Significance of Exchanging SSURGO and STATSGO Data When Modeling Hydrology in Diverse Physiographic Terranes
The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL‐based hydrologic model that depends on spatially accurate soils data to function in diverse terranes. In Kentucky, this includes mountainous regions, karstic plateau, and alluvial plains. Soils data are critical because th...
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| Published in | Soil Science Society of America journal Vol. 77; no. 3; pp. 877 - 889 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Madison
The Soil Science Society of America, Inc
01.05.2013
American Society of Agronomy |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0361-5995 1435-0661 |
| DOI | 10.2136/sssaj2012.0069 |
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| Abstract | The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL‐based hydrologic model that depends on spatially accurate soils data to function in diverse terranes. In Kentucky, this includes mountainous regions, karstic plateau, and alluvial plains. Soils data are critical because they quantify the space to store water, as well as how water moves through the soil to the stream during storm events. We compared how the model performs using two different sources of soils data—Soil Survey Geographic Database (SSURGO) and State Soil Geographic Database laboratory data (STATSGO)—for 21 basins ranging in size from 17 to 1564 km2. Model results were consistently better when SSURGO data were used, likely due to the higher field capacity, porosity, and available‐water holding capacity, which cause the model to store more soil‐water in the landscape and improve streamflow estimates for both low‐ and high‐flow conditions. In addition, there were significant differences in the conductivity multiplier and scaling parameter values that describe how water moves vertically and laterally, respectively, as quantified by TOPMODEL. We also evaluated whether partitioning areas that drain to streams via sinkholes in karstic basins as separate hydrologic modeling units (HMUs) improved model performance. There were significant differences between HMUs in properties that control soil‐water storage in the model, although the effect of partitioning these HMUs on streamflow simulation was inconclusive. |
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| AbstractList | The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL-based hydrologic model that depends on spatially accurate soils data to function in diverse terranes. In Kentucky, this includes mountainous regions, karstic plateau, and alluvial plains. Soils data are critical because they quantify the space to store water, as well as how water moves through the soil to the stream during storm events. We compared how the model performs using two different sources of soils data-Soil Survey Geographic Database (SSURGO) and State Soil Geographic Database laboratory data (STATSGO)-for 21 basins ranging in size from 17 to 1564 km^sup 2^. Model results were consistently better when SSURGO data were used, likely due to the higher field capacity, porosity, and available-water holding capacity, which cause the model to store more soil-water in the landscape and improve streamflow estimates for both low- and high-flow conditions. In addition, there were significant differences in the conductivity multiplier and scaling parameter values that describe how water moves vertically and laterally, respectively, as quantified by TOPMODEL. We also evaluated whether partitioning areas that drain to streams via sinkholes in karstic basins as separate hydrologic modeling units (HMUs) improved model performance. There were significant differences between HMUs in properties that control soil-water storage in the model, although the effect of partitioning these HMUs on streamflow simulation was inconclusive. [PUBLICATION ABSTRACT] The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL-based hydrologic model that depends on spatially accurate soils data to function in diverse terranes. In Kentucky, this includes mountainous regions, karstic plateau, and alluvial plains. Soils data are critical because they quantify the space to store water, as well as how water moves through the soil to the stream during storm events. We compared how the model performs using two different sources of soils data—Soil Survey Geographic Database (SSURGO) and State Soil Geographic Database laboratory data (STATSGO)—for 21 basins ranging in size from 17 to 1564 km². Model results were consistently better when SSURGO data were used, likely due to the higher field capacity, porosity, and available-water holding capacity, which cause the model to store more soil-water in the landscape and improve streamflow estimates for both low- and high-flow conditions. In addition, there were significant differences in the conductivity multiplier and scaling parameter values that describe how water moves vertically and laterally, respectively, as quantified by TOPMODEL. We also evaluated whether partitioning areas that drain to streams via sinkholes in karstic basins as separate hydrologic modeling units (HMUs) improved model performance. There were significant differences between HMUs in properties that control soil-water storage in the model, although the effect of partitioning these HMUs on streamflow simulation was inconclusive. The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL‐based hydrologic model that depends on spatially accurate soils data to function in diverse terranes. In Kentucky, this includes mountainous regions, karstic plateau, and alluvial plains. Soils data are critical because they quantify the space to store water, as well as how water moves through the soil to the stream during storm events. We compared how the model performs using two different sources of soils data—Soil Survey Geographic Database (SSURGO) and State Soil Geographic Database laboratory data (STATSGO)—for 21 basins ranging in size from 17 to 1564 km2. Model results were consistently better when SSURGO data were used, likely due to the higher field capacity, porosity, and available‐water holding capacity, which cause the model to store more soil‐water in the landscape and improve streamflow estimates for both low‐ and high‐flow conditions. In addition, there were significant differences in the conductivity multiplier and scaling parameter values that describe how water moves vertically and laterally, respectively, as quantified by TOPMODEL. We also evaluated whether partitioning areas that drain to streams via sinkholes in karstic basins as separate hydrologic modeling units (HMUs) improved model performance. There were significant differences between HMUs in properties that control soil‐water storage in the model, although the effect of partitioning these HMUs on streamflow simulation was inconclusive. The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL‐based hydrologic model that depends on spatially accurate soils data to function in diverse terranes. In Kentucky, this includes mountainous regions, karstic plateau, and alluvial plains. Soils data are critical because they quantify the space to store water, as well as how water moves through the soil to the stream during storm events. We compared how the model performs using two different sources of soils data—Soil Survey Geographic Database (SSURGO) and State Soil Geographic Database laboratory data (STATSGO)—for 21 basins ranging in size from 17 to 1564 km 2 . Model results were consistently better when SSURGO data were used, likely due to the higher field capacity, porosity, and available‐water holding capacity, which cause the model to store more soil‐water