본 연구는 귀리의 겨, 겉껍질 및 잎을 에탄올로 추출한 후 항산화 및 항균활성을 조사하였으며, 추출물을 유화형 돈육 소시지에 적용하였을 때 품질 및 저장성에 미치는 영향을 알아보기 위하여 수행하였다. 귀리의 잎 추출물(OLE)의 총 페놀함량(145.99ug CAE/mg), ABTS 라디칼 소거 활성(35.07%) 및 FRAP 활성(32.77ug Fe2+/mg)은 다른 부위에 비해 유의적으로 높게 나타났다(p<0.05). 항균 활성 측정결과 모든 부위의 추출물에서 Staphylococcus aureus, Streptococcus pneumonia과 Escherichia coli에 대해서 활성을 보이지 않았으나, OLE 및 귀리 겨 추출물은 Klebsiella pneumonia에 대해서는 120μg/disk이상에서 활성을 보였으며, OLE가 귀리 겨 추출물보다 동일 농도에서 유의적으로 높은 활성을 나타내었다(p<0.05). OLE를 유화형 돈육 소시지에 첨가하였을 때, 0.025% 첨가구에서 pH, 조직감 및 관능적 특성에 유의적인 영향을 미치지 않았다. 하지만 저장 14일차에 모든 첨가구에서 지방산화(TBARS), volatile basic nitrogen (VBN), 총균수가 대조구보다 유의적으로 낮게 측정되었다(p<0.05). 본 실험결과 OLE는 높은 항산화 활성을 보였으며, 유화형 돈육 소시지 제품에 적용하였을 때 지방산화를 지연시켰고, 총균수의 저하를 가져왔기 때문에 천연 보존제로서 좋은 첨가제로 사료된다.

국내 하천에서 발생하는 준설 및 보 건설은 하천 연속성 차단과 교란을 유도하여 수서 생물서식환경에 변화를 가져 온다. 본 연구에서는 4대강 보 (이포보, IP; 세종보, SJ; 죽산보, JS; 강정고령보, GG; 달성보, DS)에 서식하는 깔따구 군집 분포를 조사하고 서식환경에 영향을 주는 여러 환경인자를 측정하였다. 조사 지역 중 IP, SJ은 다른 조사 지역에 비해 WT, pH, TOC, Chl-a가 낮은 수준을 보였으며, 깔따구 개체수 결과에서는 Chironominae, Orthocladinae, Tanypodinae 가 비교적 균등한 수준으로 관찰되었다. 반면, JS, GG, DS는 Chironominae가 높은 비율로 우점하며, TOC와 Chl-a의 농도가 높게 나타났다. 각 조사 정점에 대한 깔따구 군집 조성의 특징과 환경요인을 반영한 집괴분석 결과 4대강 보는 3개의 그룹으로 구분되었으며, 이는 정점별 환경 차이와 깔따구의 대악 및 하순기절의 구조에 따른 먹이원 선호도 차이와 일치하였다. 따라서 본 연구에서는 연구 정점 간 먹이원의 차이에 의해 깔따구의 군집 구조의 차이가 나타나는 것을 확인 하였으며, 향후 각 깔따구 과 별 주 먹이원에 대한 연구에 대한 필요성을 제시한다.

Turbidity has various effects on the water quality and ecosystem of a river. High turbidity during floods increases the operation cost of a drinking water supply system. Thus, the management of turbidity is essential for providing safe water to the public. There have been various efforts to estimate turbidity in river systems for proper management and early warning of high turbidity in the water supply process. Advanced data analysis technology using machine learning has been increasingly used in water quality management processes. Artificial neural networks(ANNs) is one of the first algorithms applied, where the overfitting of a model to observed data and vanishing gradient in the backpropagation process limit the wide application of ANNs in practice. In recent years, deep learning, which overcomes the limitations of ANNs, has been applied in water quality management. LSTM(Long-Short Term Memory) is one of novel deep learning algorithms that is widely used in the analysis of time series data. In this study, LSTM is used for the prediction of high turbidity(>30 NTU) in a river from the relationship of turbidity to discharge, which enables early warning of high turbidity in a drinking water supply system. The model showed 0.98, 0.99, 0.98 and 0.99 for precision, recall, F1-score and accuracy respectively, for the prediction of high turbidity in a river with 2 hour frequency data. The sensitivity of the model to the observation intervals of data is also compared with time periods of 2 hour, 8 hour, 1 day and 2 days. The model shows higher precision with shorter observation intervals, which underscores the importance of collecting high frequency data for better management of water resources in the future.

