• Korean Journal of Fisheries and Aquatic Sciences
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• v.18 no.6
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• pp.538-544
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• 1985

This study was carried cut to evaluate the water quality of spring waters in Pusan area(see Fig. 1). In this experiment, twenty-five water samples were collected from 5 stations from December 1983 to August 1984. Range and mean values of constituents of the samples are as follows: pH $5.80{\sim}7.25$, 6.60; water temperature $6.0{\sim}23.0^{\circ}C,\;12.9^{\circ}C$; total residue $33.0{\sim}325mg/l$, 121.2mg/l; alkalinity $4.75{\sim}51.6mg/l$, 24.1mg/l; hardness $9.47{\sim}85.0mg/l$, 30.3mg/l; electrical conductivity $0.495{\sim}2.750{\times}^2{mu}{\mho}/cm,\;1.239{\times}10^2{\mu}{\mho}/cm$;turbidity $0.54{\sim}7.80$NTU, 2.04NTU; $KMnO_4$ consumed $0.51{\sim}8.47mg/l$, 1.96mg/l; chloride ion $4.91{\sim}36.0mg/l$, 12.55mg/l; fluoride ion ND-0.30ppm, 0.08ppm; nitrate-nitrogen ND-8.94mg/l, 1.94m:g/l; nitrite-nirogen ND-0.10mg/l, 0.03mg/l; ammonia-nitrogen ND-0.16mg/l, 0.03mg/l: phosphate-phosphorus ND-0.09mg/l, 0.03mg/l; silicate-silicious $0.42{\sim}22.7ng/l$, 7.96mg/l; copper ND-10.5ppb, 2.46ppb; lead ND-22.7ppb, 3.54ppb; zinc ND-103ppb, 21.33ppb; iron $20.3{\sim}2,800ppb$, 801.72ppb, respectively. Arsenic, cyan, cadmium, manganese, mercury, chrome and phenol were not detected. Total residue, electrical conductivity, turbidity and chloride ion of station 1 (Milrakdong) were higher than others as 178.1mg/l, $2.127{\times}10^2{\mu}{\mho}/cm$, 3.16NTU and 16.32mg/l. The concentration of silicious had a great influence on precipitation. The concentration of fluoride ion of spring waters was lower as 0.08ppm than the criterion for drinking water as 1ppm, while iron was exceed 2.7 times as 801.72ppb.

• The Journal of Engineering Geology
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• v.20 no.1
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• pp.79-87
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• 2010

Field water qualities (temperature, pH, Eh, EC, DO) was monitored by 6 times March to September 2009 on background water (BW) and acid mine drainage (AMD0, AMD1, AMD2 and AMD3 points), and flow rate was measured on AMD0 point. Acid mine drainage flowed out from abandoned Ilgwang mine were high acid waters that lower than pH 3, and Eh component was ranged 400 to 600 mV. EC measured on acid mine drainage were higher over 10 times than background water, DO component was increased by reaction on the air during the water flow from AMD0 point to AMD4 point. Heavy metal concentrations in acid mine drainage were ordered Fe > Cu > Zn > Mn > As > Cd, and Fe concentration was highest for 81.870~474.30 mg/L. Monitoring periods measured maximum concentrations of heavy metals were May for As and Cd, June for Fe, July for Cu, Zn and Mn. The periods measured minimum concentrations were monitored April for Cd and Mn, September for Fe, Cu, Zn and As. Discharge mass of heavy metal components were calculated 53.44 kg for Fe, 6.25 kg for Cu, 5.26 kg for Zn, 2.13 kg for Mn, 0.14 kg for As and 0.04 kg for Cd, respectively. Total discharge mass of heavy metal components were calculated 67.26 kg for 1 day, and Fe component was taken 79% of total mass.

• Journal of Life Science
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• v.20 no.7
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• pp.1073-1077
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• 2010

Fungi, including allergenic, pathogenic or toxigenic species, may have direct effects on human health, interfere with the disinfection process and maintenance of chlorine residual, and add to taste and odor problems. We surveyed distribution of waterborne fungi from raw water in Busan metropolitan city using the EPA standard method. According to the survey, conducted from March 2008 to October 2008, the number of fungi in raw water was high in September and low in April. Quantitative enumeration of fungi per 100 ml of raw water ranged from 5 to 64 CFU, and a higher number was detected in the Mulgum region compared to the Maeri region. Total fungi numbers highly correlated with pH, water temperature and total coliform in this area. Predominant fungi genera grown in medium were identified as Aspergillus, Penicillum, Histoplasma, Rhizopus, Trichophyton, Mucor and Sporthrix species. Aspergillus flavus and Penicillum notatum were particularly dominant in both areas. There were a total of 6 and 9 species detected in the Mulgum and Maeri regions respectively, and the number of species was more verified in the Maeri region than the Mulgum region.

