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echor downloads wastewater discharge and air emission data for EPA permitted facilities using the EPA ECHO API.
echor is on CRAN:
install.packages("echor")
Or install the development version:
install.packages('echor', repos = 'https://mps9506.r-universe.dev')
We can look up plants by permit id, bounding box, and numerous other parameters. I plan on providing documentation of available parameters. However, arguments can be looked up here: get_cwa_rest_services_get_facility_info
library(echor)
## echoWaterGetFacilityInfo() will return a dataframe or simple features (sf) dataframe.
df <- echoWaterGetFacilityInfo(output = "df",
p_c1lon = '-96.387509',
p_c1lat = '30.583572',
p_c2lon = '-96.281422',
p_c2lat = '30.640008',
p_ptype = "NPD")
head(df)
#> # A tibble: 4 x 26
#> CWPName SourceID CWPStreet CWPCity CWPState CWPStateDistrict CWPZip
#>
#> 1 CARTERS CREEK WWTP TX00471... 2200 NOR... COLLEG... TX 09 77845
#> 2 CENTRAL UTILITY P... TX00027... 1584 TAMU COLLEG... TX 09 77843
#> 3 HEAT TRANSFER RES... TX01065... 0.25MI S... COLLEG... TX 09 77845
#> 4 TURKEY CREEK WWTP TX00624... 3000FT W... BRYAN TX 09 77807
#> # i 19 more variables: MasterExternalPermitNmbr , RegistryID ,
#> # EPASystem , Statute , FacStdCountyName ,
#> # CWPNAICSCodes , FacLat , FacLong ,
#> # CWPTotalDesignFlowNmbr , AIRIDs , CensusBlockGroup ,
#> # MileavgOver90CountSt , MileOver90CountSt ,
#> # SupOver80CountUsSearch , SupMileavgOver80CountUs ,
#> # SupMileOver80CountUs , SupMileOver80CountUsSearch , ...
The ECHO database can provide over 270 different columns. echor returns
a subset of these columns that should work for most users. However, you
can specify what data you want returned. Use echoWaterGetMeta() to
return a dataframe with column numbers, names, and descriptions to
identify the columns you want returned. Then include the column numbers
as a comma separated string in the qcolumns argument. In the example
below, the qcolumns argument indicates the dataframe will include
plant name, 8-digit HUC, latitude, longitude, and total design flow.
df <- echoWaterGetFacilityInfo(output = "df",
p_c1lon = '-96.387509',
p_c1lat = '30.583572',
p_c2lon = '-96.281422',
p_c2lat = '30.640008',
qcolumns = '1,14,23,24,25',
p_ptype = "NPD")
head(df)
#> # A tibble: 4 x 6
#> CWPName SourceID FacStdCountyName CWPNAICSCodes FacLat FacLong
#>
#> 1 CARTERS CREEK WWTP TX0047163 BRAZOS COUNTY 30.6 -96.3
#> 2 CENTRAL UTILITY PLANT TX0002747 BRAZOS COUNTY 30.6 -96.3
#> 3 HEAT TRANSFER RESEARCH TX0106526 BRAZOS COUNTY 30.6 -96.4
#> 4 TURKEY CREEK WWTP TX0062472 BRAZOS COUNTY 30.6 -96.4
When returned as sf dataframes, the data is suitable for immediate spatial plotting or analysis.
library(ggspatial)
library(sf)
library(ggrepel)
library(prettymapr)
df <- echoWaterGetFacilityInfo(output = "sf",
p_c1lon = '-96.387509',
p_c1lat = '30.583572',
p_c2lon = '-96.281422',
p_c2lat = '30.640008',
p_ptype = "NPD")
ggplot(df) +
annotation_map_tile(zoomin = -1, progress = "none") +
geom_sf(inherit.aes = FALSE, shape = 21,
color = "darkred", fill = "darkred",
size = 2, alpha = 0.25) +
geom_label_repel(data = df, aes(label = SourceID,
geometry = geometry),
stat = "sf_coordinates",
point.padding = .5, min.segment.length = 0.1,
size = 2, color = "dodgerblue") +
theme_mps_noto() +
labs(x = "Longitude", y = "Latitude",
title = "NPDES permits near Texas A&M",
caption = "Source: EPA ECHO database")
Use echoGetEffluent() or echoGetCAAPR() to download tidy dataframes
of permitted water discharger Discharge Monitoring Report (DMR) or
permitted emitters Clean Air Act annual emissions reports. Please note
that all variables are returned as character vectors.
df <- echoGetEffluent(p_id = 'tx0119407', parameter_code = '00300')
df <- df %>%
mutate(dmr_value_nmbr = as.numeric(dmr_value_nmbr),
monitoring_period_end_date = as.Date(monitoring_period_end_date,
"%m/%d/%Y")) %>%
filter(!is.na(dmr_value_nmbr) & limit_value_type_code == "C1")
ggplot(df) +
geom_line(aes(monitoring_period_end_date, dmr_value_nmbr)) +
theme_mps_noto() +
labs(x = "Monitoring period date",
y = "Dissolved oxygen concentration (mg/l)",
title = "Reported minimum dissolved oxygen concentration",
subtitle = "NPDES ID = TX119407",
caption = "Source: EPA ECHO")
sessioninfo::platform_info()
#> setting value
#> version R version 4.4.0 (2024-04-24)
#> os Ubuntu 22.04.4 LTS
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#> date 2024-05-15
#> pandoc 3.1.11 @ /opt/hostedtoolcache/pandoc/3.1.11/x64/ (via rmarkdown)
sessioninfo::package_info()
#> ! package * version date (UTC) lib source
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#>
#> [1] /home/runner/.cache/R/renv/library/echor-4ec080d0/linux-ubuntu-jammy/R-4.4/x86_64-pc-linux-gnu
#> [2] /home/runner/.cache/R/renv/sandbox/linux-ubuntu-jammy/R-4.4/x86_64-pc-linux-gnu/3df92652
#>
#> P -- Loaded and on-disk path mismatch.
Download EPA ECHO data in R