• Journal of Veterinary Clinics
• /
• v.36 no.1
• /
• pp.7-14
• /
• 2019

In South Korea, six large outbreaks of highly pathogenic avian influenza (HPAI) have occurred since the first confirmation in 2003 from chickens. For the past 15 years, HPAI outbreaks have become an annual phenomenon throughout the country and has extended to wider regions, across rural and urban environments. An understanding of the spatial epidemiology of HPAI occurrence is essential in assessing and managing the risk of the infection; however, local spatial variations of relationship between HPAI incidences in Korea and related risk factors have rarely been derived. This study examined whether spatial heterogeneity exists in this relationship, using a geographically weighted Poisson regression (GWPR) model. The outcome variable was the number of HPAI-positive farms at 252 Si-Gun-Gu (administrative boundaries in Korea) level notified to government authority during the period from January 2014 to April 2016. This response variable was regressed to a set of sociodemographic and topographic predictors, including the number of wild birds infected with HPAI virus, the number of wintering birds and their species migrated into Korea, the movement frequency of vehicles carrying animals, the volume of manure treated per day, the number of livestock farms, and mean elevation. Both global and local modeling techniques were employed to fit the model. From 2014 to 2016, a total of 403 HPAI-positive farms were reported with high incidence especially in western coastal regions, ranging from 0 to 74. The results of this study show that local model (adjusted R-square = 0.801, AIC = 954.5) has great advantages over corresponding global model (adjusted R-square = 0.408, AIC = 2323.1) in terms of model fitting and performance. The relationship between HPAI incidence in Korea and seven predictors under consideration were significantly spatially non-stationary, contrary to assumptions in the global model. The comparison between global Poisson and GWPR results indicated that a place-specific spatial analysis not only fit the data better, but also provided insights into understanding the non-stationarity of the associations between the HPAI and associated determinants. We demonstrated that an empirically derived GWPR model has the potential to serve as a useful tool for assessing spatially varying characteristics of HPAI incidences for a given local area and predicting the risk area of HPAI occurrence. Considering the prominent burden of HPAI this study provides more insights into spatial targeting of enhanced surveillance and control strategies in high-risk regions against HPAI outbreaks.

• Korean Journal of Ichthyology
• /
• v.31 no.3
• /
• pp.150-158
• /
• 2019

We examined the food habits of larval Acanthogobius flavimanus using 260 specimens collected from February to April 2011 in the Nakdong River estuary, Korea. We found that larval A. flavimanus are carnivorous, feeding mainly on copepods and tintinnids. Their diet also included small quantities of larval polychaetes, macrostomids, larval bivalves, rotifers, barnacles, diatoms and unidentified materials. To assess ontogenetic changes in diet composition, the larvae were separated into three developmental stages: preflexion (<7 mmNL), flexion (7~9 mmNL), and postflexion (>9 mmNL). The preflexion group frequently preyed on tintinnids. But as the larvae of A. flavimanus grew, the consumption of copepods for flexion group, and polychaetes for postflexion group, increased respectively. The larvae of A. flavimanus showed one peak for feeding incidence at dusk, but the mean number of preys per individual was high until midnight.

• Journal of the Korean Society for Environmental Technology
• /
• v.19 no.6
• /
• pp.493-502
• /
• 2018

The purpose of this study was to develop EM media for water treatment and to remove nitrogen and phosphorus which cause water algae boom in water system. The ideal mixing ratio of raw material such as clay: zeolite: vermiculite: activated carbon for manufacturing the EM media was 10: 2.5: 0.1: 2, and the calcination temperature was $700^{\circ}C$. The comparison of the physical properties of manufactures using distilled water and EM activated liquid as the material mixture are as follows. Porosity and density of EM media were 39.98 % and $1.13kg/m^3$, adsorption efficiencies of nitrogen and phosphorus were 69.3 % and 38.9 %. In contrast, porosity and density of distilled water media were 37.80 % and $1.11kg/m^3$, and adsorption efficiencies of nitrogen and phosphorus were 62.5 % and 37.8 %. The adsorption rate of nitrogen and phosphorus in the EM media was higher than that of the distilled water made one by 6.8 % and 1.1 %, respectively. The adsorption characteristics of the media to nitrogen and phosphorus could be expressed by the Freudlich adsorption isotherm. The change of calcination time did not affect the adsorption efficiency of phosphorus and nitrogen when EM media was formed, but it was considered that it affects the strength of media. Nitrogen removal efficiency was the best record in 4 hours of calcination time and 3 hours of calcination time in phosphorus removal efficiency.

