REMOTE SENSING OF RIVER DISCHARGES – THE CASE OF THE RIONI CATCHMENT

Discharge is a critical parameter in situ to calibrate and validate water quantity and quality in rivers flowing into marine environments. Hydrological modelling is a key instrument to complete the quantitative assessment of river catchment ecology and to enumerate the impacts of pollution loads into the sea. Nutrient loads from river catchments are of particular importance for enclosed marine environments such as the Black Sea. Open-source tools and instruments, promoted for use within several European-supported projects (such as FP7 enviroGRIDS, IASON, and H2020 DOORS), were applied to data-scarce regions around the Black Sea. To mitigate issues with unavailable or low-quality discharge data, determination through satellite remote sensing for the case of the Rioni River is reported in this communication as a proving ground for this novel approach. In particular, the open-source Soil and Water Assessment Tool (SWAT, ArcSWAT, Arnold et al., 1998) was employed to set up the hydrological model for the Rioni River Basin. Global 30 m resolution land cover, 30 m Global DEM, and FAO soils cover data (complemented with the national soils at 1:500,000 scale), combined with globally available climate datasets in ArcSWAT input format, were applied to set up and run the hydrological model for the Rioni Catchment. Weak quality (and lack of public availability) of hydrological discharge measurements did not allow the calibration and validation of the water quantity model. To compensate for the lack of quality in in situ discharge data, a conceptual validation was performed to apply remote sensing to address the scarcity of discharge data. Due to a satisfactory visual fit of the in situ measured and microwave satellite observation data, it was speculated that, instead of the use of a global hydrological model to derive absolute values for river discharge time series from satellite observations, one could combine microwave satellite data (available in relative values; Brakenridge et al., 2012) with absolute figures obtained via the 'at-many-stations hydraulic geometry' (AMHG) river-width-based methodology, described in the literature (Gleason and Smith, 2014), in order to recalculate relative values of satellite measurement time series into absolute values for river discharges. It was demonstrated that the high-resolution instruments of the European Sentinel satellite series would allow for the measurement of the required parameters for wide rivers such as the Rioni, thus sensing discharge data remotely, supporting calibration and validation of the hydrological model set-up. This may contribute to resolving environmental governance challenges of river discharge and nutrient loads data availability in the Black Sea Basin. Keywords: discharge remote sensing, river basin, catchment hydrology, Black Sea.