기후변화에 따른 소하천에서의 수온 모의연구
Water temperature assessment on the small ecological stream under climate change
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수온은 하천의 물리적·생물학적 과정에 지대한 영향을 미치는 인자로서 어류를 비롯한 수생생태계에 대한 제약조건으로 작용한다. 기후변화로 인하여 실질적인 환경의 변화가 나타나고 있는 현실에서 수온 변화에 대한 예측은 필수적이라 하겠다. 본 연구의 목적은 자연 소하천을 대상으로 하천 수온을 모의 및 그 효율을 비교 분석하고, 향후 기후변화로 인한 하천 수온의 변동을 고찰하는 것이다. 이를 위하여 본 연구에서는 캐나다 동북부의 Fourchue 강을 대상으로 하여 2011년부터 2014년까지의 하천수온을 측정하고 결정론적, 확률론적, 비선형 수온모형을 적용하여 각각의 방법론에 따른 효율성을 비교 분석하여 미래 수온 모의를 위한 모형으로 결정론적 모형인 CEQUEAU 모형을 선정하였다. 또한, 선정된 모형을 기반으로 하여 CMIP5 기후모형과 RCP 2.6, 4.5, 8.5 기후변화 시나리오를 이용하여 해당 소하천 유역의 미래 수온 변동성을 예측하고 분석하였다. 연구결과, Fourchue 강의 수온은 6월 중 평균 수온은 0.2 ~ 0.7˚C가 상승하고, 9월은 0.2 ~ 1.1˚C가 감소하는 것으로 나타나 실질적인 수온환경의 변화가 발생하는 것으로 나타나서 이에 대한 주의가 요구된다. 또한, 해당 수역에 서식하고 있는 연어류의 치사상한수온을 넘는 경우도 발생하여 이에 대한 대책이 시급한 것으로 판단된다.
Abstract
Water temperature affects physical and biological processes in ecologies on river system and is important conditions for growth rate and spawning of fish species. The objective of this study is to compare models for water temperature during the summer season for the Fourchue River (St-Alexandre-de-Kamouraska, Quebec, Canada). For this, three different models, which are CEQUEAU, Auto-regressive Moving Average with eXogenous input and Nonlinear Autoregressive with eXogenous input, were applied and compared. Also, future water temperature in the Fourchue river were simulated and analyzed its result based on the CMIP5 climate models, RCP 2.6, 4.5, 8.5 climate change scenarios. As the result of the study, the water temperature in the Fourchue river are actually changed and median water temperature will increase 0.2 ~ 0.7 ℃ in June and could decrease by 0.2~1.1℃ in September. Also, the UILT (24.9℃) for brook trout are also likely to occurred for several days.
참고문헌 (60)
- Ahmadi‐Nedushan, B, "Predicting river water temperatures using stochastic models : case study of the Moisie River(Québec, Canada)", Hydrological Processes, 21(1), pp.21~34 (2007)
- Ahn, JB, "A Study on Correlations between Air-Temperature and Precipitation in Korea and SST over the Tropical Pacific", Asia-Pacific J. of Atmospheric Sciences, 33(3), pp.487~495 (1997)
- 안종호, "기후변화에 따른 지표수의 수온 영향평가", 한국물환경학회지, 26(1), pp.133~139 (2010), 한국물환경학회
- Bask, M, "Testing chaotic dynamics via Lyapunov exponents", Physica D : Nonlinear Phenomena, 114(1), pp.1~2 (1998)
- Battiti, R, "Using mutual information for selecting features in supervised neural net learning", IEEE Transactions on Neural Networks, 5(4), pp.537~550 (1994)
- Barrow, E, "Climate Variability and Change in Canada. Past, Present and Future", Meteorological Service of Canada, ~ (2004)
- Benyahya, L, "Comparison of non-parametric and parametric water temperature models on the Nivelle River, France", Hydrological Sciences Journal, 53(3), pp.640~655 (2008)
- Bouck, GR, "Effects of Holding Temperatures on Reproductive Development in Adult Sockeye Salmon(Oncorhynchus Nerka)", 26 th Annual Northwest Fish Culture Conference (1975)
- Breaker, LC, "Predicting offshore temperatures in Monterey Bay based on coastal observations using linear forecast models", Ocean Modelling, 27(1), pp.82~97 (2009)
- A Test for Independence Based on the Correlation Dimension, "Brock, WA", Department of Economics, University of Wisconsin at Madison, University of Houston, and University of Chicago. Social Science Research, 8762~ (1987)
- Caissie, D, "The thermal regime of rivers : a review", Freshwater Biology, 51(8), pp.1389~1406 (2006)