• Journal of the Korea Society for Simulation
• /
• v.30 no.1
• /
• pp.113-126
• /
• 2021

The future energy consumption pattern will show a very different pattern from the present due to the increase of distributed power sources such as renewable energy and the birth of the concept of prosumers, etc. Accordingly, it can be predicted that the direction of establishment of an appropriate production and supply plan considering the stability and consumption efficiency of the entire power grid will also be different from now. This paper proposes a simulation model that can test a new operational strategy when faced with a number of possible future environments. Through the proposed model, it is possible to simulate and analyze power consumed and supplied in a future Smart Grid environment, in which a large amount of new concepts including energy storage service (ESS) and distributed energy resources (DER) will be added. In particular, it is possible to model complex systems structurally by using DEVS formalism among the ABM (Agent-Based Model) methodologies that can model decision-making for each agent existing in the grid, and several factors can be easily added to the grid. The simulation model was verified using given dataset in the current situation, and scenario analysis was performed by simply adding an ESS, one of the main elements of the smart grid, to the model.

• Economic and Environmental Geology
• /
• v.55 no.1
• /
• pp.45-51
• /
• 2022

Whether Dokdo can sustain human habitation or economic life of their own plays an important role to the legal status of the island in the international maritime law. This study reports the hydrological survey results regarding the water resource of the island occurred at Moolgol in Seodo. The amount of underground discharge at Moolgol was estimated at least 1.1 m³/d, conforming the results of previous studies. Based on the oxygen and hydrogen isotope ratios of water, the discharge appeared to originate from precipitation, and about 36% of the daily precipitation moves fast to the Moolgol through the joints developed in the volcanic bedrocks. Quality of the discharged water shows relatively higher concentrations in Cl and NO₃ to be used for drinking and domestic purposes, probably affected by the sea spray and waves from surrounding sea and the birds' excretion such as black-tailed gulls.

• Clean Technology
• /
• v.16 no.1
• /
• pp.39-45
• /
• 2010

In this paper, 4 bundle modules of PVDF hollow fiber membrane from Woori Tech company (Korea) were manufactured in a treatment capacity of 10 ton/day. A membrane bioreactor (MBR) pilot plant was installed at Sooyoung Wastewater Treatment Plant in Busan. An alternating aeration process was selected to avoid the concentration profile of suspended solid (SS) in the MBR. For stable operation, raw wastewater with mixed liquor suspended solid (MLSS) of about 1,000 ppm, which was in-flowed from the aeration tank of the wastewater treatment plant, was fed and filtered through the pilot plant. Subsequently the pilot plant were washed three times with washing water: once with ethanol solution, once with a solution of 5% NaOCl, and finally with washing water. After the chemical washing, the remaining water in the MBR was fed into the pilot plant. As a result, the SS removal efficiency was found to be more than 99.9%. The amount of filtrate with the aeration tank influent decreased by 16%, compared with that from the initial conditions, giving rise to 30% increase in the suction pressure. These results were used to set up continuous operation conditions. The results from the continuous operation with influent MLSS of 1,900 mg/L showed that the SS removal efficiency was about 99.99% and that the amount of filtrate and the suction pressure were $42{\sim}52L/m^2$ and 16~20 cmHg, respectively, indicating stable operation of the pilot plant. However, for the reuse of wastewater, methods need to be sought to avoid growth of algae which affects the SS removal efficiency at inlet and outlet of the permeate tank.

