• Title/Summary/Keyword: climate change response

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EU Smart City Demonstration and Expansion by the Lighthouse Project (EU 라이트하우스 프로젝트 분석을 통한 스마트시티 실증과 확산을 위한 시사점 도출)

  • Jung, Seung-Hyun;Kim, Min-Ju
    • Land and Housing Review
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    • v.12 no.2
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    • pp.1-12
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    • 2021
  • The purpose of this study is to provide implications for the demonstration and the spread of smart cities. For this, the European Lighthouse project, a well-known smart city initiative, is analyzed. This article investigates agendas, applied solutions, stakeholders and cooperation, and expansion strategies in the 18 Lighthouse projects implemented by the EIP-SCC Smart City Demonstration Project. Four implications are discussed for Korean smart city projects. First, in promoting smart cities, clear philosophies and principles should be established in response to global issues such as climate change. Second, smart cities should be understood as the approaches for problem-solving rather than simply applying advanced technology. Third, a business system should be established in a way to meet the needs of the actors participating in the smart city demonstration project. Finally, an evaluation framework should be established to verify the performance of the project. High-performing best-practice projects should be supported by articulating their standards for their lessons to be spread into other cities. The implications presented here can contribute to developing smart city models along with follow-up studies.

Current Situations and Prospects on the Cultivation Program of Tropical and Subtropical Crops in Korea (국외 도입 열대·아열대 작물의 국내 재배실태 및 과제)

  • Kim, Chang-Yung;Kim, Young-Ho;Han, Sin-Hee;Ko, Ho-Cheol
    • Korean Journal of Plant Resources
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    • v.32 no.1
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    • pp.45-52
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    • 2019
  • In the process of adapting climate change, the government needs to provide policy and technical support necessary for growing promising crops imported from abroad. Therefore, this study was conducted to survey and analyze the conditions of growth of imported foreign crops and to derive response tasks. As a result, tropical and subtropical vegetables were cultivated 18 crops in 920 farms in 321 ha area (in 2015 year). The cultivation scale decreased in the order of Curcuma aromatica, Momordica charantia, Asparagus aethiopicus, Allium hookeri and Herbs. Tropical and subtropical fruits were cultivated 9 crops in 264 farms in 106.5 ha area (in 2015 year). Special and medicinal crops introduced abroad cultivated 10 crops in 753 farms in 276.3 ha area (in 2015 year). The cultivation scale decreased in the order of Curcuma longa, Glycyrrhiza uralensis, Lepidium meyenii and Moringa oleifera. For the stable settlement of domestic growth of tropical and subtropical crops introduced abroad, there should be safety and economic feasibility in terms of the cultivation environment according to the domestic culture adaptation test. Consideration needs to be given to the use of locally grown products in Korea, the securing of distribution and sales markets, and the competitiveness of imported products.

An Analysis for Influencing Factors in Purchasing Electric Vehicle using a Binomial Logistic Regression Model (Focused on Suwon City) (이항로지스틱 회귀모형을 이용한 전기차 구매 영향요인 분석 (수원시를 중심으로))

  • Kim, Sukhee;Jeong, Gahyung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.6
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    • pp.887-894
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    • 2018
  • An electric vehicle is emerging as an alternative to the response of global climate change and sustainability. However, an Electric vehicle has not been popular due to the constraints such as its price or technical limitations. In order to analyze the effect of purchasing electric vehicles, this study conducted a binary logistic regression model that demonstrates the relation between purchasing and influencing variables. Variables which have high correlation were excluded from the model through the correlation analysis to prevent multicollinearity. Socio-economic variables such as the number of owned vehicles, sex, ages are not significant. On the other hand, Variables related to prices, charging and policy are found to have a significant to effect on the purchase of electric vehicles. In accordance with the model estimated result, it seems to be necessary to improve the charging incentives, or to provide electric car information and to expand opportunities for experience electric vehicles. The result is also expected to be helpful for spreading electric vehicles and formulating policies.

Statistical Analysis of Termite Damage and Environmental Characteristics of the Josadang Shrine in Seonamsa Temple (선암사 조사당의 흰개미 피해 및 환경 특성 통계 분석)

