• 대한화학회지
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• 제47권6호
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• pp.559-568
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• 2003

LLE-GC/MS법을 사용하여 내분비계 교란물질로 추정되는 항 산화제 및 살충제를 동시에 분석할 수 있는 방법을 고안하였다. 본 연구에서 사용한 항 산화제는 butylated hydroxy anisole(BHA) 및 butylated hydroxy toluene (BHT)이고, 살충제는 allethrin 및 fenvalerate이었다. 표준시료에 대한 분석결과에서 검출한계(LOD)는 0.071~0.159 ng/ml이었으며, 이 때 상대표준편차는(%RSD)는 1.41~5.34이었다. 한강, 금강, 낙동강 및 섬진강 수계 중에서 이들 화합물들은 검출되지 않았다. 합성한 시료의 경우, 검출한계(LOD)는 0.051~0.132 ng/ml이었으며, 이 때 상대표준편차(%RSD)는 6.39~13.4% 이었다.

• 한국물환경학회지
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• 제31권5호
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• pp.482-490
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• 2015

In this study, considering the factors that affects sediment trapping efficiency of Vegetative Filter Strips (VFS), the scenarios were designed to develop a regression equation to estimate sediment trapping efficiency of VFS for agricultural fields in South-Korea. For this, general conditions of agricultural fields in South-Korea were investigated. Then, based on these results, total 53,460 scenarios were set and simulated by Vegetative Filter Strip MODel (VFSMOD-w). Two variables were determined from the results of 53,460 scenarios. These two variables were applied to CurveExpert for development of a equation, which can estimate sediment trapping efficiency of VFS. The equation developed in this study can be used in SWAT model for estimation of sediment reduction efficiency of VFS to upland field in Korea. Moreover, it is expected that VFS will be effectively applied to agricultural fields in South-Korea.

• 상하수도학회지
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• 제29권3호
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• pp.395-406
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• 2015

This research carried out an analysis on input cost and leakage reduction effect by leakage reduction method, focusing on the project for establishing an optimal water pipe network management system in the Taebaek region, which has been executed annually since 2009. Based on the result, optimal cost-benefit analysis models for water distribution network rehabilitation project were developed using DEA(data envelopment analysis) and multiple regression analysis, which have been widely utilized for efficiency analysis in public and other projects. DEA and multiple regression analysis were carried out by applying 4 analytical methods involving different ratios and costs. The result showed that the models involving the analytical methods 2 and 4 were of low significance (which therefore were excluded), and only the models involving the analytical methods 1 and 3 were suitable. From the result it was judged that the leakage management method to be executed with the highest priority for the improvement of revenue water ratio was installation of pressure reduction valve, followed by replacement of water distribution pipe, replacement of water supply pipe, and then leakage detection and repair; and that the execution of leakage management methods in this order would be most economical. In addition, replacement of water meter was also shown to be necessary in case there were a large number of defective water meters.

• 한국재난정보학회 논문집
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• 제11권4호
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• pp.589-596
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• 2015

건설산업의 양적팽창과 함께 도시화가 진행되면서 콘크리트는 건설재료로서 가장 많이 사용되는 재료로서 다양한 발전을 해왔다. 하지만 콘크리트를 제작하는데 필수 요소는 골재자원이 점진적으로 고갈되고 있으며 환경문제에 대한 규제의 강화로 인해 골재부족현상은 갈수록 커지고 있는 실정이다. 이에 따라 본 연구에서는 준설토 투기로 인해 버려지는 갯벌을 골재로 치환하여 사용한 친환경 모르타르를 제작하여 그 역학적 특성을 규명하고 또한 내화성능을 확인하기 위해 가열을 한 뒤 잔존압축강도를 측정하였다. 그 결과 MM1, MM2, MM3의 잔존압축강도는 각각 45%, 95%, 57.7%의 강도를 발현하였으며 MM2의 배합에서 내화성능이 가장 우수한 것으로 나타났다.

