Check units for point source from raw entity data

Usage

util_ps_checkuni(dat)

Arguments

dat: data frame from raw entity data as data.frame

Value

Input data frame from pth with relevant data and columns renamed, otherwise an error is returned if units are not correct. Only year, month, outfall, flow, TN, TP, TSS, and BOD are returned.

Details

Input data should include flow as million gallons per day, and concentration as mg/L.

Examples

pth <- system.file('extdata/ps_dom_hillsco_falkenburg_2019.txt', package = 'tbeploads')
dat <- read.table(pth, skip = 0, sep = '\t', header = TRUE)
util_ps_checkuni(dat)
#>    Year Month outfall flow_mgd   tn_mgl    tp_mgl   tss_mgl   bod_mgl
#> 1  2019     1   D-001 5.296512 1.756881 0.2001634 0.4167875 0.8280425
#> 2  2019     2   D-001 2.696663 2.120932 0.2656919 0.5553969 1.5441635
#> 3  2019     3   D-001 5.689358 2.158781 0.2425811 0.3740764 1.3241451
#> 4  2019     4   D-001 4.749738 2.054544 0.3550630 0.3821190 1.2910567
#> 5  2019     5   D-001 4.396303 2.105568 0.2370389 0.3274173 1.3266714
#> 6  2019     6   D-001 5.838083 1.931209 0.2070870 0.5313604 1.3973229
#> 7  2019     7   D-001 5.194401 2.164595 0.3276313 0.3039208 1.1665574
#> 8  2019     8   D-001 3.346228 2.259220 0.2472752 0.2890792 1.2809236
#> 9  2019     9   D-001 4.748794 1.974068 0.1277325 0.6515675 1.1685260
#> 10 2019    10   D-001 6.461638 1.708387 0.1556450 0.2632500 1.3609233
#> 11 2019    11   D-001 4.240126 1.692041 0.2045273 0.3768561 1.0848231
#> 12 2019    12   D-001 4.010090 2.204548 0.1839178 0.4708175 1.6361168
#> 13 2019     1   R-001 3.698012 2.310801 0.2337734 0.3704153 1.6188011
#> 14 2019     2   R-001 3.180484 1.840923 0.2520314 0.1775579 1.8374191
#> 15 2019     3   R-001 2.761142 2.143444 0.1868349 0.3195870 1.6904981
#> 16 2019     4   R-001 5.189126 2.118240 0.2528620 0.5491718 1.4536160
#> 17 2019     5   R-001 4.454835 1.455411 0.2666154 0.3321027 1.7107790
#> 18 2019     6   R-001 6.892169 2.038263 0.3230197 0.3735168 1.2470248
#> 19 2019     7   R-001 4.239362 1.645825 0.2404983 0.3679821 1.0699091
#> 20 2019     8   R-001 6.473536 2.181010 0.2483830 0.3191815 1.2001535
#> 21 2019     9   R-001 4.167933 2.063323 0.1998192 0.3823141 1.7882855
#> 22 2019    10   R-001 3.516200 1.992785 0.2163667 0.4136695 1.2712782
#> 23 2019    11   R-001 5.407001 2.210327 0.2491462 0.3610934 1.4497958
#> 24 2019    12   R-001 5.236846 1.895703 0.1697065 0.4747824 1.8571717