This study was performed to evaluate the pollutants removal characteristics of two types of RBFs(Riverbank filtration, Riverbed filtration) intake facilities installed in Nakdong River and in Hwang River respectively. The capacity of each RBF is 45,000 ㎥/d for riverbank filtration intake facility and 3,500 ㎥/d for riverbed filtration intake facility. According to data collected in the riverbank filtration site, removal rate of each pollutant was about BOD(Biochemical oxygen demand) 52%, TOC(Total organic carbon) 57%, SS(Suspended solids) 44%, Total coliforms 99% correspondingly. Furthermore, Microcystins(-LR,-YR,-RR) were not found in riverbank filtered water compared to surface water in Nakdong River. DOC(Dissolved organic carbon) and Humics which are precursors of disinfection byproduct were also reported to be removed about 59% for DOC, 65% for Humics. Based on data analysis in riverbed filtration site in Hwang River, removal rate of each contaminant reaches to BOD 33.3%, TOC 38.5%, SS 38.9%, DOC 22.2%, UV254 21.2%, Total coliforms 73.8% respectively. Additionally, microplastics were also inspected that there was no obvious removal rate in riverbed filtered water compared to surface water in Hwang River.

Nowadays, artificial intelligence model approaches such as machine and deep learning have been widely used to predict variations of water quality in various freshwater bodies. In particular, many researchers have tried to predict the occurrence of cyanobacterial blooms in inland water, which pose a threat to human health and aquatic ecosystems. Therefore, the objective of this study were to: 1) review studies on the application of machine learning models for predicting the occurrence of cyanobacterial blooms and its metabolites and 2) prospect for future study on the prediction of cyanobacteria by machine learning models including deep learning. In this study, a systematic literature search and review were conducted using SCOPUS, which is Elsevier’s abstract and citation database. The key results showed that deep learning models were usually used to predict cyanobacterial cells, while machine learning models focused on predicting cyanobacterial metabolites such as concentrations of microcystin, geosmin, and 2-methylisoborneol (2-MIB) in reservoirs. There was a distinct difference in the use of input variables to predict cyanobacterial cells and metabolites. The application of deep learning models through the construction of big data may be encouraged to build accurate models to predict cyanobacterial metabolites.

The CMM is the most widely used measuring device in the field. The three-dimensional measurement method is divided into a method of scanning the shape of a product and a touch method. In this study, the accuracy of the dimension and shape of each measurement point touch method was analyzed based on the measured value with the touch method CMM using the inner and outer diameter measurement specimens. Through the experimental results, it was possible to obtain the closest value to the true value at more than 30 measurement points.

This study focused on using indirect filtration through riverbeds to produce high-quality drinking water. Data on water quality from a water intake facility(capacity 10,000 m3/day) and nearby rivers were collected over a three-year period. The average intake facility specifications were found to be a specific surface area of 58 balls/m2, a mean particle size of 24 mm, an inflow velocity of 2.2 cm/sec, and a burial depth of 5 m. The water quality improvement rate was assessed as grade Ia, surpassing the adjacent river’s water quality. Correlation analysis showed a weak correlation between opening ratio, Suspended Solid (SS), and Biochemical Oxygen Demand (BOD) compared to total coliforms and fecal coliforms. The correlation coefficient R value of SS was -0.614, BOD was –0.588, total coliforms -0.870, and fecal coliforms -0.958. The R value shows a negative value, which showed that the larger the opening rate, the lower the removal rate of water pollutants. The correlation coefficient R values according to the depth of burial were found to be BOD 0.914, SS-0.124, total coliforms 1.000, and fecal coliforms 0.866. The deeper the burial depth, the higher the removal rate of BOD and microbial groups.

The leopard plant has the characteristic of being used for ornamental purposes when there are yellow spots on the leaves, and is widely used as a bed plant for viewing flowers. To set several indicators to predict the growth of crops with ornamental value, and to quantitatively express the relationship between the indicators are necessary. In this study, we determine a model that estimates the leaf area and the number of flower of Farfugium japonicum Kitam. using leaf length and width, and conducting a regression analysis on some regression models. As an indicator for estimating the leaf area and the number of flower, the leaf length and width of F. japonicum were measured and applied to 8 regression models. As a result of regression analysis of 8 models that estimated leaf area and the number of flower, R2 values of the linear models were all higher than 0.84 and 0.80. As a result of validation, using the most reliable model among the models for estimating the leaf area and the number of flowering, R2 was 0.90 and 0.82, respectively. Using a model that estimates various indicators that can be used for quality evaluation from easy-to-measure morphological factors, the evaluation of ornamental plants will be facilitated.

