• Title/Summary/Keyword: impacts

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A stratified random sampling design for paddy fields: Optimized stratification and sample allocation for effective spatial modeling and mapping of the impact of climate changes on agricultural system in Korea (농지 공간격자 자료의 층화랜덤샘플링: 농업시스템 기후변화 영향 공간모델링을 위한 국내 농지 최적 층화 및 샘플 수 최적화 연구)

  • Minyoung Lee;Yongeun Kim;Jinsol Hong;Kijong Cho
    • Korean Journal of Environmental Biology
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    • v.39 no.4
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    • pp.526-535
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    • 2021
  • Spatial sampling design plays an important role in GIS-based modeling studies because it increases modeling efficiency while reducing the cost of sampling. In the field of agricultural systems, research demand for high-resolution spatial databased modeling to predict and evaluate climate change impacts is growing rapidly. Accordingly, the need and importance of spatial sampling design are increasing. The purpose of this study was to design spatial sampling of paddy fields (11,386 grids with 1 km spatial resolution) in Korea for use in agricultural spatial modeling. A stratified random sampling design was developed and applied in 2030s, 2050s, and 2080s under two RCP scenarios of 4.5 and 8.5. Twenty-five weather and four soil characteristics were used as stratification variables. Stratification and sample allocation were optimized to ensure minimum sample size under given precision constraints for 16 target variables such as crop yield, greenhouse gas emission, and pest distribution. Precision and accuracy of the sampling were evaluated through sampling simulations based on coefficient of variation (CV) and relative bias, respectively. As a result, the paddy field could be optimized in the range of 5 to 21 strata and 46 to 69 samples. Evaluation results showed that target variables were within precision constraints (CV<0.05 except for crop yield) with low bias values (below 3%). These results can contribute to reducing sampling cost and computation time while having high predictive power. It is expected to be widely used as a representative sample grid in various agriculture spatial modeling studies.

Effects of Rice Straw Compost Application on Soil Chemical Properties and Soil Organic Carbon Stock in Paddy Fields (볏짚퇴비 사용이 논토양의 화학성 및 유기탄소 축적에 미치는 영향)

  • Ji-Eun Byeon;Seong Heon Kim;Jae Hong Shim;Sang Ho Jeon;Yun Hae Lee;Soon Ik Kwon
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.68 no.2
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    • pp.90-96
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    • 2023
  • The aim of this study was to investigate the effect of application rate of rice straw compost on soil chemical properties and soil organic carbon stock (SOC stock). The experiments were performed with no fertilizer (NF), inorganic fertilizer (NPK), NPK + rice straw compost 7.5 ton ha-1 (NPKC7.5), NPK + rice straw compost 15 ton ha-1 (NPKC15), NPK + rice straw compost 22.5 ton ha-1 (NPKC22.5), and NPK + rice straw compost 30 ton ha-1 (NPKC30). The SOC and SOC stock were highest in the NPKC30 treatment at 22.8 g kg-1 and 71.2 Mg C ha-1, respectively. Rice production was in the range of 621.2-654.4 kg 10a-1 in NPKC22.5 and NPKC30 treatments, which was higher than that in the NPK treatment. However, with increase in compost application, the exchangeable K and Ca of the soil increased, and the exchangeable K and Ca were higher than the optimum range in NPKC22.5 and NPKC30 treatments. Excessive application of compost can have negative impacts on the environment, including nutrient accumulation in the soil and water pollution from nutrient runoff. Therefore, applying the standard amount of compost according to the agricultural environment would be appropriate, despite the relatively lower rice production and SOC stock than that observed with the application of 22.5 and 30 ton ha-1.

