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# Datasets Documentation
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**Project:** Physics-Informed KARST-Aware GNN for Streamflow Prediction
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**Study Area:** La Risle and La Eure River Systems, Seine Basin, France
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**Period:** 1960-2026 (historical data)
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## Directory Structure
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```
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datasets/
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├── station_list.csv # 27 stations metadata (coordinates, names)
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├── selected_stations.csv # 27 selected station codes
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├── IDPR_values.csv # BRGM infiltration/runoff index (27 stations)
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├── ADES/ # Groundwater data (KARST connectivity)
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│ ├── groundwater_stations.csv # 114 groundwater monitoring wells
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│ ├── groundwater_levels_watershed.csv# 272,379 groundwater level measurements
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│ ├── stations_metadata.csv # 10,001 stations (full ADES database)
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│ └── ADES_data_fetching.py # Data collection script
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├── Watersehd_risle/ # La Risle watershed boundary
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│ └── Watershed_Risle.shp # Shapefile (EPSG:2154)
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├── Watershed_Eure/ # La Eure watershed boundary
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│ └── Watershed_Eure.shp # Shapefile (EPSG:2154)
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├── Risle_Eure_watershed/ # Merged watershed boundary
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│ └── Risle_Eure_Watershed.shp # Combined shapefile (EPSG:2154)
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└── River Images/ # Reference maps
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├── Carte-de-la_Seine-390x305.png
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├── Eure_(rivière).png
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└── Risle.png
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```
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## Available Data
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### 1. Hydrometric Stations (`station_list.csv`)
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**File:** `station_list.csv`
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**Rows:** 27 stations
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**Columns:**
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- `X`, `Y` - Lambert 93 coordinates (EPSG:2154)
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- `station_code` - Unique station identifier (e.g., H602021010)
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- `region_name` - NORMANDIE
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- `departament_name` - ORNE or EURE
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- `station_name` - Full station name
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- `municipality` - Municipality name
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- `INSEE` - INSEE code
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- `id_root` - Root identifier
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- `lon`, `lat` - WGS84 coordinates
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- `lon-lat-ID` - Combined identifier
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**Basin Distribution:**
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- **La Risle:** 12 stations (e.g., La Risle à Rai, La Risle à Brionne, etc.)
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- **La Eure:** 13 stations (e.g., L'Eure à Chartres, L'Eure à Louviers, etc.)
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- **Tributary:** 1 station (Le bras de l'Eure à Lormaye)
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**Sample Stations:**
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```
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H602021010 - La Risle à Rai (48.749°N, 0.582°E)
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H605641401 - La Risle à Barquet (49.034°N, 0.808°E)
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H620021010 - La Risle à Brionne
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H4202010 - L'Eure à Chartres
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H4522010 - L'Eure à Louviers
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```
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### 2. Selected Stations (`selected_stations.csv`)
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**File:** `selected_stations.csv`
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**Rows:** 27 stations
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**Content:** List of selected station codes for analysis
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### 3. IDPR Data (`IDPR_values.csv`)
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**File:** `IDPR_values.csv`
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**Source:** BRGM (Bureau de Recherches Géologiques et Minières)
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**Rows:** 27 stations
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**Purpose:** Infiltration vs runoff tendency (KARST indicator)
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**Columns:**
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- `fid` - Feature ID
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- `X`, `Y` - Original coordinates
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- `X_lambert`, `Y_lambert` - Lambert 93 coordinates
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- `station_id` - Station identifier
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- `basin_name` - "La Risle" or "La Eure"
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- `latitude`, `longitude` - WGS84 coordinates
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- `IDPR` - **Infiltration Dominance vs Precipitation Runoff index**
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- Higher values → More infiltration (karst behavior)
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- Lower values → More surface runoff
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**IDPR Range in Dataset:**
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- La Risle: 885 - 2000
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- Indicates varying karst influence across the basin
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### 4. ADES Groundwater Data
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**Source:** ADES (Accès aux Données sur les Eaux Souterraines)
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**Purpose:** Karst groundwater connectivity, subsurface flow pathways
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#### 4.1 Groundwater Stations (`ADES/groundwater_stations.csv`)
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**Rows:** 114 groundwater monitoring wells in watershed
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**Columns:**
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- `code_bss` - BSS code (unique well identifier)
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- `urn_bss` - URN identifier
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- `date_debut_mesure`, `date_fin_mesure` - Measurement period
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- `code_commune_insee`, `nom_commune` - Municipality
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- `x`, `y` - Coordinates
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- `bss_id` - Short BSS ID
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- `altitude_station` - Well altitude (m)
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- `nb_mesures_piezo` - Number of piezometric measurements
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- `code_departement`, `nom_departement` - Department (61=Orne, 27=Eure)
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- `profondeur_investigation` - Investigation depth (m)
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**Sample Wells:**
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- BSS000TTRG (Le Mage, Orne) - 137 measurements, depth 38m, altitude 231m
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- BSS000TTRB (Longny les Villages) - 9 measurements, depth 55m, altitude 235m
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#### 4.2 Groundwater Levels (`ADES/groundwater_levels_watershed.csv`)
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**Rows:** 272,379 piezometric measurements
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**Period:** Various (e.g., 2013-present for some wells)
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**Columns:**
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- `code_bss`, `bss_id`, `urn_bss` - Well identifiers
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- `date_mesure` - Measurement date
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- `timestamp_mesure` - Unix timestamp
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- `niveau_nappe_eau` - Groundwater level (m above reference)
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- `profondeur_nappe` - Depth to water table (m below surface)
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- `mode_obtention` - Measurement method
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- `statut` - Data status ("Donnée contrôlée niveau 2")
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- `qualification` - Data quality ("Correcte", etc.)
