• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.197-197
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• 2012

본 연구에서는 대기 순환패턴 및 수문 환경변화에 영향을 미치는 주요인자인 El Ni$\tilde{n}$o-Southern Oscillation (ENSO)의 서로 다른 형태인 Warm-pool (WP) El Ni$\tilde{n}$o, Cold-tongue (CT) El Ni$\tilde{n}$o에 따른 한강유역의 봄철 (March~May)과 여름철 (June~August) 강수 및 유출의 특성을 분석하였다. 봄철 강수량의 경우, WP El Ni$\tilde{n}$o 시기에 증가추세를 보이며, 강수의 변동특성 또한 크게 나타났다. 여름철 강수량의 경우, CT El Ni$\tilde{n}$o 시기에는 평년보다 대체로 건조한 경향을 보이나, WP El Ni$\tilde{n}$o 시기에는 유역 전체에서 습한 경향을 보였으며 강수의 변동성은 매우 작은 것으로 분석되었다. 봄철 유출량의 경우, CT El Ni$\tilde{n}$o 시기와 WP El Ni$\tilde{n}$o 시기에 모두 평년치보다 크게 나타났으며, WP El Ni$\tilde{n}$o 시기에 한강 남부 대부분 유역에서 유출량이 통계적으로 유의한 증가 경향을 보였다. 여름철 유출량의 경우, CT El Ni$\tilde{n}$o 시기에는 대부분 유역에서 평년치보다 감소하나 수문 변량의 변동성은 큰 것으로 분석되었다. WP El Ni$\tilde{n}$o 시기에는 거의 모든 유역에서 유출이 증가하는 것으로 나타났으며, 특히 13개 중권역에서는 유출의 변동성이 작고 통계적으로 유의한 증가패턴이 분석되었다. 따라서 본 연구는 서로 다른 두가지 형태의 El Ni$\tilde{n}$o패턴에 대하여 한강유역의 봄철과 여름철 수자원 변동성에 민감하게 영향을 미치고 있음을 확인하였으며 수자원의 효율적인 예측 및 관리와 안정적인 용수공급을 위한 수문기상인자와 수문자료간의 관계 규명에 유용하게 활용될 것으로 기대한다.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.115-130
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• 2021

This study is to study the overall structural relationship between work-life balance(WLB), superior trust, workplace happiness, and organizational commitment. The goal of this study is to study how WLB and superior trust affect workplace happiness, how workplace happiness affects organizational commitment, and the mediating effect of workplace happiness. Survey data were collected from incumbents working in large companies and SMEs, validity and reliability of research items were reviewed, and research hypotheses were tested using path analysis. As a result of testing the research hypothesis, WLB and superior trust have a positive (+) effect on workplace happiness, and workplace happiness has a positive (+) effect on organizational commitment. Also, job satisfaction plays a role as a partial parameter between WLB, superior trust, and organizational commitment. Based on the hypothesis test results, it was confirmed that the higher the level of WLB and superior trust, the higher the level of work satisfaction. Based on the research results, a plan was suggested for Korean corporate members to achieve workplace happiness and organizational commitment.

• Journal of Climate Change Research
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• v.1 no.2
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• pp.97-107
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• 2010

A forest project for the sequestration of carbon dioxide helps to reduce the concerntration of greenhouse gas in atmosphere and provides various co-benefits. A lot of forestry-based carbon offset programs have been developing for the purpose of CSR(Corporate Social Responsibility), voluntary GHG emission reduction, and regulatory context etc. in worldwide. We studied major characteristics - project type and criteria, additionality, credits, permanence, carbon accounting and monitoring, co-benefit - of advanced forest carbon offset programs. Also, we tried to comprehend the direction and basic elements to design a domestic program.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.5D
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• pp.579-585
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• 2009

