Publication Date:
2021
abstract:
The EC HYPOS (HYdro-POwer-Suite) project (https://hypos-project.eu/) has the main goal of
assessing the environmental impact of existing and future hydropower systems. The project will
provide a suite of data analysis applications which integrates Earth Observation (EO) technologies
and hydrological modelling. These include an online Decision Support Tool (DST) for investment
planning and monitoring, as well as a subscription portal combining satellite data over time,
current measurements and detailed estimates for present and near future assessments. A
dedicated analysis on the "blue footprint" (i.e. the amount of water used to produce a service) of
reservoirs is included for addressing sustainable monitoring solutions. Such analysis comprises
the evaluation of the climate change effects on reservoirs management and hydropower
production. For instance, extreme weather events like short-term heavy precipitations are
connected with flooding and transport of large amounts of sediments in dammed reservoirs, with
critical consequences for their management. Similarly, global warming can heat the surface of
water bodies and induce higher evaporation rates, thus decreasing the amount of water available
for energy production.
In this study we present the first products from HYPOS project. These products are representative
of what can be generated within the DST using elaboration techniques of EO data. Gridded
products of water quality parameters (e.g. water turbidity, Chlorophyll-a concentration, suspended
sediments concentration) are generated for the test sites of the project, which are small dammed
reservoirs located in Switzerland, France, Albania and Georgia. These products are obtained using
the Modular Inversion and Processing System (MIP), a sensor independent image processing chain
based on radiative transfer models, which works in a multi-layer system, solving the light transfer
in the atmosphere, at the water surface and inside the waterbody.
For the assessment of the "blue footprint" of a reservoir, the water loss due to evaporation is
computed by applying a consolidated mass transfer evaporation method to EO data. The resulting
evaporation rates are first compared with the outputs of semi-automatic evapotranspiration EObased models (e.g. SEBAL), and then with the estimates obtained from two different numerical
models: a hydrological model (E-Hype) and a 3D hydrodynamic model (Delft3D). The key
parameters influencing water evaporation rates, their behavior and the issues related to each
approach are analyzed. The first comparison results are made for lake Garda, where a complete
set of data is available for the production of evaporation maps.
Iris type:
04.02 Abstract in Atti di convegno
Keywords:
Hydropower; Earth Observation; Evaporation
List of contributors: