scholarly journals An unconditionally stable semi-analytical Lagrangian stream temperature model

2021 ◽  
Author(s):  
James Craig
Keyword(s):  
Stream Temperature ◽  
Temperature Model ◽  
Unconditionally Stable

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 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

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

scholarly journals A distributed stream temperature model using high resolution temperature observations

2007 ◽  
Vol 4 (1) ◽  
pp. 125-149 ◽  
Author(s):  
M. C. Westhoff ◽  
H. H. G. Savenije ◽  
W. M. J . Luxemburg ◽  
G. S. Stelling ◽  
N. C. van de Giesen ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Stream Water ◽  
Longwave Radiation ◽  
Stream Temperature ◽  
Calibration Data ◽  
Measured Temperature ◽  
Temperature Model ◽  
Distributed Temperature Sensing ◽  
Order Stream ◽  
Total Energy Balance

Abstract. Highly distributed temperature data are used as input and as calibration data for a temperature model of a first order stream in Luxembourg. A DTS (Distributed Temperature Sensing) fiber optic cable with a length of 1500 m is used to measure stream water temperature with a spatial resolution of 0.5 m and a temporal resolution of 2 min. With the observations four groundwater inflows are found and quantified (both temperature and relative discharge). They are used as input for the distributed temperature model presented here. The model calculates the total energy balance including solar radiation (with shading effects), longwave radiation, latent heat, sensible heat and river bed conduction. The simulated temperature along the whole stream is compared with the measured temperature at all points along the stream. It shows that proper knowledge of the lateral inflow is crucial to simulate the temperature distribution along the stream, and, the other way around stream temperature can be used successfully to identify runoff components. The DTS fiber optic is an excellent tool to provide this knowledge.

Sign in / Sign up

Export Citation Format

Share Document