The influence of geomorphic unit spatial distribution on nitrogen retention and removal in a large river

Lin, Laurence; Davis, Lisa; Cohen, Sagy; Chapman, Elise L.; Edmonds, Jennifer W.

doi:10.1016/j.ecolmodel.2016.05.018

Cited by 6 publications

(8 citation statements)

References 30 publications

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“…The Small Stream Hydro‐Biogeochemistry Simulator (SSHBS) is a process‐based stream reach model extended from Lin et al (2016) and Webster et al (2016). In this study, we represent a stream channel as a longitudinally linked set of fluvial geomorphic features (e.g., pools and riffles) across which stream biogeochemical cycling and transport processes (spiraling) are simulated.…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we represent a stream channel as a longitudinally linked set of fluvial geomorphic features (e.g., pools and riffles) across which stream biogeochemical cycling and transport processes (spiraling) are simulated. We note that this representation can be generalized to a variety of channel forms, and define these longitudinal features as geomorphic zones (Zones in Figure 2) as the unit control volume in the model, each linked through lateral input, and up‐stream and downstream transport of water and solutes (Lin et al 2016).…”

Section: Methodsmentioning

confidence: 99%

“…These observations and estimates were used to produce a table look‐up for the numerical relationships among zone water depth, cross‐sectional area, wetted perimeter, hydraulic radius, and water volume (Figure a–S4c). As mentioned above, for simplicity and focus in the current application we use drainage area‐weighted discharge to allocate zone lateral flowpath inputs of water and solutes following Lin et al (2015, 2016; Equation ; Figure 1) from high‐resolution LiDAR elevation (Chesapeake Conservancy 2020; National Oceanic and Atmospheric Administration 2020), rather than from a fully coupled watershed model. Lateral flow for each zone was estimated from the upstream to downstream.…”

Section: Methodsmentioning

confidence: 99%

“…The interaction between instream solute transport and nutrient retention can be quantified with the framework of nutrient spiraling, a well‐developed foundational principle in stream ecology and biogeochemistry (Stream Solute Workshop 1990; Ensign and Doyle 2006; Webster 2007; Mulholland and Webster 2010). The mechanisms of nutrient cycling between inorganic and organic nutrient forms, combined with downstream transport causes the conceptual spiraling (Webster and Patten 1979), and nutrient uptake and transformation are related to various metrics of aquatic biological processes (Tank et al 2000; Tank and Dodds 2003; Webster et al 2003), stream channel geomorphology (Lin et al 2016), flow velocity (Claessens and Tague 2009), and transient storage exchange (Patil et al 2013). Measures of instream nutrient retention or removal can be expressed as the spiraling length, defined as the average length of stream transport through one cycle of a nutrient molecule between organic and inorganic forms, and uptake length, the average length of stream transport for inorganic forms of nutrients being assimilated as organic forms or removed (Webster and Patten 1979; Newbold et al 1981).…”

Section: Introductionmentioning

confidence: 99%

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Evaluating Instream Restoration Effectiveness in Reducing Nitrogen Export from an Urban Catchment with a Data‐Model Approach

Lin

Reisinger

Rosi

et al. 2021

J American Water Resour Assoc

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Urbanization increases stormwater runoff into streams, resulting in channel erosion, and increases in sediment and nutrient delivery to receiving water bodies. Stream restoration is widely used as a Best Management Practice to stabilize banks and reduce sediment and nutrient loads. While most instream nutrient retention measurements are often limited to low flow conditions, most of the nutrient load is mobilized at high stream flows in urban settings. We, therefore, use a process‐based stream ecosystem model in conjunction with measurements at low flows and focus on estimation of stream nitrogen retention over the full streamflow distribution. The model provides a theoretical framework to evaluate the geomorphic, hydrologic, and ecological factors that are manipulated by stream restoration, and drive nitrogen retention. We set a model for a pool‐riffle sequence restored stream (190 m) in Baltimore County, Maryland and calibrated the model to the in situ measured primary production (Nash–Sutcliffe model efficiency coefficient [NSE] NSE = 0.89), respiration (NSE = 0.74), and nitrate uptake lengths (R2 = 0.88). At the daily scale, simulations showed low nitrogen retention during high flows due to high transport rates, mobilization of stored hyporheic nitrogen, and scouring of periphyton biomass. This result underscores the need to reduce contributing watershed runoff flashiness to promote aquatic nutrient cycling and retention. At monthly and yearly time scale, model predicted a higher percent reduction in summer than in winter and estimated 5.7%–9.5% of annual nitrate reductions. While the model was tested in a pool‐riffle sequence restoration design, the approach can be adapted to evaluate a range of channel restoration design characteristics, and the effects of upland watershed restoration to mitigate stormwater loading through both restored and unrestored streams.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating Instream Restoration Effectiveness in Reducing Nitrogen Export from an Urban Catchment with a Data‐Model Approach

Lin

Reisinger

Rosi

et al. 2021

J American Water Resour Assoc

Self Cite

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“…Helton et al (2018) reemphasized the importance of structures of the whole stream network in nitrogen transformation and removal with varied but integrated spatial distribution from headwaters to downstream. To determine how differences in geomorphologic settings influence spatial heterogeneity in transport and retention of nutrients, a hierarchical network perspective is needed, comprising connectivity, residence times, and reactivity interactions (Lin et al, 2016;Stewart et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Estimating water residence time distribution in river networks by boosted regression trees (BRT) model

Feng

Venohr

2018

Preprint

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Abstract. In-stream water residence time (WRT) in river networks is a crucial driver for biogeochemical processes in riverine ecosystems. Dynamics of the WRT are critical for understanding and modelling nutrient retention in lakes and rivers, in particular during flood events when riparian areas are inundated. This study illustrates the potential utility of integrating spatial landscape analysis with machine learning statistics to understand the effects of hydrology and geomorphology on WRT in river networks, especially at large scales. We applied the Boosted Regression Trees (BRT) approach to estimate water residence, a promising multi-regression spatial distribution model with consistent cross-validation procedure, and identified the crucial factors of influence. Reach-average WRTs were estimated for the annual mean hydrologic conditions as well as the flood and drought month, respectively. Results showed that the three most contributing factors in shaping the WRT distribution are river discharge (57 %), longitudinal slope (21 %), and the drainage area (15 %). This study enables the identification of key controlling factors of the reach-average WRT and estimation of WRT under varying hydrological conditions. The resulting distribution model of WRT is an easy to apply and sound approach helping to improve water quality modelling at larger scales and water management approaches aiming to estimate nutrient fluxes in river systems.

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Incorporating ecogeomorphic feedbacks to better understand resiliency in streams: A review and directions forward

et al. 2018

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The influence of geomorphic unit spatial distribution on nitrogen retention and removal in a large river

Cited by 6 publications

References 30 publications

Evaluating Instream Restoration Effectiveness in Reducing Nitrogen Export from an Urban Catchment with a Data‐Model Approach

Evaluating Instream Restoration Effectiveness in Reducing Nitrogen Export from an Urban Catchment with a Data‐Model Approach

Estimating water residence time distribution in river networks by boosted regression trees (BRT) model

Incorporating ecogeomorphic feedbacks to better understand resiliency in streams: A review and directions forward

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