in the landscape and improve streamflow estimates for both low‐ and high‐flow conditions. In addition, there were significant differences in the conductivity multiplier and scaling parameter values that describe how water moves vertically and laterally, respectively, as quantified by TOPMODEL. We also evaluated whether partitioning areas that drain to streams via sinkholes in karstic basins as separate hydrologic modeling units (HMUs) improved model performance. There were significant differences between HMUs in properties that control soil‐water storage in the model, although the effect of partitioning these HMUs on streamflow simulation was inconclusive. The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL-based hydrologic model that depends on spatially accurate soils data to function in diverse terranes. In Kentucky, this includes mountainous regions, karstic plateau, and alluvial plains. Soils data are critical because they quantify the space to store water, as well as how water moves through the soil to the stream during storm events. We compared how the model performs using two different sources of soils data-Soil Survey Geographic Database (SSURGO) and State Soil Geographic Database laboratory data (STATSGO)-for 21 basins ranging in size from 17 to 1564 km sigma up 2 greater than or equal to Model results were consistently better when SSURGO data were used, likely due to the higher field capacity, porosity, and available-water holding capacity, which cause the model to store more soil-water in the landscape and improve streamflow estimates for both low- and high-flow conditions. In addition, there were significant differences in the conductivity multiplier and scaling parameter values that describe how water moves vertically and laterally, respectively, as quantified by TOPMODEL. We also evaluated whether partitioning areas that drain to streams via sinkholes in karstic basins as separate hydrologic modeling units (HMUs) improved model performance. There were significant differences between HMUs in properties that control soil-water storage in the model, although the effect of partitioning these HMUs on streamflow simulation was inconclusive. [PUBLICATIONABSTRACT] |
| Author | Newson, Jeremy K. Taylor, Charles J. Williamson, Tanja N. |
| Author_xml | – sequence: 1 givenname: Tanja N. surname: Williamson fullname: Williamson, Tanja N. email: tnwillia@usgs.gov organization: US Geological Survey – sequence: 2 givenname: Charles J. surname: Taylor fullname: Taylor, Charles J. organization: Kentucky Geological Survey – sequence: 3 givenname: Jeremy K. surname: Newson fullname: Newson, Jeremy K. organization: US Geological Survey |
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| Cites_doi | 10.1007/978-94-009-4678-1_3 10.1002/hyp.3360060208 10.1029/WR023i012p02266 10.1016/0022-1694(90)90207-E 10.1016/0022-1694(88)90090-X 10.1002/hyp.5027 10.1029/WR025i005p00829 10.1016/0022-1694(83)90214-7 10.3354/cr011149 10.1061/(ASCE)1084-0699(2006)11:6(597) 10.1016/0022-1694(70)90255-6 10.1016/0022-1694(84)90159-8 10.1029/RG028i001p00001 10.1007/BF01903418 10.1016/j.ecolmodel.2007.08.014 10.1002/(SICI)1099-1085(199707)11:9<1115::AID-HYP548>3.0.CO;2-T 10.1007/978-94-009-4678-1_6 10.1029/92WR01561 10.1097/00010694-194111000-00009 10.1002/for.3980100107 10.1029/WR021i012p01841 10.1080/02626667909491834 10.1016/0022-1694(88)90192-8 10.1080/02626668409490960 10.1016/S0098-3004(97)00081-2 10.1016/0304-3800(91)90199-B 10.1029/WR026i001p00043 |
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| Copyright | Copyright © by the Soil Science Society of America, Inc. Copyright American Society of Agronomy May 2013 |
