• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2011년도 학술발표회
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• pp.18-18
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• 2011

Climate change is impacting and will increasingly impact both the quantity and quality of the world's water resources in a variety of ways. In some areas warming climate results in increased rainfall, surface runoff, and groundwater recharge while in others there may be declines in all of these. Water quality is described by a number of variables. Some are directly impacted by climate change. Temperature is an obvious example. Notably, increased atmospheric concentrations of $CO_2$ triggering climate change increase the $CO_2$ dissolving into water. This has manifold consequences including decreased pH and increased alkalinity, with resultant increases in dissolved concentrations of the minerals in geologic materials contacted by such water. Climate change is also expected to increase the number and intensity of extreme climate events, with related hydrologic changes. A simple framework has been developed in New Zealand for assessing and predicting climate change impacts on water resources. Assessment is largely based on trend analysis of historic data using the non-parametric Mann-Kendall method. Trend analysis requires long-term, regular monitoring data for both climate and hydrologic variables. Data quality is of primary importance and data gaps must be avoided. Quantitative prediction of climate change impacts on the quantity of water resources can be accomplished by computer modelling. This requires the serial coupling of various models. For example, regional downscaling of results from a world-wide general circulation model (GCM) can be used to forecast temperatures and precipitation for various emissions scenarios in specific catchments. Mechanistic or artificial intelligence modelling can then be used with these inputs to simulate climate change impacts over time, such as changes in streamflow, groundwater-surface water interactions, and changes in groundwater levels. The Waimea Plains catchment in New Zealand was selected for a test application of these assessment and prediction methods. This catchment is predicted to undergo relatively minor impacts due to climate change. All available climate and hydrologic databases were obtained and analyzed. These included climate (temperature, precipitation, solar radiation and sunshine hours, evapotranspiration, humidity, and cloud cover) and hydrologic (streamflow and quality and groundwater levels and quality) records. Results varied but there were indications of atmospheric temperature increasing, rainfall decreasing, streamflow decreasing, and groundwater level decreasing trends. Artificial intelligence modelling was applied to predict water usage, rainfall recharge of groundwater, and upstream flow for two regionally downscaled climate change scenarios (A1B and A2). The AI methods used were multi-layer perceptron (MLP) with extended Kalman filtering (EKF), genetic programming (GP), and a dynamic neuro-fuzzy local modelling system (DNFLMS), respectively. These were then used as inputs to a mechanistic groundwater flow-surface water interaction model (MODFLOW). A DNFLMS was also used to simulate downstream flow and groundwater levels for comparison with MODFLOW outputs. MODFLOW and DNFLMS outputs were consistent. They indicated declines in streamflow on the order of 21 to 23% for MODFLOW and DNFLMS (A1B scenario), respectively, and 27% in both cases for the A2 scenario under severe drought conditions by 2058-2059, with little if any change in groundwater levels.

• 기록학연구
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• 제42호
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• pp.287-326
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• 2014

