Nested‐Scale Nutrient Flux in a Mixed‐Land‐Use Urbanizing Watershed

Zeiger, Sean J.; Hubbart, Jason A.

doi:10.1002/hyp.10716

Cited by 26 publications

(21 citation statements)

References 43 publications

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“…The stage was measured at each Hinkson Creek gauging site using Sutron Accubar ® constant flow bubblers with an accuracy of 0.02% at 0-7.6 m to 0.05% at 7.6-15.4 m [35][36][37][38]. Precipitation and stage data were stored on Campbell Scientific CR-1000 data loggers.…”

Section: Site Descriptionmentioning

confidence: 99%

An Assessment of Mean Areal Precipitation Methods on Simulated Stream Flow: A SWAT Model Performance Assessment

Zeiger

Hubbart

2017

Water

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Accurate mean areal precipitation (MAP) estimates are essential input forcings for hydrologic models. However, the selection of the most accurate method to estimate MAP can be daunting because there are numerous methods to choose from (e.g., proximate gauge, direct weighted average, surface-fitting, and remotely sensed methods). Multiple methods (n = 19) were used to estimate MAP with precipitation data from 11 distributed monitoring sites, and 4 remotely sensed data sets. Each method was validated against the hydrologic model simulated stream flow using the Soil and Water Assessment Tool (SWAT). SWAT was validated using a split-site method and the observed stream flow data from five nested-scale gauging sites in a mixed-land-use watershed of the central USA. Cross-validation results showed the error associated with surface-fitting and remotely sensed methods ranging from −4.5% to −5.1%, and −9.8% to −14.7%, respectively. Split-site validation results showed the percent bias (PBIAS) values that ranged from −4.5% to −160%. Second order polynomial functions especially overestimated precipitation and subsequent stream flow simulations (PBIAS = −160) in the headwaters. The results indicated that using an inverse-distance weighted, linear polynomial interpolation or multiquadric function method to estimate MAP may improve SWAT model simulations. Collectively, the results highlight the importance of spatially distributed observed hydroclimate data for precipitation and subsequent steam flow estimations. The MAP methods demonstrated in the current work can be used to reduce hydrologic model uncertainty caused by watershed physiographic differences.

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Section: Site Descriptionmentioning

confidence: 99%

An Assessment of Mean Areal Precipitation Methods on Simulated Stream Flow: A SWAT Model Performance Assessment

Zeiger

Hubbart

2017

Water

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“…Particularly, land use/land cover (LULC) change in the watersheds has been a focal area of study for decades among researchers, land planners, and stream managers because of its significant impacts on stream water quality. LULC changes in watersheds can alter watershed characteristics [3,4], thereby affecting various physical and biochemical stream characteristics, such as water temperature, nutrient/chemical concentration, sediment regime, stream geomorphology, aquatic habitat, and ecological biodiversity [3,[5][6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Spatially Varying and Scale-Dependent Relationships of Land Use Types with Stream Water Quality

Park

Lee

2020

IJERPH

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Understanding the complex relationships between land use and stream water quality is critical for water pollution control and watershed management. This study aimed to investigate the relationship between land use types and water quality indicators at multiple spatial scales, namely, the watershed and riparian scales, using the ordinary least squares (OLS) and geographically weighted regression (GWR) models. GWR extended traditional regression models, such as OLS to address the spatial variations among variables. Our results indicated that the water quality indicators were significantly affected by agricultural and forested areas at both scales. We found that extensive agricultural land use had negative effects on water quality indicators, whereas, forested areas had positive effects on these indicators. The results also indicated that the watershed scale is effective for management and regulation of watershed land use, as the predictive power of the models is much greater at the watershed scale. The maps of estimated local parameters and local R2 in GWR models showcased the spatially varying relationships and indicated that the effects of land use on water quality varied over space. The results of this study reinforced the importance of watershed management in the planning, restoration, and management of stream water quality. It is also suggested that planners and managers may need to adopt different strategies, considering watershed characteristics—such as topographic features and meteorological conditions—and the source of pollutants, in managing stream water quality.

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“…However, the sub-watershed includes 36% forested land cover and approximately 60% agricultural land uses. Agricultural land uses have previously been shown to negatively impact DO regimes and alter stream metabolism via nutrient loading, hydrological alteration, and riparian canopy reduction [20,49,50]. A previous work conducted in HCW [50] reported significantly (p < 0.01) higher nutrient concentrations (i.e., nitrate, ammonia, total inorganic nitrogen, and total phosphorus) at site #1 relative to all other sites.…”

Section: Stream Physiochemical Parametersmentioning

confidence: 89%

“…Agricultural land uses have previously been shown to negatively impact DO regimes and alter stream metabolism via nutrient loading, hydrological alteration, and riparian canopy reduction [20,49,50]. A previous work conducted in HCW [50] reported significantly (p < 0.01) higher nutrient concentrations (i.e., nitrate, ammonia, total inorganic nitrogen, and total phosphorus) at site #1 relative to all other sites. Thus, given observed DO trends, results of the current work suggest that agriculture-induced water quality degradation in the headwaters catchment are propagating downstream in Hinkson Creek.…”

Section: Stream Physiochemical Parametersmentioning

confidence: 89%

Advancing Understanding of the Surface Water Quality Regime of Contemporary Mixed-Land-Use Watersheds: An Application of the Experimental Watershed Method

Kellner

Hubbart

2017

Hydrology

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A representative watershed was instrumented with five gauging sites (n = 5), partitioning the catchment into five nested-scale sub-watersheds. Four physiochemical variables were monitored: water temperature, pH, total dissolved solids (TDS), and dissolved oxygen (DO). Data were collected four days per week from October 2010-May 2014 at each gauging site. Statistical analyses indicated significant differences (p < 0.05) between nearly every monitoring site pairing for each physiochemical variable. The water temperature regime displayed a threshold/step-change condition, with an upshifted and more variable regime attributable to the impacts of urban land uses. TDS, pH, and DO displayed similar spatiotemporal trends, with increasing median concentrations from site #1 (agriculture) to #3 (mixed-use urban) and decreasing median concentrations from site #3 to #5 (suburban). Decreasing concentrations and increasing streamflow volume with stream distance, suggest the contribution of dilution processes to the physiochemical regime of the creek below urban site #3. DO concentrations exceeded water quality standards on an average of 31% of observation days. Results showed seasonal trends for each physiochemical parameter, with higher TDS, pH, and DO during the cold season (November-April) relative to the warm season (May-October). Multivariate modeling results emphasize the importance of the pH/DO relationship in these systems, and demonstrate the potential utility of a simple two factor model (water temperature and pH) in accurately predicting DO. Collectively, results highlight the interacting influences of natural (autotrophic photosynthesis, organic detritus loading) and anthropogenic (road salt application) factors on the physiochemical regime of mixed-land-use watersheds.

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Nested‐Scale Nutrient Flux in a Mixed‐Land‐Use Urbanizing Watershed

Cited by 26 publications

References 43 publications

An Assessment of Mean Areal Precipitation Methods on Simulated Stream Flow: A SWAT Model Performance Assessment

An Assessment of Mean Areal Precipitation Methods on Simulated Stream Flow: A SWAT Model Performance Assessment

Spatially Varying and Scale-Dependent Relationships of Land Use Types with Stream Water Quality

Advancing Understanding of the Surface Water Quality Regime of Contemporary Mixed-Land-Use Watersheds: An Application of the Experimental Watershed Method

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