• Korean Journal of Microbiology
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• v.39 no.2
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• pp.95-101
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• 2003

The total bacterial numbers, Eubacterial community structures and environmental factors which affect bacterial community were estimated monthly using DAPI and fluorescent in situ hybridization monthly, from June to November 2000 to evaluate the correlation between the bacterial community and environmental factors in eutrophic agricultural Masan reservoir in Asan. Average water temperatures varied from 12.3 to $27.5^{\circ}C$, pH 7.5 to 9.0, DO 7. I~12.8 mg/L, COD 6.4~13.0 mg/L, chlorophyll a 30.5~99.0 mg/㎥, SS 7.S~25.7 mg/L, TN 1.748~3.543 mg/L., and TP 0.104~0.581 mg/L, respectively. Total bacterial numbers showed high ranges from 0.4 to 9.6$\times$ $10^{6}$ cells/ml, and these indicated the mesotrophic or eutrophic state. The ratio of Eubacteria to total bacteria was 67.6-88.0%, which was higher than that in other reservoir. The relationships of total bacteria and Eubacteria community were more significant with organic nitrogen (Org-N), and organic phosphorus (Org-P) than with water temperature. Proteobacteria groups showed strongly significant relationships with Org-P and Org-N and significant relationships with water temperature, conductivity, COD, and inorganic nitrogen. C-F group was the most significant with Org-N, and HGC group with water temperature. However, relationships of Chl-a, pH, DO and SS showed no significance with any bacterial community. These results were different from other studies, because of the specific characteristics of Masan reservoir such as old, shallow and eutrophic states. The seasonal variation of bacterial community in Masan reservoir does not seem to depend on phytoplankton dynamics but on storm event and organic materials from watershed and the sediment of reservoir.

• Journal of Navigation and Port Research
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• v.35 no.3
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• pp.259-263
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• 2011

This study explores ways to improve the actual conditions of ocean environment by conducting a comparative study on the current sea-water quality of Busan Metropolitan City and Incheon Metropolitan City that are representative sea port cities in Korea. The indices used to evaluate the sea-water quality include water temperature, salt content, PH, DO, COD, DIN, T-N, DIP, T-P, Sio2-Si, floating materials, and Chi-a. The findings of the analysis can be summarized as follows: First, ocean environmental states of Busan Metropolitan City and Incheon Metropolitan City are getting increasingly worse between the year of 2000 and 2003. Second, T-N, DIP and T-P have been main contributors in worsening ocean environmental states of Busan Metropolitan City and Incheon Metropolitan City.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.2026-2031
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• 2010

연구지역인 수영지역은 부산 동남부 해안가에 위치한 도심지역으로서 수영만과 수영강에 직접 접하고 있어 해수침입의 가능성이 존재하고 있다. 본 연구의 목적은 해안가에 위치한 도심지역에서 해수면 이하의 지하수 수위가 분포하고 있고, 이에 따른 지하수 수위 하강의 발생 원인과 해수침입에 의한 지하수 수질 오염에 관한 연구를 수행하였다. 연구지역에서 지하수 수위 및 현장 간이수질(수온, 수소이온농도, 산화-환원전위, 전기전도도, 염도, 용존산소)의 현장조사는 갈수기(2007년 12월)와 풍수기(2008년 7월과 2009년 8월)로 구분하여 약 140여개 관정을 대상으로 실시하였다. 또한, 정밀 지하수 수질 분석을 위하여 2009년 8월에 50지점의 수질 시료(지하수 44지점, 유출지하수 1지점, 수영강 2지점, 해수 3지점)를 대상으로 지화학적 분석을 실시하였다. 지하수 수위 및 수질을 조사한 결과, 갈수기와 풍수기에 상관없이 지하수 수위가 해수면 이하인 지역에서는 해수침입의 가능성이 나타났다. 지하수 수질 유형은 일반 지하수를 지시하는 $Ca(HCO_3)_2$ 유형, 해수침입이나 인위적인 오염 가능성을 지시하는 $NaHCO_3$ 유형, $CaSO_4$ 유형 및 $CaCl_2$ 유형과 직접적인 해수침입을 지시하는 NaCl 유형으로 분류되었다. 연구지역에서 지하수 수위 하강의 원인을 규명하기 위해 지하수 이용량과 지하철에서 발생하는 유출지하수량의 조사를 실시하였다. 지하수 이용량 조사 결과, 306개소에서 $1,531,000m^3$/년을 이용하는 것으로 나타났고, 지하철의 유출지하수량은 6개의 역사에서 $751,000m^3$/년이 발생하고, 이는 지하수 개발가능량인 $951,000m^3$/년의 2.4배를 초과하여 지하수가 배출되어 지하수 수위하강을 초래하고 있다. 지하수 수위의 하강이 발생하는 지역과 비교 분석한 결과, 수영만에 위치한 광안리해수욕장의 유락시설이 밀집한 지역과 유출지하수가 발생하는 역사 주변 지역에서 지하수 수위의 하강이 크게 일어나고 있는 것으로 나타났다. 연구지역에서는 지하수의 이용량과 지하철에서 발생하는 유출지하수에 의해 지하수 수위의 하강이 크게 일어나고, 이들 지역에 해수침입에 의한 지하수 수질 오염이 크게 나타나는 것으로 조사되었다. 또한, 수영강과 인접한 지역에서는 해수의 영향을 받고 있는 수영강의 유입으로 지하수가 염수화 되어 가고 있는 것으로 나타났다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.374-380
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• 2022

