Preprints
https://doi.org/10.5194/hess-2022-116
https://doi.org/10.5194/hess-2022-116
 
23 Aug 2022
23 Aug 2022
Status: this preprint is currently under review for the journal HESS.

An Improved Model of Shade-affected Stream Temperature in Soil & Water Assessment Tool

Efrain Noa-Yarasca1, Meghna Babbar-Sebens1, and Chris Jordan2 Efrain Noa-Yarasca et al.
  • 1School of Civil & Construction Engineering, Oregon State University, Corvallis, OR 97331
  • 2Conservation Biology Division, NWFSC, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2032 SE OSU Dr., Newport, OR, 97365 USA

Abstract. Stream temperatures have been increasing worldwide, in some cases, reaching unsustainable levels for aquatic life. Riparian re-vegetation has been identified as a strategy for managing stream temperatures by blocking direct solar radiation. In this study, the effects of riparian vegetation on stream temperatures were included within the Soil Water Assessment Tool (SWAT) model through a shade factor parameter. An equilibrium temperature approach was used to integrate the shade factor in an energy balance context. The stream temperature sub-model was improved using the new energy balance equation and integrated into SWAT. Unlike existing models, the modified SWAT model developed enables improved representation of two processes - mass and heat transfer – that influence stream temperature change and enables simulation of shading and its effects on stream temperatures at sub-basin scales. The updated SWAT model was tested in Dairy McKay Watershed, OR, USA, for four scenarios: current conditions of riparian vegetation, full restoration, efficient restoration, and no vegetation. The model calibration under current riparian vegetation showed good performance (NSE>0.74). Stream temperature reduction and number of days with stream temperatures above survival limits (NDSTASL) for aquatic species were also evaluated as measures of riparian shade performance. Findings showed average temperature reductions of 0.91 °C (SD = 0.69 °C) and reductions in NDSTASL of 17.1 days over a year for full riparian restoration, and average reductions of 0.86 °C (SD = 0.67 °C) and 16.2 days for efficient restoration. Notwithstanding the similar benefits, efficient restoration was 14.4 % cheaper than full riparian vegetation restoration.

Efrain Noa-Yarasca et al.

Status: open (until 18 Oct 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-116', Anonymous Referee #1, 16 Sep 2022 reply
  • CC1: 'Comment on hess-2022-116', Virgil Alexandru Iordache, 16 Sep 2022 reply
  • RC2: 'Comment on hess-2022-116', Anonymous Referee #2, 16 Sep 2022 reply

Efrain Noa-Yarasca et al.

Efrain Noa-Yarasca et al.

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Short summary
Riparian vegetation has been identified as a strategy to control rising stream temperatures by shading streams. Riparian vegetation is included within a sub-basin scale hydrological model and evaluated for full and efficient restoration scenarios. Results showed average temperature reductions of 0.91 °C and 0.86 °C for full and efficient riparian restoration, respectively. Notwithstanding the similar benefits, efficient restoration was 14.4 % cheaper than full riparian vegetation restoration.