• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.2
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• pp.183-191
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• 2011

The objective of this study is 10 investigate the method to produce urban climate map so as to cope with climate change and efficiently control greenhouse gas in the city by using GIS. To produce urban climate map by using GIS, statistical data and spatial data of greenhouse gases related to climate change were collected and analyzed and the correlation between the type of urban climatop and urban climate change was analyzed by establishing GIS framework data construction method to prepare urban climate map and preparing and analyzing urban climate map related to the demonstration area. It was found that exact greenhouse gases emission quantity and absorption quantity can be calculated for each type of urban climatop by preparing urban climate map and the temperature is high in residential area, commercial area and industrial area and the emission quantity per unit area is high in the traffic area and industrial area. It seems that the influence of climate change can be presented for urban development by suggesting urban climate change for type of urban climatop and they can be utilized to save energy in urban area and to establish greenhouse gases reducing policy.

• Journal of Environmental Impact Assessment
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• v.20 no.5
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• pp.601-613
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• 2011

This study is focused on a climate data integrity to improve water quality assessment due to the social development projects. The study is in an attempt to calculate both extreme ranges of weather data measurements and partly provide means to assess qualification of data which fall within the extremes at the 23 meteorological weather stations. Generally speaking, maximum temperature, minimum temperature, relative humidity, dew point temperature are in the range of reasonable accuracy. However, there found some outliers of the brightness sunshine hours in Cheonan station. Also some years in Gwangju, Seoul, Wonju, Busan, and Jeju never reach to their upper limit and perhaps the calibration of the equipment is doubtful. The users need to take cautions in using the brightness sunshine hour data in preparation of water resources planning and management by estimating evapotranspiration and river discharge, and/or growth rate of the algae (phytoplankton).

• Research in Community and Public Health Nursing
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• v.33 no.4
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• pp.432-445
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• 2022

Purpose: The purpose of this study was to identify the relationship of the school organizational climate with perceived discrimination and the workplace violence among school health teachers. Methods: The research design was a cross-sectional study. The subjects of the study were 350 school health teachers with more than one year of teaching experience. Data were collected online using a questionnaire. Research variables are general characteristics, organizational climate, perceived discrimination, and workplace violence. The relationship between organizational climate and perceived discrimination and the relationship between organizational climate and workplace violence were analyzed using regression analysis. Results: The score for organizational climate of health teachers was 3.10 out of 5 points, the score for perceived discrimination was 2.85 out of 5 points, and the experience rate of workplace violence was 16.9%. School organizational climate was related to both workplace violence and perceived discrimination. The subcomponents of organizational climate affecting perceived discrimination of health teachers were interrelationship and the level of compensation. The subcomponents of organizational climate affecting workplace violence of health teachers were interrelationship and autonomy. Conclusion: The improvement of the school's organizational climate can reduce the level of workplace violence and discrimination against health teachers. It is important to establish an appropriate evaluation system for health teachers and to recognize the role and expertise of health teachers. In addition, it is necessary for school administraters to actively support health teahcers and to create an organizational climate where they can be friendly and communicative.

• Asian Journal of Atmospheric Environment
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• v.11 no.4
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• pp.330-343
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• 2017

Climate change is an important issue, with many researches examining not only future climatic conditions, but also the interaction of climate and air quality. In this study, a new version of the emissions processing software tool - Python-based PRocessing Operator for Climate and Emission Scenarios (PROCES) - was developed to support climate and atmospheric chemistry modeling studies. PROCES was designed to cover global and regional scale modeling domains, which correspond to GEOS-Chem and CMAQ/CAMx models, respectively. This tool comprises of one main system and two units of external software. One of the external software units for this processing system was developed using the GIS commercial program, which was used to create spatial allocation profiles as an auxiliary database. The SMOKE-Asia emissions modeling system was linked to the main system as an external software, to create model-ready emissions for regional scale air quality modeling. The main system was coded in Python version 2.7, which includes several functions allowing general emissions processing steps, such as emissions interpolation, spatial allocation and chemical speciation, to create model-ready emissions and auxiliary inputs of SMOKE-Asia, as well as user-friendly functions related to emissions analysis, such as verification and visualization. Due to its flexible software architecture, PROCES can be applied to any pregridded emission data, as well as regional inventories. The application results of our new tool for global and regional (East Asia) scale modeling domain under RCP scenario for the years 1995-2006, 2015-2025, and 2040-2055 was quantitatively in good agreement with the reference data of RCPs.

• Journal of Navigation and Port Research
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• v.26 no.4
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• pp.465-472
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• 2002

The waterfront has distinct climate characteristics different from urban or inland area. These may create not only the rise of energy and maintenance costs for facilities located at waterfront areas, but also the negative effects on the climate of the nearby inland area, unless these are treated with particular care. For the present study, the climate characteristics of waterfront were examined with climate data of 10 observation points carefully selected in Busan area. Each weather observation point was classified into either waterfront area of inland area, based on the distance from the coastal line. Special considerations were given to the climate data gathered at the Dae-Yeon weather station because it shows the climate characteristics similar to those of inland area, although it is located very near the waterfront area. Results indicates that this peculiar climate condition attributes, at least in part, to the reclamation of frontal coastal area.