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| References | 2002; 16 1991; 56 1984; 69 1991; 12 2012 2011 2006b 2006a 1991; 10 2009 2008 1997 1988; 102 1970; 10 2007 1988; 100 1984; 29 1994 1993 1992 2003 2002 1985; 21 1989; 25 1998; 24 11 1992; 6 1987; 23 1979; 24 1990; 115 1997; 11 1990; 26 2000 1990; 28 1992; 28 1986b 1983; 65 1986 1941 1999; 11 1986a 2008; 211 1988 Ritter D.F. (e_1_2_8_25_1) 1986 e_1_2_8_28_1 e_1_2_8_29_1 Helsel D.R. (e_1_2_8_14_1) 2002 e_1_2_8_47_1 e_1_2_8_46_1 e_1_2_8_26_1 e_1_2_8_27_1 e_1_2_8_48_1 Morlock S.E. (e_1_2_8_22_1) 2008 Quinn P.F. (e_1_2_8_24_1) 1997 e_1_2_8_3_1 e_1_2_8_2_1 e_1_2_8_5_1 e_1_2_8_7_1 e_1_2_8_6_1 e_1_2_8_9_1 Coon W.F. (e_1_2_8_11_1) 2011 Wolock D.M. (e_1_2_8_42_1) 2003 e_1_2_8_8_1 Taylor C.J. (e_1_2_8_30_1) 2008 Woods A.J. (e_1_2_8_49_1) 2002 e_1_2_8_43_1 e_1_2_8_45_1 e_1_2_8_23_1 e_1_2_8_44_1 e_1_2_8_40_1 e_1_2_8_17_1 e_1_2_8_18_1 e_1_2_8_19_1 Taylor C. J. (e_1_2_8_31_1) 2012 e_1_2_8_13_1 Wolock D. M. (e_1_2_8_41_1) 1993 e_1_2_8_15_1 e_1_2_8_38_1 Williamson T. N. (e_1_2_8_39_1) 2009 e_1_2_8_16_1 USEPA (e_1_2_8_36_1) 2011 e_1_2_8_37_1 USDA‐NRCS (e_1_2_8_34_1) 2006 McCuen R. (e_1_2_8_21_1); 11 USDA‐NRCS. (e_1_2_8_32_1) 1993 USDA‐NRCS (e_1_2_8_35_1) 2006 Martin G.R. (e_1_2_8_20_1) 2000 e_1_2_8_10_1 e_1_2_8_12_1 Beven K.J. (e_1_2_8_4_1) 1986 USDA‐NRCS (e_1_2_8_33_1) 1994 |
| References_xml | – year: 2011 – volume: 211 start-page: 57 year: 2008 end-page: 76 article-title: Use of an integrated flow model to estimate ecologically relevant hydrologic characteristics at stream biomonitoring sites publication-title: Ecol. Modell. – start-page: 107 year: 1986b end-page: 131 – volume: 24 start-page: 43 year: 1979 end-page: 69 article-title: A physically based, variable contributing area model of basin hydrology/Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant publication-title: Hydrol. Sci. Bull. – volume: 26 start-page: 43 year: 1990 end-page: 58 article-title: On hydrologic similarity: 3. A dimensionless flood frequency model using a generalized geomorphologic unit hydrograph and partial area runoff generation publication-title: Water Resour. Res. – year: 2009 – volume: 12 start-page: 179 year: 1991 end-page: 204 article-title: Evapotranspiration and runoff from large land areas: Land surface hydrology for atmospheric general circulation models publication-title: Surv. Geophys. – volume: 21 start-page: 1841 year: 1985 end-page: 1850 article-title: Shenandoah watershed study: Calibration of a topography‐based, variable contributing area hydrological model to a small forested catchment publication-title: Water Resour. Res. – volume: 23 start-page: 2266 year: 1987 end-page: 2278 article-title: On hydrologic similarity: 2. A scaled model of storm runoff production publication-title: Water Resour. Res. – volume: 6 start-page: 199 year: 1992 end-page: 214 article-title: Towards identifying sources of subsurface flow: A comparison of components identified by a physically based runoff model and those determined by chemical mixing techniques publication-title: Hydrol. Processes – year: 1941 – volume: 11 start-page: 149 year: 1999 end-page: 159 article-title: Explaining spatial variability in mean annual runoff in the conterminous United States publication-title: Clim. Res. – volume: 100 start-page: 353 year: 1988 end-page: 375 article-title: On hydrological heterogeneity—Catchment morphology and catchment response publication-title: J. Hydrol. – volume: 25 start-page: 829 year: 1989 end-page: 837 article-title: The relationship of catchment topography and soil hydraulic characteristics to lake alkalinity in the northeastern United States publication-title: Water Resour. Res. – volume: 11 start-page: 1115 year: 1997 end-page: 1129 article-title: A MATLAB implementation of TOPMODEL publication-title: Hydrol. Processes – volume: 115 start-page: 243 year: 1990 end-page: 259 article-title: Topographic effects on flow path and surface water chemistry of the Llyn Brianne catchments in Wales publication-title: J. Hydrol. – year: 2003 – year: 2000 – volume: 69 start-page: 