환경갈등은 지역주민들의 장소 경험이 압축적으로 이루어지는 지역의 핵심 사건이며 로컬리티 기록화에서 우선적으로 추진해야 할 영역이다. 이 연구는 밀양 고압 송전탑 건설 사례를 중심으로 지역주민이 10년에 걸쳐 경험한 환경갈등을 기록화하기 위한 방안을 제시하기 위한 것이다. 갈등사건의 기록화는 이해관계자들의 입장과 관점에 대한 이해 없이 추진하기 어려우며, 기록의 수집 기술이 갈등의 내러티브에 따라 이루어져야 한다는 점에서 본 연구에서는 프레임을 고려한 동적 내러티브 구조를 제안하였다. 먼저 환경갈등의 특징을 조사한 후, 환경갈등 기록화의 원칙과 절차, 내러티브의 구조와 개발 절차가 포함된 모형을 설계하였다. 갈등 기록화 원칙은 복합적 기록화, 프레임 적용, 동적 내러티브의 구현으로 설정하였다. 동적 내러티브가 형성될 수 있는 기록화의 구조는 ISO 23081의 메타데이터 영역을 응용하여 설계하였으며, 내러티브 설계 절차를 제시하였다. 이 모형을 밀양 송전탑 건설 갈등 사례에 적용하여 그 유용성을 살펴보고자 하였다. 갈등사건의 전개과정, 쟁점, 이해관계집단, 갈등의 성격 등을 분석한 후 갈등의 전체 내러티브 및 프레임을 설정하였다. 기록생산 맥락에 대한 기술(사건, 법규, 이해관계자)과 기록 기술을 연계하고 각 사건 기술에 사건을 둘러싼 대립되는 프레임을 추가함으로써 디지털 환경에 적합한 중층적 내러티브를 형성하고자 하였다. 이 모형의 장점은 사건, 이해관계자, 법규에 대한 정보를 체계적으로 축적함으로써 기록 생산 맥락정보를 풍부하게 제공하고, 다중 개체를 이용한 동적 기술 구조를 채택하고 있어서 정보의 갱신과 추가, 연계가 지속적으로 이루어질 수 있다는 점이다. 이러한 방식의 환경갈등 기록화는 공동체의 집단기억 형성을 지원하며 비선호시설의 입지 사업을 추진할 때 지역민의 가치와 인식을 고려한 거버넌스 행정이 이루어지도록 촉구하는 데에 기여할 수 있을 것이다.

• 환경분석과 독성보건
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• 제21권4호
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• pp.264-280
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• 2018

In this study, volatile organic compounds (VOCs) were measured using a proton transfer reaction-time of flight-mass spectrometer (PTR-ToF-MS) at the Seoul Metropolitan Area Intensive Monitoring Station (SIMS) in Korea during the summer season of 2018. The results revealed that oxygenated VOCs (OVOCs) contributed a large fraction (83.6%) of the total VOCs, with methanol being the most abundant constituent (38.6%). The VOCs measured at SIMS were strongly influenced by local conditions. Non-volatile organic compounds (NVOCs), such as pinene, increased due to northeasterly wind direction in the morning, and OVOCs and anthropogenic VOCS (AVOCs) increased with northwesterly wind direction during the daytime. This was the result of the eastward location of Bukhansan National Park and the westward location of urban area from the SIMS location. The VOCs included abundant oxidized forms of VOCs, which can affect the generation of fine dust through various response pathways in the atmosphere. The real-time measurement technique using PTR-ToF-MS suggested in this study is expected to contribute to an improved scientific understanding of high-concentration fine dust events because the high temporal resolution makes it possible to analyze the variations of VOCs reflected in dynamic events.

• 한국축산식품학회지
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• 제42권1호
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• pp.153-174
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• 2022

This trial was conducted to evaluate the effect of overwrap, vacuum, and modified atmosphere packaging (MAP) on poultry breast fillets' microbiological, biochemical shelf life and sensory attributes. The fillets were divided into 4 groups, and each of the treatments was replicated 3 times with 60 breast fillets. The first group was a control group with overwrap packaging; the second group was vacuum packed (VP); the third and fourth groups were MAP-1: 0% O₂, 40% CO₂, 60% N₂, and MAP-2: 20% O₂, 40% CO₂, 40% N₂. The microbiological and biochemical analyses were performed for the total viable count, coliform count, Pseudomonas count, Salmonella count, total volatile basic nitrogen (TVB-N), pH, cooking loss, color, lipid oxidation, tenderness, and sensory analysis. The data were analysed through two-way ANOVA by Minitab (Minitab 17.3.1). Meat treated with understudy MAP compositions and vacuum packaging reduced total viable count, Pseudomonas count, and total coliform count than control (p<0.05). TVB-N remained below the recommended limit throughout storage except aerobic packaging (p<0.05). Cooking loss (%) was lowered and showed non-significant results (p>0.05) between vacuum packaging and both MAP concentrations. The meat stored in MAP-2 was characterised by higher (p<0.05) visual scores. Whilst MAP-1 showed higher (p<0.05) L^* values and overall acceptability. Sample packaged under aerobic packaging showed significant (p<0.05) results for b^* and thiobarbituric acid reactive substances (TBARS). Meat stored in aerobic packaging showed higher (p<0.05) shear force values. The outcome of this trial may help to promote the application of understudy MAP compositions and rapid detection of microbes by biochemical analysis under local conditions.