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- `code_producteur`, `nom_producteur` - Data producer
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**Note:** This is time series data for groundwater levels, crucial for understanding subsurface karst connectivity.
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#### 4.3 ADES Metadata (`ADES/stations_metadata.csv`)
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**Rows:** 10,001 stations (full ADES database, not filtered)
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**Purpose:** Reference metadata for all groundwater stations in France
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### 5. Watershed Shapefiles
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#### 5.1 La Risle Watershed (`Watersehd_risle/Watershed_Risle.shp`)
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**CRS:** EPSG:2154 (Lambert 93 - French national projection)
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**Features:** 1 multipolygon
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**Attributes:**
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- `ID_INTERNE` - Internal ID (e.g., Sav21_226)
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- `ID_FONCTIO` - Functional ID
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- `NOM` - Watershed name
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- `SITUATION_` - Situation/status
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#### 5.2 La Eure Watershed (`Watershed_Eure/Watershed_Eure.shp`)
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**CRS:** EPSG:2154 (Lambert 93)
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**Features:** 1 multipolygon
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**Attributes:** Same as La Risle
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#### 5.3 Merged Watershed (`Risle_Eure_watershed/Risle_Eure_Watershed.shp`)
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**CRS:** EPSG:2154 (Lambert 93)
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**Features:** 1 multipolygon (merged boundary)
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**Attributes:**
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- `FID` - Feature ID
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- `geometry` - Geometry
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**Note:** This merged shapefile covers both La Risle and La Eure basins for basin-wide analysis.
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### Hydrometric Data (Hub'Eau API)
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**Status:** Downloaded and available datasets/hydrometric
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**Expected:** JSON and CSV files for 27 stations (1960-2026)
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**Historical Statistics (Daily/Monthly):**
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- `QmnJ` / `QmM` - Mean discharge (m³/s)
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- `QIXnJ` / `QIXM` - Maximum instantaneous discharge (m³/s)
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- `QINnJ` / `QINM` - Minimum instantaneous discharge (m³/s)
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- `HIXnJ` / `HIXM` - Maximum water level (m)
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**Real-Time Observations (5-min interval, ~1 month):**
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- `H` - Water level (m)
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- `Q` - River discharge (m³/s)
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### Meteorological Data (SAFRAN Reanalysis)
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**Status:** datasets/safran
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**Expected:** JSON and CSV files for 27 stations (1960-2026)
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**Variables (12):**
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- `DLI_Q` - Atmospheric radiation (W/m²)
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- `DRAINC_Q` - Drainage (mm)
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- `ETP_Q` - Potential evapotranspiration (mm)
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- `FF_Q` - Wind speed (m/s)
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- `HU_Q` - Relative humidity (%)
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- `PRELIQ_Q` - Liquid precipitation (mm)
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- `PRENEI_Q` - Solid precipitation (mm)
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- `RESR_NEIGE_Q` - Snowpack water equivalent (mm)
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- `RUNC_Q` - Runoff (mm)
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- `SSI_Q` - Visible radiation (W/m²)
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- `SWI_Q` - Soil moisture index
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- `T_Q` - Average air temperature (°C)
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### DEM and Topographic Data
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**Status:** datasets/station_elevations.csv
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**Required for:**
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- Elevation statistics (mean, min, max)
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- Basin slope calculation
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- Drainage density
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- Topographic Wetness Index (TWI)
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- River network topology extraction (QGIS hydrology tools)
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**Recommended Source:**
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- IGN RGE ALTI (French national DEM, 1m or 5m resolution)
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- EU-DEM (25m resolution)
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### River Network Topology
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**Status:** ❌ Not yet in repository
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**Required:** `station_edges.csv` for graph construction
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**Expected Format:**
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```csv
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source,target,distance,elevation_gradient,basin_id
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H602021010,H605641401,15.2,10.0,0
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H605641401,H620021010,12.5,-5.0,0
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...
