Novel predictors related to hysteresis and baseflow improve predictions of watershed nutrient loads: An example from Ontario's lower Great Lakes basin

Biagi, Kelly; Ross, Cody A.; Oswald, Claire J.; Sorichetti, Ryan J.; Thomas, Joseph P.; Wellen, Christopher

doi:10.1016/j.scitotenv.2022.154023

Cited by 15 publications

(8 citation statements)

References 77 publications

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“…Our finding that stream biofilms are highly efficient at accumulating P under subscouring conditions also highlights the importance of distinguishing between the P load contribution of land-to-channel and in-channel pools during scouring high flow events with which the majority of annual load is associated . Indeed, the luxury uptake mechanism identified herein may also partially explain why inclusion of simple metrics of antecedent precipitation conditions into loading models do not always improve model accuracy . While further work is required to determine the prevalence and relative importance of this mechanism in real streams, incorporating this conceptual understanding into river P loading models may enhance model predictions of individual event loads through a more sophisticated temporal representation of mobilizable P pools in river ecosystems.…”

Section: Discussionmentioning

confidence: 84%

“…Concentration-discharge relationships as they vary with hydrological conditions are starting to be used to improve accuracy of riverine P loading models (e.g., ref ( 97 )). However, our results indicate that the storage of P in periphyton biomass can occur far more rapidly during short-duration, high concentration events with subscouring flows than would occur under typical baseflow concentrations.…”

Section: Discussionmentioning

confidence: 99%

“… 98 Indeed, the luxury uptake mechanism identified herein may also partially explain why inclusion of simple metrics of antecedent precipitation conditions into loading models do not always improve model accuracy. 97 While further work is required to determine the prevalence and relative importance of this mechanism in real streams, incorporating this conceptual understanding into river P loading models may enhance model predictions of individual event loads through a more sophisticated temporal representation of mobilizable P pools in river ecosystems.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Periphyton Phosphorus Uptake in Response to Dynamic Concentrations in Streams: Assimilation and Changes to Intracellular Speciation

Pearce

Parsons

Pomfret

et al. 2023

Environ. Sci. Technol.

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Effective modeling and management of phosphorus (P) losses from landscapes to receiving waterbodies requires an adequate understanding of P retention and remobilization along the terrestrial−aquatic continuum. Within aquatic ecosystems, the stream periphyton can transiently store bioavailable P through uptake and incorporation into biomass during subscouring and baseflow conditions. However, the capacity of stream periphyton to respond to dynamic P concentrations, which are ubiquitous in streams, is largely unknown. Our study used artificial streams to impose short periods (48 h) of high SRP concentration on stream periphyton acclimated to P scarcity. We examined periphyton P content and speciation through nuclear magnetic resonance spectroscopy to elucidate the intracellular storage and transformation of P taken up across a gradient of transiently elevated SRP availabilities. Our study demonstrates that the stream periphyton not only takes up significant quantities of P following a 48-h high P pulse but also sustains supplemental growth over extended periods of time (10 days), following the reestablishment of P scarcity by efficiently assimilating P stored as polyphosphates into functional biomass (i.e., phospho-monoesters and phospho-diesters). Although P uptake and intracellular storage approached an upper limit across the experimentally imposed SRP pulse gradient, our findings demonstrate the previously underappreciated extent to which the periphyton can modulate the timing and magnitude of P delivery from streams. Further elucidating these intricacies in the transient storage potential of periphyton highlights opportunities to enhance the predictive capacity of watershed nutrient models and potentially improve watershed P management.

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Section: Discussionmentioning

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Periphyton Phosphorus Uptake in Response to Dynamic Concentrations in Streams: Assimilation and Changes to Intracellular Speciation

Pearce

Parsons

Pomfret

et al. 2023

Environ. Sci. Technol.

