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Example water quality dataset (subset of real data)

Source: R/data_wq_demo.R, R/wq_buranhem.R
wq_demo.Rd

A small subset of real monitoring data used in examples and vignettes. Now includes extra columns rio, lat, lon.

This dataset contains real water quality measurements collected by INEMA (Instituto do Meio Ambiente e Recursos Hidricos, Bahia) during monitoring campaigns conducted between 2021 and 2024 in the Rio Buranhem watershed, municipality of Porto Seguro, Bahia, Brazil. The dataset was incorporated into the package for demonstration, reproducibility and methodological illustration, following the analytical workflow implemented in tikatuwq. Parameters include sampling dates, site identifiers and multiple physicochemical variables measured during field campaigns.

Usage

data(wq_demo)

data(wq_demo)

Format

A tibble/data.frame with 20 rows and 14 columns:

rio

character, river name

ponto

character, monitoring point id

data

Date, sampling date

ph

numeric, pH

od

numeric, dissolved oxygen (mg/L)

turbidez

numeric, NTU

dbo

numeric, mg/L

coliformes

numeric, MPN/100 mL

p_total

numeric, total phosphorus (mg/L)

nt_total

numeric, total nitrogen (mg/L)

temperatura

numeric, degrees Celsius

tds

numeric, total dissolved solids (mg/L)

lat

numeric, latitude

lon

numeric, longitude

A tibble/data.frame. See wq_demo documentation for column details.

Source

Subset of dataset-real.csv (BURANHEM river, 4 sites, years 2020–2024).

Details

The dataset is a real subset selected from BURANHEM river (dataset-real.csv), used for reproducible examples and vignettes. Covers 4 monitoring points and years 2020–2024. All core columns for IQA/CONAMA/plotting helpers are present.

See also

iqa(), conama_check(), plot_series(), plot_box(), plot_iqa(), plot_heatmap()

wq_demo

Examples

data("wq_demo", package = "tikatuwq")
head(wq_demo)
#> # A tibble: 6 × 14
#>   rio    ponto data          ph    od turbidez   dbo coliformes p_total nt_total
#>   <chr>  <chr> <date>     <dbl> <dbl>    <dbl> <dbl>      <dbl>   <dbl>    <dbl>
#> 1 BURAN… FBS-… 2020-03-03  6.52  6.03     63.5     3        7.9    0.02      1  
#> 2 BURAN… FBS-… 2022-03-10  6.97  6.52     18.3     3        9.2    0.04      1  
#> 3 BURAN… FBS-… 2023-05-24  8.19  6.13      9       4        7.9    0.02      1  
#> 4 BURAN… FBS-… 2024-02-20  7.55  5.96    112       3        1.7    0.08      1.9
#> 5 BURAN… FBS-… 2024-09-04  7.8   7.58      5.8     3        2.3    0.02      1  
#> 6 BURAN… FBS-… 2020-03-04  6.39  6.7      11.4     7        1.3    0.03      1  
#> # ℹ 4 more variables: temperatura <dbl>, tds <dbl>, lat <dbl>, lon <dbl>
# quick IQA example:
# iqa(wq_demo, na_rm = TRUE)