- Caissie, D, "Predicting water temperatures using a deterministic model: application on Miramichi River catchments (New Brunswick, Canada)", J. of Hydrology, 336(3), pp.303~315 (2007)
- Caldwell, RJ, "Statistical modeling of daily and subdaily stream temperatures : Application to the Methow River Basin, Washington", Water Resources Research, 49(7), pp.4346~4361 (2013)
- Danner, EM, "River temperature forecasting: A coupled-modeling framework for management of river habitat. Selected Topics in Applied Earth Observations and Remote Sensing", IEEE Journal, 5(6), pp.1752~1760 (2012)
- Diaconescu, E, "The use of NARX neural networks to predict chaotic time series", WSEAS Transactions on Computer Research, 3(3), pp.182~191 (2008)
- Diversi, R, "Identification of ARMAX models with noisy input and output", World Congress, 18(1), pp.13121~13126 (2011)
- Fry, FEJ, "Effects of the environment on animal activity", Univ. Toronto Studies, Biol. Ser, 55, pp.1~62 (1947)
- Grbić, R, "Stream water temperature prediction based on Gaussian process regression", Expert Systems with Applications, 40(18), pp.7407~7414 (2013)
- Hadzima-Nyarko, M, "Implementation of Artificial Neural Networks in Modeling the Water-Air Temperature Relationship of the River Drava", Water Resources Management, 28(5), pp.1379~1394 (2014)
- Hasnain SS, "Key Ecological Temperature Metrics for Canadian Freshwater Fishes", Applied Research and Development Branch. Ontario Ministry of Natural Resources, ~ (2010)
- Haykin, S, "Neural networks: a comprehensive foundation" (1999), Prentice hall
- Hyndman, RJ, "Automatic time series for forecasting: the forecast package for R (No. 6", 07), 2007
- IPCC, "Region by Region: The Science of AR5 WG1 and the Consequences", IPCC, ~ (2013)
- Jeong, DI, "Development of a stochastic water temperature model and projection of future water temperature and extreme events in the Ouelle River basin in Québec. Canada", River Research and Applications, 29(7), pp.805~821 (2013)
- Johnson FA, "Stream temperatures in an alpine area", J. of Hydrology, 14(3), pp.322~336 (1971)
- Jourdonnais JH, "Structure and calibration strategy for a water temperature model of the lower Madison River", Montana. Rivers, 3(3), pp.153~169 (1992)
- 주세종, "기후변화가 남해(북부 동중국해 포함) 해양생태계에 미치는 영향 평가 시범 연구 II", Ocean and Polar Research, 35(2), pp.123~125 (2013), 한국해양과학기술원[DOI]
- Jung, HD, "Long Term Trend of Change In Water Temperature and Salinity in Coastal Waters around Korean Peninsula", J. of the Korean society of marine environment & safety, 9(2), pp.59~64 (2003)
- Kothandaraman, V, "Air-water temperature relationshop in illinois", J. of the American Water Resources Association, 8(1), pp.38~45 (1972)
- 김봉태, "공간패널모형을 이용한 연안어업 생산량과 기후변화 요소의 관계에 대한 연구", 수산경영론집, 46(3), pp.63~72 (2015), 한국수산경영학회[DOI]
- 김수전, "기후변화가 평창강 금강모치의 생태서식 환경에 미치는 영향 평가", 한국습지학회지, 15(2), pp.271~280 (2013), 한국습지학회
- Larnier, K, "Water temperature modeling in the Garonne River (France)", Knowledge and Management of Aquatic Ecosystems, 398(1), pp.4~ (2010)
- 이길하, "지구기후모형 기온변화에 따른 미래 하천생태환경에서의 수온 예측", 한국환경과학회지, 25(6), pp.877~888 (2016), 한국환경과학회[DOI]
- Levene, H, "Contributions to Probability and Statistics:Essays in Honor of Harold Hotelling", pp.278~292 (1960), Stanford University Press
- Ljung GM, "On a Measure of a Lack of Fit in Time Series Models", Biometrika, 65(2), pp.297~303 (1978)
- Lynch, P, "The Emergence of Numerical Weather Prediction", pp.206~208 (2006), Cambridge University Press