In spite of the proven effectiveness of ramp metering system, it has not been successfully implemented in Korean setting. The purpose of this paper is to select target locations to introduce ramp metering into the Korean expressway system. For this, domestic standards to introduce ramp metering have been presented after reviewing those of the US. The major criteria are level of service (LOS), the existence of detour route, space for queue build-up and opened ramp. 15 different locations were selected and AHP has been used to make priority among them. Intuitively, the result of priority was in accordance with the congestion and traffic volume. The core results identified in this paper is expected to be used in different cities and expressway networks elsewhere.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4A
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• pp.343-352
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• 2010

Recently, many researchers have been carried out to estimate more controlled service life and long-term performance of carbonated concrete structures. Durability analysis and design based on probability have been induced to new concrete structures for design. This paper provides a carbonation prediction model based on the Fick's 1st law of diffusion using statistic data of carbonated concrete structures and the probabilistic analysis of the durability performance has been carried out by using a Bayes' theorem. The influence of concerned design parameters such as $CO_2$ diffusion coefficient, atmospheric $CO_2$ concentration, absorption quantity of $CO_2$ and the degree of hydration was investigated. Using a monitoring data, this model which was based on probabilistic approach was predicted a carbonation depth and a remaining service life at a variety of environmental concrete structures. Form the result, the application method using a realistic carbonation prediction model can be to estimate erosion-open-time, controlled durability and to determine a making decision for suitable repair and maintenance of carbonated concrete structures.

• Journal of Platform Technology
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• v.12 no.1
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• pp.67-76
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• 2024

Small and medium-sized enterprises play a fundamental role in the foundation of our country's industry and economy, and most technological innovations occur in small and medium-sized enterprises rather than large corporations. Technology development and innovation are the only way for small and medium-sized enterprises to survive in a fiercely competitive environment, so they focus on it, but interest and investment in technology protection tend to be stingy. As a result, industrial technology leakage accidents occur frequently, and it is difficult to meet improvement measures. When a leak occurs, digital evidence is required to prove criminal activity, but problems such as digital evidence being damaged or deleted due to management loopholes often occur. Therefore, through this study, we aim to design a digital evidence-based countermeasure depending on the type of technology leak accident. We will classify the types of technology leak incidents that actually occurred and study ways to secure digital evidence in the security environment of small and medium-sized businesses that operate internal information leak prevention solutions.

• The Journal of Bigdata
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• v.9 no.1
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• pp.127-140
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• 2024

This study investigated the impact of vehicle grade operation restrictions in green transportation areas on the concentration of fine particulate matter (PM2.5) year by year. The results indicate that these restrictions positively affected the reduction of PM2.5 levels. The green transportation area policy reduced vehicle emissions and encouraged the use of public and eco-friendly transportation, thereby improving air quality. A notable outcome was the decrease in PM2.5 concentrations, which is expected to positively impact the health of residents in urban areas. The study considered various factors and variables related to the effectiveness of the vehicle grade operation restrictions policy. It was determined that there is a need to discuss the implementation methods of the policy, regional characteristics, and other environmental factors. These findings provide important implications for managing fine particulate matter and urban planning, suggesting that reference materials and ongoing research will be necessary considering future urban sustainability.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.235-242
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• 2024

This study analyzes the development process of Environmental, Social, and Governance (ESG) policies in Korea and corporate response strategies, comparing them with cases from major countries. The results show that while Korea has established a basic framework for ESG policies through the K-ESG guidelines and plans for mandatory ESG disclosure, these policies lack the specificity and enforceability seen in major countries. In terms of corporate response, large companies are actively formulating ESG strategies, but strengthening ESG capabilities of small and medium-sized enterprises (SMEs) remains an urgent task. Industry-specific ESG strategies reflect the characteristics of each sector, such as carbon neutrality in manufacturing, expansion of responsible investment in finance, and enhanced data security in IT. This study suggests improving Korean ESG policies by enhancing the alignment of ESG disclosure standards with international norms, strengthening tailored support for SMEs, and developing industry-specific policies. For effective corporate ESG response, the study proposes strategic integration of ESG, enhanced communication with stakeholders, and improved ESG data management capabilities.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.1
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• pp.47-56
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• 2018

