Official Series Description


Lab Data Summary

Aggregate lab data for the DELHI soil series. This aggregation is based on all pedons with a current taxon name of DELHI, and applied along 1-cm thick depth slices. Solid lines are the slice-wise median, bounded on either side by the interval defined by the slice-wise 5th and 95th percentiles. The median is the value that splits the data in half. Five percent of the data are less than the 5th percentile, and five percent of the data are greater than the 95th percentile. Values along the right hand side y-axis describe the proportion of pedon data that contribute to aggregate values at this depth. For example, a value of "90%" at 25cm means that 90% of the pedons correlated to DELHI were used in the calculation. Source: KSSL snapshot . Methods used to assemble the KSSL snapshot used by SoilWeb / SDE

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Pedons used in the lab summary:

MLRALab IDPedon IDTaxonnameCINSSL / NASIS ReportsLink To SoilWeb GMap
1779P018479CA047000Delhi6Primary | Supplementary | Taxonomy | Pedon | Water Retention | Correlation | Andic Soil Properties37.4043694,-120.7390594

Water Balance

Monthly water balance estimated using a leaky-bucket style model for the DELHI soil series. Monthly precipitation (PPT) and potential evapotranspiration (PET) have been estimated from the 50th percentile of gridded values (PRISM 1981-2010) overlapping with the extent of SSURGO map units containing each series as a major component. Monthly PET values were estimated using the method of Thornthwaite (1948). These (and other) climatic parameters are calculated with each SSURGO refresh and provided by the fetchOSD function of the soilDB package. Representative water storage values (“AWC” in the figures) were derived from SSURGO by taking the 50th percentile of profile-total water storage (sum[awc_r * horizon thickness]) for each soil series. Note that this representation of “water storage” is based on the average ability of most plants to extract soil water between 15 bar (“permanent wilting point”) and 1/3 bar (“field capacity”) matric potential. Soil moisture state can be roughly interpreted as “dry” when storage is depleted, “moist” when storage is between 0mm and AWC, and “wet” when there is a surplus. Clearly there are a lot of assumptions baked into this kind of monthly water balance. This is still a work in progress.

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Sibling Summary

Siblings are those soil series that occur together in map units, in this case with the DELHI series. Sketches are arranged according to their subgroup-level taxonomic structure. Source: SSURGO snapshot , parsed OSD records and snapshot of SC database .

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Select annual climate data summaries for the DELHI series and siblings. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

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Geomorphic description summaries for the DELHI series and siblings. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. Proportions can be interpreted as an aggregate representation of geomorphic membership. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Small Shannon entropy values suggest relatively consistent geomorphic association, while larger values suggest lack thereof. Source: SSURGO component records .

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Competing Series

Soil series competing with DELHI share the same family level classification in Soil Taxonomy. Source: parsed OSD records and snapshot of the SC database .

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Select annual climate data summaries for the DELHI series and competing. Series are sorted according to hierarchical clustering of median values. Source: SSURGO map unit geometry and 1981-2010, 800m PRISM data .

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Geomorphic description summaries for the DELHI series and competing. Series are sorted according to hierarchical clustering of proportions and relative hydrologic position within an idealized landform (e.g. top to bottom). Proportions can be interpreted as an aggregate representation of geomorphic membership. Most soil series (SSURGO components) are associated with a hillslope position and one or more landform-specific positions: hills, mountain slopes, terraces, and/or flats. The values printed to the left (number of component records) and right (Shannon entropy) of stacked bars can be used to judge the reliability of trends. Shannon entropy values close to 0 represent soil series with relatively consistent geomorphic association, while values close to 1 suggest lack thereof. Source: SSURGO component records .

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Soil series sharing subgroup-level classification with DELHI, arranged according to family differentiae. Hovering over a series name will print full classification and a small sketch from the OSD. Source: snapshot of SC database .

Block Diagrams

No block diagrams are available.

Map Units

Map units containing DELHI as a major component. Limited to 250 records.