Comparative Analysis of Growth, Yield, and Grain Quality of Hulled Barley Grown Under Different Meteorological Conditions in South Korea (기후분포가 다른 재배지에서 생장한 겉보리 생육, 수량 및 품질 비교)

  • Hyun-Hwa Park;Hyo-Jin Lee;Ye-Guon Kim;Dea-Wook Kim;Yong-In Kuk
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.68 no.2
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    • pp.69-80
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    • 2023
  • This study investigated the differences in barley growth at different growth stages (Dec, Feb, and Apr) and the yield at harvest in three groups (G1, G2, and G3) with different climates. Additionally, we measured meteorological differences between areas during the growing season to determine which factors were related to growth and yield differences. We evaluated the chemical composition of soil and the mineral content in leaves during the heading stages. We also recorded the main constituents, amino acids, and mineral compositions of barley seeds grown in different areas. Tiller number/m2 in G1 areas was higher than in G2 and G3 when measured before and after overwintering. However, tiller number/m2 and dry aboveground plant parts/m2 in G2 and G3 areas were higher than in G1. Regrowth, panicle formation, and heading days in G2 areas occurred slightly later than in G1 and G3. However, there was no difference in chlorophyll content (SPAD value) between groups. The yield in G1 areas was 9~15% less than in G1 and G3. The decrease in yield in G2 areas could be due to lower panicle number, spikelet number, and ripening rate. In addition, the decrease in yield in G2 areas is likely because maximum, minimum, and average daily temperatures during the growing season were lower than those in G1 and G3. However, mineral nutrients in the soil were higher in the G2 area than in G1 and G3. The overall mineral content in plants tended to be higher in G1 areas than in G2 and G3. Mineral content such as Cu, K, Mg, and P in G3 areas and crude protein and most amino acids in G2 areas tended to be relatively low compared to other areas. Thus, the G1 area may be suitable for barley cultivation without adverse impacts on barley yield, main constituents, amino acids, and mineral contents compared to the main producing areas in G3.

Local Cultural Ecosystem and Emerging Artists: A Study on Hindering Factors in Creative Activities of Young Artists in Gwangju by Adopting Creative Sector Holistic Model (지역문화생태계와 청년예술가 - Creative Sector Holistic Model을 적용한 광주 청년예술가들의 창작 활동 저해요인에 관한 연구 -)

  • Kim, Miyeon;Kim, InSul
    • Korean Association of Arts Management
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    • no.51
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    • pp.5-34
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    • 2019
  • This study is a qualitative study conducted to identify environmental factors that impede emerging artists' ongoing creative activities, focusing on the local cultural ecosystem that they are part of. By doing so, we tried to understand the dynamics between key stake holders in the ecosystem that these young artists interact with and how they build and perceive their own, local cultural environment. The central research question of this study is: what factors impede the continuous creative activities of young artists and what causes them to leave local art scenes? The research was conducted thoroughly on the basis of emerging artists' experience and perspectives and applied to Creative Sector Holistic Model for analysis. The data of this research were collected based on two national-funding projects to support young artists from 2016 to 2018. The main research method of this study was interviews: official and casual interviews were executed with 29 young artists aged 20-34 who work in the fields of painting, literature, sculpture, video, korean traditional music, visual design and crafts. For the analysis of the data, the Creative Sector Holistic Model(Wyszomirski, 2008), which had applied the ecological logic to the creative industries, was applied. The result of this study shows that economic difficulties were not the only hindering factor in their sustainable art-making process. Various impeding factors derived from the local cultural ecosystem have been identified within the Holistic Model, demonstrating that these factors are all intertwined and connected. Thus, analyzing and understanding one's local cultural ecosystem can provide keys to long-term and lasting impacts when a local authorities wish to support young artists for the future of local cultural environment.