• 한국보건교육건강증진학회:학술대회논문집
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• 한국보건교육건강증진학회 1999년도 3rd International Symposium
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• pp.165-183
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• 1999

This paper will discuss about how we can foster educational support mechanisms to facilitate health promotion programs at the local level. Health promotion in Korea is in the early developmental stage; it has only been since the Health Promotion Act was legislated in 1995, the health promotion programs have been planned and implemented. In the context of the recent decentralization process, local health departments have a major responsibility for developing and implementing health promotion programs at the local level. The short history of health promotion in Korea has meant that local public health departments have limited experience and organizational capacity for health promotion planning ＆ practice. The results of one survey for investigating the progress of health promotion at the local level are instructive. The survey demonstrated that the public health workers recognized that the lack of personnels, insufficient budget, the lack of policy ＆ the organizational support, the lack of skill ＆ knowledge to be effective health promotors, the lack of guidance for health promotion practice were major barriers to implementing health promotion programs at the local level. The object of this paper is to suggest some ways of overcoming barriers to implementing health promotion programs at the local level This paper emphasizes on the importance of educational supports as well as environmental supports - legislative, policy, organizational, economical - in building the organizational capacity and infrastructure of local health department for health promotion. It suggests some ways of providing educational supports to the public health workers at the local level. and supports the positions that educational opportunities for training in health promotion can be better provided to the public health workers at the provincial level rather than at the national level. It argues that the educational ＆ training programs should be developed and based on the educational need assessment; that the application of the main educational principles ＆ theoretical models for health promotion be used to develop educational programs for the public health workers; and that professional health organizations should make plans to provide more educational programs at their annual conferences or at other convenient times. These kinds of educational supports facilitate the ability of public health workers to improve their capacity for health promotion practice at the local level and help to alleviate some of the pressure on state resources.

• 지구물리와물리탐사
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• 제10권2호
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• pp.154-160
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• 2007

이 논문에서는 Mackie et al. (1994), Sasaki (1999) 및 Nam et al. (2007)이 개발한 3차원 자기지전류 탐사 모델링 알고리듬의 특징을 자세히 비교 분석하고자 한다. Mackie et al. (1994)과 Sasaki (1999)의 알고리듬은 유한차분법(FDM)에 기초한 반면, Nam et al. (2007)의 알고리듬은 변유한요소법(EFEM)에 기초하고 있다. 이들 세 가지 방법으로 COMMEMI 3D-2 모형의 해를 구하고 적분방정식법의 해와 비교하였으며, 또한 세 가지 격자에 대해 세 개 주파수에서 계산시간을 비교하였다. FDM에 기반을 둔 두 가지 기법에서는 EFEM을 이용하는 경우보다 빠른 시간에 해를 계산할 수 있으며 이때 계산된 겉보기비저항과 위상은 전체적으로 적분방정식법의 해와 잘 일치하였으며 이상체 근처에서만 작은 차이를 보인다. 한편 EFEM에 기초한 알고리듬도 비교적 합리적인 시간 내에 매우 정확한 해를 계산할 수 있으며 지형을 포함한 경우에도 해를 계산할 수 있는 장점이 있다.

• Safety and Health at Work
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• 제8권1호
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• pp.29-35
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• 2017

Background: Despite our knowledge of the causes of cancer, millions of workers are involuntarily exposed to a wide range of known and suspected carcinogens in the workplace. To address this issue from a policy perspective, we developed a policy framework based on a prospective health policy analysis. Use of the framework was demonstrated for developing policies to prevent cancers associated with diesel engine exhaust (DEE), asbestos, and shift work, three occupational carcinogens with global reach and large cancer impact. Methods: An environmental scan of existing prospective health policy analyses was conducted to select and describe our framework parameters. These parameters were augmented by considerations unique to occupational cancer. Policy-related resources, predominantly from Canada, were used to demonstrate how the framework can be applied to cancers associated with DEE, asbestos, and shift work. Results: The parameters of the framework were: problem statement, context, jurisdictional evidence, primary prevention policy options, and key policy players and their attributes. Applying the framework to the three selected carcinogens illustrated multiple avenues for primary prevention, including establishing an occupational exposure limit for DEE, banning asbestos, and improving shift schedules. The framework emphasized the need for leadership by employers and government. Conclusion: To our knowledge, this is the first proposal for a comprehensive policy framework dedicated to the primary prevention of occupational cancer. The framework can be adapted and applied by key policy players in Canada and other countries as a guide of what parameters to consider when developing policies to protect workers' health.

