Allocation assessment TN load corrections by bay segment and entity

Usage

aa_corrections

Format

A data.frame with 43 rows and 4 columns:

bay_seg: Integer bay segment identifier
entity: MS4 jurisdiction or entity name
ad_tons: Atmospheric deposition TN offset (tons/yr)
project_tons: Net permitted project TN offset (tons/yr); negative values indicate a load credit

Details

TN load offsets applied before hydrologic normalization in anlz_aa for the 2022-2024 TBNMC assessment period. Values are sourced from the SAS script 7_Basin_assessment2224.sas and cover two correction types: atmospheric deposition (AD) loads apportioned to each entity jurisdiction, and net permitted project (AP) load credits. FDACS agriculture entries (entity = "All") carry irrigation AP reductions only (ad_tons = 0). Negative project_tons values reflect project credits that increase the allowable load.

Updating these numbers to account for additional changes in atomospheric deposition concentrations (i.e., large changes that have occurred at Bayside and Apollo Beach power plants) and the many projects completed since the late 2000s should be done for future package updates. Numbers herein have been used to date for the allocation assessment tables. They likely do not represent current conditions.

See data-raw/aa_corrections.R for construction.

Examples

aa_corrections
#> # A tibble: 42 × 4
#>    bay_seg entity        ad_tons project_tons
#>      <int> <chr>           <dbl>        <dbl>
#>  1       1 CLEARWATER       1.36         6.15
#>  2       1 HILLSBOROUGH     8.8          0   
#>  3       1 LARGO            0.51         0.03
#>  4       1 MacDill AFB      0.03         0   
#>  5       1 OLDSMAR          0.5          0   
#>  6       1 PINELLAS         5.34         1.65
#>  7       1 PINELLAS PARK    0.41         0   
#>  8       1 SAFETY HARBOR    0.5          0.88
#>  9       1 ST PETERSBURG    0.45         0   
#> 10       1 Tampa            1.96         0.11
#> # ℹ 32 more rows