The proper operation and safety management of water and wastewater treatment systems are essential for providing stable water service to the public. However, various natural disasters including floods, large storms, volcano eruptions and earthquakes threaten public water services by causing serious damage to water and wastewater treatment plants and pipeline systems. Korea is known as a country that is relatively safe from earthquakes, but the recent increase in the frequency of earthquakes has increased the need for a proper earthquake management system. Interest in research and the establishment of legal regulations has increased, especially since the large earthquake in Gyeongju in 2016. Currently, earthquakes in Korea are managed by legal regulations and guidelines integrated with other disasters such as floods and large storms. The legal system has long been controlled and relatively well managed, but technical research has made limited progress since it was considered in the past that Korea is safe from earthquake damage. Various technologies, including seismic design and earthquake forecasting, are required to minimize possible damages from earthquakes, so proper research is essential. This paper reviews the current state of technology development and legal management systems to prevent damages and restore water and wastewater treatment systems after earthquakes in Korea and other countries. High technologies such as unmanned aerial vehicles, wireless networks and real-time monitoring systems are already being applied to water and wastewater treatment processes, and to further establish the optimal system for earthquake response in water and wastewater treatment facilities, continuous research in connection with the Fourth Industrial Revolution, including information and communications technologies, is essential.

산림 식생은 수관층의 종류와 밀도에 의해 하층식생의 발달에 영향을 미치는 것으로 알려져 있다. 본 연구는 산림청 희귀식물로 지정된 꼬리말발도리 개체군의 수관열림도 차이에 따른 개체의 생장(생장량, 엽면적당 질량[Leaf Mass per Area], 엽면적) 및 생리적 특성(SPAD값, 엽록소량, 광합성)을 조사하고, 향후 대체서식지 조성을 위한 기초 자료를 제시하고자 한다. 조사구는 꼬리말발도리 자생지 환경 특성을 고려하여 국립수목원 내 수관열림도 차이가 보이는 3개 조사구(site 1, 2, 3)를 정하고, 꼬리말발도리 자생지(군위)에 1개 조사구(site 4)를 대조구로 하였다. 각 조사구의 광량, 지온 및 온도는 수관열림도와 비례하였으며, 토양습도 및 공중습도는 수관열림도와 반비례하는 경향을 보였다. 조사구별 평균 초장(cm)은 조사구마다 차이를 보였고, 엽면적은 수관열림도가 상대적으로 낮은 조사구에서 높았으며, LMA는 수관열림도가 높은 Site 3에서 높게 나타났다. 도입 개체는 수관열림도 차이에 따라 적절한 광적응 현상을 보이는 것으로 판단된다. 8월에 측정한 엽록소 a+b의 함량은 Site 4에서 가장 높았으며, 엽록소 a/b는 Site 3에서 가장 높았다. 꼬리말발도리의 조사구별 광합성 속도는 Site 2에서 가장 높은 수치를 보였으며, Site 4에서 가장 낮은 수치를 보였다. 그 외 기공전도도, 증산속도 유사한 경향을 보였다. 개체 특성 간 상관 분석 결과, 엽면적과 광량은 강한 음의 상관관계를 보였다. 본 연구는 희귀식물 꼬리말발도리의 대체서식지 조성에 기초 자료를 제시할 것으로 판단된다.

