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KMID : 1024520160250060877
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Journal of the Environmental Sciences
2016 Volume.25 No. 6 p.877 ~ p.888
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Prediction of Climate-induced Water Temperature using Nonlinear Air-water Temperature Relationship for Aquatic Environments
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Lee Khil-Ha
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Abstract
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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 $1.6^{\circ}C$ 수식 이미지 ($0.9^{\circ}C$ 수식 이미지) 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.
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KEYWORD
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Climate change, GCM, River temperature, Water quality, Downscaling
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