- Matthews, K, "California Golden Trout: Can Their Warming Streams Handle Other Stressors?", 144th Annual Meeting of the American Fisheries Society (2014), Afs
- Maier, HR, "Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications", Environmental Modelling & Software, 15(1), pp.101~124 (2000)
- Maurer, EP, "The utility of daily large-scale climate data in the assessment of climate change impacts on daily streamflow in California", Hydrology and Earth System Sciences, 14(6), pp.1125~1138 (2010)
- Meinshausen, M, "The RCP greenhouse gas concentrations and their extensions from 1765 to 2300", Climatic change, 109(1-2), pp.213~241 (2011)
- Mohseni, O, "Stream temperature", air temperature relationship: a physical interpretation, 1999, pp.218(3), 128~141
- Morin G, "Mode`le CEQUEAU: manuel d’utilisation" (1981), INRS-Eau, Ste-Foy
- Le mode`le de simulation de quantite´ CEQUEAU-ONU, Manuel de re´fe´rences, "Morin G", Organisation des Nations-Unies et INRS-Eau, 252~, pp.Rapport de recherche no. 519 (1998)
- Moriasi, DN, "Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations", Transactions of the ASABE, 50(3), pp.885~900 (2007)
- Myers, JL, "Research Design and Statistical Analysis", pp.508~ (2003), Lawrence Erlbaum
- Nash, JE, "River flow forecasting through conceptual models part I—A discussion of principles", J. of Hydrology, 10(3), pp.282~290 (1970)
- Nunn, AD, "Is water temperature an adequate predictor of recruitment success in cyprinid fish populations in lowland rivers?", Freshwater Biology, 48(4), pp.579~588 (2003)
- 박영규, "지구시스템 모형을 이용한 21세기 동중국해와 남해의 수온과 일차생산 변화 평가", Ocean and Polar Research, 34(2), pp.229~237 (2012), 한국해양과학기술원[DOI]
- Parra, I, "Unravelling the effects of water temperature and density dependence on the spatial variation of brown trout (Salmo trutta) body size", Canadian J. of Fisheries and Aquatic Sciences, 69(5), pp.821~832 (2012)
- Seiller, G, "Climate change impacts on the hydrologic regime of a Canadian river: comparing uncertainties arising from climate natural variability and lumped hydrological model structures", Hydrology and Earth System Sciences, 18(6), pp.2033~2047 (2014)
- 성기탁, "한국 연근해 수온의 시공간적 장기변동 특성", 해양환경안전학회지, 16(4), pp.353~360 (2010), 해양환경안전학회
- Sillmann, J, "Climate extremes indices in the CMIP5multimodel ensemble: Part 1. Model evaluation in the present climate", J. of Geophysical Research: Atmospheres, 118(4), pp.1716~1733 (2013)
- Smith, N, "Evaluation of Growth, Survival, and Recruitment of Chinook Salmon in Southeast Alaska Rivers", 144th Annual Meeting of the American Fisheries Society (2014), Afs
- Stefan, HG, "Stream temperature estimation from air temperature", J. of the American Water Resources Association, 29(1), pp.27~45 (1993)
- Webb, BW, "Recent advances in stream and river temperature research", Hydrological Processes, 22(7), pp.902~918 (2008)
- Wenger, SJ, "Flow regime, temperature, and biotic interactions drive differential declines of trout species under climate change", Proceedings of the National Academy of Sciences, 108(34), pp.14175~14180 (2011)
- Wismer, DA, "Temperature relationships of Great Lakes fishes. Great Lakes Fishery Commission Special Publication" (1987), Great Lakes Fishery Commission
- 이혜숙, "기상 관측자료 및 RCP 기후변화 시나리오를 고려한 용담댐 유입하천의 유량 및 수온변화 전망", 한국물환경학회지, 32(2), pp.173~182 (2016), 한국물환경학회
- 윤동영, "지역 규모에 따른 한국 남부해역 표층수온의 시·공간적 변동 패턴 비교", 한국지리정보학회지, 14(4), pp.182~193 (2011), 한국지리정보학회
- 윤성완, "기후변화가 주암호 수온성층구조에 미치는 영향 예측", 한국물환경학회지, 30(5), pp.491~502 (2014), 한국물환경학회