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```
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**Generation Method:**
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- Use QGIS DEM hydrology processing tools
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- Extract upstream-downstream relationships
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- Calculate river distances and elevation gradients
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- Ensure no cross-basin edges (La Risle ≠ La Eure)
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### Basin Attributes (To Be Extracted)
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**Status:** ❌ Not yet extracted from shapefiles/DEM
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**Topological:**
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- Elevation, slope, drainage density, TWI, basin area
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**Soil Properties:**
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- Soil type, texture, hydraulic conductivity, porosity, depth
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**Land Use:**
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- Forest/agricultural/urban cover %, NDVI
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**Geological/KARST:**
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- Aquifer characteristics, lithology, permeability, sinkhole density
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## Data Processing Notes
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### Basin Assignment
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Based on station names in `station_list.csv`:
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**La Risle Stations (basin_id = 0):**
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- 12 stations with names starting with "La Risle"
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- Station codes: H60*, H62*
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**La Eure Stations (basin_id = 1):**
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- 13 stations with names starting with "L'Eure"
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- Station codes: H42*, H45*, H46*, H47*
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- Includes tributary: "Le bras de l'Eure"
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### Coordinate Systems
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**All geospatial data uses:**
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- **Projected:** EPSG:2154 (Lambert 93) for distances/areas
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- **Geographic:** EPSG:4326 (WGS84) for lat/lon
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**Conversion needed for:**
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- Station coordinates (already in both systems in `station_list.csv`)
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- Shapefiles (already in EPSG:2154)
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### Data Size Summary
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| File | Rows | Size | Notes |
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|------|------|------|-------|
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| `station_list.csv` | 27 | 4.1 KB | Station metadata |
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| `selected_stations.csv` | 27 | 338 B | Station codes only |
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| `IDPR_values.csv` | 27 | 2.6 KB | KARST infiltration index |
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| `ADES/groundwater_stations.csv` | 114 | ~50 KB | Groundwater wells |
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| `ADES/groundwater_levels_watershed.csv` | 272,379 | ~50 MB | **Large!** Time series |
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| `ADES/stations_metadata.csv` | 10,001 | ~2 MB | Full ADES database |
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**⚠️ Note:** `groundwater_levels_watershed.csv` is the largest file (272K rows). Use efficient processing (chunking, filtering by date range).
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## Next Steps
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1. **Collect Hydrometric Data**
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- Use Hub'Eau API to download discharge/water level data
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- Store in `datasets/hydrometric/` (JSON and CSV)
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2. **Collect SAFRAN Data**
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- Download meteorological reanalysis for 27 station coordinates
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- Store in `datasets/safran/` (JSON and CSV)
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3. **Acquire DEM**
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- Download IGN RGE ALTI or EU-DEM for study area
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- Store in `datasets/DEM/`
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4. **Extract River Topology**
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- Use QGIS DEM hydrology tools
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- Generate `datasets/station_edges.csv`
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5. **Extract Basin Attributes**
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- Use DEM to calculate topological features
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- Use soil/land use databases for additional features
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- Store in `datasets/basin_features/`
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6. **Process Data Through Pipeline**
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- Run `example_pipeline.py` once all data is available
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- Generate fused datasets, graphs, and tensors
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## Data Sources & References
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- **Hub'Eau API:** https://hubeau.eaufrance.fr/
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- **SAFRAN Reanalysis:** Météo-France
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- **ADES:** https://ades.eaufrance.fr/ (groundwater data)
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- **BRGM IDPR:** Bureau de Recherches Géologiques et Minières
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- **IGN:** https://geoservices.ign.fr/ (DEM, elevation data)
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- **Watersheds:** Digitized from official French hydrographic boundaries
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