Watersheds

This sf dataset contains watershed polygons used to group rice fields and organize flow patterns. Based on HUC10 watersheds, but split in some cases where necessary.

ff_watersheds

Format

An object of class sf (inherits from tbl_df, tbl, data.frame) with 47 rows and 8 columns.

Source

Developed by Bethany Hackenjos, FlowWest, 2023, based on USGS NHD/Watershed Boundary Dataset.

Details

  • group_id = the unique identifier of the watershed group, which is based on the HUC10

  • return_id = the corresponding unique identifier of the return point, used to join to the returns dataset. For watersheds with a return_id of zero, fields are assumed to flow laterally into the nearest major stream rather than via the return point.

  • huc10 = the original HUC10 identifier from the NHD dataset

  • watershed_name = the original HUC10 common name from the NHD dataset

  • area_ac_within = total area of rice field polygons contained in this watershed, calculated in acres

  • volume_af_within = total inundated volume of rice fields contained in this watershed, assuming 5 inches of water

Examples

head(ff_watersheds)
#> Simple feature collection with 6 features and 7 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: 6581829 ymin: 2063749 xmax: 6830935 ymax: 2352419
#> Projected CRS: NAD83(2011) / California zone 2 (ftUS)
#> # A tibble: 6 × 8
#>   group_id     huc10      watershed_name     return_id                  geometry
#>   <chr>        <chr>      <chr>                  <int> <POLYGON [US_survey_foot>
#> 1 1802015901   1802015901 Honcut Creek               0 ((6723475 2313975, 67235…
#> 2 1802015902   1802015902 Upper Feather Riv…        14 ((6693728 2351561, 66937…
#> 3 1802015903   1802015903 Hutchinson Creek-…        51 ((6753204 2200420, 67534…
#> 4 1802015904-N 1802015904 Gilsizer Slough-S…        58 ((6668665 2188306, 66550…
#> 5 1802015905   1802015905 Lower Feather Riv…         0 ((6676057 2172657, 66749…
#> 6 1802016101   1802016101 Auburn Ravine             55 ((6818743 2102685, 68189…
#> # ℹ 3 more variables: return_category <chr>, area_ac <dbl>, volume_af <dbl>

plot(ff_watersheds$geometry)