The Impacts of Chinese Seaborne Trade Volume on The World Economy (중국 품목별 수출입이 세계 경제에 미치는 영향 실증분석)

  • Ahn, Young-Gyun;Lee, Min-Kyu
    • Korea Trade Review
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    • v.42 no.6
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    • pp.111-129
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    • 2017
  • According to the World Bank statistics, China's contribution to global economic growth during the year of 2013-2016 was estimated at 31.6 percent. This figure is even larger than 29.0 percent, the contribution by summing each contribution of the United States, EU and Japan. The Chinese commodity trade accounts for up to 11.5 percent of world trade volume. Thus, we can consider that the Chinese economy has a strong influence on the global economy. The primary purpose of this study is to analyze the contribution level of Chinese seaborne trade volume on world economy. First, this study conducted a time-lag analysis using Moran test, so we can find that China's level of contribution to global economic growth varies from time to time. The contribution of the first phase (1999-2007) was nearly three times higher than the contributions from the second phase (2008-2016), suggesting that the overall contraction of the global trade volume starting from the subprime mortgage crisis in 2008 has continued until recently and recovery has not even occurred. Second, using the econometrics model, this study conducted an regression analysis of the impact of Chinese imports and exports in chemicals, grain, steel, crude oil, and container on global economic growth. Fixed effects model with time series data has been applied to examine the effect of Chinese seaborne trade volume on global economic growth. According to the empirical analysis of this study, China's exports of steel products, exports of container, imports of containers, imports of crude oil and imports of grain have significant contributions to global economic growth. Estimates of China's exports of steel products, exports of container, imports of containers, imports of crude oil and imports of grain are 1.023, 1.020, 1.019, 1.007 and 1.006, respectively. For example, the estimated value 1.023 of China's exports of steel products means that the growth rate can be 1.023 times higher than the current world GDP growth rate if Chinese seaborne trade volume of exports of steel products increased by one unit (one million tons). This study concludes that the expansion of China's imports and exports should be realized first to increase the global GDP growth rate. The expansion of Chinese trade can lead to a simultaneous stimulus of production and consumption in China, which can even lead to global economic growth ultimately. Thus, depending on how much China's trade will be broaden in the future, the width of global economic growth can be determined.

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Case Analysis on Platform Business Models for IT Service Planning (IT서비스 기획을 위한 플랫폼 비즈니스 모델 사례 분석연구)

  • Kim, Hyun Ji;Cha, yun so;Kim, Kyung Hoon
    • Korea Science and Art Forum
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    • v.25
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    • pp.103-118
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    • 2016
  • Due to the rapid development of ICT, corporate business models quickly changed and because of the radical growth of IT technology, sequential or gradual survival has become difficult. Internet-based new businesses such as IT service companies are seeking for new convergence business models that have not existed before to create business models that are more competitive, but the economic efficiency of business models that were successful in the past is wearing off. Yet, as reaching the critical point where the platform value becomes extremely high for platforms via the Internet is happening at a much higher speed than before, platform-ization has become a very important condition for rapid business expansion for all kinds of businesses. This study analyzes the necessity of establishing platform business models in IT service planning and identifies their characteristics through case analyses of platform business models. The results derived features First, there is a need to ensure sufficient buyers and sellers, and second, platform business model should provide customers with distinctive value of the only platforms are generating. third, the common interests between platform-driven company and a partner, participants Should be existing. Fourthly, by expanding base of participants and upgrades, expansion of adjacent areas we must have a continuous scalability and evolution must be sustainable. While it is expected that the identified characteristics will cause tremendous impacts to the establishment of platform business models and to the graphing of service planning, we also look forward to this study serving as the starting point for the establishment of theories of profit models for platform businesses, which were not mentioned in the study, so that planners responsible for platform-based IT service planning will spend less time and draw bigger schemes in building planning drafts.