• 해양환경안전학회지
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• 제27권7호
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• pp.1038-1043
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• 2021

안정적인 선원 수급을 위해서는 선원의 임금 보장이 필수적이다. 하지만 선원들이 임금을 제대로 받지 못하는 임금체불 분쟁이 발생하고 있다. 본 연구에서는 선원 임금체불을 해결하기 위해 블록체인 기반 스마트 컨트랙트를 이용하여 임금지불 자동체결시스템을 설계하였다. 설계한 시스템은 정보등록부, 매칭처리부, 평점관리부, 스마트 컨트랙트를 배포하기 위한 임금 송금 등으로 구성된다. 매칭처리부는 선원과 선주의 자동알림설정을 위해 임금, 선종/어업, 직위, 면허 등 4가지 변수의 가중치 합이 임계값보다 넘으면 전송되도록 설계하였다. 또한, 평상시 근로조건을 상호 간 잘 이행해 나갈 수 있는 매개체 역할을 위해 평균과 중앙값을 조합하여 평점관리방식을 제시하였다. 스마트 컨트랙트는 중개자 없이 당사자 간 근로계약을 자동으로 이행하게 함으로써 선주에 의한 임금체불 문제뿐만 아니라 선원에 의한 선불금 사기, 무등록 직업소개소업자의 횡령, 선원수첩 위조 등의 문제들이 자연히 해결될 것이다. 이러한 시스템 설계가 상용화되어 제도적으로 활성화될 경우, 선원에게는 안정적인 임금보장과 더불어 선주에게는 인력수급의 어려움이 해결될 것으로 기대된다. 향후 본 시스템 개발을 위해 로컬 환경에서 테스트할 예정이다.

• 국제지역연구
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• 제15권1호
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• pp.83-108
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• 2011

남미지역은 재생에너지 및 비-재생에너지 분야에서 풍부한 에너지 보유량을 자랑하는 지역이다. 하지만 오늘날 이 지역의 에너지 안보는 에너지의 공급과 수요의 지역 간 균형을 맞추지 못하면서 이웃 국가 간 갈등과 분열을 보이고 있다. 그럼에도 불구하고 21세기 들어 이 지역에서 일고 있는 남미지역 에너지안보 공동 구축 움직임은 에너지 국제협력과 통합이라는 새로운 움직임을 낳고 있다. 이 논문은 이러한 움직임을 고찰해 보고 남미지역 에너지 협력과 통합의 가능성을 다양한 관점에서 살펴보고자 한다. 특히 이를 주도적으로 리드하고 있는 남미지역 에너지 대국 브라질의 사례를 통해 더욱 심도있게 분석 고찰해 본다. 에너지협력과 통합은 이들 지역 공동체에게 막대한 경제적 이익을 가져다 줄 수 있다. 하지만 문제는 브라질이 이들 지역 공동체 개별 국가들을 에너지협력 및 통합체에 대한 제도적 장치를 얼마나 잘 리드해 가느냐에 달려있다. 이 논문은 이러한 제도적 취약성과 다양한 내부 갈등의 배경들과 원인들을 분석해 향후 통합 가능성을 진단해 보고자 한다.

• Smart Structures and Systems
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• 제32권4호
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• pp.267-279
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• 2023

Data modelling and interpretation for structural health monitoring (SHM) field data are critical for evaluating structural performance and quantifying the vulnerability of infrastructure systems. In order to improve the data modelling accuracy, and extend the application range from data regression analysis to out-of-sample forecasting analysis, an improved most likely heteroscedastic Gaussian process (iMLHGP) methodology is proposed in this study by the incorporation of the outof-sample forecasting algorithm. The proposed iMLHGP method overcomes this limitation of constant variance of Gaussian process (GP), and can be used for estimating non-stationary typhoon-induced response statistics with high volatility. The first attempt at performing data regression and forecasting analysis on structural responses using the proposed iMLHGP method has been presented by applying it to real-world filed SHM data from an instrumented cable-stay bridge during typhoon events. Uncertainty quantification and correlation analysis were also carried out to investigate the influence of typhoons on bridge strain data. Results show that the iMLHGP method has high accuracy in both regression and out-of-sample forecasting. The iMLHGP framework takes both data heteroscedasticity and accurate analytical processing of noise variance (replace with a point estimation on the most likely value) into account to avoid the intensive computational effort. According to uncertainty quantification and correlation analysis results, the uncertainties of strain measurements are affected by both traffic and wind speed. The overall change of bridge strain is affected by temperature, and the local fluctuation is greatly affected by wind speed in typhoon conditions.

