Modelling biogeochemical processes in the Red-Assiniboine river basin for testing the suitability of HYPE water quality model for Canadian Basins

GeoNetwork record: www.gwfnet.net/geonetwork/srv/eng/catalog.search#/metadata/1d1d67f7-60a6-43c0-96b5-d5c1f683b26e

The objectives of this study are testing the HYPE model for biogeochemical modelling in Canadian catchments, and exploring methodologies to improve biogeochemical prediction in view of uncertainty analysis and scenario investigation. Total phosphorus load is simulated using two approaches: 1) the sequential calibration approach that calibrates the hydrology first and then uses the best hydrological model to infer the biogeochemical model parameters, and 2) the joint approach that infers the hydrological and biogeochemical parameters simultaneously. The joint approach uses the total phosphorus load and streamflow as optimization variables. The two approaches were compared concerning identifiability of both the hydrological and biogeochemical model parameters, and the predictive power of both the hydrological and biogeochemical models. A daily computational time step was used. Outputs of the model are total phosphorus load and streamflow. The input data used to set up the model are provided below: -Topographic information source is USGS: Hydro1K ( https://lta.cr.usgs.gov/HYDRO1K ) -Soil data source: Harmonized World Soil Database V1.2, Nachtergaele et al. (2010) -Land use data source: ESA CCI LC 2010 v1.4, ESA Climate Change Initiative -Lake and wetland data source: Global Lake and Wetland Database (GLWD), Lehner and Doll (2004) -Reservoirs data source: Global reservoir and Dam database (GRanD) v1.1, Lehner et al. (2011) -Discharge data source: HYDAT, 2. USGS, Environment Canada and USGS -Meteorological data source: Hydro-GFD, Berg et al. (2017) -Snow data source: GlobSnow (www.globsnow.info ) -Glacier fluctuations data source: World Glacier Monitoring Service (WGMS), Zemp et al. (2009) -Evapotranspiration data source: FLUXNET (fluxnet.ornl.gov) -Point source pollution data source: USGS and Benoy et al. (2016), https://www.sciencebase.gov/catalog/item/5ba54362e4b08583a5c9d4e5 -Fertilizer and manure data source: Red-Assiniboine SPARROW model, Benoy et al. (2016)

While all the input data are collected from other sources that are indicated in section 2, the total phosphorus load and streamflow produced by our HYPE model is used to test HYPE in the Red-Assiniboine river basin as part of the broader objective of evaluating the suitability of biogeochemical modelling in Canadian basins and to explore improved calibration strategy of biogeochemical model for uncertainty quantification and management scenarios. This dataset supports the water quality modelling (WQM) theme of the GWF Core Modelling and Forecasting Team.

Red-Assiniboine River basin

Model name: HYPE Model version number: Not published. The source code was modified at the University of Manitoba Model source/webpage: https://sourceforge.net/projects/hype/files/release_hype_5_5_1/ Model output pre-processing script: R script used to run Bayesian inference Model output post-processing script: R script used to run uncertainty analysis and for plotting parameter posterior distributions and uncertainty plots Model setup: Time step: 1 day Initial condition: calibrated Boundary condition: none