• Land and Housing Review
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• v.4 no.4
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• pp.435-447
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• 2013

This study aims to propose basic data for improvements that can actively respond to climate change in the Green Building Certifications that came into effect in March 2013, including the analysis of evaluation criteria and applications. In response to climate change, Green Building Certifications in developed countries such as BREEAM(UK), LEED(USA), DGNB(Germany), and CASBEE(Japan), have been extended to the neighborhood unit or city levels, i.e., BREEAM Communities, LEED Neighborhood Development, DGNB Stadtquartiere, CASBEE Urban Development. On the other hand, for the Green Building Certifications in Korea, some criteria such as indoor environment and energy have been given more emphasis than others such as external environment(land use, traffic, ecological environment). In addition, results from the analysis of the evaluation scores on the external environment of 79 housing complexes show that the score on the indoor environment and energy determines the evaluation grade, whereas the score on the external environment is less weighted and has less impact. Therefore, the new evaluation system for the Green Building Certifications responding to climate change should be extended from building level to urban district levels.

• Ocean and Polar Research
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• v.32 no.3
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• pp.213-228
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• 2010

In late 2010, the Korea Hydrographic and Oceanographic Administration proposed a national monitoring project involving the deployment of 8 realtime ocean data buoys. The area occupied by the buoy-array, located south of the Ieodo Ocean Research Station, can be regarded as a kind of gateway to Korean waters with respect to warm currents and the shipping industry. The acronym for the project, KOGA (Korea Ocean Gate Array) was derived from this aspect. To ensure the success of the project, international cooperation with the neighboring countries of China and Japan is highly desirable. Once KOGA is successfully launched and the moored buoys start to produce data, the data will be applied to various areas such as data assimilation for operational oceanography, circulation dynamics, biogeochemical studies, satellite observations, and air-sea interactions. The aim of this paper is to provide suggestions for KOGA planning and applications.

• Korean Journal of Remote Sensing
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• v.35 no.3
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• pp.375-387
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• 2019

The use of drone-based hyperspectral image offers considerable advantages in high resolution remote sensing applications. The primary objective of this study was to select the optimal bands based on hyperspectral image for the estimation yield of the chinese cabbage. The hyperspectral narrow bands were acquired over 403.36 to 995.19 nm using a 3.97 nm wide, 150 bands, drone-based hyperspectral imaging sensor. Fresh weight data were obtained from 2,031 sample for each field survey. Normalized difference vegetation indices were computed using red, red-edge and near-infrared bands and their relationship with quantitative each fresh weights were established and compared. As a result, predominant proportion of fresh weights are best estimated using data from three narrow bands, in order of importance, centered around 697.29 nm (red band), 717.15 nm (red-edge band) and 808.51 nm (near-infrared band). The study determined three spectral bands that provide optimal chinese cabbage productivity in the visible and near-infrared portion of the spectrum.

• Current Industrial and Technological Trends in Aerospace
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• v.6 no.2
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• pp.51-59
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• 2008

While the infrared imaging satellites with the several type were developed and operated in the foreign countries, we do not have the domestic infrared imaging satellite up to now. In the paper, the general characteristics of infrared and the applications of infrared image were introduced. Also the oversea development status of the infrared imaging satellite was surveyed and introduced to this paper. According to foreign status, the infrared image is utilized in various application including the forest fire monitoring, the volcano activity research, sea surface temperature measurement, land surface temperature calculation, the climate change research, and the environment monitoring. According to these trend the development of the domestic infrared imaging satellite in low earth orbit was required.

• Proceedings of the KIEE Conference
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• 2009.04b
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• pp.38-40
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• 2009

In order to achieve a gearless construction of the wind energy conversion system(WECS), a low-speed generator should be used. Of the various candidate machine types, radial-field, multi-pole, permanent magnet, synchronous machines may be used for low-speed applications. So, this paper deals with the design of direct-coupled, multi-pole radial field machines with permanent magnet(PM) excitation for wind power applications for cogging torque reduction through the determination of optimum pole arc/pitch ratio. On the basis of an equivalent magnetic circuit method(EMCM) and a space harmonic method(SHM), an initial design is performed considering restricted conditions. And then, a detailed design is made using a non-linear finite element analyses(FEA). Finally, test results concerning generating characteristics are given to confirm the validation of the design.

• Journal of Soil and Groundwater Environment
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• v.28 no.spc
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• pp.18-39
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• 2023

Rapid development of geophysical exploration and hydrogeologic monitoring techniques has yielded remarkable increase of datasets related to groundwater systems. Increased number of datasets contribute to understanding of general aquifer characteristics such as groundwater yield and flow, but understanding of complex heterogenous aquifers system is still a challenging task. Recently, applications of data science technique have become popular in the fields of geophysical explorations and monitoring, and such attempts are also extended in the groundwater field. This work reviewed current status and advancement in utilization of data science in groundwater field. The application of data science techniques facilitates effective and realistic analyses of aquifer system, and allows accurate prediction of aquifer system change in response to extreme climate events. Due to such benefits, data science techniques have become an effective tool to establish more sustainable groundwater management systems. It is expected that the techniques will further strengthen the theoretical framework in groundwater management to cope with upcoming challenges and limitations.