  • Lim, Bo A;Kim, Myoung Nam;Kim, Young Hee;Lee, Jeung Min;Jo, Chang Wook;Jeong, So Young
    • Journal of Conservation Science
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    • v.35 no.3
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    • pp.197-208
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    • 2019
  • Biological damages of wooden cultural properties are closely related to the preservation of the environment; these damages can be accelerated because of rapid climate change. Therefore, to preserve cultural properties, it is important to understand environmental characteristics. This study aims to investigate the status of termite damage and the characteristics of major environmental factors such as micro-meteorology, meso-meteorology, and local-meteorology of the Josadang shrine in the Seonamsa temple at Suncheon. Damage was confirmed by visual observation and the response of the termite detection dog at the north-west corner. Also another damage was observed by the termite detection dog at the north-east corner. These pillars had lower surface temperature and higher moisture content compared with the pillars in the front. The mean temperature of the entire time was similar for the meteorologies; however, the relative humidity differed. High relative humidity, greater than 70%, was observed frequently. In particular, it was determined that the termite activity days were the most inside the Josadang shrine. The statistical analysis confirmed that there was a difference between the meteorology events through the F ratio. In addition, the difference of environmental factors with relative humidity and temperature was identified more great difference in relative humidity through the t-statistics of temperature and relative humidity. And then relative humidity was confirmed most great in the difference of meso-meteorology and local-meteorology.

Meaning and Value Analysis of Records of Laos Renewable Energy Support Activities Collection (라오스 재생가능에너지 지원활동 컬렉션의 의미와 가치 연구)

  • Ju, Hyun Mi;Yim, Jin Hee
    • The Korean Journal of Archival Studies
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    • no.51
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    • pp.45-87
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    • 2017
  • In recent years, there were some who have conducted research on deriving the social and historical meanings of records through the analysis of specific records collections. This trend is an attempt to pay attention to human actions in the society and to read the society again through the records created by such actions. In this study, I derive various meanings and values of these records through the analysis of the "Laos Renewable Energy Support Activities" collection. Moreover, I study how the collection was reconstructed by the Human and Memory Archives. The "Laos Renewable Energy Support Activities" is the personal record of the donor who led the project, and contains the process and results of the project. Through this collection, I was able to look at the life of the donor as a foreign aid activist in Laos and realized his values. Furthermore, through the business process record, I was able to discover the implications of climate change response overseas aid projects. In addition, I was able to look at the culture and environment of Laos through the eyes of the donor who has been residing there for a long time.

Wind power forecasting based on time series and machine learning models (시계열 모형과 기계학습 모형을 이용한 풍력 발전량 예측 연구)

  • Park, Sujin;Lee, Jin-Young;Kim, Sahm
    • The Korean Journal of Applied Statistics
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    • v.34 no.5
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    • pp.723-734
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    • 2021
  • Wind energy is one of the rapidly developing renewable energies which is being developed and invested in response to climate change. As renewable energy policies and power plant installations are promoted, the supply of wind power in Korea is gradually expanding and attempts to accurately predict demand are expanding. In this paper, the ARIMA and ARIMAX models which are Time series techniques and the SVR, Random Forest and XGBoost models which are machine learning models were compared and analyzed to predict wind power generation in the Jeonnam and Gyeongbuk regions. Mean absolute error (MAE) and mean absolute percentage error (MAPE) were used as indicators to compare the predicted results of the model. After subtracting the hourly raw data from January 1, 2018 to October 24, 2020, the model was trained to predict wind power generation for 168 hours from October 25, 2020 to October 31, 2020. As a result of comparing the predictive power of the models, the Random Forest and XGBoost models showed the best performance in the order of Jeonnam and Gyeongbuk. In future research, we will try not only machine learning models but also forecasting wind power generation based on data mining techniques that have been actively researched recently.

An Analysis of the Relative Importance of Park Services for User-Oriented Smart Park Development (이용자 중심의 스마트공원 조성을 위한 공원서비스의 상대적 중요도 분석)

  • Lee, Ju-Yong;Lee, Hyung-Sook
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.4
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    • pp.55-63
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    • 2021
  • Interest in smart parks has been increasing due to the recent rapid rise of smart cities, but concerns are growing over the development of technology-oriented smart parks. The purpose of this study is to evaluate the relative importance of park services through Focus Group Interviews and the Analytic Hierarchy Process (AHP) to develop user-oriented smart parks in the future. To this end, literature on park functions and services was reviewed, and interviews with experts in the field of landscape architecture and IT were conducted to derive service items. The AHP model consisted of four values, and 15 park services were established and used to survey 38 landscape experts. As a result, services for improving the park's essential functions, such as contact with nature, relaxation, and exercise-walking, were deemed important. Services related to the environment and safety in response to climate change, such as the amelioration of pollution and heatwaves were also high. The importance of social integration services was relatively low, but it was considered an important service to when enhancing community participation. Future smart parks should enhance the health benefits of contact with nature rather than implementing excessive artificial facilities and technology. Additionally, smart technology will need to be applied based on users' needs while reflecting local characteristics. Efforts should be made to enhance user intimacy and improve the understanding of smart parks by strengthening public relations education.

