• Atmosphere
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• v.24 no.3
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• pp.445-456
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• 2014

A real-time quality control system for meteorological data (air temperature, air pressure, relative humidity, wind speed, wind direction, and precipitation) measured by an integrated meteorological sensor has been developed based on comparison of quality control procedures for meteorological data that were developed by the World Meteorological Organization and the Korea Meteorological Administration (KMA), using time series and statistical analysis of a 12-year meteorological data set observed from 2000 to 2011 at the Incheon site in Korea. The quality control system includes missing value, physical limit, step, internal consistency, persistence, and climate range tests. Flags indicating good, doubtful, erroneous, not checked, or missing values were added to the raw data after the quality control procedure. The climate range test was applied to the monthly data for air temperature and pressure, and its threshold values were modified from ${\pm}2{\sigma}$ and ${\pm}3{\sigma}$ to ${\pm}3{\sigma}$ and ${\pm}6{\sigma}$, respectively, in order to consider extreme phenomena such as heat waves and typhoons. In addition, the threshold values of the step test for air temperature, air pressure, relative humidity, and wind speed were modified to $0.7^{\circ}C$, 0.4 hPa, 5.9%, and $4.6m\;s^{-1}$, respectively, through standard deviation analysis of step difference according to their averaging period. The modified quality control system was applied to the meteorological data observed by the Weather Information Service Engine in March 2014 and exhibited improved performance compared to the KMA procedures.

• Journal of Environmental Impact Assessment
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• v.24 no.2
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• pp.134-153
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• 2015

When making urban planning, it is important to understand climate effect caused by urban structural changes. Seoul city applies UPIS(Urban Plan Information System) which provides information on urban planning scenario. Technology for analyzing climate effect resulted from urban planning needs to developed by linking urban planning scenario provided by UPIS and climate analysis model, CAS(Climate Analysis Seoul). CAS develops for analyzing urban climate conditions to provide realistic information considering local air temperature and wind flows. Quantitative analyses conducted by CAS for the production, transportation, and stagnation of cold air, wind flow and thermal conditions by incorporating GIS analysis on land cover and elevation and meteorological analysis from MetPhoMod(Meteorology and atmospheric Photochemistry Meso-scale model). In order to reflect land cover and elevation of the latest information, CAS used to highly accurate raster data (1m) sourced from LiDAR survey and KOMPSAT-2(KOrea Multi-Purpose SATellite) satellite image(4m). For more realistic representation of land surface characteristic, DSM(Digital Surface Model) and DTM(Digital Terrain Model) data used as an input data for CFD(Computational Fluid Dynamics) model. Eight inflow directions considered to investigate the change of flow pattern, wind speed according to reconstruction and change of thermal environment by connecting green area formation. Also, MetPhoMod in CAS data used to consider realistic weather condition. The result show that wind corridors change due to reconstruction. As a whole surface temperature around target area decreases due to connecting green area formation. CFD model coupled with CAS is possible to evaluate the wind corridor and heat environment before/after reconstruction and connecting green area formation. In This study, analysis of climate impact before and after created the green area, which is part of 'Connecting green network across the north and south in Seoul' plan, one of the '2020 Seoul master plan'.

• Journal of the Korean Society of Systems Engineering
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• v.20 no.spc1
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• pp.97-107
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• 2024

Efforts to respond to climate change are being made in various ways around the world, and in the energy field, continuous research and pilot projects are underway through new and renewable energy, efficient power grid management, and power grid services. Systems are in place to realize these efforts, and the systems created allow for better effectiveness. When implementing a system, systems engineering methodology helps design a more systematic system and can provide verification accuracy and uniformity through intuitive connectivity. In this paper, the original requirements of the power grid stabilization system and the architecture of the system's essential constraints are constructed as a conceptual model and the boundaries and flows between components are defined. By utilizing distributed resources such as EV(Electric Vehicle) and ESS(Energy Storage System) in the power service platform system, we plan to design and build a next-generation power service system that can participate in the power stabilization market and implement a system necessary to respond to climate change in the future.