Providing high-quality meteorological observation data at sites that represent actual farming environments is essential for useful agrometeorological services. The Automated Agricultural Observing System (AAOS) of the Korean Meteorological Administration, however, has been deployed on lawns rather than actual farm land. In this study, we show the inaccuracies that arise in AAOS data by analyzing temporal and vertical variation and by comparing them with data recorded by the National Center for AgroMeteorology (NCAM) tower that is located at an actual farming site near the AAOS tower. The analyzed data were gathered in August and October (before and after harvest time, respectively). Observed air temperature and water vapor pressure were lower at AAOS than at NCAM tower before and after harvest time. Observed reflected shortwave radiation tended to be higher at AAOS than at NCAM tower. Soil variables showed bigger differences than meteorological observation variables. In August, observed soil temperature was lower at NCAM tower than at AAOS with smaller diurnal changes due to irrigation. The soil moisture observed at NCAM tower continuously maintained its saturation state, while the one at AAOS showed a decreasing trend, following an increase after rainfall. The trend changed in October. Observed soil temperature at NCAM showed similar daily means with higher diurnal changes than at AAOS. The soil moisture observed at NCAM was continuously higher, but both AAOS and NCAM showed similar trends. The above results indicate that the data gathered at the AAOS are inaccurate, and that ground surface cover and farming activities evoke considerable differences within the respective meteorological and soil environments. We propose to shift the equipment from lawn areas to actual farming sites such as rice paddies, farms and orchards, so that the gathered data are representative of the actual agrometeorological observations.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.5
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• pp.79-96
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• 2021

Green infrastructure planning represents landscape planning measures to reduce particulate matter. This study aimed to derive factors that may be used in planning green infrastructure for particulate matter reduction using text mining techniques. A range of analyses were carried out by focusing on keywords such as 'particulate matter reduction plan' and 'green infrastructure planning elements'. The analyses included Term Frequency-Inverse Document Frequency (TF-IDF) analysis, centrality analysis, related word analysis, and topic modeling analysis. These analyses were carried out via text mining by collecting information on previous related research, policy reports, and laws. Initially, TF-IDF analysis results were used to classify major keywords relating to particulate matter and green infrastructure into three groups: (1) environmental issues (e.g., particulate matter, environment, carbon, and atmosphere), target spaces (e.g., urban, park, and local green space), and application methods (e.g., analysis, planning, evaluation, development, ecological aspect, policy management, technology, and resilience). Second, the centrality analysis results were found to be similar to those of TF-IDF; it was confirmed that the central connectors to the major keywords were 'Green New Deal' and 'Vacant land'. The results from the analysis of related words verified that planning green infrastructure for particulate matter reduction required planning forests and ventilation corridors. Additionally, moisture must be considered for microclimate control. It was also confirmed that utilizing vacant space, establishing mixed forests, introducing particulate matter reduction technology, and understanding the system may be important for the effective planning of green infrastructure. Topic analysis was used to classify the planning elements of green infrastructure based on ecological, technological, and social functions. The planning elements of ecological function were classified into morphological (e.g., urban forest, green space, wall greening) and functional aspects (e.g., climate control, carbon storage and absorption, provision of habitats, and biodiversity for wildlife). The planning elements of technical function were classified into various themes, including the disaster prevention functions of green infrastructure, buffer effects, stormwater management, water purification, and energy reduction. The planning elements of the social function were classified into themes such as community function, improving the health of users, and scenery improvement. These results suggest that green infrastructure planning for particulate matter reduction requires approaches related to key concepts, such as resilience and sustainability. In particular, there is a need to apply green infrastructure planning elements in order to reduce exposure to particulate matter.