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NTIS 바로가기한국하천호수학회지= Korean journal of limnology, v.45 no.3, 2012년, pp.302 - 313
송은숙 (목포해양대학교 연안하구연구센터) , 전송미 (목포해양대학교 연안하구연구센터) , 이어진 (목포해양대학교 환경.생명공학과) , 박도진 (목포해양대학교 환경.생명공학과) , 신용식 (목포해양대학교 연안하구연구센터)
Long-term trends (e.g. 1997~2010) of chlorophyll a and water quality properties of the Yeongsan River were analyzed by using water quality monitoring data collected by the water information system, ministry of environment. Nine monitoring stations were selected along the main channel of the river, a...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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국내 하천이 영향을 많이 받는 요소는 무엇인가? | 일반적으로 수 생태계에서 수질은 계절에 따라 변동하는데 국내 하천의 경우는 특히 몬순 기후의 영향이 큰것으로 알려져 있다(Faithful and Griffiths, 2000; An et al., 2001; An and Shin, 2005). | |
비모수 통계기법은 무엇을 분석하는 데 사용되는가? | , 2001; An and Shin, 2005). 변동이 심하고 정규분포를 보이지 않으며 또한 결측치가 상대적으로 많은 자료를 분석하기 위해 분포모양에 대한 가정없이 가설을 검정하는 비모수 통계기법이 사용되어 왔다(Lettenmaier, 1988; Hirsch et al., 1991). | |
Seasonal Mann-Kendall Test의 단점은 무엇인가? | 그 중에서도 Seasonal Mann-Kendall Test (계절 맨-켄달 검정법)가 대표적인 예이다. 하지만 계절 맨-켄달 검정법은 선형 경향 분석기법으로 분석 시간내에서 변화되는 경향성을 반영할 수 없는 단점이 있어 이를 보완하는 LOWESS (Locally Weighted Scatterplot Smoother) 기법을 사용할 수 있다(Kim and Park, 2004). 국내 하천을 대상으로 이러한 비모수 통계 기법이 사용되었지만, BOD, TN, TP와 같은 일부 수질항목에 제한되어 적용되었다(Lee and Park, 2008, 2009). |
An, K.G. and I.C. Shin. 2005. Influence of the Asian monsoon on seasonal of fluctuations of water quality in a mountainous stream. Korean Journal of Limnology 38(1): 54- 62.
An, K.G., J.W. Seo and S.S Park. 2001. Influences of seasonal rainfall on physical, chemical and biological conditions near the intake tower of Taechung Reservoir. Korean Journal of Limnology 34(4): 327-336.
Cha, J.M., S.E. Shin and G.S. Cha. 1999. Non-point source pollutions of the Youngsan River basins I - The method of land -Use types and rainfall-. Journal of Environmental Impact Assessment 8(4): 41-49.
Cleveland, W.S. 1979. Robust locally weight regression and smoothing scatterplot. Journal of the American Statistical Association 74(3): 829-836.
Faithful, J.W and D.J. Griffiths. 2000. Turbid flow through a tropical reservoir (Lake Dalyymple, Queenland, Australia): Reponses to summer storm event. Lake & Reservoir Management 5: 231-247.
Fujimoto, N. and P. Sudo. 1997. Nutrient-limited growth of Microcystis agerugimosa and Phormidium tenue and competition under various N : P supply ratios and temperatures. Limnology & Oceanography 42: 250-256.
Hirsch, R.M., J.R. Slack and R.A. Smith. 1982, Techniques for trend assessment for monthly water quality data. Water Resources Research 18: 107-121.
Hirsch, R.M., R.B. Alexander and R.A. Smith. 1991. Selection of methods for the detection and estimation of trends in water quality. Water Resources Research 27(5): 803- 813.
Jeong, B.K., Y.S. Shin, N.M. Jang and S.D. Kim. 2008. Nutrient limitation of phytoplankton in the Dongbok Lake: Analyses of long-term data and bioassay experiments. Korean Journal of Limnology 41(3): 412-421.
Kang, S.A. and K.G. An. 2006. Spatio-temporal variation analysis of physico-chemical water quality in the Yeongsan- River watershed. Korean Journal of Limnology 39(1): 73-84.
Kendall, M.G. 1976. Rank Correlation Methods. 4th Ed. Griffin.
Kim, J.H. and S.S. Park. 2004. Long-term trend analyses of water qualities in Nakdong River based on non-parametric statistical methods. Journal of Korean Society on Water Environment 20(1): 63-71.
Lee, H.W. and S.S. Park. 2008. Long-term trend analyses of water qualities in Mangyung watershed. Journal of Korean Society on Water Environment 24(4): 480-487.
Lee, H.W. and S.S. Park. 2009. Trend analysis of water quality in Dongjin River watershed. Korean Journal of Limnology 42(1): 39-47.
Lettenmaier, D.P. 1988. Multivariate nonparametric tests for trend in water quality. Water Resources Bulletin 24(3): 505-512.
Mann, H.B. 1945. Nonparametric tests against trend. Econometrica 13: 245-259.
Ministry of Environment, Water Information System. http:// water.nier. go.kr/.
Sen, P.K. 1968. Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association 63(324): 1379-1389.
Seppala, J., T. Tammimen and S. Kaitala. 1999. Experimental evaluation of nutrient limitation of phytoplankton communities in the Gulf of Riga. Journal of Marine Systems 23: 107-126.
Sin, Y.S., C.H. Lee, K.A. Cho and E.S. Song. 2005. Trends of phytoplankton community and water quality and implications for management in estuarine river systems. Korean Journal of Limnology 38(2): 160-180.
Smith, V.H. 1983. Low nitrogen to phosphorus ratios favor dominance by blue-green alge in lake phytoplankton. Science 221: 669-671.
Song, E.S. and Y.S. Shin. 2008. Spatio-temporal fluctuations of size-structured phytoplankton over and annual cycle in the Youngsan Lake. Korean Journal of Limnology 41(4): 430-540.
Song, E.S., Y.S. Shin, N.I. Jang and J.B. Lee. 2010. Assessment of nutrient and light limitation of phytoplankton in the Youngsan Lake. Korean Journal of Limnology 43(1): 35-43.
Theil, H. 1950. A rank-inveriant method of linear and polynomial regression analysis, I, II and III. Nederlandse Akademie van Wetenschappen. Proceedings 53: 386-392, 521-525, 1397-1412.
Yi, H.H., Y.S. Sin, S.R. Yang, N.I. Chang and D.H. Kim. 2007. Size-structure and primary productivity of phytoplankton from major lakes in Sumjin and Yeongsan watershed. Korean Journal of Limnology 40(3): 419-430.
Yi, S.H., Y.S. Sin, N.I. Chang, J.M. Kim, H.K. Kim, Y.G. Cho and J. Jeong. 2006. Trophic state and water quality in major lakes of the Sumjin and Youngsan River systems. Korean Journal of Limnology 39(3): 296-309.
Yoon, B.B. 2012. A Study of nutrient limitation in estuary using bioassay experiment. Mokpo Maritime University dissertation paper.
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