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“…To give one example, clay soils in Sävjaån likely affect the particle size fractions and likely contribute to colloidal particle transport, suggesting a complex and likely nonlinear relationship between turbidity, TP, and TSS. Qualitative uncertainty related to the nature of the underlying relationship (e.g., linear vs nonlinear) cannot be adequately captured by statistical measures of goodness of fit. , …”

Section: Discussionmentioning

confidence: 99%

High Expectations and Open Questions: Using High-Frequency Proxy Data to Calibrate a Catchment-Scale Phosphorus Model

Lannergård,

Sandström,

Nilsson

et al. 2024

ACS EST Water

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High-frequency (HF) in situ sensor data capture temporal water quality variability. Using HF data to calibrate catchment-scale water quality models remains uncommon, despite previous studies demonstrating the value of HF data in reducing uncertainty in model output. This study aims to provide new insights regarding the use of HF proxy data [turbidity as a proxy for total phosphorus (TP) and total suspended solids (TSS)] compared to low-frequency (LF) data for model calibration. Four calibration data sets were used to calibrate a catchment-scale water quality model: monthly grab samples of TSS and TP (LF) and HF in situ sensor turbidity proxies for TSS and TP, alone and in combinations. These calibration data sets resulted in significant differences in model output, with HF data sets projecting more variable results and affecting modeled TP/TSS concentrations, loads, and performance statistics. Multiobjective calibration using HF proxy data highlighted important knowledge gaps concerning the theoretical and practical implications of using HF turbidity for model calibration, which is why it should be used with caution in future studies. Further research areas include investigating the nature of proxy relationships, such as linearity/nonlinearity, exploring the concentration range coverage, and an improved understanding of turbidity and TSS-and TP-generating processes.

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“…Partial Least Squares Path Modeling (PLS-PM) revealed the contribution of changes in monitoring points for water level and salinity [86]. Generalized additive models (GAMs) and routine surrogate models examined the dynamics of nutrients in seasonal and annual trends to describe the state estimation [87]. In addition, the combination of satellite images and a linear model has analyzed the influence of air quality and vegetation to support algal bloom early warning systems [88].…”

Section: Water Quality and Quantity Modellingmentioning

confidence: 99%

Surface Water Monitoring Systems—The Importance of Integrating Information Sources for Sustainable Watershed Management

2023

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The complex interactions from anthropogenic activities, climate change, sedimentation and the input of wastewater has significantly affected the aquatic environment and entire ecosystem. Over the years, the researchers have investigated water monitoring approaches in terms of traditional monitoring or even integrated systems to handle such an environmental assessment and predictions based on warning systems. However, research into the selection and optimisation of water monitoring systems by the combination of parallel approach in terms of sampling techniques, process analysis and results is limited. The research objectives of the present study are to evaluate the existing water monitoring systems based on the latest approach and then provide insights into factors affecting sensor implementation at sampling locations. Here we summarize the advancement and trends of various water monitoring systems as well as the suitability of sensor placement in the area by reviewing more than 300 papers published between 2011 and 2022. The research highlights the urgency of an integrative approach with regard to water monitoring systems including water quality model and water quantity model. A framework is proposed to incorporate all water monitoring approaches, sampling techniques, and predictive models to provide comprehensive information about environmental assessment. It was observed that the urgency of model-based approaches as verification and fusion of data assemble has the ability to improve the performances of the systems. Furthermore, integrated systems with the inclusion of a separate modeling approach through integrated -semi-mechanistic models, data science and artificial intelligence are recommended in the future. Overall, this study provides guidelines for achieving standardized water management by implementing integrated water monitoring systems INDEX TERMS infrastructure, integrated monitoring, water monitoring system, modelling, water quality

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Novel predictors related to hysteresis and baseflow improve predictions of watershed nutrient loads: An example from Ontario's lower Great Lakes basin

Cited by 15 publications

References 77 publications

Periphyton Phosphorus Uptake in Response to Dynamic Concentrations in Streams: Assimilation and Changes to Intracellular Speciation

Periphyton Phosphorus Uptake in Response to Dynamic Concentrations in Streams: Assimilation and Changes to Intracellular Speciation

High Expectations and Open Questions: Using High-Frequency Proxy Data to Calibrate a Catchment-Scale Phosphorus Model

Surface Water Monitoring Systems—The Importance of Integrating Information Sources for Sustainable Watershed Management

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