• 대한물리치료과학회지
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• 제9권3호
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• pp.31-49
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• 2002

The purpose of this study was to investigate discomforts and sexual life and to identify the relation between the discomforts and sexual life with low back pain. The data were collected from March 2 through July 31, 2001. Four hundred forty-two questionnaires were returned (response rate=88.0%). Analysis of the data was done with SPSS PC+ and use descriptive statistics, $x^2$-test, t-test, ANOVA. regression. The statistics shows that over than 80% of the adults experienced lumbago at least one time in their life, and Back pain is known as one of the most common complaints made by the patients of all ages in the general hospital or local medical clinics throughout. However, in certain case it leads to a chronic condition which can cause a great deal of problems in management and in financial burden to individuals and society. The result of this study was summarized as follows: 1) It appeared that regarding the distribution of gender, male was the higher(63.6%) then that of female, the portion of forties was 28.5%. Sitting for long time was 23.1% in men and 21.7% in women. Unknown reason including sexual behaviour was 12.9% in men and 15.5% in women. Patients treated medicine and physical therapy were 36.4%. In level of educational background, the rate of high school was 31.0%, technical college was 28.5%. The highest proportion by occupation was 18.3% of office workers, occupation posture was 41.9% of sitting. 2) Men(26.0%) and most of women(34.8%) were not satisfied in the explanation satisfaction rate of sex life concerned disease. 23.8% in men and 23.6% in women considered flexibility of waist good. Man(33.3%) and most of woman(35.0%) considered that Health education is necessary. 32.7% in men and 27.3% in women did't mind educator is whoever. Preventing of lower back pain(LBP) and proper Health education of sex life are demanded in daily life. 3) 58.0% of man and 64.0% of woman mostly had a posture which is man over woman. 28.5% in men and 27.8% in women considered that proper information finding of LBP and sex life was very few and few. 37.7% in men and 42.7% in women have acquired information about sex life flung their friends. 4) The number of sex life was decreased from 2.96 0.98 to 2.61 1.63 and also the time of sex life was decreased from 3.65 1.89 to 226 1.64. The satisfaction rate of sex life changed from 3.60 0.86 to 2.77 1.10. In the number of sex life, The non correct group was 2.62 1.91 and the correct group was higher in 2.68 1.65. In the time of sex life, The non correct group was 2.02 1.47 and the correct group was higher in 229 1.65. The satisfaction rate of sex life was 2.76 0.86 in non correct group and 2.88 1.10 in correct group. So there was a difference. 5) In the satisfaction rate of sex life, Men who have a lower back pain were higher than women and no attack group was higher than attack group. As they had many sex life, the satisfaction rate was higher significantly in statistics. As the time of sex life was short, the satisfaction rate was lower significantly in statistics. As the age was low, the demand rate of Health education was high and as means of patient who had a lower back pain was high, the demand rate of Health education was high. As the patient who had a lower back pain had a long married life, the demand rate of Health education was high and as education level was high, the demand rate of Health education was high. It is necessary to provide patients with conservative treatment, educational teaching, and training to prevent further injuries in the future. In general, it is important to educate the public how to prevent back injuries and how to treat themselves in an onset period to prevent further injuries sliding into a chronic state. Sexuality is an integral part of normal and healthy relationships, but patients are unable to enjoy sex because they are riot able to get into a comfortable position due to back pain. Many conditions of the spine can make certain positions uncomfortable. Health educator should make the education program of the discomforts and the sexual pattern for low back pain in workplace and/or hospital. Further study Is needed on how to integrate the educational program on sexuality into the total rehabilitation program.

