Inicio  /  Hydrology  /  Vol: 4 Par: 3 (2017)  /  Artículo
ARTÍCULO
TITULO

Bayesian Hierarchical Regression to Assess Variation of Stream Temperature with Atmospheric Temperature in a Small Watershed

Joseph A. Daraio    
Abena O. Amponsah and Kenneth W. Sears    

Resumen

This paper described the variability of stream temperature, ???? T s , and compared relationships between ???? T s and air temperature, ???? T a , at 10 sites along a 1.2 km reach in a 2 km2 2 basin in New Jersey, USA, using Bayesian Hierarchical Regression. Mean daily mean ???? T s was significantly cooler at two sites and significantly warmer at three sites relative to the mean daily ???? T s for all sites combined. Seasonal daily mean ???? T s showed the greatest variation between sites in the summer within the reach for both daily mean and daily maximum temperatures. Posterior distributions for slope parameters (???? ß j ) for regressions varied significantly by season and showed the greatest variation in summer. The strongest relationships occurred in autumn with ??=0.743±0.019 ß = 0 . 743 ± 0 . 019 (??=0.712±0.022 ß = 0 . 712 ± 0 . 022 ), and the weakest relationships occurred in the summer with ??=0.254±0.030 ß = 0 . 254 ± 0 . 030 (??=0.193±0.039 ß = 0 . 193 ± 0 . 039 ). Results support the conclusion that riparian shading impacts the effect of ???? T a on ???? T s , and that ???? T s shows a stronger relationship with measured ???? T a at sites in open areas that are more likely to have meteorologic conditions similar to bulk conditions.

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