Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Surficial Geology

Wieczorek, Michael E.; LaMotte, Andrew E.

doi:10.3133/dds49125

Cited by 8 publications

(10 citation statements)

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“…The models were calibrated using available stream loading data that were collected by federal, state, and local agencies, and which reflect conditions within the regions ( Saad et al , this issue ). In most cases, explanatory variable data were defined using nationally consistent geospatial datasets ( Wieczorek and Lamotte, 2011a , b ;). However, in a few cases explanatory variable data were developed from geospatial datasets that are unique to the modeled region.…”

Section: Methodsmentioning

confidence: 99%

Factors Affecting Stream Nutrient Loads: A Synthesis of Regional SPARROW Model Results for the Continental United States1

Preston

Alexander

Schwarz

et al. 2011

JAWRA Journal of the American Water Resources Association

108

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We compared the results of 12 recently calibrated regional SPARROW (SPAtially Referenced Regressions On Watershed attributes) models covering most of the continental United States to evaluate the consistency and regional differences in factors affecting stream nutrient loads. The models – 6 for total nitrogen and 6 for total phosphorus – all provide similar levels of prediction accuracy, but those for major river basins in the eastern half of the country were somewhat more accurate. The models simulate long-term mean annual stream nutrient loads as a function of a wide range of known sources and climatic (precipitation, temperature), landscape (e.g., soils, geology), and aquatic factors affecting nutrient fate and transport. The results confirm the dominant effects of urban and agricultural sources on stream nutrient loads nationally and regionally, but reveal considerable spatial variability in the specific types of sources that control water quality. These include regional differences in the relative importance of different types of urban (municipal and industrial point vs. diffuse urban runoff) and agriculture (crop cultivation vs. animal waste) sources, as well as the effects of atmospheric deposition, mining, and background (e.g., soil phosphorus) sources on stream nutrients. Overall, we found that the SPARROW model results provide a consistent set of information for identifying the major sources and environmental factors affecting nutrient fate and transport in United States watersheds at regional and subregional scales.

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Section: Methodsmentioning

confidence: 99%

Factors Affecting Stream Nutrient Loads: A Synthesis of Regional SPARROW Model Results for the Continental United States1

Preston

Alexander

Schwarz

et al. 2011

JAWRA Journal of the American Water Resources Association

108

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“…The nutrient source and watershed properties used in the PNW SPARROW models were summarized for each one of the incremental watersheds, either as part of a national geospatial dataset ( Wieczorek and Lamotte, 2011 ) or specifically for the PNW. Point-source nutrient loads for 2002 were estimated by multiplying measured discharge by source-specific or regionally averaged, industry-specific TN and TP concentrations ( Maupin and Ivahnenko, this issue ).…”

Section: Methodsmentioning

confidence: 99%

“…The areas of developed and forest land within each watershed were obtained from the National Land Cover Database ( Homer et al , 2004 ). The annual nitrogen loading from wet deposition of inorganic nitrogen was estimated from data obtained from the National Atmospheric Deposition Program ( Wieczorek and Lamotte, 2011 ). The annual nitrogen and phosphorus loadings from fertilizer use and livestock waste were estimated by disaggregating county-level estimates to the agricultural land within each county ( Ruddy et al , 2006 ).…”

Section: Methodsmentioning

confidence: 99%

Surface-Water Nutrient Conditions and Sources in the United States Pacific Northwest1

Wise

Johnson

2011

JAWRA Journal of the American Water Resources Association

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The SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was used to perform an assessment of surface-water nutrient conditions and to identify important nutrient sources in watersheds of the Pacific Northwest region of the United States (U.S.) for the year 2002. Our models included variables representing nutrient sources as well as landscape characteristics that affect nutrient delivery to streams. Annual nutrient yields were higher in watersheds on the wetter, west side of the Cascade Range compared to watersheds on the drier, east side. High nutrient enrichment (relative to the U.S. Environmental Protection Agency's recommended nutrient criteria) was estimated in watersheds throughout the region. Forest land was generally the largest source of total nitrogen stream load and geologic material was generally the largest source of total phosphorus stream load generated within the 12,039 modeled watersheds. These results reflected the prevalence of these two natural sources and the low input from other nutrient sources across the region. However, the combined input from agriculture, point sources, and developed land, rather than natural nutrient sources, was responsible for most of the nutrient load discharged from many of the largest watersheds. Our results provided an understanding of the regional patterns in surface-water nutrient conditions and should be useful to environmental managers in future water-quality planning efforts.

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“…As the predictors, we used fractions of the watershed area corresponding to each of the 45 surficial geology types (Wieczorek and LaMotte, 2010d; Clawges and Price, 1999) and each of the 162 bedrock geology types (Wieczorek and LaMotte, 2010c;Schruben et al, 1994). Details regarding each geology type can be found in Wieczorek and LaMotte (2010c) and Wieczorek and LaMotte (2010d). Note that in geological terminology, rock type or rock composition data are referred to as lithology data.…”

Section: Geologymentioning

confidence: 99%

Regionalization with hierarchical hydrologic similarity and ex situ data in the context of groundwater recharge estimation at ungauged watersheds

Chang

Rubin

2019

Hydrol. Earth Syst. Sci.

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Abstract. There are various methods available for annual groundwater recharge estimation with in situ observations (i.e., observations obtained at the site/location of interest), but a great number of watersheds around the world still remain ungauged, i.e., without in situ observations of hydrologic responses. One approach for making estimates at ungauged watersheds is regionalization, namely, transferring information obtained at gauged watersheds to ungauged ones. The reliability of regionalization depends on (1) the underlying system of hydrologic similarity, i.e., the similarity in how watersheds respond to precipitation input, as well as (2) the approach by which information is transferred. In this paper, we present a nested tree-based modeling approach for conditioning estimates of hydrologic responses at ungauged watersheds on ex situ data (i.e., data obtained at sites/locations other than the site/location of interest) while accounting for the uncertainties of the model parameters as well as the model structure. The approach is then integrated with a hypothesis of two-leveled hierarchical hydrologic similarity, where the higher level determines the relative importance of various watershed characteristics under different conditions and the lower level performs the regionalization and estimation of the hydrologic response of interest. We apply the nested tree-based modeling approach to investigate the complicated relationship between mean annual groundwater recharge and watershed characteristics in a case study, and apply the hypothesis of hierarchical hydrologic similarity to explain the behavior of a dynamic hydrologic similarity system. Our findings reveal the decisive roles of soil available water content and aridity in hydrologic similarity at the regional and annual scales, as well as certain conditions under which it is risky to resort to climate variables for determining hydrologic similarity. These findings contribute to the understanding of the physical principles governing robust information transfer.

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Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Surficial Geology

Cited by 8 publications

References 0 publications

Factors Affecting Stream Nutrient Loads: A Synthesis of Regional SPARROW Model Results for the Continental United States1

Factors Affecting Stream Nutrient Loads: A Synthesis of Regional SPARROW Model Results for the Continental United States1

Surface-Water Nutrient Conditions and Sources in the United States Pacific Northwest1

Regionalization with hierarchical hydrologic similarity and ex situ data in the context of groundwater recharge estimation at ungauged watersheds

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