• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2017년도 공동학술발표회
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• pp.194-194
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• 2017

• 한국물환경학회지
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• 제30권2호
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• pp.138-147
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• 2014

In order to determine the best operating rules for the Nakdong River, three cases were applied to analyze the simulated results of water supply capacity by HEC-ResSim model. This study discussed to present the best operating rules for conjunctive operating of existing the dams and new constructed the weirs through system network. The system network was constructed considering the water supply, the river environment and the operating facility. The water supply capacities are separately evaluated for each case applying the best rules. It is case1 that the dams are operated individually, case2 that the dams are operated in conjunction with the others dams, and case3 that dams and weirs are operated in conjunction with the others dams-weirs. Comparing the cases, case 3 has shown the best water supply capacity of the Nakdong River.

• 한국식품위생안전성학회지
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• 제24권4호
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• pp.307-311
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• 2009

The objectives of this study were to compare the biochemical profiles with biogroups for the identification of Cronobacter spp. (formally known as Enterobacter sakazakii) isolates using biochemical identification kits. A total of 38 Cronobacter spp. contained 5 clinical, 31 food, and 2 environmental isolates were used. All isolates were identified as Cronobacter spp. with the Vitek II system and ID 32E kit. The API 20E kit identified all isolates as Cronobacter spp. but the percentage identification was 51.1% for 16 of 38 isolates. These strains were contained to Biogroup 2, 9, 10, and 11. The utilization of inositol is a factor determining the percentage identification of Cronobacter spp. with the API 20E kit.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2020년도 추계학술대회
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• pp.49-49
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• 2020

• 한국작물학회:학술대회논문집
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• 한국작물학회 2021년도 추계학술대회
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• pp.153-153
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• 2021

• 한국작물학회:학술대회논문집
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• 한국작물학회 2021년도 추계학술대회
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• pp.151-151
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• 2021

• 한국작물학회:학술대회논문집
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• 한국작물학회 2021년도 추계학술대회
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• pp.150-150
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• 2021

• 한국물환경학회지
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• 제39권1호
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• pp.46-60
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• 2023

Climate change causes fluctuations in water quality in the aquatic environment, which can cause changes in water circulation patterns and severe adverse effects on aquatic ecosystems in the future. Therefore, research is needed to predict and respond to water quality changes caused by climate change in advance. In this study, we tried to predict the dissolved oxygen (DO), chlorophyll-a, and turbidity of the Paldang reservoir for about two weeks using long short-term memory (LSTM) and gated recurrent units (GRU), which are deep learning algorithms based on recurrent neural networks. The model was built based on real-time water quality data and meteorological data. The observation period was set from July to September in the summer of 2021 (Period 1) and from March to May in the spring of 2022 (Period 2). We tried to select an algorithm with optimal predictive power for each water quality parameter. In addition, to improve the predictive power of the model, an important variable extraction technique using random forest was used to select only the important variables as input variables. In both Periods 1 and 2, the predictive power after extracting important variables was further improved. Except for DO in Period 2, GRU was selected as the best model in all water quality parameters. This methodology can be useful for preventive water quality management by identifying the variability of water quality in advance and predicting water quality in a short period.

• 한국환경과학회:학술대회논문집
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• 한국환경과학회 2002년도 봄 학술발표대회 발표논문집
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• pp.342-343
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• 2002

• 환경생물
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• 제33권3호
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• pp.352-359
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• 2015

본 연구는 낙동강 본류에 서식하는 Pectinatella magnifica의 출현양상을 조사하기 위해 발생시기인 2014년 7월~11월 동안 기본 분포조사와 출현밀도가 높은 지역을 대상으로 집중조사를 실시하였다. 그 결과, 낙동강 본류 구간 내 Pectinatella magnifica의 부착기질은 인공적으로 형성된 기질에서 12.3%, 자연기질에서 87.7%로써 자연기질에서 매우 높게 확인되었으나 자연기질에 포함된 식물군락의 특정 종에 따른 선호하는 정도는 유의한 차이를 보이지 않았다. 반면 본 조사 결과에서는 고착대상으로 하는 기질의 분포 정도의 차이는 P. magnifica의 분포 차이에 영향을 미치고 있음을 보여주었다. 그러므로 태형동물이 선호하는 출현기질의 증가는 P. magnifica의 성장 및 분포에 영향을 미치는 요인 중 하나로써 작용될 것으로 사료된다.