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This appendix provides hydrologic soil group (HSG) values for undisturbed Ohio soils and predictable HSG values for Ohio soils that are altered by construction practices. Hanan. For the purpose of this analysis, we refer to individual grid cells (~ 250-m x 250-m) in the raster stack (1 m depth) as soil pedons. Type B hydrologic soils have a Ktablesatvalue of between 10 and 40 μm/sec within at least 50 cm above any restrictive layer and depth to water of at least 60 cm or Ktablesatof 4 - 10 μm/sec and depth to water table of 100 cm or … Temporal Coverage:  These data are modeled to represent contemporary soil runoff potential. Raster Format: GeoTIFF Format: Chapter 7 Hydrologic Soil Groups 630.0700 Introduction This chapter defines four hydrologic soil groups, or HSGs, that, along with land use, management prac-tices, and hydrologic conditions, determine a soil's associated runoff curve number (NEH630.09). https://doi.org/10.3334/ORNLDAAC/1566, , Global Hydrologic Soil Groups (HYSOGs250m) for Curve Number-Based Runoff Modeling: Global_Hydrologic_Soil_Group.pdf, , Global Hydrologic Soil Groups (HYSOGs250m) for Curve Number-Based Runoff Modeling: HYSOGs250m_SciDat.R. No Data Value: 255 This value (maxHSG) was used to assign HSGs for each pixel in the stack, thus representing soil runoff potential for each pedon. USDA is an equal opportunity provider and employer. HYSOGs250m was derived from USDA-based soil texture classes, depth to bedrock, and depth to groundwater table. Table 1. The objective of these curves was to estimate the value of the curve number parameter from Ks data. Number Rows: 67,200 East: 179.999722222222, xll corner: -180 These data were developed to support USDA-based curve-number runoff modeling at regional and continental scales. (DAAC). •Hydrologic Soil Groups are components of some models that estimate direct runoff from rainfall, for example the Curve Number method •Assumptions: – Soil surface is bare – Very moist or wet antecedent water state – Soil is not frozen – Maximum swelling has taken place 1). Variables mapped on uniform space-time grid scales with completeness and consistency, ORNL DAAC User Services Office, P.O. Curve numbers for hydrologic soil group. The Curve Number Generator also requires two user defined look-up tables: (1) the soil group table that provides the conversion from soil types to hydrologic soil groups, and (2) the Curve Number table that defines the land use-soil group categories and curve numbers, similar to Table 2 shown previously. There is one data file of global HSGs at 250 m resolution in GeoTIFF format provided with this dataset. HSG-D has the highest runoff potential (typically contains more than 40% clay and less than 50% sand). These data were developed to support USDA-based curve-number runoff modeling at regional and continental scales. We developed a globally consiste … References, such as from USDA indicate the runoff curve numbers for characteristic land cover descriptions and a hydrologic soil group The basic assumption of the SCS curve number method is that, for a single storm, the ratio of actual soil retention after runoff begins to potential maximum retention is equal to the ratio of direct runoff to available rainfall. CNs for hydrologic soil group Cover Type and Hydrologic Condition A B C D Curve Numbers for Predevelopment Conditions Pasture, Grassland, or Range – Continuous Forage for Grazing: Fair condition (ground cover 50% to 75% and not heavily grazed) 49 69 79 84 Spatial Data Properties: Raster file – HYSOGs250m.tif, Pixel Depth: 8 bit Band Information: Global Hydrological Soil Groups [2] The Soil Conservation Service-Curve Number (SCS- 2020-04-22, Dataset Version: Dual HSGs were assigned to pedons with shallow water tables ( < 60 cm from the surface) using the depth to groundwater table dataset. Research Watersheds used in the determination of NEH4 Curve Numbers ..... 