119 year: 1984 end-page: 143 article-title: Testing a physically‐based flood forecasting model (TOPMODEL) for three U.K. catchments publication-title: J. Hydrol. – volume: 28 start-page: 2733 year: 1992 end-page: 2741 article-title: Sensitivity of a basin evolution model to the nature of runoff production and to initial conditions publication-title: Water Resour. Res. – year: 2006a – start-page: 187 year: 1986a end-page: 202 – volume: 29 start-page: 425 year: 1984 end-page: 434 article-title: Infiltration into a class of vertically non‐uniform soils publication-title: Hydrol. Sci. J. – year: 1992 – year: 1994 – year: 2012 – volume: 102 start-page: 29 year: 1988 end-page: 47 article-title: Effects of spatial variability and scale with implications to hydrologic modeling publication-title: J. Hydrol. – year: 1986 – volume: 24 start-page: 299 year: 1998 end-page: 314 article-title: Interactions between model predictions, parameters and DTM scales for topmodel publication-title: Comput. Geosci. – volume: 65 start-page: 139 year: 1983 end-page: 158 article-title: Catchment geomorphology and the dynamics of runoff contributing areas publication-title: J. Hydrol. – year: 2002 – year: 2008 – year: 1988 – volume: 11 start-page: 597 end-page: 602 article-title: 2006. Evaluation of the Nash–Sutcliffe efficiency index publication-title: J. Hydrol. Eng. – start-page: 39 year: 1986 end-page: 56 – volume: 16 start-page: 1871 year: 2002 end-page: 1877 article-title: Estimation of baseflow residence times in watersheds from the runoff hydrograph recession: Method and application in the Neversink watershed, Catskill Mountains, New York publication-title: Hydrol. Processes – year: 2006b – start-page: 31 year: 1997 end-page: 52 – volume: 28 start-page: 1 year: 1990 end-page: 18 article-title: Similarity and scale in catchment storm response publication-title: Rev. Geophys. – volume: 10 start-page: 105 year: 1991 end-page: 116 article-title: Hydrological effects of changes in levels of atmospheric carbon dioxide publication-title: J. Forecast. – year: 1993 – volume: 10 start-page: 282 year: 1970 end-page: 290 article-title: River flow forecasting through conceptual models part I—A discussion of principles publication-title: J. Hydrol. – volume: 56 start-page: 171 year: 1991 end-page: 196 article-title: Forest ecosystem processes at the watershed scale: Basis for distributed simulation publication-title: Ecol. Modell. – year: 2007 article-title: Implications of SSURGO versus STATSGO data for modeling daily streamflow in Kentucky – ident: e_1_2_8_19_1 doi: 10.1007/978-94-009-4678-1_3 – volume-title: U.S. Geological Survey Data Series 339 year: 2008 ident: e_1_2_8_30_1 – volume-title: Scientific Investigations Rep. 2012–5071 year: 2012 ident: e_1_2_8_31_1 – start-page: 31 volume-title: Distributed hydrological modeling: Applications of the TOPMODEL concept year: 1997 ident: e_1_2_8_24_1 – volume-title: Statistical Methods in Water Resources. Chapter A3 in Techniques of the Water‐Resources Investigations of the USGS Book 4‐ Hydrologic Analysis and Interpretation year: 2002 ident: e_1_2_8_14_1 – volume-title: U.S. Geological Survey Open File Rep. 2008–1322 year: 2008 ident: e_1_2_8_22_1 – ident: e_1_2_8_26_1 doi: 10.1002/hyp.3360060208 – ident: e_1_2_8_28_1 doi: 10.1029/WR023i012p02266 – volume-title: Simulating the variable‐source‐area concept of streamflow generation with the watershed model TOPMODEL year: 1993 ident: e_1_2_8_41_1 – ident: e_1_2_8_45_1 doi: 10.1016/0022-1694(90)90207-E – ident: e_1_2_8_48_1 doi: 10.1016/0022-1694(88)90090-X – volume-title: Soil survey manual. Soil Survey Staff, Natural Resources Conservation Service year: 1993 ident: e_1_2_8_32_1 – ident: e_1_2_8_37_1 doi: 10.1002/hyp.5027 – volume-title: Process Geomorphology year: 1986 ident: e_1_2_8_25_1 – ident: e_1_2_8_40_1 – ident: e_1_2_8_44_1 doi: 10.1029/WR025i005p00829 – volume-title: U.S. Geological Survey Open‐File Rep. 2011–1202 year: 2011 ident: e_1_2_8_11_1 – ident: e_1_2_8_8_1 doi: 10.1016/0022-1694(83)90214-7 – ident: e_1_2_8_46_1 doi: 10.3354/cr011149 – volume-title: State soil geographic (STATSGO) data base for Kentucky year: 1994 ident: e_1_2_8_33_1 – volume-title: Draft guidance on identifying waters protected by the clean water act year: 2011 ident: e_1_2_8_36_1 – volume: 11 start-page: 597 ident: e_1_2_8_21_1 article-title: 2006. Evaluation of the Nash–Sutcliffe efficiency index publication-title: J. Hydrol. Eng. doi: 10.1061/(ASCE)1084-0699(2006)11:6(597) – ident: e_1_2_8_23_1 doi: 10.1016/0022-1694(70)90255-6 – ident: e_1_2_8_7_1 doi: 10.1016/0022-1694(84)90159-8 – ident: e_1_2_8_47_1 doi: 10.1029/RG028i001p00001 – ident: e_1_2_8_13_1 doi: 10.1007/BF01903418 – ident: e_1_2_8_18_1 doi: 10.1016/j.ecolmodel.2007.08.014 – volume-title: U.S. Geological Survey Water‐Resources Investigations Rep. 2000–4239 year: 2000 ident: e_1_2_8_20_1 – ident: e_1_2_8_27_1 doi: 10.1002/(SICI)1099-1085(199707)11:9<1115::AID-HYP548>3.0.CO;2-T – volume-title: The Water Availability Tool for Environmental Resources (WATER)—A water‐budget modeling approach for managing water‐supply resources in Kentucky—Phase I—Data processing, model development, and application to non‐karst areas. U.S. Geological Survey Scientific Investigations Rep. 34 year: 2009 ident: e_1_2_8_39_1 – ident: e_1_2_8_5_1 doi: 10.1007/978-94-009-4678-1_6 – volume-title: Soil survey geographic (SSURGO) database for GA. Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture year: 2006 ident: e_1_2_8_34_1 – ident: e_1_2_8_16_1 doi: 10.1029/92WR01561 – ident: e_1_2_8_38_1 – ident: e_1_2_8_17_1 doi: 10.1097/00010694-194111000-00009 – volume-title: Infiltration‐excess overland flow estimated by TOPMODEL for the conterminous United States. U.S. Geological Survey Open‐File Rep. 03–310 year: 2003 ident: e_1_2_8_42_1 – ident: e_1_2_8_43_1 doi: 10.1002/for.3980100107 – ident: e_1_2_8_15_1 doi: 10.1029/WR021i012p01841 – ident: e_1_2_8_6_1 doi: 10.1080/02626667909491834 – ident: e_1_2_8_9_1 doi: 10.1016/0022-1694(88)90192-8 – ident: e_1_2_8_3_1 doi: 10.1080/02626668409490960 – ident: e_1_2_8_12_1 – start-page: 187 volume-title: Hillslope processes year: 1986 ident: e_1_2_8_4_1 – ident: e_1_2_8_10_1 doi: 10.1016/S0098-3004(97)00081-2 – ident: e_1_2_8_2_1 doi: 10.1016/0304-3800(91)90199-B – ident: e_1_2_8_29_1 doi: 10.1029/WR026i001p00043 – volume-title: Ecoregions of Kentucky (color poster with map, descriptive text, summary tables, and photographs). (map scale 1:1,000,000) year: 2002 ident: e_1_2_8_49_1 – volume-title: U.S. general soil map (STATSGO2). Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture year: 2006 ident: e_1_2_8_35_1 |
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| Snippet | The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL‐based hydrologic model that depends on spatially accurate soils data to function... The Water Availability Tool for Environmental Resources (WATER) is a TOPMODEL-based hydrologic model that depends on spatially accurate soils data to function... |
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| SubjectTerms | Alluvial plains aquifers Basins Climate change Drought Field capacity Floods High flow Hydrologic models Hydrology Karstic areas Kentucky landscapes Mathematical models model validation Moisture content Mountain regions mountains multipliers Partitioning Porosity Precipitation Programming languages Sinkholes Soil (material) Soil surveys Soil water soil water storage Stores storms Stream discharge Stream flow Streams Studies surveys Water availability Water quality Water storage |
| Title | Significance of Exchanging SSURGO and STATSGO Data When Modeling Hydrology in Diverse Physiographic Terranes |
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