• Journal of Agricultural Extension & Community Development
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• v.1 no.1
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• pp.37-45
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• 1994

This study was conducted to investigate the organizational climate of the agricultural extension education agencies and its influence on their educators` attitude toward job in Korea. The specific objectives of the study were 1) to identify the educators` perception of the organizational climate in the agricultural extension education agencies, and 2) to determine whether or not the educators` perception of the organizational climate influnce on their attitude toward job. Organizational climate has bees defined by many scholars as the properties of the social psychological environment perceived by organization members. There are various theoretical interpretations offered by die scholas about the effect of organizational climate upon organization members` behavior. Through a series of the theoretical reviews, this study could draw more than twenty variables in four types of organizational climate which might be perceived by the educators of agricultural extension education agencies and might influence upon their attitude toward job. The data were collected mainly through questionnaires sent to the responsible officers for administering the questionnaires for all adult educators of 30 agricultural extension education agencies randomly sampled from the population of 190 agencies. After data cleaning, a total of 629 responded questionnaires were analyzed for the study. The statistical methods used in the study were percentile, correlation, one way analysis of variance and multiple regression analysis. The two major findings of the study were as follows : 1. The organizational climate of agricultural extension education agencies were classified into four types : 1) democratic-autonomous, 2) cooperative-friendly, 3) achievement-oriented, and 4) bureaucratic-authoritarian. Among these of organizational climates, the cooperative-friendly one was most positively but the bureaucratic-authoritarian one was least positively perceived by the educators. 2. The educators` potion of the organizational climate and their attitude toward job were significantly correlated. The educators` perception of the organizational climate explained 41 percent of the variance of their attitude toward job in a multiple regression analysis In particular, the perception of the achievement oriented type of the organizational climates alone explained 34 percent of the variance of the favorable attitude.

• Journal of The Korean Society of Agricultural Engineers
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• v.57 no.2
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• pp.15-26
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• 2015

The purpose of this paper is to develop a software tool, PGA-CC (Projection of hydrology via Grid-based Assessment for Climate Change) to evaluate the present hydrologic cycle and the future watershed hydrology by climate change. PGA-CC is composed of grid-based input data pre-processing module, hydrologic cycle calculation module, output analysis module, and output data post-processing module. The grid-based hydrological model was coded by Fortran and compiled using Compaq Fortran 6.6c, and the Graphic User Interface was developed by using Visual C#. Other most elements viz. Table and Graph, and GIS functions were implemented by MapWindow. The applicability of PGA-CC was tested by assessing the future hydrology of South Korea by HadCM3 SRES B1 and A2 climate change scenarios. For the whole country, the tool successfully assessed the future hydrological components including input data and evapotranspiration, soil moisture, surface runoff, lateral flow, base flow etc. From the spatial outputs, we could understand the hydrological changes both seasonally and regionally.

• KCID journal
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• v.21 no.1
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• pp.89-98
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• 2014

This study is to evaluate the future potential impact of climate change on soil erosion loss in a metropolitan area using Revised Universal Soil Loss Equation(RUSLE) with land use information of the Ministry of Environment and rainfall data for present and future years(30-year period). The spatial distribution map of vulnerable areas to soil erosion was prepared to provide the basis information for soil conservation and long-term land use planning. For the future climate change scenario, the MIROC3.2 HiRes A1B($CO_2720ppm$ level 2100) was downscaled for 2040-2069(2040s) and 2070-2099(2080s) using the stochastic weather generator(LARS-WG) with average rainfall data during past 30 years(1980-2010, baseline period). By applying the climate prediction to the RUSLE, the soil erosion loss was evaluated. From the results, the soil erosion loss showed a general tendency to increase with rainfall intensity. The soil loss increased up to 13.7%(55.7 ton/ha/yr) in the 2040s and 29.8%(63.6 ton/ha/yr) in the 2080s based on the baseline data(49.0 ton/ha/yr).

• Ocean and Polar Research
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• v.31 no.4
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• pp.401-414
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• 2009

Yellow Sea Buoy (YSB) was moored in the center of the Yellow Sea at 35$^{\circ}$51'36"N, 124$^{\circ}$34'42"E, on 12 September 2007. YSB is a large buoy of 10 m diameter, and as such is more durable against collision by ships and less likely to be lost or removed by fishing nets compared to small ordinary buoys of 2.3 m diameter. YSB is equipped with 12 kinds of oceanic and meteorologic instruments, and transfers its realtime observation data to KORDI through ORBCOMM system every 1 hour. Data on ocean winds, air temperature, air pressure, and sea temperature appear to be accurate, while water property sensors (AAQ1183), which are sensitive to fouling, are producing errors. YSB (2007), Ieodo ocean research station (2003), and Gageocho ocean research station, which was completed in October 2009, will establish the 2 degrees interval by latitude in the Yellow Sea, and they will contribute though the 'Operational Oceanography System' as the important realtime observation network.

• Ocean and Polar Research
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• v.24 no.3
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• pp.207-213
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• 2002

We have analyzed sea surface temperature and salinity data collected in the western Pacific Ocean by using an automated Thermosalinograph (TSG) installed on the RV Onnuri during May - June of 2001. The TSG data exhibit characteristics of water masses distributed in the near surface layer of the cruise area very well. Especially, they reveal the diurnal surface temperature cycle and the effect of rainfall on temperature and salinity in the equatorial region, showing the effectiveness of the use of TSG. Problems to be improved for the better TSG operation are the method of water sampling and calibration of TSG sensors. Installation of a pressure gauge in the TSG system and periodical sensor calibration are strongly recommended to ensure reliability of data.