Scaling Dissolved Nutrient Removal in River Networks: A Comparative Modeling Investigation

Sheng Ye, Alexander J. Reisinger, Jennifer L. Tank, Michelle A. Baker, Robert O. Hall, Emma J. Rosi, Murugesu Sivapalan

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Along the river network, water, sediment, and nutrients are transported, cycled, and altered by coupled hydrological and biogeochemical processes. Our current understanding of the rates and processes controlling the cycling and removal of dissolved inorganic nutrients in river networks is limited due to a lack of empirical measurements in large, (nonwadeable), rivers. The goal of this paper was to develop a coupled hydrological and biogeochemical process model to simulate nutrient uptake at the network scale during summer base flow conditions. The model was parameterized with literature values from headwater streams, and empirical measurements made in 15 rivers with varying hydrological, biological, and topographic characteristics, to simulate nutrient uptake at the network scale. We applied the coupled model to 15 catchments describing patterns in uptake for three different solutes to determine the role of rivers in network-scale nutrient cycling. Model simulation results, constrained by empirical data, suggested that rivers contributed proportionally more to nutrient removal than headwater streams given the fraction of their length represented in a network. In addition, variability of nutrient removal patterns among catchments was varied among solutes, and as expected, was influenced by nutrient concentration and discharge. Net ammonium uptake was not significantly correlated with any environmental descriptor. In contrast, net daily nitrate removal was linked to suspended chlorophyll a (an indicator of primary producers) and land use characteristics. Finally, suspended sediment characteristics and agricultural land use were correlated with net daily removal of soluble reactive phosphorus, likely reflecting abiotic sorption dynamics. Rivers are understudied relative to streams, and our model suggests that rivers can contribute more to network-scale nutrient removal than would be expected based upon their representative fraction of network channel length.

Original languageEnglish
Pages (from-to)9623-9641
Number of pages19
JournalWater Resources Research
Volume53
Issue number11
DOIs
StatePublished - Nov 2017

Funding

We thank the ‘‘river gypsies,’’ the experimental team who designed and executed the field research that provided the experimental data from the 15 rivers, all ancillary supporting empirical data, and data analyses of all field samples. These measurements as well as the modeling and model diagnostics were supported by National Science Foundation awards DEB 09–21598, 09–22118, 09–22153, and 10–07807. S.Y. also acknowledges the support of the National Natural Science Foundation of China (grant 51509218 and 51379184) for her continuing work on this manuscript. The data used are listed in the references; readers can request specific field measurements for the 15 rivers by contacting [email protected], and the coupled hydrological-biogeochemical model is available at https://github.com/shengye1/THREW_ nutrient.git.

FundersFunder number
1344280, 09–22153, 10–07807, 09–22118, DEB 09–21598
National Natural Science Foundation of China51509218, 51379184

    Keywords

    • biogeochemistry
    • field experiments
    • hydrology
    • network modeling
    • nutrient uptake
    • rivers
    • scale effects

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