• Korean Journal of Ecology and Environment
• /
• v.56 no.2
• /
• pp.127-139
• /
• 2023

Daechung Reservoir has been suffering from severe cyanobacterial blooming periodically due to the water pollutants from the watershed, especially nutrients from nonpoint sources. As a countermeasure, an artificial wetland was constructed to mitigate the pollutant load from the watershed by utilizing the vegetation. We investigated the water quality of the influent and outflow of the wetland during years 2014~2020 to evaluate the performance of pollutant removal through the wetland. Major pollutants (e.g. BOD, COD, SS, T-N, and T-P) were largely reduced during the retention in the wetland while nutrients removal was more efficient than that of organic matters. Pollutant removal efficiency for different inflow concentrations was also investigated to estimate the wetland's capability as a way of managing nonpoint sources. The efficiency of water treatment was significantly higher when inflow concentrations were above 75^th percentile for all pollutant, implying the wetland can be applied to the pre-treatment of high pollution load including initial rainfall runoff. Furthermore, the yearly variation of removal efficiency for seven years was analyzed to better understand long-term trends in water treatment of the wetland. The annual treatment efficiency of T-P was very high in the early stages of vegetation growth with high concentration of inflow water. However, it was confirmed that the concentration of inflow water decreased, vegetation stabilized, and the treatment efficiency gradually decreased as the soil was saturated. The findings of the study suggest that artificial wetlands can be an effective method for controlling harmful algal blooms by alleviating pollutant load from the tributaries of Daechung Reservoir.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.476-476
• /
• 2022

농업용수는 전통적 기능으로 농업용수 그 자체로서의 기능과 시대적 요구에 따른 지역용수로서의 기능을 가진다. 농업용수 그 자체의 기능으로 가장 중요한 것은 관개용수이며, 논, 밭관개, 하우스 시설농업에의 용수공급이다. 농업용수의 실 수요량 측면에서는 논용수가 전체용수 수요량의 60.1%로 가장 많은 양을 차지하고 있으며, 다음으로는 밭용수가 18.6%, 그 외 생활용수, 공업용수, 환경용수, 축산용수 등으로 이용되고 있다. 농업용수 수요 측면에서 논용수의 비중이 가장 높게 나타나기 때문에 본 연구에서는 농업용수 공급에 따라 농업용저수지-관개수로-논에 이르는 공급단계별 수질변화를 분석하였다. 본 연구는 경기, 충남 권역의 오염도가 높은 3개 농업용저수지를 대상으로 하였으며, 농업용수를 본격적으로 공급하는 5월부터 관개가 종료되는 10월까지 농업용저수지와 관개수로, 논을 대상으로 수온, TOC, Chl-a 등 10개 항목을 분석하여 나타내었다. 연구기간동안 수온의 변화는 18.6~34.6 ℃로서 관개수로에 가장 낮고, 논에서 가장 높은 값을 보여 주었으며, 공급단계별 평균 수온은 저수지(R) 27.6 ℃, 관개수로(C) 26.4 ℃, 논(P) 28.4 ℃로 논에서 수온증가가 나타났다. pH는 7.4~9.7의 범위로 저수지에서 최고값, 논에서 최저값을 보였으며, 공급단계별 평균값은 R 9.1, C 8.3, P 8.0으로 저수지, 수로, 논으로 이동하면서 감소하였다. 전기전도도(EC)는 저수지 수질오염도에 따라 다양하게 나타났으며, 공급단계별 평균값은 R 706.3 uS/cm, C 585.5 uS/cm, P 771.2 uS/cm로 논에서 가장 높은 값으로 보였으며, 이는 논에서 추가적인 영양분 공급에 의한 것으로 보였다. 평균 용존산소량(DO)은 R 6.3, C 4.0, P 4.5로 저수지에서 가장 높고, 수로에서 가장 낮게 나타났다. 유기물 지표인 COD와 TOC의 변화를 보면 평균 COD R 21.7 mg/L, C 14.5 mg/L, P 22.7 mg/L, 평균 TOC R 11.2 mg/L, C 8.5 mg/L, P 12.3 mg/L로 두 항목 모두 논에서 가장 높은 값을, 수로에서 가장 낮은 값을 나타내었다. 반면 엽록소 a 평균 농도는 R 128.4 mg/m³, C 54.3 mg/m³, P 31.7 mg/m³로 저수지의 내부생산으로 다량 발생한 조류가 수로와 논으로 이동하면서 급격하게 감소하여 나타났다. 이는 저수지와 논의 유기물 성상이 다름을 보여준다. 영양염류인 총인(TP)의 평균값 변화를 보면 R 0.302 mg/L, C 0.374 mg/L, P 0.384 mg/L로, 저수지에서 수로, 논으로 이동하면서 점차 증가하여 나타났다. 이는 농업용저수지에서 수로, 논으로 관개용수가 이동하면서 오염수 유입 또는 비료 등의 투입이 이루어진 결과로 판단된다. 이와 같이, 농업용저수지의 수질이 논에 그대로 유지되어 유입되지 않고 공급단계에 따라 변화하고 있으므로 항목별 수질 변화 특성을 이해한 후 농업용수 수질관리가 이루어 져야 할 것이다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.42-42
• /
• 2022