• Korean Journal of Agricultural and Forest Meteorology
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• v.8 no.4
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• pp.242-249
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• 2006

Potential impacts of the future climate change on crop production can be inferred by crop simulations at a landscape scale, if the climate data may be provided at appropriate spatial scales. Northern Gyunggi Province is one of the few prospective regions in South Korea for growing quality soybeans. Any geographical shift of production areas under the changing climate may influence the current land planning policy in this region. A soybean growth simulation was performed at 342 land units in northern Gyunggi province to test the potential geographical shift of the current production areas for quality soybeans in the near future (form 2011 to 2100). The land units for soybean cultivation were selected by the land use, the soil characteristics, and the minimum arable land area. Daily maximum and minimum temperature, precipitation, the number of rain days and solar radiation were extracted for each land unit from the future digital climate models (DCM, 2011-2040, 2041-2070, 2071-2100). Daily weather data for 30 years were randomly generated for each land unit for each normal year by using a well-known statistical method. They were used to run CROPGRO-Soybean model to simulate the growth, phonology, and yields of 3 cultivars representing different maturity groups grown at 342 land units. According to the model calculations, the warming trend in this region will accelerate the flowering and physiological maturity of all cultivars, resulting in a 7 to 9 days reduction in overall growing season and a 1 to 15% reduction in grain yield of early to medium maturity cultivars. There was a slight increase in grain yield of the late maturing cultivar under the projected climate by 2070, but a decreasing tend was dominant by the year 2100.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.257-265
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• 2021

This study analyzed the influence of career-education on job satisfaction in the multicultural family service centers focused on the mediating effects of multicultural practice competence and organizational climate. A self-reported questionnaire survey was done on 180 multicultural practitionser in Seoul and Kyunggi Do. A total of 175 copies were used for final analysis with ones insincerely made were excluded. Collected date underwent Multivariate structural equation model analysis using AMOS 21.0 and frequency, descriptive, and corelation analysis were made using SPSS 20.0. Statistical program. The study results revealed that career-education directly affect organizational climate and multicultural practice competence, and organizational climate directly affected job satisfaction. Career education did not affect job satisfaction, but organizational climate had complete mediating effect in the structural equation model. Additionally multicultural practice competence didn't have an effect on job satisfaction and mediating effect in the structural equation model. Based on the results, intervention strategies to increase job satisfaction of multicultural practitioners and future study implications were suggested.

• The Korean Journal of Health Service Management
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• v.10 no.3
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• pp.27-37
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• 2016

Objectives : This study was conducted to test the influence of job stress and calling on the organizational commitment of clinical nurses. Methods : 220 clinical nurses at two university hospitals in Busan were recruited. They were asked to complete a questionnaire, and 192 data sets were included in the statistical analysis. Results : The mean score of the clinical nurses' organizational commitment was 4.0. All subdomains of job stress and calling were found to have correlations with organizational commitment. The organizational system (t=-6.099, p<.001), lack of reward (t=-3.990, p<.001), purpose/meaningfulness (t=3.624, p<.001), and occupational climate (t=-3.581, p<.001) were revealed to have influences on the organizational commitment. The model was statistically significant, explaining 52.2% of the variance (F=47.808, p<.001). Conclusions : To help clinical nurses become committed to their organizations, administrators need to build fair and rational organizational systems, strengthen various types of rewards, and help nurses reconcile nursing and the meaning of their lives. In addition, every nurse should endeavor to change the nursing organizational climate which is based on vertical collectivism, to a rational climate.

• KIEAE Journal
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• v.15 no.2
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• pp.27-35
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• 2015

Purpose: Healthcare is on the whole a personal and critical service that consumer's use, whereas hospitalization is as a rule painful, because nature nurtures and Sun Light Luminosity for healthcare settings is considered healing. The performance and design of climate responsive buildings such as AKU requires a detailed study of attributes of climate both at micro as well as macro level. The therapeutic value of contact with nature through window view, greenery and landscape is calculated there. Method: A two prong strategy is been devised for this article, at micro level three typical morphologies are analysed by creating same environment of neighboring building on sun shading chart, radiation and temperature range. Since the analysis of local climate helps to determine the design strategies for hospital Healing Environment which is suitable for Karachi climate; in order to track the macro climatic behaviour, a considerable analysis of psychometrics chart for AKU Karachi are designed on Climate Consultant (CC) and analysed by Machine Learning. Climate Consultant proposes different design strategies suitable for Karachi. And on the other hand time wise illumination sources for clinical area which are then measured on psychrometric chart- according to singular space: multi patient admission, secondly: acute ambulatory ward, and tertiary: multi windowed space according to the mushrabiyah and sky light pattern. Result: Our findings support the hypothesis that windowed wall is 75-80% more healing wall; an accelerated evidence was found for healing at macro level if the form of the hospital is designed according to the climatologically preferences, whereas at micro level: the light resource becomes the staff attentiveness determinant. In Conclusion evidence was provided that the actual form of luminosity results consequently in satisfaction while light entering from several set of windows and other sources might be valued if design according to the healing environment. The data added on the sun shading chart to calculate rays entraining into space in patient room equal to 124416.21 Watts/ meter $m^2$ is calculated as precise healing rate-and is confirmed by questionnaire from patients belonging from each clinical stage having different illnesses.