13 2. https://doi.org/10.1126/science.1229881. Contact for Data Center Access Information: Fan, Ying, H Li, and Gonzalo Miguez-Macho. Figure 1. A less restrictive group can be assigned if these soils are drained (e.g., HSG-A). Cell Geometry: area Large Scale Biosphere-Atmosphere Experiment (LBA-ECO), Oregon Transect Ecosystem Research Project (OTTER), Southern African Regional Science Initiative Project (SAFARI 2000), Boreal Ecosystem-Atmosphere Study (BOREAS), Vegetation-Ecosystem Modeling and Analysis Project (VEMAP), International Satellite Land Surface Climatology Project (ISLSCP II), Atmospheric Tracer Transport Model Intercomparison Project (TransCom), Arctic-Boreal Vulnerability Experiment (ABoVE), Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE), Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS), Atmospheric Carbon and Transport - America (ACT-America), Accelerated Canopy Chemistry Program (ACCP), Global Ecosystem Dynamics Investigation (GEDI), https://www.deltares.nl/en/projects/glowasis-providing-access-water-scarcity-data/, https://doi.org/10.1371/journal.pone.0169748, https://www.nrcs.usda.gov/wps/portal/nrcs/detailfull/national/water/manage/hydrology/?cid=stelprdb1043063, HSG-A: low runoff potential (>90% sand and <10% clay), HSG-B: moderately low runoff potential (50-90% sand and 10-20% clay), HSG-C: moderately high runoff potential (<50% sand and 20-40% clay), HSG-D: high runoff potential (<50% sand and >40% clay), HSG-A/D: high runoff potential unless drained (>90% sand and <10% clay), HSG-B/D: high runoff potential unless drained (50-90% sand and 10-20% clay), HSG-C/D: high runoff potential unless drained (<50% sand and 20-40% clay), HSG-D/D: high runoff potential unless drained (<50% sand and >40% clay). Groundwater table depth was obtained from Fan et al (2013). All computations were performed with the R open source environment for statistical computing and functions from the raster package. Land use data 2. Runoff curve numbers are used to estimate direct runoff from rainfall (NEH630.10). Anchang, S.S. Kumar, W. Ji, and N.P. There are no listed data contacts for this collection. This research was supported in part by the US National Aeronautic and Space Administration as part of the NASA Carbon Cycle Science program (Grant # NNX17AI49G). We classified HSGs from USDA-based soil texture classes, depth to bedrock, and depth to water table as specified in the NEH (NRCS, 2009). These soils receive are assigned dual HSGs, as a less restrictive class group can be assigned (according to texture or KS) if they can be adequately drained. (Hengl et al., 2017). 2018. It is recommended that hydrologic soil group D be adopted for sandy‐loam and silty‐loam postmine soils and used with the appropriate postmine land use to calculate CN values for reclaimed‐surface‐mine watersheds. 1. Point in Pixel: center. This dataset - HYSOGs250m - represents a globally consistent, gridded dataset of hydrologic soil groups (HSGs) with a geographical resolution of 1/480 decimal degrees, corresponding to a projected resolution of approximately 250-m. GeoTIFF, Format Type: SoilGrids250m: Global gridded soil information based on machine learning. These data were developed to support USDA-based curve-number runoff modeling at regional and continental scales. The resulting data product—HYSOGs250m—represents general soil runoff potential suitable for regional, continental, and global scale analyses and is available in a gridded format at a spatial resolution of 250 m (Fig. These data were developed to support CN-based runoff modeling for ecological and hydrological models at regional to global scales. Number of Bands: 1 Soil type data (hydrologic soil group A, B, C, or D, where the infiltration capacity decreases from A to D) 3. Clay loam, Silty clay loam, Sandy clay loam, Loam, Silty loam, Silt. Spatial Resolution:  1/480 decimal degrees (~250 m). https://doi.org/10.1371/journal.pone.0169748. We developed a globally consistent gridded dataset defining HSGs to fill this gap. Hydrologic soil groups (HSGs) are a fundamental component of the USDA curve number (CN) method for estimation of rainfall runoff; yet these data are not readily available in a format or spatial resolution suitable for regional to global scale modeling