• Korean Journal of Microbiology
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• v.43 no.2
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• pp.106-110
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• 2007

The detection and distribution of Aeromonas in water supplies were investigated by using the USEPA Method 1605. Water samples were collected from the Han River, finished waters and tap waters supplied from Water Treatment Plants in Seoul monthly from July 2002 to December 2003. Aeromonas species in each water sample were quantified based on the development of yellow colonies on the surface of membrane filter using a selective medium (Ampicillin-Dextrin Agar with Vancomycin). The Quality Control (QC) for this study met the acceptance criteria of Method 1605. The concentrations of Aeromonas species in surface water samples ranged from $1.0{\times}10^{0}\;to\;9.8{\times}10^{3}\;CFU/ml$. Aeromonas species were found only in one tap water sample with concentration of 1 CFU/500 ml. No Aeromonas species were found in any finished water samples. Aeromonas species detected here were identified as A. salmonicida(51%), A. caviae(4.7%), A. schubertti(3.4%), A. sobria(3.8%), A. hydrophila(2.1%), and A. ichithiosmia(0.4%). A. salmonicida was the dominant species, which is of no significance to human health. Chlorine resistance of A. salmonicida was evaluated and as a result, 99.99% of A. salmonicida decreased after 30 seconds exposure at residual free chlorine 0.2 mg/L. These suggest that the waters supplied in Seoul may be safe against the pathogenic agent Aeromonas.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.182-182
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• 2018

한강의 제1지류인 홍제천 수계에 속하는 지방2급 하천인 불광천 유역을 연구대상지로 선정하여 기후변화에 따른 유출량 영향성 분석을 수행하였다. 연구대상지인 불광천은 서울특별시의 서북쪽에 위치하여 $21.72km^2$의 유역면적과 9.83km의 유로연장을 갖고 행정구역상 은평구, 마포구, 서대문구에 걸쳐있다. 본 연구에서는 불광천 유역을 503개의 소유역으로 분할하였으며, 유역의 하수관망은 976개의 노드와 989개의 링크를 사용하여 XP-SWMM 모형으로 구축하였다. 또한 국토지리정보원에서 제공하는 1:5000축척의 수치지도를 DTM으로 변환하여 하수관에서 월류된 이후의 2차원 흐름분석을 위한 지형자료로 활용하였다. 기후변화를 고려한 유출량을 분석하기 위해 S0(1961년~2016년)인 1개의 과거기간과 S1(2017년~2046년), S2(2047년~2076년), S3(2077년~2100년)인 3개의 미래기간을 설정하여 총 4개의 시나리오를 구성하였다. 과거기간인 S0는 강우관측소에서 계측된 자료를 사용하여 빈도별 확률강우량을 구하였으며, 미래기간인 S1, S2, S3는 기상청에서 제공하는 기후변화 시나리오인 RCP 4.5의 강우자료를 사용하여 확률강우량을 산출하였다. 빈도별 확률강우량은 S0기간의 강우자료와 가장 유사한 Gumbel 모형을 사용하였으며, 도출된 확률강우량은 치수에 가장 보수적인 Huff의 4분위로 강우를 분포시켜 유출모형에 적용하였다. 976개의 노드 중 불광천 유역의 주요 76개 지점을 선정하여 유역면적에 따른 기후변화의 영향성을 분석하였다. 그 결과 유역면적과 재현기간이 작을수록 최대 유출량은 큰 변동성을 보이는 것으로 나타났으며, 과거기간인 S0 대비 미래기간인 S1, S2, S3의 최대 유출량 비율은 유역면적 100ha를 기준으로 100ha 미만은 80%~200%의 변동성을 100ha이상에서는 120%에 수렴하는 양상을 보이는 것으로 확인되었다.

• Korean Journal of Ecology and Environment
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• v.35 no.2 s.98
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• pp.63-70
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• 2002

Long-term changes of the fish fauna and its community structure from the Jungrang Creek of the Han River system in Seoul were investigeted from 1990 to 2000. Total species occurred during the survey period were 14 species in 6 families, and total individual number was 108,366. Fishes at the Jungrang Creek had not been distributed in the 1980s and 1990 because of heavy water pollution as well as environmental damage in the riparian areas. However, Cyprinus carpio and Carassius auratus in cyprinidae were rehabitated since the early 1990s when the water quality was improved because of foundation of sewage division pipe. Species nombers gradually increased to 6 species in 1996, 9 species in 1998, and 11 species in 2000. Individual numbers rapidly increased to 164 individuals in 1996, 146 individuals in 1998, and 108,094 individuals in 2000. A large number of Cyprinus carpio and Carassius auratus, which are abundantly distributed in the main course of the Han River, were found when they migrate to the upper reaches of the Jungrang Creek for spawning. Mass fish floatings were occurred on the 21st of April and the 11th of June in 2000 due to DO depletion at the lower site (Site 4) of discharging point of Jungrang sewage treatment plant and stagnant spot(Site 3) of dammed pool. Major dominant species were Cyprinus carpio and Carassius auratus (Cyprinidae). Others dominant species were Pseudorasbora lab대 (Cyprinidae) and Silurus asotus (Siluridae). Dominance indices were relatively high (0.79 to 1.00). Species diversity andrichness indices were relatively low (0 to 1.66and 0 to 1.41, respectively). Species diversity and richness indices were slightly higher at the middle reaches (Site 2 and Site 3) than the upper reaches and the mouth of the Jungrang Creek. However, the fish fauna of the Jungrang Creek was very poor and its community structure was very simple.

• Journal of Korean Society of Environmental Engineers
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• v.27 no.6
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• pp.590-598
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• 2005

An adequate method to identify chromium separation, Cr(III) and Cr(VI), in water samples were studied by using High Performance Liquid Chromatography(HPLC) coupled with Inductively Coupled Plasma Mass Spectometer(ICP-MS) equipped with Dynamic Reaction Cell(DRC). The characteristic distribution of Cr(III) and Cr(VI) in the raw water taken at the six water intake stations in Seoul, was analyzed by the method developed by the authors. The chromium species separated by HPLC was isocratically conducted by using tetrabutylammonium phosphate monobasic(1.0 mM TBAP), ethylenediaminetetraacetic acid(0.6 mM EDTA) and 2% v/v methanol as the mobile phase. 5% v/v methanol was used as flushing solvent. A reactive ammonia($NH_3$) gas was used to eliminate the potential interference of $ArC^+$. Several Parameters such as solvent ratio, pH, flow rate and sample injection volume were optimized for the successful separation and reproducibility. Although it has been reported thai the separation sensitivity of Cr(III) is superior to that of Cr(VI), the authors observed Cr(VI) was more sensitive than Cr(III) when ammonia($NH_3$) gas was used as the reaction gas. It took less than 3 minutes to analyze chromium species with this method and the estimated detection limits were $0.061\;{\mu}g/L$ for Cr(III) and $0.052\;{\mu}g/L$, for Cr(VI). According to the results from the analysis on chromium species in the raw water of the six intake stations, the concentrations of Cr(III) ranged from 0.048 to $0.064\;{\mu}g/L$(ave. $0.054\;{\mu}g/L$) while that of Cr(VI) ranged from 0.014 to $0.023\;{\mu}g/L$(ave. $0.019\;{\mu}g/L$). Recovery ratio was very high($90.1{\sim}94.1%$). There were two or three times more Cr(III) than Cr(VI) in the raw water.