아시아에서 가장 큰 칼데라 호수인 천지는 해발 약 2250 m의 백두산 정상에 위치한다. 천지는 높은 해발고도 및 바다와 인접한 환경으로 인해 1년 중 6개월 정도가 눈과 얼음으로 뒤덮여 있다. 천지의 수원은 대부분 지하수로부터 유입되기 때문에 수온과 백두산의 화산활동이 밀접한 관련이 있다. 하지만 2000년대에 들어서며 백두산에 많은 화산활동이 관측되고 있다. 본 연구에서는 유럽우주국(European Space Agency: ESA)에서 제공하는 Sentinel-1 위성 영상 자료를 활용하여 백두산의 겨울철 생성되는 얼음의 면적을 분석하였다. Sentinel-1 위성의 후방산란 영상에서 얼음의 면적을 산출하기 위해 질감 분석 기법을 활용하여 2개의 편파영상에서 20개의 Gray-Level Co-occurrence Matrix(GLCM) 레이어를 생성했다. 면적 산출에 사용된 방법은 GLCM 레이어를 Support Vector Machine (SVM) 알고리즘으로 분류하여 영상에서 얼음의 면적을 산출했다. 또한 산출된 면적은 삼지연 기상관측소에서 획득된 기온자료와 상관관계를 분석하였다. 본 연구는 본격적인 장기간의 시계열 분석에 앞서 얼음의 면적을 산출하는 새로운 방법에 대한 대안을 제시하는 근거로서 활용될 수 있을 것이다.

알칼리성 산업부산물의 혼합에 따른 연안 오염퇴적물의 성상 변화를 평가하기 위해 해수 교환을 고려한 mesocosm 실험을 수행 하였다. 실험시작 1개월 후 실험구의 인산인 농도는 대조구 대비 간극수와 직상수에서 각각 19.0, 0.4 mg/L 낮게 검출되었다. 이는 GCA에서 용출된 칼슘이온과 인산인의 흡착반응을 통한 간극수 내의 인 고정 및 직상수로의 용출 억제에 따른 결과로 판단된다. 실험구의 간극수 내 황화수소 농도는 5.0 mg/L로 112.5 mg/L인 대조구에 비해 매우 낮게 나타났으며, 실험구 직상수의 DO 농도는 대조구에 비해 3.47 mg/L 높게 나타났다. 이상의 결과로부터 알칼리성 산업부산물인 GCA는 연안 오염퇴적물의 개선에 효과적인 재료임을 확인하였다.

A zinc-air battery is one of most promising advanced batteries due to its high specific energy density, low cost, and environmental friendliness. However, zinc anodes in zinc-air batteries lead to several issues including self-discharge, corrosion reaction, and hydrogen evolution reaction (HER). In this paper, viscosity of electrolyte has been controlled to suppress the corrosion reaction, HER, and self-discharge behavior. Various viscosity average molecular weights of poly(acrylic acid) (PAA) are adopted to prepare the electrolyte. The evaporation of electrolytes is proportional to the increase in molecular weight. In addition, enhanced self-discharge behavior is obtained when the gelling agent with high molecular weight is used. In addition, the zinc-air cell assembled with lower viscosity average molecular weight of PAA (Mv ~ 450,000) delivers 510.85 mAh/g and 489.30 mAh/g of discharge capacity without storage and with 6 hr storage, respectively. Also, highest capacity retention (95.78 %) is obtained among studied materials.

본 연구는 4대강 보 설치에 따른 실지렁이류의 분포 특성을 파악하고자 연구를 실시하였다. 현지조사는 2018년 3월부터 10월까지 총 10회 실시하였다. 조사결과 총 18종 35,390 ind. m-2 개체가 출현하였다. Limnodrilus hoffmeisteri (77.1%)이 우점종, Branchiura sowerbyi (9.5%)이 아우점종으로 분석되었다. 건중량 분석결과 총 32.418 g m-2이 계측 되었으며, 각 종별 건중량과 TOC 농도와의 상관 분석 결과 실지렁이, 아가미지렁이와 TOC 농도 간 음의 상관성을 갖는 것으로 나타났다. 실지렁이류와 물리적·이화학적 요인들 간의 다변량 상관분석 결과 퇴적토 깊이, Clay 비율, Silt 비율, Cobble 비율, Pebble 비율, pH, TOC 항목과 상관성을 갖는 것으로 분석되었다 (p<0.05, p<0.01). 조사지역별 실지렁이류 개체수와 퇴적토 깊이 및 Clay의 비율과 비교·분석한 결과 퇴적토의 깊이와 Clay의 비율이 높을수록 개체 수가 많은 것으로 나타났다. 조사시기에 따른 실지렁이류의 개체수, TOC 비교·분석결과 3월부터 10월까지 개체수는 감소하는 경향성을 나타냈으며, TOC는 증가하는 경향성을 갖는 것으로 분석되었다.

