• Journal of Advanced Research in Ocean Engineering
• /
• 제4권3호
• /
• pp.105-114
• /
• 2018

In the past, traditional methods of research on ship maneuvering performance were estimated in calm waters. However, the course-keeping ability and the maneuvering performance of a ship can be influenced by the presence of waves. Therefore, it is necessary to understand the maneuvering behavior of a ship in waves. In this study, the force acting on a moving ship and a rudder behind the model ship will be performed in regular waves in Changwon National University (CWNU). In addition, the prediction force acting on the rudder in calm waters was carried out and compared with those of Computational Fluid Dynamics (CFD). Model test in regular wave was performed to predict the force acting on the ship and the rudder behind the model ship in various wave directions. The effects of wavelength and wave direction on hydrodynamic forces acting on the ship hull versus rudder angle is discussed.

• Water Engineering Research
• /
• 제6권4호
• /
• pp.169-178
• /
• 2005

Comprehensive assessment of ecological riparian zone is to analyze and evaluate the status of riparian zone ecosystem. The existing problem of the ecosystem can be found through the assessment. The AHP-FUZZY method used in the assessment is based on the hierarchy model of index, grade model of object, and attribution degree of index. Accordingly, the four models have been discussed and presented from the aspect of the stability, landscape, eco-health and eco-safety of riparian zone.

• Journal of Sport and Applied Science
• /
• 제7권2호
• /
• pp.13-19
• /
• 2023

Purpose: The purpose of this study is to provide directions and implications related to eco-friendly marketing and products of outdoor brand companies by empirically analyzing the influence of outdoor brand's eco-friendly activities on brand image and word of mouth. Research design, data, and methodology: In this study, a survey was conducted on those who have purchased outdoor brand products through the convenience sampling method, and a total of 470 effective samples were collected. Frequency analysis, reliability analysis, confirmatory factor analysis, and structural equation model analysis were conducted based on the collected data. Results: As a result of the analysis, first, it was found that eco-friendly marketing among the eco-friendly activities of outdoor brands did not have a positive effect on the brand image. Second, among the eco-friendly activities of outdoor brands, eco-friendly products were found to have a positive effect on the brand image. Third, it was found that the brand image had an effect on word of mouth intention. Conclusions: Academic and practical implications were discussed based on the research results that eco-friendly marketing of outdoor brands does not have a positive effect on brand image, eco-friendly products have a positive effect on brand image, and brand image affects word of mouth.

• 한국수자원학회논문집
• /
• 제54권9호
• /
• pp.681-692
• /
• 2021

식생 프로세스는 증발산 제어를 통해 강우 유출 프로세스에 상당한 영향을 미치지만, 개념적인 집중형 수문 모형에서는 거의 고려되지 않는다. 본 연구는 인공위성에서 원격으로 감지된 엽면적지수 자료를 표현하는 생태 모듈을 수문 분할 모듈에 통합하여 합천댐 유역에 대한 모형 성능을 평가하였다. 제안된 생태 수문 모형은 습윤 지역의 생태수문 프로세스를 더 잘 표현하기 위하여 크게 세 가지 주요한 특징을 가진다. 1) 식생의 성장률은 유역의 물 부족 스트레스에 의해 제약을 받는다. 2) 식생의 최대 성장은 유역 기후에 의한 에너지에 의해 제약을 받는다. 3) 식생과 대수층의 상호작용이 반영된다. 제안된 모형은 유역 단위의 수문 성분과 식생 동역학을 동시에 모의한다. SCEM 알고리즘에 의해 추정된 모형 매개변수를 이용한 검증 결과로부터 아래와 같은 발견할 수 있었다. 1) 엽면적지수와 하천유량 자료를 이용하여 생태수문모형의 매개변수를 추정하는 것이 생태 모듈이 없는 수문 모형과 비슷한 정확도 및 견고함으로 하천유량을 예측할 수 있다. 2) 필터링이 안된 원격으로 감지된 엽면적지수를 그대로 입력자료로 이용하는 것은 하천유량 예측에 도움이 안된다. 3) 통합된 생태수문모형은 엽면적지수의 계절적인 변동성에 대한 우수한 추정치를 제공할 수 있다.

• Journal of Ecology and Environment
• /
• 제36권1호
• /
• pp.73-83
• /
• 2013

The object of this study was to evaluate lotic ecosystem health using multiple eco-metric approaches such as water chemistry diagnosis, physical habitat health evaluations, and biological integrity modeling at 100 streams of four major watersheds. For the study, eight chemical water quality parameters such as nutrients (N, P) and organic material were measured and 11-metric models of Qualitative Habitat Evaluation Index (QHEI) and multiple eco-metric health assessment model (MEHA) were applied to the four major watershed. Nutrient analysis of nitrogen (N) and phosphorus (P) in all watersheds indicated a eutrophic state depending on the locations of sampling streams. Physical habitat health, based on the QHEI model, averaged 114 (range: 56 - 194), judging as a "good condition" by the criteria of Plafkin et al. (1989). In addition, primary (H1 - H4), secondary (H5 - H7), and tertiary habitat metric variables (H8 - H11) were analyzed in relation to the physical habitat degradations. The plots of tolerant species ($P_{TS}$) and sensitive species ($P_{SS}$) to water quality showed that the proportions of $P_{TS}$ had positive linear functions with nutrients, and that the $P_{SS}$ had inverse linear relations with the chemical variables. The model of eco-metric health assessment showed that mean MEHA was 20.4, indicating a fair condition. Overall, our data suggest that water chemistry, based on nutrients and organic matter, directly modified the trophic structures in relation to food chain in the aquatic ecosystems, and then these directly influenced the compositions of tolerance/sensitive species, resulting in degradations of overall ecological health.

