Stream heat budget modeling with HFLUX: Model development, evaluation, and applications across contrasting sites and seasons

Anne Marie Glose, Laura K. Lautz, Emily A. Baker

Research output: Research - peer-reviewArticle

Abstract

Process-based models of fluid flow and heat transport in fluvial systems can be used to quantify unknown spatial and temporal patterns of hydrologic fluxes and to predict system response to change. In this study, a deterministic stream heat budget model, the HFLUX Stream Temperature Solver (HFLUX), is developed and evaluated using field studies. Field studies are conducted across two sites with different streamflow rates (0.07 vs 1.4 m3/s), and point sources versus diffuse sources of groundwater discharge, to demonstrate model transferability. A winter versus summer comparison at one site suggests latent heat flux should be derived using energy-based methods in summer and mass transfer approaches during winter. For each field study, HFLUX successfully modeled stream temperatures through space and time with normalized root mean square errors of 3.0–6.2%. Model calibration to observed temperature data in order to quantify groundwater contributions and a sensitivity analysis are demonstrated using HFLUX.

LanguageEnglish (US)
Pages213-228
Number of pages16
JournalEnvironmental Modelling and Software
Volume92
DOIs
StatePublished - Jun 1 2017

Fingerprint

heat budget
modeling
development model
evaluation
Hot Temperature
temperature
field study
Temperature
groundwater
winter
summer
Groundwater
latent heat flux
point source
fluid flow
sensitivity analysis
streamflow
mass transfer
calibration
energy

Keywords

  • Distributed temperature sensing
  • Matlab
  • Sensitivity analysis
  • Stream temperature

ASJC Scopus subject areas

  • Software
  • Environmental Engineering
  • Ecological Modeling

Cite this

Stream heat budget modeling with HFLUX : Model development, evaluation, and applications across contrasting sites and seasons. / Glose, Anne Marie; Lautz, Laura K.; Baker, Emily A.

In: Environmental Modelling and Software, Vol. 92, 01.06.2017, p. 213-228.

Research output: Research - peer-reviewArticle

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