• 응용통계연구
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• 제28권5호
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• pp.847-858
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• 2015

남극해에서는 우리나라를 포함한 연안 강대국들의 원양어업이 활발히 성행하고 있다. 주인 없는 남극해의 생태계를 보호하기 위해 조업 국가들은 남극해양생물자원보존위원회를 만들고 협약을 맺어 일정한 어획량만 조업하고 금지기간과 금지구역을 설정하여 불법조업을 방지하고 있다. 남극해에서 조업하는 어종 중의 하나가 이빨고기(tooth fish)인데 비싼 값 때문에 불법조업이 있는 경우가 많다. 한 배의 조업성과는 CPUE(catch per unit effort)로 나타낼 수 있고, 한 지역에서 조업한 배들의 CPUE는 단일 또는 혼합 극단분포 형태를 가진다. 단일 극단분포일 경우 이상점 탐색은 상위 백분위수를 이용하면 된다. 본 논문은 자료가 혼합 극단분포인 경우 이상점 탐색을 위한 통계적 방법을 연구하고자 한다. 본 연구에서는 자료에 적합한 혼합 극단분포 모형을 EM 알고리즘으로 추정한 후 로그 가능도함수 값을 이용하거나 사후 확률을 이용한 이상점 탐색 알고리즘을 제안한다. 이 방법을 남극해 조업 데이터에 적용하여 시뮬레이션 한 결과 통계적 방법 적용의 가능성을 보여주었다.

• 한국기후변화학회지
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• 제7권4호
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• pp.373-381
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• 2016

Before the Conference of Parties (COP) 21 of the United Nations Framework Convention on Climate Change (UNFCCC) in 2015, most parties of UNFCCC had submitted their intended nationally determined contributions (INDCs) and to achieve their voluntary targets, some parties consider using international market mechanisms. As one of such mechanisms, Japan promoted its own bilateral mechanism called Joint Crediting Mechanism (JCM). In this study, feasibility studies and projects under JCM have been analyzed by project type, sector, country and region, which could provide some implications in designing Korea's future climate policy to achieve Korea's targets of 11.7% using international market mechanism in INDC. Since 2010, JCM has promoted 542 projects and feasibility studies in 44 countries according to the Institute for Global Environmental Strategies (IGES) database. Among 542 projects, about 80% were feasibility studies implying that JCM was more focused on project identification. However, current trends of JCM show that more projects will be soon implemented based on these feasibility studies. For sectoral categorization, projects were categorized into seven sectors-energy technology, energy efficiency, renewable energy, waste management, city, strategic planning and projects related to the country's efforts to reduce emissions from deforestation and forest degradation (REDD+). JCM projects were mitigation focused with more than 70% of projects were related to energy efficiency, renewable energy and energy technology. At the regional and country level, JCM is highly focused on Asia and especially, more than 100 projects were developed in Indonesia. Based on the analysis of JCM, in order to develop bilateral international mechanism for Korea, it is worthwhile to emphasize that Korea considers Asian countries as her partner. In addition, Korea may consider the collaboration with Multilateral Development Banks (MDBs) to implement projects identified by Korea and Asian partner countries. Furthermore, strategically, it is recommendable to develop jointly with Japan who has already capacity and networks with other Asian countries to mitigate GHG emissions. Such financial resources from MDBs and Japan may contribute to meet the 11.3% of GHG reduction target from abroad according to INDC of Korea.

• 한국물환경학회지
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• 제37권4호
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• pp.275-285
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• 2021

Algal bloom is an important issue in maintaining the safety of the drinking water supply system. Fast detection and classification of algae images are essential for the management of algal blooms. Conventional visual identification using a microscope is a labor-intensive and time-consuming method that often requires several hours to several days in order to obtain analysis results from field water samples. In recent decades, various deep learning algorithms have been developed and widely used in object detection studies. YOLO is a state-of-the-art deep learning algorithm. In this study the third version of the YOLO algorithm, namely, YOLOv3, was used to develop an algae image detection model. YOLOv3 is one of the most representative one-stage object detection algorithms with faster inference time, which is an important benefit of YOLO. A total of 1,114 algae images for 30 genera collected by microscope were used to develop the YOLOv3 algae image detection model. The algae images were divided into four groups with five, 10, 20, and 30 genera for training and testing the model. The mean average precision (mAP) was 81, 70, 52, and 41 for data sets with five, 10, 20, and 30 genera, respectively. The precision was higher than 0.8 for all four image groups. These results show the practical applicability of the deep learning algorithm, YOLOv3, for algae image detection.