• 유통과학연구
• /
• 제12권10호
• /
• pp.57-65
• /
• 2014

Purpose - This study aims to identify the effect of corporate eco-friendly marketing, which focuses on corporate social responsibility, on the environment, natural preservation and protection, and environmental concern among consumers. Research design, data, and methodology - A total of 92 valid questionnaires were used for analysis. A structured model was established and a 3-step mediated regression test was employed to see how consumers' perception of ethical consumer behavior and price sensitivity are influential in relation to the impact of consumer's perception of eco-friendliness on the using intention in relation to eco-friendly products. Results - Three factors of eco-friendly perception all have a positive impact on ethical consumer behavior, thus lowering their price sensitivity. In particular, it is found that environmental knowledge and environmental concern are important to promote ethical consumer behavior. Conclusion - It is found that, to increase the using intention of eco-friendly products, an enterprise should practice an eco-friendly marketing strategy, deliver eco-friendly related knowledge, and include contents to allow consumers to take an interest in the environment for effective performance of marketing.

• 한국유기농업학회지
• /
• 제19권spc호
• /
• pp.87-91
• /
• 2011

Eco-efficiency which is calculated by dividing economic productivity by the environmental load was made by synthesizing eco and efficiency from ecology and economy, proposed by World Business Council for Sustainable Development in 2000. Eco-efficiency by connection of resource efficiency with resource intensity is used as an indicator for evaluating green growth for minimizing the impact on the environment and achieving economic development as well by means of efficient use of resources. This research analyzes eco-efficiency with the case of organic agriculture promoted as a key green growth policy. Thirty questionnaires for farmers producing organic rice in Hongseong-gun, Choongcheongnam-do were used for the analysis. Eco-efficiency was measured by means of the amount of used nitrogen with respect to the amount of income, and was represented that organic agriculture was 32.0 higher than conventional agriculture. The analytical result of technical efficiency, using the (Data Envelopment Analysis (DEA) model showed that it is 0.765 which has a possibility of 21% in management improvement, and higher eco-efficiency was with higher technical efficiency. The analytical results showed that an organic agriculture contributes to green growth more than conventional agriculture. In addition, higher technical efficiency groups exhibited higher eco-efficiency indices.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권5호
• /
• pp.143-150
• /
• 2021

This study aims to determine (1) the inhibiting factors and solutions in the development of eco-tourism, and (2) how green entrepreneurship can be used for eco-tourism development. The increasing issue of global warming is pushing awareness of environmental preservation. This condition changes the people's paradigm in traveling from the concept of mass-tourism to the concept of eco-tourism. The development of eco-tourism has consequences for entrepreneurial activities which is known as green entrepreneurship. This study is applied research conducted in East Lombok, one of the regions in Indonesia. The sampling technique used is purposive sampling covering a total of 34 informants. Data collection methods are carried out through interviews, observation, and documentation studies. Based on the data analysis, the findings of this study show that (a) inhibiting factors of eco-tourism development are limitation of eco-tourism knowledge, lack of awareness in environmental preservation, and absence of supporting government policy; and (b) solution for eco-tourism development discovered in this research is divided into five factors i.e., condition, demand, related industry and support, strategy, government. Besides, for applying the green entrepreneurship model i.e., developing the spirit of green entrepreneurship, training in making products and services that are environmentally friendly is needed.

• Environmental Engineering Research
• /
• 제14권2호
• /
• pp.102-110
• /
• 2009

Application of artificial intelligence (AI) approaches in eco-environmental modeling has gradually increased for the last decade. Comprehensive understanding and evaluation on the applicability of this approach to eco-environmental modeling are needed. In this study, we reviewed the previous studies that used AI-techniques in eco-environmental modeling. Decision Tree (DT) and Artificial Neural Network (ANN) were found to be major AI algorithms preferred by researchers in ecological and environmental modeling areas. When the effect of the size of training data on model prediction accuracy was explored using the data from the previous studies, the prediction accuracy and the size of training data showed nonlinear correlation, which was best-described by hyperbolic saturation function among the tested nonlinear functions including power and logarithmic functions. The hyperbolic saturation equations were proposed to be used as a guideline for optimizing the size of training data set, which is critically important in designing the field experiments required for training AI-based eco-environmental modeling.

• 산업진흥연구
• /
• 제9권1호
• /
• pp.259-273
• /
• 2024

본 연구에서는 2011년부터 2021년까지 중국의 31개 성(省)급 행정구역을 연구 대상으로 삼았으며, 자본, 노동, 토지 및 자원 투입을 투입 변수로, GDP 및 녹색 범위를 예상 산출량으로, 폐수, 폐가스 및 고형 폐기물 등의 배출을 바람직하지 않은 산출물로 하고, 지역 환경효율성을 측정하기 위해 super-SBM 모형을 이용하였다. 외부 환경요인이 환경효율성에 미치는 영향을 분석하기 위해 토빗 회귀분석을 이용하였다. 그 결과 중국의 평균 환경효율성 수준은 낮았고 동부지역의 환경효율성은 다른 지역보다 높았으며 서부, 북동부 및 중부 지역에서 큰 차이가 있었다.