scholarly journals Improving representation of riparian vegetation shading in a regional stream temperature model using LiDAR data

2018 ◽  
Vol 624 ◽  
pp. 480-490 ◽  
Author(s):  
Pierre Loicq ◽  
Florentina Moatar ◽  
Yann Jullian ◽  
Stephen J. Dugdale ◽  
David M. Hannah
Keyword(s):  
Riparian Vegetation ◽  
Stream Temperature ◽  
Lidar Data ◽  
Temperature Model

Optimization of linear stream temperature model parameters in the soil and water assessment tool for the continental United States

2019 ◽  
Vol 127 ◽  
pp. 125-134 ◽  
Author(s):  
Nicholas A. Giles ◽  
Meghna Babbar-Sebens ◽  
Raghavan Srinivasan ◽  
Darren L. Ficklin ◽  
Bradley Barnhart
Keyword(s):  
United States ◽  
Assessment Tool ◽  
Stream Temperature ◽  
Model Parameters ◽  
Temperature Model ◽  
Water Assessment ◽  
Soil And Water

scholarly journals Modification of a stream temperature model with Beer's law and application to GaoShan Creek in Taiwan

2007 ◽  
Vol 200 (1-2) ◽  
pp. 217-224 ◽  
Author(s):  
Ching-Pin Tung ◽  
Yi-Chen E. Yang ◽  
Tsung-Yu Lee ◽  
Ming-Hsu Li
Keyword(s):  
Stream Temperature ◽  
Temperature Model ◽  
Beer's Law ◽  
Beer’S Law

scholarly journals SESTET: A spatially explicit stream temperature model based on equilibrium temperature

2019 ◽  
Vol 34 (2) ◽  
pp. 355-369 ◽  
Author(s):  
Luca Carraro ◽  
Marco Toffolon ◽  
Andrea Rinaldo ◽  
Enrico Bertuzzo
Keyword(s):  
Equilibrium Temperature ◽  
Stream Temperature ◽  
Spatially Explicit ◽  
Temperature Model ◽  
Model Based

Simple modifications of the nonlinear regression stream temperature model for daily data

2019 ◽  
Vol 572 ◽  
pp. 308-328 ◽  
Author(s):  
Adam P. Piotrowski ◽  
Jaroslaw J. Napiorkowski
Keyword(s):  
Nonlinear Regression ◽  
Stream Temperature ◽  
Temperature Model ◽  
Daily Data

The development of stream temperature model in a mountainous river of Taiwan

2014 ◽  
Vol 186 (11) ◽  
pp. 7489-7503 ◽  
Author(s):  
Ching-Pin Tung ◽  
Tsung-Yu Lee ◽  
Jr-Chuang Huang ◽  
Po-Wen Perng ◽  
Shih-Ji Kao ◽  
...  
Keyword(s):  
Stream Temperature ◽  
Temperature Model ◽  
Mountainous River

Estimating evapotranspiration of riparian vegetation using high resolution multispectral, thermal infrared and lidar data

2011 ◽  
Author(s):  
Christopher M. U. Neale ◽  
Hatim Geli ◽  
Saleh Taghvaeian ◽  
Ashish Masih ◽  
Robert T. Pack ◽  
...  
Keyword(s):  
High Resolution ◽  
Riparian Vegetation ◽  
Thermal Infrared ◽  
Lidar Data

scholarly journals Stream Temperature and Environment Relationships in a Semiarid Riparian Corridor

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 519
Author(s):  
Nicole Durfee ◽  
Carlos G. Ochoa ◽  
Gerrad Jones
Keyword(s):  
Air Temperature ◽  
Vegetation Cover ◽  
Riparian Vegetation ◽  
Subsurface Flow ◽  
Stream Temperature ◽  
Intermittent Flow ◽  
Support Vector ◽  
Temperature Levels ◽  
Riparian Corridor ◽  
The Relationship

This study examined the relationship between stream temperature and environmental variables in a semiarid riparian corridor in northcentral Oregon, USA. The relationships between riparian vegetation cover, subsurface flow temperature, and stream temperature were characterized along an 800 m reach. Multiple stream temperature sensors were located along the reach, in open and closed canopy areas, with riparian vegetation cover ranging from 4% to 95%. A support vector regression (SVR) model was developed to assess the relationship between environmental characteristics and stream temperature at the larger valley scale. Results show that air temperature was highly correlated with stream temperature (Pearson’s r = 0.97). Based on the ANOVA, no significant (p < 0.05) differences in stream temperature levels were found among sensor locations at the valley scale, irrespective of percent vegetation cover. Channel subsurface temperature levels from an intermittent flow tributary were generally cooler than those in the perennial stream in the summer and warmer during winter months, indicating that the tributary may have a localized moderating effect on stream temperature. SVR model results showed that air temperature, followed by streamflow, was the strongest variable influencing stream temperature. In general, riparian area land cover showed little effect on stream temperature along the entire riparian corridor. This research indicates that air temperature, subsurface flow, and streamflow are important variables affecting the stream temperature variability observed in the study area.

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