Trend Analysis of Vegetation Changes of Korean Fir (Abies koreana Wilson) in Hallasan and Jirisan Using MODIS Imagery (MODIS 시계열 위성영상을 이용한 한라산과 지리산 구상나무 식생 변동 추세 분석)

  • Minki Choo;Cheolhee Yoo;Jungho Im;Dongjin Cho;Yoojin Kang;Hyunkyung Oh;Jongsung Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.3
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    • pp.325-338
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    • 2023
  • Korean fir (Abies koreana Wilson) is one of the most important environmental indicator tree species for assessing climate change impacts on coniferous forests in the Korean Peninsula. However, due to the nature of alpine and subalpine regions, it is difficult to conduct regular field surveys of Korean fir, which is mainly distributed in regions with altitudes greater than 1,000 m. Therefore, this study analyzed the vegetation change trend of Korean fir using regularly observed remote sensing data. Specifically, normalized difference vegetation index (NDVI) from Moderate Resolution Imaging Spectroradiometer (MODIS), land surface temperature (LST), and precipitation data from Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievalsfor GPM from September 2003 to 2020 for Hallasan and Jirisan were used to analyze vegetation changes and their association with environmental variables. We identified a decrease in NDVI in 2020 compared to 2003 for both sites. Based on the NDVI difference maps, areas for healthy vegetation and high mortality of Korean fir were selected. Long-term NDVI time-series analysis demonstrated that both Hallasan and Jirisan had a decrease in NDVI at the high mortality areas (Hallasan: -0.46, Jirisan: -0.43). Furthermore, when analyzing the long-term fluctuations of Korean fir vegetation through the Hodrick-Prescott filter-applied NDVI, LST, and precipitation, the NDVI difference between the Korean fir healthy vegetation and high mortality sitesincreased with the increasing LST and decreasing precipitation in Hallasan. Thissuggests that the increase in LST and the decrease in precipitation contribute to the decline of Korean fir in Hallasan. In contrast, Jirisan confirmed a long-term trend of declining NDVI in the areas of Korean fir mortality but did not find a significant correlation between the changes in NDVI and environmental variables (LST and precipitation). Further analyses of environmental factors, such as soil moisture, insolation, and wind that have been identified to be related to Korean fir habitats in previous studies should be conducted. This study demonstrated the feasibility of using satellite data for long-term monitoring of Korean fir ecosystems and investigating their changes in conjunction with environmental conditions. Thisstudy provided the potential forsatellite-based monitoring to improve our understanding of the ecology of Korean fir.

The Study on the Application Plan of democratic citizenship education for Christian Education in the era of Climate Crisis (기후 위기 시대에 기독교 교육을 위한 민주시민교육의 적용방안)

  • Jang-Heum Ok
    • Journal of Christian Education in Korea
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    • v.74
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    • pp.7-31
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    • 2023
  • The climate crisis threatens Earth's ecosystems and biodiversity. In particular, it can be said that the cause of the global crisis began with human greed. An educational alternative is needed to change the Christian worldview that causes greed. The purpose of this study is to find ways to apply democratic citizenship education to Christian education as an alternative to overcome the climate crisis. The contents of the study to achieve the purpose were first the essence of Christian citizenship education was examined by dividing it into citizenship education, democratic citizenship education, and Christian citizenship education. Second, The model of democratic citizenship education was established by defining its goals, content, methods, and directions within the context of Christian citizenship education. Third, the application plan of Christian education for democratic citizenship education was classified into 7 categories and proposed; environmental education to overcome the climate crisis, ethical education to restore the public role of the church, education to form God's character, education to realize the village education community, education that promotes Christ's peace and Christ education that fosters consideration for multicultural individuals, and literacy education to prevent the negative impacts of digital media culture. Next, the plan to apply democratic citizenship education to Christian education is, first, to reduce human greed and restore God's creation order through environmental education that can overcome the climate crisis. Second, through ethics education to restore the church's public nature, it is necessary to restore the church's role for the church's moral empathy and publicity. Third, through the education that forms the God's character, it is necessary to form a mature character of faith in which personality and faith are harmonious and balanced. Fourth, schools, villages, and churches form a community through education that realizes a village education community so that the members of the village can obtain educational results. Fifth, through education that aims for the peace of the God Christians should be able to live as Christian democratic citizens who achieve peace in the kingdom of God. Sixth, through education that considers multicultural people, faith education that helps them overcome discrimination, exclusion, and hatred toward multicultural people with the love of Jesus Christ and seek a life of coexistence. Seventh, through literacy education that prevents the harmful effects of digital media culture, personal ability to read and write in media should ultimately be improved to the ability to practice socially.