• Journal of Climate Change Research
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• v.5 no.2
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• pp.139-151
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• 2014

It is increasingly supported by scientific evidence that greenhouse gas caused by human activities is changing the global climate. In particular, the changing climate has affected human health, directly or indirectly, and its adverse impacts are estimated to increase in the future. In response, many countries have established and implemented a variety of mitigation and adaptation measures. However, it is significant to note that climate change will continue over the next few centuries and its impacts on human health should be tackled urgently. The purpose of this paper is to examine domestic policies and research in health sector in adaptation to climate change. It further aims to recommend future research directions for enhanced response to climate change in public health sector, by reviewing a series of adaptation policies in the selected countries and taking into account the general features of health adaptation policies. In this regard, this study first evaluates the current adaptation policies in public health sector by examining the National Climate Change Adaptation Master Plan(2011~2015) and Comprehensive Plan for Environment and Health(2011~2020) and reviewing research to date of the government and relevant institutions. For the literature review, two information service systems are used: namely, the National Science and Technology Information Service(NTIS) and the Policy Research Information Service & Management(PRISM). Secondly, a series of foreign adaptation policies are selected based on the global research priorities set by WHO (2009) and reviewed in order to draw implications for domestic research. Finally, the barriers or constraints in establishing and implementing health adaptation policies are analyzed qualitatively, considering the general characteristics of adaptation in the health sector to climate change, which include uncertainty, finance, technology, institutions, and public awareness. This study provides four major recommendations: to mainstream health sector in the field of adaptation policy and research; to integrate cross-sectoral adaptation measures with an aim to the improvement of health and well-being of the society; to enhance the adaptation measures based on evidence and cost-effectiveness analysis; and to facilitate systemization in health adaptation through setting the key players and the agenda.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3D
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• pp.213-222
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• 2012

After enforcing 2007 semi-public management system of intra-city bus, Busan city has tried to promote the bus utilization through bus service improvements. As an effort for this, we attempted to clarify the main factors affecting to bus service satisfaction targeting intra-city bus users. In this study, 20 subcategories of intra-city bus service were assorted into 6 factors: Basic Service, Safe Driving, Route Information, Comfort, Cleanliness and Facilities, then the preference for each detailed bus service were analyzed. And the effects for bus service satisfaction were shown under the various conditions according to the general characteristics of intra-city bus users (gender, age), behavioral traffic characteristics (frequency of use, boarding time) and transportation environments (temperature, rainfall). These results would be important basic data for decision-making in bus policy for climate change and establishment of operating plan for bus utilization.

• Korean Journal of Plant Resources
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• v.30 no.2
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• pp.167-175
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• 2017

We conducted a total of 28 surveys from March to October 2016 in Gayasan National Park, to identify threatened plants for climate change, as well as for the effective management of biological organisms and resources against climate changes in Korea. Regarding threatened plants for climate change, we identified a total of 39 taxa, with 11 northern, 2 southern, and 26 taxa of concern. Among these taxa, 33 were identified as wild species. The species threatened by climate change located in the subalpine regions of Gayasan National Park were Abies holophylla Maxim., Abies koreana Wilson, Pinus koraiensis Siebold & Zucc., Betula ermanii Cham., Berberis amurensis Rupr., Rhododendron tschonoskii Maxim., Vaccinium hirtum var. koreanum (Nakai) Kitam., Primula modesta var. hannasanensis T.Yamaz., Trientalis europaea var. arctica (Fisch.) Ledeb., Thymus quinquecostatus Celak., Parasenecio firmus (Kom.) Y.L.Chen, and Lilium cernuum Kom. These species are expected to be particularly vulnerable to the effects of global warming, since they were confirmed to have a very narrow vertical distribution range. Moreover, although the following species are not included in the list of plants threatened by climate change, it is assumed that the endemic species that grow at the summit, and Grade V floristics special plants, such as Pedicularis hallaisanensis Hurus., Allium thunbergii var. deltoides (S.O.Yu, S.Lee & W.Lee) H.J.Choi & B.U.Oh, Heloniopsis tubiflora Fuse, N.S.Lee & M.N. Tamura, Aletris glabra Bureau & Franch, and Gymnadenia cucullata (L.) Rich., will also be extremely vulnerable to climate change. Therefore, we believe that measures for the conservation of these species are urgently needed, and also that the definition of species threatened by climate change should be broadened to include more objective and valid taxa through the long-term monitoring of species distributed around the summit area.