This paper shows the results of a study that predicts changes in seawater conditions in sea farms using machine learning-based long short term memory (LSTM) algorithms. Hardware was implemented using dissolved oxygen, salinity, nitrogen ion concentration, and water temperature measurement sensors to collect seawater condition information from sea farms, and transferred to a cloud-based Firebase database using LoRa communication. Using the developed hardware, seawater condition information around fish farms in Tongyeong and Geoje was collected, and LSTM algorithms were applied to learning results using these actual datasets to obtain predictive results showing 87% accuracy. Flask and REST APIs were used to provide users with predictive results for each of the four parameters, including dissolved oxygen. These predictive results are expected to help fishermen reduce significant damage caused by fish group death by providing changes in sea conditions in advance.

• Journal of Wetlands Research
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• v.26 no.2
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• pp.127-138
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• 2024

The river ecosystems are influenced by numerous human activities such as agriculture and industrial operations, and benthic macroinvertebrates are utilized as important biological indicators. In this study, we aimed to assess the impact of land use surrounding rivers on river ecosystems in two industrial areas and two agricultural areas in Pyeongtaek city. We measured water temperature, dissolved oxygen (DO), and pH for physicochemical water quality assessment, and conducted water environment evaluation using benthic macroinvertebrates, cluster analysis, BMI, and ESB. Through water environment assessment, the environmental condition of rivers in agricultural areas was found to be more favorable compared to those in industrial areas. Consequently, it was observed that the impact on river ecosystems varied depending on the differences in anthropogenic activities.

• Journal of the Korean Society of Marine Environment & Safety
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• v.15 no.4
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• pp.315-328
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• 2009

Long-term trends and distribution patterns of water quality were investigated in the Garolim coastal areas of Yellow Sea, Korea from 1998 to 2007. Water samples were collected at 3 stations and physicochemical parameters were analyzed including water temperature, salinity, suspended solids(SS), chemical oxygen demand(COD), dissolved oxygen(DO) and nutrients. Spatial distribution patterns were not clear among stations but the seasonal variations were distinct except pH and ammonia. The trend analysis by principal component analysis(PCA) during twenty years revealed the significant variations in water quality in the study area. Annual water qualities were clearly classified into 4 clusters by PCA; year cluster 1997, 1998 and 2000-2002, 1999 and 2003-2006/2008. By this multi-variate analysis the annual trends were summarized as follows; In recent years, salinity increased, whereas dissolved inorganic nitrogen, nitrate nitrogen and COD decreased and water quality generally continued to be in good condition in Gsrolim coastal areas without inflow of freshwater from land. Garolim coastal areas are required to be conserved continuously as important coastal areas for fisheries.

• Journal of the Korean Society of Marine Environment & Safety
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• v.15 no.4
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• pp.297-313
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• 2009

Long-term trends and distribution patterns of water quality were investigated in the Gunsan coastal areas of Yellow Sea, Korea from 1972 to 2006. Water samples were collected at 6 stations and physicochemical parameters were analyzed including water temperature, salinity, suspended solids(SS), chemical oxygen demand(COD), dissolved oxygen(DO) and nutrients. Spatial distribution patterns of temperature, DO and SS were not clear among stations but the seasonal variations were distinct except COD and SS. The trend analysis by principal component analysis(PCA) during 24 years revealed the significant variations in water quality in the study area. Spatial water qualities were clearly classified into 3 clusters by PCA; station cluster 1, 2~4, and 5~6. Annual water qualities were clearly classified into 4 surface water clusters and 5 bottom water clusters by PCA. By this multi-variate analysis. The annual trends were summarized as follows; Salinity, pH and DO tended to increase since late 1970's, COD to increase since 1987, and SS to decrease and nutrients to increase in Gunsan coastal waters due to the input of fresh water from land same as in Kyoungin coastal area, Asan coastal area and Choensoo bay.