A Performance Comparison of Land-Based Floating Debris Detection Based on Deep Learning and Its Field Applications (딥러닝 기반 육상기인 부유쓰레기 탐지 모델 성능 비교 및 현장 적용성 평가)

  • Suho Bak;Seon Woong Jang;Heung-Min Kim;Tak-Young Kim;Geon Hui Ye
    • Korean Journal of Remote Sensing
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    • v.39 no.2
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    • pp.193-205
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    • 2023
  • A large amount of floating debris from land-based sources during heavy rainfall has negative social, economic, and environmental impacts, but there is a lack of monitoring systems for floating debris accumulation areas and amounts. With the recent development of artificial intelligence technology, there is a need to quickly and efficiently study large areas of water systems using drone imagery and deep learning-based object detection models. In this study, we acquired various images as well as drone images and trained with You Only Look Once (YOLO)v5s and the recently developed YOLO7 and YOLOv8s to compare the performance of each model to propose an efficient detection technique for land-based floating debris. The qualitative performance evaluation of each model showed that all three models are good at detecting floating debris under normal circumstances, but the YOLOv8s model missed or duplicated objects when the image was overexposed or the water surface was highly reflective of sunlight. The quantitative performance evaluation showed that YOLOv7 had the best performance with a mean Average Precision (intersection over union, IoU 0.5) of 0.940, which was better than YOLOv5s (0.922) and YOLOv8s (0.922). As a result of generating distortion in the color and high-frequency components to compare the performance of models according to data quality, the performance degradation of the YOLOv8s model was the most obvious, and the YOLOv7 model showed the lowest performance degradation. This study confirms that the YOLOv7 model is more robust than the YOLOv5s and YOLOv8s models in detecting land-based floating debris. The deep learning-based floating debris detection technique proposed in this study can identify the spatial distribution of floating debris by category, which can contribute to the planning of future cleanup work.

The Effects of Self-Efficacy and Social Support on the Quality of Life of the Elderly with Depression (자기효능감과 사회적 지원이 우울증 노인의 삶의 질에 미치는 영향에 관한 연구)

  • Kang, Sun-Kyung
    • 한국노년학
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    • v.29 no.2
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    • pp.629-643
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    • 2009
  • The purpose of this study is, by using the demographic variables, to identify self-efficacy, social support, and quality of life of the elderly with depression and to assess the impacts of these factors upon their quality of life. By analyzing the factors which have an impact upon the life quality of the elderly with depression, this study aims to provide important information which help understand them, and to find out what kind of care is necessary for their happy and satisfactory life. The study took purposive sampling and survey of 215 people among the elderly with depression who were under care of the outpatient clinics, day hospitals, and mental health clinics located in Seoul and Kyunggi Province, Korea. This study was conducted from November 10th to 20th, 2008 and the data were collected using the questionnaires of self-efficacy, social support, and quality of life scales. Using a SPSS/WIN 15.0 program, the analysis of the data showed the following results. First, among the demographic characteristics, the elderly with depression who were male, had spouse, higher education, no public assistance, shorter period of depression, and were healthy turned out to have higher self-efficacy. In terms of social support, the participants who had higher education, no public assistance, and were healthy turned out to have more social support. Further, in terms of quality of life, the variables of spouse, public assistance, period of depression, and health condition were statistically significant. Second, as a result of hierarchical regression, it appeared that the elderly with depression, who had higher self-efficacy, more social support, spouse, good health, no public assistance, and shorter period of depression, turned out to have higher quality of life. Based on the study findings, the implications of social work practice, policy, and future research were discussed.