Map Unit Name Symbol Map Unit Area (ac) Map Unit Key National Map Unit Symbol Soil Survey Area Publication Date Map Scale
Delhi sand, 2 to 9 percent slopesDaC8510455786h98sca01319731:24000
Delhi loamy sand, 0 to 2 percent slopes, MLRA 171422045027661122ss9gca07719901:24000
Delhi-Urban land complex, 0 to 2 percent slopes1433675462035hhscca07719901:24000
Delhi fine sand, 0 to 5 percent slopes1411685462033hhs9ca07719901:24000
Delhi loamy sand, 0 to 2 percent slopes, MLRA 1714220827661112ss9gca63220061:24000
Delhi loamy sand, 0 to 3 percent slopes, MLRA 17DeA483627661142ss8rca64419591:24000
Delhi loamy sand, silty substratum, 0 to 3 percent slopesDgA1665462560hjb9ca64419591:24000
Delhi sand, 0 to 3 percent slopes, MLRA 17DhA89527661072ss8nca64419591:24000
Delhi sand, 3 to 8 percent slopes, MLRA 17DhB62627661042ss9xca64419591:24000
Delhi loamy sand, moderately deep over clay, 0 to 3 percent slopesDfA346462559hjb8ca64419591:24000
Delhi loamy sand, 3 to 8 percent slopesDeB323462558hjb7ca64419591:24000
Delhi sand, 0 to 3 percent slopes, MLRA 17DfA3034427661082ss8nca64819591:20000
Delhi loamy sand, 0 to 3 percent slopes, MLRA 17DdA538627661152ss8rca64819591:20000
Delhi sand, 3 to 8 percent slopes, MLRA 17DfB495227661052ss9xca64819591:20000
Delhi loamy sand, silty substratum, 0 to 3 percent slopesDeA3925463000hjshca64819591:20000
Delhi sand, silty substratum, 0 to 3 percent slopesDgA3813463004hjsmca64819591:20000
Delhi loamy fine sand, silty substratum, 0 to 3 percent slopesDcA3676462997hjsdca64819591:20000
Delhi loamy fine sand, 0 to 3 percent slopesDbA1292462995hjsbca64819591:20000
Delhi loamy sand, 3 to 8 percent slopesDdB870462999hjsgca64819591:20000
Delhi sand, 8 to 15 percent slopesDfC390463003hjslca64819591:20000
Delhi sand, silty substratum, 3 to 8 percent slopesDgB174463005hjsnca64819591:20000
Delhi loamy fine sand, 3 to 8 percent slopesDbB128462996hjscca64819591:20000
Delhi sand, 0 to 3 percent slopes, MLRA 17DeA688329585430r8kca65119591:20000
Delhi sand, moderately deep and deep over hardpan, 0 to 3 percent slopesDfA633463387hk5zca65119591:20000
Delhi sand, 3 to 8 percent slopes, MLRA 17DeB427329585530r8lca65119591:20000
Delhi loamy sand, 0 to 3 percent slopes, MLRA 17DhA3884427661162ss8rca65419661:24000
Delhi loamy sand, 3 to 9 percent slopesDhB7409464271hl3hca65419661:24000
Delhi loamy sand, moderately deep, 0 to 3 percent slopesDlA2967464272hl3jca65419661:24000
Delhi sand, 3 to 9 percent slopesDeB2861464269hl3fca65419661:24000
Delhi sand, 0 to 3 percent slopes, MLRA 17DeA275227661102ss8nca65419661:24000
Delhi loamy sand, 0 to 2 percent slopes, MLRA 17110280727661132ss9gca65919991:24000
Delhi fine sandDb20440457954hcjqca67719721:24000
Delhi fine sand, 2 to 15 percent slopes, wind-erodedDaD23686458208hcsxca67919671:15840
Delhi loamy fine sand, 0 to 2 percent slopesDbA1790458209hcsyca67919671:15840
Delhi fine sandDb653729126sgq6ca67919671:15840

Map of Series Extent

Approximate geographic distribution of the DELHI soil series. To learn more about how this distribution was mapped, or to compare this soil series extent to others, use the Series Extent Explorer (SEE) application. Source: generalization of SSURGO geometry .