applications. Study Area: (All latitude and longitude given in decimal degrees.). Toggle Archive And Distribution Information, https://daac.ornl.gov/daacdata/global_soil/Global_Hydrologic_Soil_Group/, https://daac.ornl.gov/SOILS/guides/Global_Hydrologic_Soil_Group.html, https://daac.ornl.gov/daacdata/global_soil/Global_Hydrologic_Soil_Group/comp/Global_Hydrologic_Soil_Group.pdf, https://daac.ornl.gov/daacdata/global_soil/Global_Hydrologic_Soil_Group/comp/HYSOGs250m_SciDat.R, Search Hanan. Anchang, S.S. Kumar, W. Ji, and N.P. Soil texture and bedrock depth predictions were obtained from the FAO soilGrids250m system. Global Hydrologic Soil Groups (HYSOGs250m) for Curve Number-Based Runoff Modeling This dataset - HYSOGs250m - represents a globally consistent, gridded dataset of hydrologic soil groups (HSGs) with a geographical resolution of 1/480 decimal degrees, corresponding to a projected resolution of approximately 250-m. ORNL DAAC, Oak Ridge, Tennessee, USA. Cover type and hydrologic condition. Ross, C.W., L. Prihodko, J. Anchang, S. Kumar, W. Ji, and N.P. Runoff Curve Numbers Top of Page The following table of runoff curve numbers (CN) has been condensed from Tables 2-2(a-d) of SCS (1986), which is an exhaustive listing of runoff curve numbers. References, such as from USDA indicate the runoff curve numbers for characteristic land cover descriptions and a hydrologic soil group. 0. 1Soil texture classes that typically comprise hydrologic soil groups (HSGs) (USDA, 2009). The NEH Hydrologic Soil Groups Classification System: Within the 1985 NEH, soils are assigned to four hydrologic groups and three dual groups. Hijmans, R. J. et al. Hydrologic soil groups A, B, C, and D correspond to low, moderately low, moderately high, and high runoff potential, respectively. Column Resolution: 0.002083333 degree This allowed us to infer the water transmissivity of each layer in the profile from the stacked texture classes. 2-2a Runoff curve numbers for urban areas .... 2-5 2-2b Runoff curve numbers for cultivated agricultural lands ..... 2-6 2-2c Runoff curve numbers for other agricultural lands ..... 2-7 2-2d Runoff curve numbers for arid and semi-arid rangelands ..... 2-8 There is one data file of global hydrologic soil groups (HSGs) at 250-m resolution in GeoTIFF format provided with this dataset. Global Hydrologic Soil Groups (HYSOGs250m) for Curve Number-Based Runoff Modeling. West: -180 Group Description A • Contains soils having a high infiltration rate when thoroughly wet and therefore have a low runoff potential. Classification of HSGs was derived from soil texture classes and depth to bedrock provided by the Food and Agriculture Organization soilGrids250m system. Hydrologic Soil Groups based on texture ..... 15 4. Runoff curve numbers are used to estimate direct runoff from rainfall (NEH630.10). The R script used to generate the dataset is included as a companion file. USDA. yll corner: -56 This dataset - HYSOGs250m - represents a globally consistent, gridded dataset of hydrologic soil groups (HSGs) with a geographical resolution of 1/480 decimal degrees, corresponding to a projected resolution of approximately 250-m. (2018). Scientific Data 5, 180091. https://doi.org/10.1038/sdata.2018.91. Chapter 7 Hydrologic Soil Groups 630.0700 Introduction This chapter defines four hydrologic soil groups, or HSGs, that, along with land use, management prac-tices, and hydrologic conditions, determine a soil's associated runoff curve number (NEH630.09). Instructions on how to access the Food and Agriculture Organization (FAO) soilGrids250m meta-data, texture classes, and depth to bedrock are described in Hengl et al. Wet soils are assigned a dual HSG (e.g., HSG A/D) and have high runoff potential due to the presence of a water table within 60 cm of the surface. There are several approaches to estimate the runoff. The HSG classification was performed in R. The script (HYSOGs250m_SciDat.R) is included as a companion file. , Global distribution of hydrologic soil groups at 250-m spatial resolution. “Global Patterns of Groundwater Table Depth.” Science (New York, N.Y.) 339 (February 22, 2013): 940–43. The four standard classes—A, B, C, and D—correspond to soils with low, moderately low, moderately high, and high runoff potential, respectively. (2016). To file a complaint of discrimination write to USDA, Director, Office of Civil Rights, 1400 Independence Avenue, S.W., Washington, D.C. 20250-9410 or call (800) 795-3272 (voice) or (202) 720-6382 (TDD). The soilGrids were stacked into a multi band raster (textStack) using the raster::stack function. Hydrologic soil groups A, B, C, and D correspond to low, moderately low, moderately high, and high runoff potential, respectively. For completeness, the data were given a date range of 1900 to 2015. Hanan. PLOS ONE 12, e0169748 (2017). , This link allows direct data access via Earthdata login, Ross, C.W., L. Prihodko, J.Y. (2017). Group A hydrologic soils have a saturated hydraulic conductivity (Ksat) in excess of 40.0 μm/sec, with a depth to restrictive layer of at least 50 cm and a depth to water of at least 60 cm. Oak Ridge, Curve Number, GIS, Hydrologic Soil Group, Antecedent Moisture Condition. Recommended. A less restrictive group can be assigned if these soils are drained (e.g., HSG-A). Hydrologic soil groups are used to assign a Curve Number (CN) when performing runoff cal-culations or in hydrologic models. The subcatchment entry screen in HydroCAD includes a "Lookup" button that lets you browse a table of CN values that is based on the TR-55 reference table. South: -56 Wet soils are assigned a dual HSG (e.g., HSG A/D) and have high runoff potential due to the presence of a water table within 60 cm of the surface. https://doi.org/10.3334/ORNLDAAC/1566. RE: Runoff Curve Number (RCN) for hydrologic soil group A/D gibfrog (Civil/Environmental) 5 Jun 06 08:52 IMHO, you need to use the CN that the government stormwater reviewer will … The curve number, CN, is an empirical value, which establishes a relationship between rainfall and runoff based upon characteristics of the drainage area. raster: Geographic Data Analysis and Modeling. , Web Coverage Service for this collection. Integers 11, 12, 13, and 14 were used to denote dual HSGs A/D, B/D, C/D, and D/D in the dataset. This dataset - HYSOGs250m - represents a globally consistent, gridded dataset of hydrologic soil groups (HSGs) with a geographical resolution of 1/480 decimal degrees, corresponding to a projected resolution of approximately 250-m. “Hydrologic Soil Groups.” In National Engineering Handbook: Part 630 - Hydrology, 2009. https://www.nrcs.usda.gov/wps/portal/nrcs/detailfull/national/water/manage/hydrology/?cid=stelprdb1043063. Global Hydrologic Soil Groups (HYSOGs250m) for Curve Number-Based Runoff Modeling. Classification of HSGs was derived from soil texture classes and depth to bedrock provided by the Food and Agriculture Organization soilGrids250m system. This collection does not have any associated services at this time. Access to the groundwater table depth16 and associated meta-data are available from Deltares (https://www.deltares.nl/en/projects/glowasis-providing-access-water-scarcity-data/). Pixel Type: byte Runoff Curve Numbers for agricultural lands1 Cover description CN for Hydrologic Soil Group Land Use or Cover type Land Treatment2 Hydrologic condition3 A B C D Fallow Bare Soil Crop residue cover (CR) ----- 70 81 88 91 Poor 69 80 87 86 Good 67 77 84 85 Row crops Straight row (SR) Poor 64 75 84 88 Good 59 69 80 85 SR + CR HSG-B has moderately low runoff potential (typically contains between 10 to 20% clay and 50 to 90% sand), HSG-C has moderately high runoff potential (typically contains between 20 to 40% clay and less than 50% sand), and. for granules from this collection, https://daac.ornl.gov/SOILS/guides/Global_Hydrologic_Soil_Group_Fig1.png, https://webmap.ornl.gov/wcsdown/dataset.jsp?ds_id=1566. 