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http://dx.doi.org/10.13047/KJEE.2020.34.1.55

Estimated Headwater Stream Temperature Using Environmental Factors with Seasonal Variations in a Forested Catchment  

Nam, Sooyoun (Inst. of Forest Science, Kangwon National Univ.)
Jang, Su-Jin (Inst. of Forest Science, Kangwon National Univ.)
Kim, Suk-Woo (Div. of Forest Science, Kangwon National Univ.)
Lee, Youn-Tae (Inst. of Forest Science, Kangwon National Univ.)
Chun, Kun-Woo (Div. of Forest Science, Kangwon National Univ.)
Publication Information
Korean Journal of Environment and Ecology / v.34, no.1, 2020 , pp. 55-62 More about this Journal
Abstract
To estimate headwater stream temperature with seasonal variations, we analyzed precipitation, runoff and air temperature in experimental forest of Kangwon National University, Gangwon-do (2017~2018 years). The daily mean value of headwater stream temperature for spring was 6.9~17.7℃ and correlated with air temperature, that for summer and fall were 12.2~26.3℃ and 3.6~19.3℃, correlated with air temperature and runoff. Based on seasonal variations, we applied for stepwise multiple linear regression analyses to estimate headwater stream temperature with seasonal variations. The equations were headwater stream temperature(WT)spring=(0.553×Air temperature)+(0.086×Runoff)+4.145 (R2=0.505; p<0.01), WTsummer=(0.756×Air temperature)+(-0.072×Runoff)+2.670 (R2=0.510; p<0.01), and WTfall=(0.738×Air temperature)+(0.028×Precipitation)+2.660 (R2=0.844; p<0.01). The coefficient of determination (R2) was greater than when it was estimated by air temperature in all seasons and progressively increased from spring to winter. Therefore, we indicated difference on estimated magnitude of stepwise multiple linear regression, due to effects on headwater stream temperature of different environmental factors with seasonal variations. Furthermore, temporal factors with spatial characteristics (e.g., river versus headwater stream) could be recommended for estimating headwater stream temperature.
Keywords
AIR TEMPERATURE; PRECIPITATION; RUNOFF; STEPWISE MULTIPLE LINEAR REGRESSION;
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