지금까지도 유역에서의 녹조 모니터링은 현장채수를 통한 점 단위 모니터링에 크게 의존하고 있어 기후, 유속, 수온조건 등에 따라 수체에 광범위하게 발생하는 녹조를 효율적으로 모니터링하고 대응하기에는 어려운 점들이 있어왔다. 또한, 그동안 제한된 관측 데이터로 인해 현장 측정된 실측 데이터 보다는 녹조와 관련이 높은 NDVI, FGAI, SEI 등의 파생적인 지수를 산정하여 원격탐사자료와 매핑하는 방식의 분석연구 등이 선행되었다. 본 연구는 녹조의 모니터링시 정확도와 효율성을 향상을 목표로 하여, 우선은 녹조 측정장비를 활용, 7000개 이상의 녹조 관측 데이터를 확보하였으며, 이를 바탕으로 동기간의 고해상도 위성 자료와 실측자료를 매핑하기 위해 다양한Machine Learning기법을 적용함으로써 그 효과성을 검토하고자 하였다. 연구대상지는 낙동강 내성천 상류에 위치한 영주댐 유역으로서 데이터 수집단계에서는 면단위 현장(in-situ) 관측을 위해 2020년 2~9월까지 4회에 걸쳐 7291개의 녹조를 측정하고, 동일 시간 및 공간의 Sentinel-2자료 중 Band 1~12까지 총 13개(Band 8은 8과 8A로 2개)의 분광특성자료를 추출하였다. 다음으로 Machine Learning 분석기법의 적용을 위해 algae_monitoring Python library를 구축하였다. 개발된 library는 1) Training Set과 Test Set의 구분을 위한 Data 준비단계, 2) Random Forest, Gradient Boosting Regression, XGBoosting 알고리즘 중 선택하여 적용할 수 있는 모델적용단계, 3) 모델적용결과를 확인하는 Performance test단계(R², MSE, MAE, RMSE, NSE, KGE 등), 4) 모델결과의 Visualization단계, 5) 선정된 모델을 활용 위성자료를 녹조값으로 변환하는 적용단계로 구분하여 영주댐뿐만 아니라 다양한 유역에 범용적으로 적용할 수 있도록 구성하였다. 본 연구의 사례에서는 Sentinel-2위성의 12개 밴드, 기상자료(대기온도, 구름비율) 총 14개자료를 활용하여 Machine Learning기법 중 Random Forest를 적용하였을 경우에, 전반적으로 가장 높은 적합도를 나타내었으며, 적용결과 Test Set을 기준으로 NSE(Nash Sutcliffe Efficiency)가 0.96(Training Set의 경우에는 0.99) 수준의 성능을 나타내어, 광역적인 위성자료와 충분히 확보된 현장실측 자료간의 데이터 학습을 통해서 조류 모니터링 분석의 효율성이 획기적으로 증대될 수 있음을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.15-17
• /
• 2022

In the aftermath of the avian influenza that occurred from the second half of 2020 to the beginning of 2021, 17.8 million laying hens were slaughtered. Although the government invested more than 100 billion won for egg imports as a measure to stabilize prices, the effort was not that easy. The sharp volatility of egg prices negatively affected both consumers and poultry farmers, so measures were needed to stabilize egg prices. To this end, the egg prices were successfully predicted in this study by using the analysis algorithm of a machine learning regression. For price prediction, a total of 8 independent variables, including monthly broiler chicken production statistics for 2012-2021 of the Korean Poultry Association and the slaughter performance of the national statistics portal (kosis), have been selected to be used. The Root Mean Square Error (RMSE), which indicates the difference between the predicted price and the actual price, is at the level of 103 (won), which can be interpreted as explaining the egg prices relatively well predicted. Accurate prediction of egg prices lead to flexible adjustment of egg production weeks for laying hens, which can help decision-making about stocking of laying hens. This result is expected to help secure egg price stability.