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NTIS 바로가기한국물환경학회지 = Journal of Korean Society on Water Environment, v.33 no.2, 2017년, pp.130 - 139
송상환 (국립환경과학원 영산강물환경연구소) , 박종환 (국립환경과학원 영산강물환경연구소) , 강태우 (국립환경과학원 영산강물환경연구소) , 김영석 (국립환경과학원 영산강물환경연구소) , 김지현 (국립환경과학원 영산강물환경연구소) , 강태구 (국립환경과학원 영산강물환경연구소)
With the need to evaluate accuracy of real-time measurement of cyanobacterial fluorescence to determine cyanobacterial blooms, this research examined 357 paired data (2013-2016) comprising both microscopic toxic cyanobacterial cell counts and concurrent real-time cyanobacterial concentrations at 2 s...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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남조류의 과다증식으로 발생할 수 있는 문제는? | , 2011; Paerl and Paul, 2012). 남조류의 과다증식은 생태계와 인체에 악영향을 줄 수 있으며 남조류가 생성하는 microsystin과 같은 대사체는 신경독성 및 급성 간 질환과 연관이 있고 종양 촉진(tumor promotion)을 일으킬 수 있는 것으로 알려져 있다(Falconer and Humpage, 2005). 세계보건기구는 microsystinLR에 대한 음용수 가이드라인을 1 μg/L로 설정하고 있고 (Chorus and Bartram, 1999) 일반 위락공간에서는 10 μg/L 미만을 저 위험 수준으로 보고 있다(WHO, 2003). | |
남조류는 어디에서 발견되는가? | 남세균(藍細菌, cyanobacteria)으로 알려진 남조류(藍藻類, blue-green algae)는 담수 호소나 하천에서 흔히 발견되며, 최근 부영양화나 이상기온으로 인한 bloom 증가가 우려되고 있다(Noh et al., 2014; Paerl et al. | |
남조류 세포수가 10,000 cells/mL 이상을 수질관리 강화기준 ‘관심단계’로 설정하고 있는데 기준 초과 여부 판단 방법은? | 환경부는 수질관리강화 기준이 초과되면 모니터링 강화 등의 행정적 조치를 하고 있다. 기준 초과 여부는 채수된 시료를 실험실에서 광학현미경을 이용한 조류 동정과 계수방법을 통해 판단하고 있다(MOE, 2015). 이러한 실험실 기반의 분석은 표준화된 시료 채수절 차와 숙련된 전문인력을 필요로 하고 있다. |
Agha, R., Cires, S., Wormer, L., Dominguez, J. A., and Quesada, A. (2012). Multi-scale Strategies for the Monitoring of Freshwater Cyanobacteria: Reducing the Sources of Uncertainty, Water Research, 46(9), 3043-3053.
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Chorus, I. and Bartram, J. (1999). Toxic Cyanobacteria in Water : A Guide to Their Public Health Consequences, Monitoring, and Management, London ; New York, E & FN Spon on behalf of World Health Organization.
Falconer, I. R. and Humpage, A. R. (2005). Health Risk Assessment of Cyanobacterial (Blue-green Algal) Toxins in Drinking Water, International Journal of Environmental Research and Public Health, 2(1), 43-50.
Gregor, J. and Marsalek, B. (2004). Freshwater Phytoplankton Quantification by Chlorophyll a: A Comparative Study of in vitro, in vivo and in situ Methods, Water Research, 38(3), 517-522.
Gregor, J., Marsalek, B., and Sipkova, H. (2007). Detection and Estimation of Potentially Toxic Cyanobacteria in Raw Water at the Drinking Water Treatment Plant by in vivo Fluorescence Method, Water Research, 41(1), 228-234.
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McLaughlin, D. B. (2012). Assessing the Predictive Performance of Risk-Based Water Quality Criteria Using Decision Error Estimates from Receiver Operating Characteristics (ROC) Analysis, Integrated Environmental Assessment and Management, 8(4), 674-684.
Metz, C. E. (1978). Basic Principles of ROC Analysis, Seminars in Nuclear Medicine, 8(4), 283-298.
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Paerl, H. W., Hall, N. S., and Calandrino, E. S. (2011). Controlling Harmful Cyanobacterial Blooms in a World Experiencing Anthropogenic and Climatic-induced Change, Science of Total Environment, 409(10), 1739-1745.
Paerl, H. W. and Paul, V. J. (2012). Climate Change: Links to Global Expansion of Harmful Cyanobacteria, Water Research, 46(5), 1349-1363.
Park, H. K., Kim, H., Lee, J. J., Lee, J. A., Lee, H., Park, J. H., Seo, J., Youn, S. J., and Moon, J. (2011). Investigation of Criterion on Harmful Algae Alert System using Correlation between Cell Numbers and Cellular Microcystins Content of Korean Toxic Cyanobacteria, Journal of Korean Society on Water Environment, 27(4), 491-498. [Korean Literature]
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Rolland, A., Rimet, F., and Jacquet, S. (2010). A 2-year Survey of Phytoplankton in the Marine Reservoir (France): A Case Study to Validate the Use of an in situ Spectrofluorometer by Comparison with Algal Taxonomy and Chlorophyll a Measurements, Knowledge and Management of Aquatic Ecosystems, 398(02), 1-19.
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