In this study, real-time monitoring of air quality using a real-time mobile monitoring system was conducted to identify the emission characteristics and current status of air pollutants and odorous substances that are mainly generated in domestic dyeing industrial areas and to trace the pollutant sources. The concentration of toluene in the industrial area was detected up to 926.4 ppb, which was 3 to 4 times higher than that of other industrial areas. The concentration of methylethylketone was 124.7 ppb and the concentration of dichloromethane was 129.5 ppb. Acrolein concentration was highest at E point at 521.6 ppb, methanol concentration was highest at D point at 208.8 ppb, and acetone concentration was highest at M and N points at 549.3 ppb. The most frequently detected concentration of pollutants in the air quality monitoring results in the industrial area was, in descending order, toluene > methanol > acrolein > dichloromethane > acetone, which was similar to the chemical emissions used in the industrial area by the Pollutant Release and Transfer Register data. The concentration of odorous substances measured in real time was compared with the concentration of minimum detection, and the concentration of hydrogen sulfide was about 10 times higher than the concentration of minimum detection at A point, which was judged to be the main odorous cause of A point. In the future, if the real-time mobile measurement system is constructed to automatically connect wind direction/wind speed, PRTR (Pollutant Release and Transfer Register) data and SEMS (Stack Emission Management System) data, etc., it was judged that more accurate monitoring could be performed.

In this study, the grid field olfactory odor method was supplemented to the domestic situation in the surrounding areas of a domestic science industrial complex. The actual condition of the occurrence of odor frequency in the field was then investigated over the first period of late spring to summer and the second period of autumn in 2017. The frequency of odor occurrence in the area around the science industrial complex was increased as odor discharge facilities in the nearby area were concentrated. The odor occurrence frequency of the total period was 0.09~0.28, that of the first period was 0.08~0.32, and that of the second period was 0.05~0.25. The odor occurrence frequency in summer was higher than in autumn. The frequency by which the measurement of odor occurrence by smell type was most dominant was mainly smell of chemicals, plastics, and livestock houses during the first period, and the smell of chemicals, burning gases, and plastics during the second period. And the frequency of each smell type was judged to be different according to season. The odor occurrence frequency was measured as higher than 0.15, which is the standard of Germany's odor frequency in an industrial area, and it was judged that measures for odor management in the region were necessary. Since most of the odor discharge facilities are non-continuous systems and the odor generation frequency is more important than the concentration of the minimum detection concentration, it was judged that the German grid method can reflect the odor occurrence characteristics of the odor complaints or receptors for a certain period of time compared to the domestic measurement method. In the future, it was judged that the field olfactory odor method would be able to replace the evaluation method of odor assessment in Korea with the survey method of odor assessment under actual conditions in areas where it is difficult to access the odor discharge source or the receptor where odor complaints occur.

A survey on the indoor air quality of schools was conducted on a total of 10 schools in each location, such as industrial zones, roadside zones and clean zones of the Jeonbuk Province. Regardless of their location, 75% of the schools were not suitable to the environmental standard, and five schools were inadequate in both the first and the second half measurement results. Compared to the public facilities survey conducted by the Jeollabukdo Institute Health and Environment Research from 2008 to 2016, the concentration of CO2, total airborne bacteria (TAB), and PM10, with the exception of HCHO, was higher in school classrooms than in any other public facilities. The correlations between pollutants and test items demonstrated that total airborne bacteria (TAB) were significantly correlated with the degree of ventilation, and the PM10 was correlated with the cleaning status, respectively. Although the other test items of indoor air quality in the school were measured in the same way as the public facilities measurement methods, the PM10 is applied in accordance with the simplified method. In order to investigate the difference between the measurement methods, the results were compared at the same point at the same time. When comparing the concentrations of PM10, the gravimetric method, which is a public facilities measurement method, showed a significant difference from the light scattering method, which is a method of measuring PM10 in schools. By comparison, it was confirmed that the light scattering method was measured lower than the gravimetric method. The light scattering method is useful for confirming the change of the particulate matter, but it is considered difficult to judge the concentration of the particulate matter in the classroom by the instantaneous measurement because of the potential error caused by high humidity, etc. Secondary pollution ions were measured at 17.1% ~ 40.5% in the industrial zone schools, 7.4%~27.4% in the roadside zone schools and 8.1%~21.8% in the clean zone schools, The percentage of pollution ions were not clearly distinguished by location.