Modelling historical variability of phosphorus and organic carbon fluxes to the Mackenzie River, Canada

This study provides an improved statistical modelling framework for understanding historical variability and trends in water constituent fluxes in subarctic western Canada. We evaluated total phosphorus (TP) and dissolved organic carbon (DOC) fluxes for the Hay, Liard and Peel tributaries of the Mac...

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Main Authors: Rajesh R. Shrestha, Terry D. Prowse, Lois Tso
Format: Article
Language:English
Published: IWA Publishing 2019-10-01
Series:Hydrology Research
Subjects:
Online Access:http://hr.iwaponline.com/content/50/5/1424
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author Rajesh R. Shrestha
Terry D. Prowse
Lois Tso
author_facet Rajesh R. Shrestha
Terry D. Prowse
Lois Tso
author_sort Rajesh R. Shrestha
collection DOAJ
description This study provides an improved statistical modelling framework for understanding historical variability and trends in water constituent fluxes in subarctic western Canada. We evaluated total phosphorus (TP) and dissolved organic carbon (DOC) fluxes for the Hay, Liard and Peel tributaries of the Mackenzie River. The TP and DOC concentrations primarily exhibit chemodynamic relationships with discharge, with the exception of the chemostatic relationship between DOC and discharge for the Hay River. With this understanding, we explored a number of enhancements in the load estimation model that included the use of (i) linear regression and logarithmic models, (ii) air-temperature as an alternate input variable and (iii) quantile mapping for bias-correction. Further, we evaluated uncertainties in the simulation of fluxes and trends by using a bootstrapping method. The modelled TP and DOC fluxes show considerable seasonal and interannual variability that generally follow the runoff dynamics. The annual and seasonal trends are mostly small and insignificant, with the largest significant increases occurring in the winter months. These trends are amplified compared with discharge, suggesting the possibility of pronounced changes with large changes in discharge. Additionally, the results provide evidence that directly using limited water constituent samples for trend analysis can be problematic.
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spelling doaj.art-e044765d67524446b4eaf7b28d95ffbb2022-12-22T00:19:00ZengIWA PublishingHydrology Research1998-95632224-79552019-10-015051424143910.2166/nh.2019.161161Modelling historical variability of phosphorus and organic carbon fluxes to the Mackenzie River, CanadaRajesh R. Shrestha0Terry D. Prowse1Lois Tso2 Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, University of Victoria, Victoria, BC, Canada, V8 W 3R4 Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, University of Victoria, Victoria, BC, Canada, V8 W 3R4 Department of Civil Engineering, University of Victoria, Victoria, BC, Canada, V8 W 3R4 This study provides an improved statistical modelling framework for understanding historical variability and trends in water constituent fluxes in subarctic western Canada. We evaluated total phosphorus (TP) and dissolved organic carbon (DOC) fluxes for the Hay, Liard and Peel tributaries of the Mackenzie River. The TP and DOC concentrations primarily exhibit chemodynamic relationships with discharge, with the exception of the chemostatic relationship between DOC and discharge for the Hay River. With this understanding, we explored a number of enhancements in the load estimation model that included the use of (i) linear regression and logarithmic models, (ii) air-temperature as an alternate input variable and (iii) quantile mapping for bias-correction. Further, we evaluated uncertainties in the simulation of fluxes and trends by using a bootstrapping method. The modelled TP and DOC fluxes show considerable seasonal and interannual variability that generally follow the runoff dynamics. The annual and seasonal trends are mostly small and insignificant, with the largest significant increases occurring in the winter months. These trends are amplified compared with discharge, suggesting the possibility of pronounced changes with large changes in discharge. Additionally, the results provide evidence that directly using limited water constituent samples for trend analysis can be problematic.http://hr.iwaponline.com/content/50/5/1424c–q relationshipdoc and tp fluxeshistorical trendsloadest modelstatistical modellingsubarctic
spellingShingle Rajesh R. Shrestha
Terry D. Prowse
Lois Tso
Modelling historical variability of phosphorus and organic carbon fluxes to the Mackenzie River, Canada
Hydrology Research
c–q relationship
doc and tp fluxes
historical trends
loadest model
statistical modelling
subarctic
title Modelling historical variability of phosphorus and organic carbon fluxes to the Mackenzie River, Canada
title_full Modelling historical variability of phosphorus and organic carbon fluxes to the Mackenzie River, Canada
title_fullStr Modelling historical variability of phosphorus and organic carbon fluxes to the Mackenzie River, Canada
title_full_unstemmed Modelling historical variability of phosphorus and organic carbon fluxes to the Mackenzie River, Canada
title_short Modelling historical variability of phosphorus and organic carbon fluxes to the Mackenzie River, Canada
title_sort modelling historical variability of phosphorus and organic carbon fluxes to the mackenzie river canada
topic c–q relationship
doc and tp fluxes
historical trends
loadest model
statistical modelling
subarctic
url http://hr.iwaponline.com/content/50/5/1424
work_keys_str_mv AT rajeshrshrestha modellinghistoricalvariabilityofphosphorusandorganiccarbonfluxestothemackenzierivercanada
AT terrydprowse modellinghistoricalvariabilityofphosphorusandorganiccarbonfluxestothemackenzierivercanada
AT loistso modellinghistoricalvariabilityofphosphorusandorganiccarbonfluxestothemackenzierivercanada