Ventilation Corridor Characteristics Analysis and Management Strategy to Improve Urban Thermal Environment - A Case Study of the Busan, South Korea - (도시 열환경 개선을 위한 바람길 특성 분석 및 관리 전략 - 부산광역시를 사례로 -)

  • Moon, Ho-Yeong;Kim, Dong-Pil;Gweon, Young-Dal;Park, Hyun-Bin
    • Korean Journal of Environment and Ecology
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    • v.35 no.6
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    • pp.659-668
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    • 2021
  • The purpose of this study is to propose a ventilation corridor management plan to improve the thermal environment for Busan Metropolitan City. To this end, the characteristics of hot and cool spots in Busan were identified by conducting spatial statistical analysis, and thermal image data from Landsat-7 satellites and major ventilation corridors were analyzed through WRF meteorological simulation. The results showed the areas requiring thermal environment improvement among hot spot areas were Busanjin-gu, Dongnae-gu, industrial areas in Yeonje-gu and Sasang-gu, and Busan Port piers in large-scale facilities. The main ventilation corridor was identified as Geumjeongsan Mountain-Baekyangsan Mountain-Gudeoksan Mountain Valley. Based on the results, the ventilation corridor management strategy is suggested as follows. Industrial facilities and the Busan Port area are factors that increase the air temperature and worsen the thermal environment of the surrounding area. Therefore, urban and architectural plans are required to reduce the facility's temperature and consider the ventilation corridor. Areas requiring ventilation corridor management were Mandeok-dong and Sajik-dong, and they should be managed to prevent further damage to the forests. Since large-scale, high-rise apartment complexes in areas adjacent to forests interfere with the flow of cold and fresh air generated by forests, the construction of high-rise apartment complexes near Geumjeongsan Mountain with the new redevelopment of Type 3 general residential area should be avoided. It is expected that the results of this study can be used as basic data for urban planning and environmental planning in response to climate change in Busan Metropolitan City.

Estimation of Groundwater Quality and Background Level in Boseong Area, South Korea (보성지역 지하수의 배경 수질 및 오염 특성 분석)

  • Moon, Sang-Ho;Lee, Jinwon;Kim, Kangjoo;Ju, Jeong-woung
    • Economic and Environmental Geology
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    • v.55 no.1
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    • pp.29-43
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    • 2022
  • The groundwater quality in Boseong area was characterized and their background concentrations were estimated based on the chemical data obtained from 200 groundwater samples collected during July 2019. Groundwater data were classified into two groups: Group 1 with NO3- < 44.3 mg/L and Group 2 with NO3- ≥ 44.3 mg/L. Results of t-tests indicate that groundwaters in Group 2 are significantly higher in water temperature and Ca concentration and significantly lower in F, As, Pb and Zn concentrations. It was also revealed that groundwaters Group 2 are closely linked to low pH, alkalinity, NH4, NO2, F, As, Fe, Mn, Pb and Zn levels, and high EC and water temperature. Background concentrations were estimated using the the BRIDGE method. The results depicted the higher levels in NO3, NH4, PO4, As, Fe, Mn than the ones estimated by MOE and KECO (2018; 2019), which were prepared for the three catchment units in Boseong. The results of this study are believed to have more reliability because more data were used.

Technology Trends of Smart Abnormal Detection and Diagnosis System for Gas and Hydrogen Facilities (가스·수소 시설의 스마트 이상감지 및 진단 시스템 기술동향)

  • Park, Myeongnam;Kim, Byungkwon;Hong, Gi Hoon;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.26 no.4
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    • pp.41-57
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    • 2022
  • The global demand for carbon neutrality in response to climate change is in a situation where it is necessary to prepare countermeasures for carbon trade barriers for some countries, including Korea, which is classified as an export-led economic structure and greenhouse gas exporter. Therefore, digital transformation, which is one of the predictable ways for the carbon-neutral transition model to be applied, should be introduced early. By applying digital technology to industrial gas manufacturing facilities used in one of the major industries, high-tech manufacturing industry, and hydrogen gas facilities, which are emerging as eco-friendly energy, abnormal detection, and diagnosis services are provided with cloud-based predictive diagnosis monitoring technology including operating knowledge. Here are the trends. Small and medium-sized companies that are in the blind spot of carbon-neutral implementation by confirming the direction of abnormal diagnosis predictive monitoring through optimization, augmented reality technology, IoT and AI knowledge inference, etc., rather than simply monitoring real-time facility status It can be seen that it is possible to disseminate technologies such as consensus knowledge in the engineering domain and predictive diagnostic monitoring that match the economic feasibility and efficiency of the technology. It is hoped that it will be used as a way to seek countermeasures against carbon emission trade barriers based on the highest level of ICT technology.