This repository aims to ease the treatment of hydrographic data available on hubeau.fr API. The data consist of mean daily flows captured by a network of gauging stations operating throughout France, known as the Vigicrue network. It is structured in several modules: # MODULE 0 - for each station within the user-specified Area of Interest (AoI), it downloads the location, code, openning and closing date of each station - for each station, it dowloads the mean daily flows over a user-specified Period of Interest - it downloads the Digital Elevation Model (DEM) of the AoI - it downmloads stream impoundment features from Open Street Map to further perform a hydrographic analysis - it reprojects to the user-specified CRS the Corine Land Cover raster file attached to this repository # MODULE 1 - it creates the topographic material that will be further used to export data as Polygon vector layers - it delineates the subcatchment of each station within the AoI, whether or not do they cover the time range # MODULE 2 - it computes elaborated data (mean monthly flows and mean monthly flow deviations) - exports them as 3 files : a point-geometry .gpkg vector file, a polygon-geometry .gpkg vector file (i.e. subcatchments), a .csv file - optionally generates scatter plots of elaborated data for each station : . "MMF" figures : hydrographs are plotted against their monthly coefficient of variations . "MannKendall regression" figures : mean monthly flow over the whole time range are plotted against the linear trend - 2 products as outputs : . "mmf_average": mean monthly flow averaged over the user-specified period for each station and gathered in a same file for all stations . "mmf_all": mean monthly flow for each month separately in the user-specified period. Each station is saved as a separate file. # MODULE 3 - it delinates the subcatchments of those stations within the AoI that match the time range and have been analyzed in Module 2 # MODULE 4 - it generates renderings based on Modules 2 and 3 - it joins the "MMF_average" product to the delineated catchments - it joins the "MannKendall regression" product to the delineated catchments - it generates maps : . one mapping the long-term trend of mean monthly flows for each subcatchment . one mapping the long-term trend of mean monthly deviations for each subcatchment . one mapping the mean annual coefficient of variation for each subcatchment # MODULE 5 - it requires these 2 additionnal files to be downloaded at https://seafile.emse.fr/d/d21e4a3c2bf74432adfc/ and placed in the same directory as main.py and hydrofunc.py - it performs a spatial analysis of flow deviation - it computes the correlation matrix betwwen land occupation, strem impoundments and flow variability (or deviation, captured through the annual coefficients of variation) - it outputs two figures: . "Pearson correlation matrix" figure: the core product of spatial analysis . "p-values matrix" figure: the corresponding significance of the Pearson correlation matrix