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구해정,벨로리드 밀로슬라브,황현준,김민후,김부요,차주완,이용희,백정은,정재원,서성규 한국기상학회 2024 대기 Vol.34 No.1
Under the leadership of the National Institute of Meteorological Sciences (NIMS), the first domestic autonomous flight-type weather modification experimental drone for fog and lower-level cloud seeding was developed in 2021. This drone is designed based on a multi-copter configuration with a maximum takeoff weight of approximately 25 kg, enabling the installation of up to four burning flares for seeding materials and facilitating weather observations (temperature, pressure, humidity, and wind) as well as aerosol (PM10, PM2.5, and PM1.0) particle measurements. This research aims to introduce the construction of the drone and its recent applications over the past two years, providing insights into the experimental procedures, effectiveness verification, and improvement directions of the weather modification drone-based rain enhancement. In particular, partial confirmation of the experimental effects was obtained through the fog dissipation experiment on December 10, 2021, and the lower-level cloud seeding case study on October 5, 2022. To enhance the scope and rainfall amount of weather modification experiments using drones, various technological approaches, including adjustments to experimental altitude, seeding lines, seeding amount, and verification methods are necessary. Through this research, we aim to propose the development direction for weather modification drone technology, which will serve as foundational technology for practical application of domestic rain enhancement technology.
김재철,이종범,최진용,벨로리드 밀로슬라브,이정석 한국자연보호학회 2013 한국자연보호학회지 Vol.7 No.1
In this research, we analyzed the relation between agricultural productivity and climatological data in highlands of Pyeongchang, Gangwon-do. Highland agricultural productivity index (HAPI) was developed using existing agriculture climate index and observation data set. Climate modeling system was constructed for simulations over complex mountainous terrain. Additionally a relation between the productivity and spatial HAPI was studied. The result shows a close corelation between temperature, important for vegetable growth, and vegetable productivity. Climate simulation was performed and the computed 10 years data were compared with data from regional meteorological office in Daegwallyeong. Using the result the HAPI was estimated for each grid (1 km) of the model domain.