youngtae,Kim, Minhoo,Hwang, Hyunjun,In, Sora,Yun, Jinah,Kim, Kihoon 한국수자원학회 2023 한국수자원학회논문집 Vol.56 No.7
The purpose of this research is to derive the optimal temperature, location, and heating control system for a tipping bucket rain gauge heating system used for observing snowfall during winter. We conducted indoor and outdoor experiments by manufacturing a tipping bucket rain gauge that can be variably controlled for heating at the funnel, exterior, and interior, and indoor and outdoor. The indoor experiments involved using a temperature and humidity chamber to compare the performance and derive the appropriate temperature of the precipitation gauge heating system. Subsequently, the outdoor experiments were carried out at the Cloud Physics Observation Center located in Daeguallyeong, heavy snowfall region, to validate the findings. The analysis result was derived that the heating temperature of the funnel should be set at the 10 to 30℃, while the internal heating temperature should be 70℃. Furthermore, the optimal locations for the heating devices, which aim to minimize measurement delay, were identified as the exterior of the rain gauge, the rim of the funnel, and the vertical surface of the funnel. Our result shows that used as the basis for the operating conditions of precipitation gauge heating systems for solid precipitation measurement in winter.
구진경(Goo Jinkyung),최은희(Choi Eunhee),이순학(Lee Soonhak),황현준(Hwang Hyunjun) 산업연구원 2022 연구보고서 Vol.- No.-
There is an increased utilization of data across industries as the economic value of data improves. This study analyses the current trend and the factors influencing data utilisation, and draw policy implications for promoting data utilization in service sectors. For this purpose, this study scrutinized the trend of data usage in service sectors by analysing Statistics Korea 「Survey of Business Activity」. By quantitative analysis, we attempted to find characteristics of firms utilizing data in service sectors and factors influencing data utilisation in the sectors. We also performed a survey-based analysis to illustrate the trend of data usage in the sectors of information and communications, finance, medical services, and distribution. The characteristics of data in service sectors and the trend of acquiring, trading, and utilizing data by service firms were examined. Additionally, we implemented an in-depth case study to understand data-based business models, legal institutions, and obstacles to data utilization. This study suggests implications for human resources policy in data-based services and for promoting data distribution in the services sectors. Moreover, this study shows the obstacles for data utilization in finance, medicine, and distribution sectors, and proposes a policy measures to solve the problems.