A validation workflow for Treatment Wetland Performance data
Created on 6/5/2025
Proposes workflow using statistical methods (Z-score, LOF, Isolation Forest) to validate Treatment Wetland (TW) performance data (detect outliers/errors). Applied to 17 French TW datasets. Aims to ensure data quality.
INRAE (REVERSAAL), ICRA-CERCA, University of Girona.
English
Water
0
-
CC BY 4.0.
Open Access
MAP_AND_TABULAR
14/4/2024
6/5/2025
5/2025 - 5/2025
15
Geographical coverage
Keywords
Data validation workflowoutlier detectiontreatment wetlandswater quality data.
Variables included : 10
| Name | Unit |
|---|---|
| Water quality params (BOD₅ | Conc (mg/L) |
| COD | Flow (m³/d) |
| TSS | Scores (-). |
| N | |
| P) | |
| Flow rate | |
| Statistical metrics (Z-score | |
| LOF score) | |
| Outliers | |
| Missing values. |