• Korean Journal of Agricultural and Forest Meteorology
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• v.9 no.1
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• pp.1-16
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• 2007

The use of information on natural resources is indispensable to most agricultural activities to avoid disasters, to improve input efficiency, and to increase lam income. Most information is prepared and managed at a spatial scale called the "Hydrologic Unit" (HU), which means watershed or small river basin, because virtually every environmental problem can be handled best within a single HU. South Korea consists of 840 such watersheds and, while other watershed-specific information is routinely managed by government organizations, there are none responsible for agricultural weather and climate. A joint research team of Kyung Hee University and the Agriculture, forestry and Fisheries Information Service has begun a 4-year project funded by the Ministry of Agriculture and forestry to establish a watershed-specific agricultural weather information service based on "high definition" digital climate maps (HD-DCMs) utilizing the state of the art geospatial climatological technology. For example, a daily minimum temperature model simulating the thermodynamic nature of cold air with the aid of raster GIS and microwave temperature profiling will quantify effects of cold air drainage on local temperature. By using these techniques and 30-year (1971-2000) synoptic observations, gridded climate data including temperature, solar irradiance, and precipitation will be prepared for each watershed at a 30m spacing. Together with the climatological normals, there will be 3-hourly near-real time meterological mapping using the Korea Meteorological Administration's digital forecasting products which are prepared at a 5 km by 5 km resolution. Resulting HD-DCM database and operational technology will be transferred to local governments, and they will be responsible for routine operations and applications in their region. This paper describes the project in detail and demonstrates some of the interim results.

• Journal of the Korean Geographical Society
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• v.45 no.1
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• pp.11-25
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• 2010

Green Growth was declared as a national development agenda in 2008. There are many contributing concepts and factors in the process of molding the agenda, such as climate change, sustainable development, globalization, the so-called 747 campaign pledges by President Lee in 2007, and the hunger for economic growth in Asia and the Pacific. Green Growth is rather growth-oriented and pays less attention to environmental conservation and social justice. Green Development would fit better as the name of the agenda, dealing with the weaknesses of Green Growth. Climate change itself is a testing ground for geographic knowledges, whose demand is growing rapidly. The contemporary issue increasingly bears complexity that Earth System Science and Sustainability Science have emerged as a research and applications program. Geography is widely recognized as a portal to these programs, where inter- and trans-disciplinary studies are required. Regional potentials should be evaluated from a holistic view so that proper development goals are chosen. Different development trajectory should be taken, depending on the amount of potential a region bears. Material loop should be closed for environmentally sound regions. Green way of life is essential for low carbon society. In the circumstances of climate change in Korean Peninsula and needing of energy efficiency, geographic insight or imagination is urgent for Green Development.

• Korean Journal of Agricultural and Forest Meteorology
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• v.26 no.1
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• pp.63-74
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• 2024

In agriculture, frost can be devastating, which is why observation and forecasting are so important. According to a recent report analyzing frost observation data from the Korea Meteorological Administration, despite global warming due to climate change, the late frost date in spring has not been accelerated, and the frequency of frost has not decreased. Therefore, it is important to automate and continuously operate frost observation in risk areas to prevent agricultural frost damage. In the existing frost observation using leaf wetness sensors, there is a problem that the reference voltage value fluctuates over a long period of time due to contamination of the observation sensor or changes in the humidity of the surrounding environment. In this study, a datalogger program was implemented to automatically solve these problems. The established frost observation system can stably and automatically accumulate time-resolved observation data over a long period of time. This data can be utilized in the future for the development of frost diagnosis models using machine learning methods and the production of frost occurrence prediction information for surrounding areas.

• Journal of Plant Biotechnology
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• v.47 no.2
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• pp.107-117
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• 2020

Flower industry is now growing due to the development of economy in many countries. Simultaneously, needs from consumers in flower market are varied widely. To satisfy the needs from consumers and deal with a variety of diseases from a lots of pathogens as well as climate change, new elite flower cultivars should be released in flower market. For this purpose, conventional and biotechnological techniques can be employed to make good cultivar. Therefore, this review describes the general overview of flower breeding techniques including cross-hybridization, mutation breeding and genetic transformation systems. Also, breeding systems for ornamentals derived from plant tissue culture such as embryo culture, in vitro fertilization, ovary/ovule culture and haploid production were reviewed. Furthermore, in this study recent development of the generation of new flower cultivars using marker-assisted breeding, plant transformation including particle bombardment and Agrobacterium tumefaciens as well as genome-editing technology were described. This review will be contributed to the development and releasement of new flower cultivars with horticulturally useful traits in the future.