37831-6407. A brief description of the technical validation of the texture classes and depth to bedrock predictions are discussed in Ross et al. Note that integers 1, 2, 3, and 4 were used to represent HSGs A, B, C, and D, respectively. Hydrologic soil groups (HSGs) are a fundamental component of the USDA curve-number (CN) method for estimation of rainfall runoff; yet these data are not readily available in a format or spatial-resolution suitable for regional- and global-scale modeling applications. Hengl, T. et al. 1. Documentation Revision Date: a fundamental component of the USDA curve number (CN) method for estimation of rainfall runoff; HSGs were derived from texture classes as reported in Table 1 and described in the U.S. Department of Agriculture-Natural Resources Conservation Service (USDA-NRCS) National Engineering Handbook (USDA, 2009). Hydrologic soil group based curve number 17 matrix modeling for Enset-Based land use system in Meki River Watershed, Western Lake Ziway Sub-Basin, Central Rift Valley of The raster::max function was then used to determine the largest value of each grid cell in the raster stack, allowing us to infer the most restrictive layer in the pedon. The hydrologic soil group refers to the infiltration potential of the soil after prolonged wetting. 2018. This collection does not have any associated tools at this time. Required Inputs: 1. The curve number is based on the area's hydrologic soil group, land use, treatment and … Archive Center Classification scheme used to develop hydrologic soil groups (HSGs). B • Has moderate infiltration a low runoff potential. A composite curve number for a basin can be computed by taking an area-weighted average of the different curve numbers for the different regions (soil type and land use combinations) within a basin. These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active 2018. Hydrologic soil groups A, B, C, and D correspond to low, moderately low, moderately high, and high runoff potential, respectively. North: 83.9997222222222 Runoff Curve Numbers for Hydrologic Soil Cover Complexes, ARC II, and I a/S=0.2 ..... 14 3. Global curve numbers … Our analysis indicated that medium to high runoff potential currently dominates the globe, with curve numbers ranging between 75 and 85. Each grid cell in the raster stack (or pedon) was re-classified into one of four HSGs (hsgStack) according to USDA specifications. The curve number is based on the hydrologic soil group and ground cover. Table 1. HYSOGs250m, global gridded hydrologic soil groups for curve-number-based runoff modeling. Soil texture to 1 m depth was represented with FAO soilGrids250m texture classes at six depths: 0, 5, 15, 30, 60, and 100 cm. Box 2008, MS 6407, Oak Ridge National Laboratory However, end-users are referred to the respective publications for a detailed description of modeling and uncertainty assessments of the soilGrids and groundwater table data. Native, Fees: Thus, the four curve number values of each soil-land use complex were related to the four representative Ks values of each hydrologic soil group (table 4). Hydrologic Soil Group; Source: Soil Conservation Service TR-55; Residential: A: B: C: D: Average Lot Size: 1/8 acre or less: 77: 85: 90: 92: 1/4 acre: 61: 75: 83: 87: 1/3 acre: 57: 72: 81: 86: 1/2 acre: 54: 70: 80: 85: 1 acre: 51: 68: 79: 84: 2 acre: 46: 65: 77: 82: Paved parking, roofs: 98: 98: 98: 98: Streets and Roads: Paved with curbs: 98: 98: 98: 98: Gravel: 76: 85: 89: 91: Dirt: 72: 82: 87: 89: Commercial and … Global distribution of hydrologic soil groups at 250-m spatial resolution. Offset: none, Number Columns: 172,800 The resulting data product—HYSOGs250m—represents rainfall runoff potential at 250-m spatial resolution. Ross, C.W., L. Prihodko, J.Y. Global Hydrologic Soil Groups (HYSOGs250m) for Curve Number-Based Runoff Modeling. NRCS Curve Number Guidance National Engineering Handbook, Part 630 Hydrology Chapter 10 – Estimation of Direct Runoff from Storm Rainfall (July 2004) Chapter 9 – Hydrologic Soil-Cover Complexes (July 2004) Chapter 7 – Hydrologic Soil Groups (January 2009) Row Resolution: 0.002083333 degree, Extent in the items coordinate system Hydrologic soil groups (HSGs) are a fundamental component of the USDA curve-number (CN) method for estimation of rainfall runoff; yet these data are not readily available in a format or spatial-resolution suitable for regional-and global-scale