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Prediction of Climate-induced Water Temperature using Nonlinear Air-water Temperature Relationship for Aquatic Environments

지구기후모형 기온변화에 따른 미래 하천생태환경에서의 수온 예측

  • Received : 2016.04.11
  • Accepted : 2016.05.10
  • Published : 2016.06.30

Abstract

To project the effects of climate-induced change on aquatic environments, it is necessary to determine the thermal constraints affecting different fish species and to acquire time series of the current and projected water temperature (WT). Assuming that a nonlinear regression between the WT at individual stations and the ambient air temperature (AT) at nearby weather stations could represent the best relationship of air-water temperature, This study estimates future WT using a general circulation model (GCM). In addition, assuming that the grid-averaged observations of AT correspond to the AT output from GCM simulation, this study constructed a regression curve between the observations of the local WT and the concurrent GCM-simulated surface AT. Because of its low spatial resolution, downscaling is unavoidable. The projected WT under global warming scenario A2 (B2) shows an increase of about $1.6^{\circ}C$ ($0.9^{\circ}C$) for the period 2080-2100. The maximum/minimum WT shows an amount of change similar to that of the mean values. This study will provide guidelines for decision-makers and engineers in climate-induced river environment and ecosystem management.

Keywords

References

  1. An, J. H., Lee, K., 2013, Correlation and Hysteresis Analysis of Air-Water Temperature in Four Rivers:Preliminary study for water temperature prediction, Environment Policy Research, 12(2), 17-32. https://doi.org/10.17330/joep.12.2.201306.17
  2. Lee, K., 2014, Building a nonlinear relationship between air and water temperature for climate-induced future water temperature prediction, Environment Policy Research, 13(2), 21-37.
  3. Alcamo, J., Doll, P., Kaspar, F., Siebert, S., 1997, Global change and global scenarios of water use and availability: An Application of Water GAP 1.0, Report A 9701, Center for Environmental Systems Research, German: University of Kassel.
  4. Asselman, N. E., M. Middelkoop, H., Dijk, P. M., 2003, The Impact of change in climate and land use on soil erosion, transport and deposition of suspended sediment in the River Rhine, Hydrological Processes, 17, 3225-3244. https://doi.org/10.1002/hyp.1384
  5. DeGaetano, A. T., 2001, Spatial grouping of united states climate stations using a hybrid clustering approach, International Journal of Climatology, 2, 791-807.
  6. Johnson, F. A., 1971, Stream temperatures in an alpine area, Journal of Hydrology, 14, 322-336. https://doi.org/10.1016/0022-1694(71)90042-4
  7. Karl, T. R., Wang, W., Schleesinger, M. E., Knight, R. W., Potman, D., 1990, A Method of relating general circulation model simulated climate to the observed local climate, Part I: Seasonal Statistics, Journal of Climate, 3, 1053-1079. https://doi.org/10.1175/1520-0442(1990)003<1053:AMORGC>2.0.CO;2
  8. Lee, K., Cho, H. Y., 2015, The Projection of climateinduced future water temperature for the aquatic environment, Journal of Environmental Engineering -ASCE, 141(11), 10.1061/(ASCE)EE, 1943-7870. 0000974, 06015004.
  9. Mohseni, O., Ericson, T. R., Stefan, H., 1999, Sensitivity of stream temperature in the United States to air temperature projected under a global warming scenario, Water Resources Research, 35(12), 3723-3733. https://doi.org/10.1029/1999WR900193
  10. Mohseni, O., Ericson, T. R., Stefan, H., 2002, Upper bounds for stream temperature in the contiguous United States, Journal of Environmental Engineering, 128(1), 4-11. https://doi.org/10.1061/(ASCE)0733-9372(2002)128:1(4)
  11. Mohseni, O., Stefan, H., 1999, Stream temperature /air temperature relationship: A Physical interpretation, Journal of Hydrology, 218, 128-141. https://doi.org/10.1016/S0022-1694(99)00034-7
  12. Mohseni, O., Stefan, H., Ericson, T. R., 1998, A Nonlinear regression model for weekly stream temperature, Water Resources Research, 34(10), 2685-269. https://doi.org/10.1029/98WR01877
  13. Morril, J. C., Bales, R. C., Conklin, M. H., 2005, Estimating stream temperature from air temperature:Implications for future water quality, Journal of Environmental Engineering, 131(1), 139-146. https://doi.org/10.1061/(ASCE)0733-9372(2005)131:1(139)
  14. Oshima, N., Kato, H., Kadokura, S., 2002, An Application of statistical downscaling to estimate surface air temperature in Japan, Journal of Geophysical Research, 107(14), 1-10.
  15. Pilgrim, J. M., Stefan, H. G., 1995, Correlation of Minnesota stream water temperatures with air temperatures Project, Rep. 382, St Anthony Falls Lab., U of Minn., Minneapolis.
  16. School, J. T., Pryor, S. C., 2001, Downscaling temperature and precipitation: A Comparison of regression-based methods and artificial neural networks, International Journal of Climatology, 21, 773-790. https://doi.org/10.1002/joc.655
  17. Schubert, S., 1998, Downscaling local extreme temperature changes in south-eastern Australia from the CSIRO Mark2 GCM, International Journal of Climatology, 18, 1419-1438. https://doi.org/10.1002/(SICI)1097-0088(19981115)18:13<1419::AID-JOC314>3.0.CO;2-Z
  18. Stefan, H. G., Sinokrot, B. A., 1993, Projected global climate change impact on water temperatures in five north central US streams, Climate Change, 24, 353-381. https://doi.org/10.1007/BF01091855
  19. Stockle, C. O., Dyke, P. T., Williams, J. R., Jones, C. A., Rosenberg, N. J., 1992, A Method for estimating the direct and climate effects of rising atmospheric carbon dioxide on growth and yield of crops: Part , Sensitivity analysis at three sites in the Midwestern USA, Agricultural Systems, 38, 239-256. https://doi.org/10.1016/0308-521X(92)90068-Y
  20. Struyf, E., Damme, S. V., Meire, P., 2004, Possible effects of climate change on estuarine nutrient fluxes: A Case study in the highly nutrified Schelde estuary (Belgium, The Netherland), Estuarine Coastal and shelf Science, 60, 649-661. https://doi.org/10.1016/j.ecss.2004.03.004
  21. Tang, H. S., Keen, T. R., 2009, Analytical model for temperature response of channel flows with timedependent thermal discharge and boundary heating, Journal of Hydrologic Engineering-ASCE, 135, 327-339. https://doi.org/10.1061/(ASCE)0733-9429(2009)135:4(327)
  22. Webb, B. W., 1987, The Relationship between air and water temperatures for a Deven river, Rep. Trans. Deveonshire Assoc. Adv. Sci., 119, 197-222.
  23. Wilby, R. L., Charles, S. P., Zorita, E., Timbal, B., Whetton, P., Mearns, L. O., 2004, Guidelines for use of climate scenarios developed from statistical downscaling methods, Supporting material of the Intergovernmental Panel on Climate Change, available from the DDC of IPCC TGCIA.
  24. Winkler, J. A., Palutik, J. P., Andersen, J. A., Goodess, C. M., 1997, The Simulation of daily temperature time series from GCM ourtput, Part II: Sensitivity analysis of an Empirical Transfer function Methodology, Journal of Climate, 10, 2514-2532. https://doi.org/10.1175/1520-0442(1997)010<2514:TSODTT>2.0.CO;2