• 농약과학회지
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• 제10권4호
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• pp.344-350
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• 2006

항바이러스 효과를 나타내는 세균은 강원도 홍천 인삼재배지의 수삼으로부터 분리하였다. 분리세균은 생리 생화학 테스트와 16s rRNA 유전자 분석을 통해 동정한 결과, Serratia 속으로 동정 되어져 본 세균을 Gsm01으로 명명하였다. Gsm01 균주를 MGY 액체배지에 증식시켜 배양 여액을 0.45 ${\mu}m$ filter에 통과시킨 Culture filtrate (CF)를 명아주 (Chenopodium amaranticolor)에 반엽법으로 처리한 결과, 오이모자이크 바이러스 (CMV)에 대한 억제율이 98%로 매우 높은 것을 확인하였다. 또한 전신유도저항성을 확인하기 위하여 담배 (Nicotiana tabacum cv. Xanthi-nc)의 하엽에 CF와 CMV-Y를 처리하였을 때, CF를 처리한 식물에서 접종15일 후까지 바이러스 증상이 관찰되지 않았다. 고추의 포장시험에서 무처리 식물과 비교해 보았을 때 바이러스 증상은 52.9% 감소한 것으로 보아 포장 시험에서 CF를 처리한 농작물의 산출량이 무처리 식물에 비해 14% 증가함을 확인 할 수 있었다. 한편, Gsm01 균주의 CF는 고추에 어떠한 약해도 나타내지 않아 매우 안전한 것으로 판단되었다.

• 한국지리정보학회지
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• 제21권4호
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• pp.64-80
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• 2018

우리나라의 시민들은 범죄에 대한 일반적인 사항만을 알 수 있을 뿐, 자신이 범죄위험에 얼마나 노출되어 있는지를 파악하기 어렵다. 경찰의 입장에서도 범죄발생 지역을 예측할 수 있다면 경찰력이 부족한 상황에서 효율성 있게 범죄에 대처 가능할 것이지만 아직 우리나라에서는 예측시스템이 없고, 관련 연구도 매우 부족한 실정이다. 이에 본 연구에서는 범죄발생 위험지역 예측 자동화 시스템 개발의 첫 번째 단계로 빅데이터로 구축 가능한 범죄정보와 도시지역 자료를 바탕으로 머신러닝 방식을 통해 한국형 범죄발생 위험지역 예측 모형을 개발하고자 한다. 또한 시나리오를 가정하여 범죄발생 확률을 지도로 시각화함으로써 사용자의 이해도를 높이도록 하였다. 선행 연구 및 사례에서 범죄발생에 영향을 미치는 요인 중 빅데이터로 구축 가능한 범죄정보, 날씨정보(기온, 강수량, 풍속, 습도, 일조, 일사, 적설, 전운량), 지역정보(평균 건폐율, 평균 용적율, 평균 높이, 총 건축물수, 평균 공시지가, 평균 주거용도면적, 평균 지상층수)를 머신러닝에 활용할 수 있도록 데이터를 사전 처리하였다. 머신러닝 알고리즘으로서 지도학습 모형 중 다양한 분야에서 활용되며 정확도가 높다고 알려진 의사결정나무모형, 랜덤포레스트모형, Support Vector Machine(SVM)모형을 활용하여 범죄 예측 모형을 구축하고 비교 분석하였다. 그 결과 평균 제곱근 오차(Root Mean Square Error, RMSE)가 낮아 예측력이 높은 의사결정나무모형을 최적모형으로 선정하였다. 이를 바탕으로 가장 빈번하게 발생하는 절도와 폭력범죄를 대상으로 시나리오를 작성하여 범죄 발생 위험지역을 예측한 결과, 사례도시 J시는 위험지역이 3가지 패턴으로 발생하는 것으로 나타났으며, 각각 발생확률을 3 등급으로 구분하여 $250{\times}250m$ 단위의 지도형태로 시각화할 수 있었다. 본 연구는 향후 자동화 시스템으로 개발하여 시시각각으로 변하는 도시 상황에 따라 실시간으로 예측 결과를 시각화하여 제공함으로써 보다 범죄로부터 안전한 도시환경 조성에 기여하고자 한다.