생물환경조절학회지 30권 3호에 게재된 논문의 그래프를 수정합니다.

본 연구는 Bacillus subtilis를 활용한 바이오플락 양식 기술(Biofloc technology, BFT)을 이용하여 대농갱이(Leiocassis ussuriensis) 양식의 가능성을 확인하기 위해 90일 동안 생존, 성장지수와 사육수 수질의 변화를 관찰하였다. 대농갱이를 입식하기 전 BFT 수 제조를 위해 실험수조에 사료와 당밀을 첨가한 후 B. subtilis를 접종하여 40일간 수질을 안정화시켰다. 실험결과, 대농 갱이의 생존율은 대조구 92.7±3.2%와 BFT 실험구 95.8±3.3%로 조사되었다. 증체율은 대조구 118.1±9.0%와 BFT 실험구 197.7±15.6%을 보였고, 일간 성장율은 대조구 0.87±0.5%, BFT 실험 구 1.21±0.06%로 나타났다. 사료효율은 대조구가 43.7±2.6%이었고, BFT 실험구는 70.1±4.1%로 측정되어 BFT 실험구의 사료효율이 더 높은 것으로 조사되었다. 실험기간 동안의 수질 변화를 측정한 결과, pH는 대조구와 BFT 실험구 모두 감소되었고, MLSS는 대조구에서 변화를 보이지 않았지만, BFT 실험구에서는 90일째부터 유의한 증가를 보였다. NH4 +-N와 NO2 --N는 대조구 에서 실험 30일째부터 유의한 증가를 보였으나, BFT 실험구에서는 변화를 보이지 않았다. 결론 적으로 B. subtilis를 활용한 BFT 시스템을 대농갱이 양성 과정에 적용한 결과, 수질은 안정화 되는 경향을 보였고, 성장도와 사료효율은 대조구에 비해 높은 것으로 조사되어 긍정적인 효 과가 있는 것으로 확인되었다.

본 논문은 교정보호체계 내 대상자 수 적정화 필요성과 그 방향에 대해 다룬다. 범 죄자의 실효적 재범방지를 위해서는 증거기반 정책의 수립과 집행체계의 전문성 강화 등 다양한 이슈가 논의 될 수 있다. 다만, 이러한 정책들이 성공하기 위해서는 정책의 집행대상을 명확히 하여 밀도 높은 교정교화 활동을 실시 할 필요가 있다. 이러한 관 점에서, 우리 교정보호체계가 가진 큰 문제점은 교정과 보호체계 모두 필요 이상의 많 은 범죄자들을 관리감독하고 있다는 점에 있다. 교정시설의 과밀수용현상과 보호관찰 소의 만성적 인력부족 현상은 이러한 현상의 단면을 잘 보여준다. 우리 교정보호체계 는 이러한 문제점을 시설과 인력의 확충이라는 방법을 통해서 해결하려 해왔다. 그러 나 교정보호체계가 각자의 몸집을 불려가는 망의 확장 현상은 귀중한 형사사법 자원 의 낭비를 초래할 뿐 아니라, 최근 가장 설득력 있는 교정이론 중 하나인 RNR이론에 따르면 재범률 감소에 긍정적 영향을 주지 못한다. 교정과 보호 두 기관은 지역사회안전을 해치지 않는 범위내에서 대상자의 수를 감소시킴으로써 근본적인 문제를 해결 해야 한다. 시설내 교정체계는 지금 보다 많은 수용자를 탈 시설화(decarceration) 하여야 하고, 사회내 처우체계도 재범위험성이 낮은 범죄자를 조기해방(early release) 시켜줘야 한다. 본 논문은 한국의 교정보호체계가 전체 교정보호 대상자 총량의 감소 를 통해 스마트한 교정보호체계로 거듭날 수 있도록, 실효적 정책대안과 향후 제언을 제시하였다.

For a member model in nonlinear structural analysis, a lumped plastic model that idealizes its flexural bending, shear, and axial behaviors by springs with the nonlinear hysteretic model is widely adopted because of its simplicity and transparency compared to the other rigorous finite element methods. On the other hand, a challenging task in its numerical solution is to satisfy the equilibrium condition between nonlinear flexural bending and shear springs connected in series. Since the local forces between flexural and shear springs are not balanced when one or both springs experience stiffness changes (e.g., cracking, yielding, and unloading), the additional unbalanced force due to overshooting or undershooting each spring force is also generated. This paper introduces an iterative scheme for numerical solutions satisfying the equilibrium conditions between flexural bending and shear springs. The effect of equilibrium iteration on analysis results is shown by comparing the results obtained from the proposed method to those from the conventional scheme, where the equilibrium condition is not perfectly satisfied.