Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-2901 Conference proceedings 2023 Alapfy, Bertalan; Siegfried, Tobias; Zeiringer, Bernhard; Hayes, Daniel S.; Roth, Moritz; Schwedhelm, Hannah; Verhelst, Pieterjan; Coeck, Johan; Rüther, Nils Nachhaltige Kleinwasserkraft-Entwicklung in Zentralasien – Hydro4U in der Planungsphase Beiträge zum 21. Wasserbau-Symposium der Wasserbauinstitute TU München, TU Graz und ETH Zürich 10.5281/zenodo.10634917 Uncategorized Wastewater Treatment Plants No abstract available 101022905
publications-2902 Conference proceedings 2022 Siegfried, T., Anarbekov, O., Ragettli, S., and Marti, B. Accountability and Transparency through Water-Energy-Food Nexus Accounting in Central Asia European Geosciences Union (EGU) General Assembly 2022 | Abstracts 10.5194/egusphere-egu22-7012 IoT & Sensors Natural Water Bodies <p>In Central Asia, more than 90 % of annually renewable water resources are consumptively utilized in irrigation, and allocation conflicts between large-scale hydropower in the upstream and irrigation in the downstream occur regularly and mostly across complex international borders, especially during water scarce years and low storage conditions. With increasing attention on climate-neutral hydropower solutions, including on small-scale hydropower <br>(< 10MW), the water-energy-food-environment nexus is now under renewed focus in the region. In line with these developments, new nexus tradeoffs emerge that need to be yet acknowledged and quantified, also under the considering of a changing climate.</p><p>As part of the ongoing EU Horizon 2020 Project Hydro4U that demonstrates innovative and sustainable hydropower solutions targeting the unexplored small-scale hydropower potential in Central Asia, a new online nexus toolbox with an innovative monitoring and accounting methodology is developed. It assimilates data from different sources, including from remote sensing and through local monitoring, to monitor and predict water availability and energy production in the mountainous zones of runoff formation and irrigation water use in the downstream. Target user groups are Basin Irrigation System Administrations, private and public energy stakeholders, and Ministry of Water representatives in the two demonstration sites where small-scale hydropower plants are built as part of the project.</p><p>Irrigation water use is monitored using an innovative unsupervised machine learning technique for mapping crop-disaggregated irrigated areas at the catchment scale. State-of-the-art datasets on evapotranspiration and biomass production are used for the detailed analysis of crop water demands and irrigation efficiencies in conjunction with local scheme-level water use where available. All processing steps were implemented in Google Earth Engine (GEE), enabling to process large amounts of irrigated crop statistics at a high spatial resolution for the entire semi-arid Central Asia region, including Afghanistan.</p><p>In relation to water availability and renewable energy, hydropower production at the demonstration sites is modeled using hydrological modeling using the HBV model. Discharge is forecast at decadal (10-days) to monthly time scales using data from the NOAA NCEI Global Forecasting System product and information on the development of the catchment scale snow cover from the MODIS Snow Cover Daily Global 500m product in the zones of runoff formation.</p><p>The nexus toolbox is a web-based tool that can deliver unique and objective data and intelligence to local stakeholders and decision-makers, off-farm and on-farm alike. The advantage of such technology is that no local infrastructure, beyond a computer connected to the internet, is required to access these types of data and intelligence relevant for irrigation improvements is required. The software can be specifically tailored (through an iterative co-design approach) to the needs and wants of stakeholders at all levels, from farmers to Water User Associations on the consumer side and from service providers at district, Province, and National levels. It will also contribute to designing climate-proofed benefits sharing regimes considering uncertainties explicitly to ensure optimal and fair resource use and distribution across the different domains and countries and, therefore, contributing to regional cooperation and peace.</p> 101022905
publications-2903 Conference proceedings 2022 Musuuza J., Crochemore L., Pechlivanidis I. The impact of assimilating Earth Observation and in situ data on seasonal hydrological predictions in a snow-dominated river system Uncategorized Wastewater Treatment Plants No abstract available 870497
publications-2904 Conference proceedings 2021 Kandris K., Romas E., Tzimas A., Bresciani M., Giardino C., Bauer P., Pechlivanidis I., Dessena M. A data-driven approach to predict phytoplankton blooms using satellite-derived water quality and hydrometeorological drivers Uncategorized Natural Water Bodies No abstract available 870497
publications-2905 Conference proceedings 2020 Kandris, Kyriakos, Evangelos D. Romas, Apostolos Tzimas and Eugenia Gavalakis Employing data-driven models in the optimization of chemical usage in water treatment plants Uncategorized Uncategorized No abstract available 870497
publications-2906 Conference proceedings 2022 Musuuza J., Crochemore L., Pechlivanidis I. The impact of assimilating Earth Observation and in-situ data on seasonal hydrological predictions IoT & Sensors Natural Water Bodies No abstract available 870497
publications-2907 Conference proceedings 2022 Bresciani et al. Evaluation of PRISMA Hyperspectral Data for Inland and Coastal Water Applications Uncategorized Uncategorized No abstract available 870497
publications-2908 Conference proceedings 2021 Pechlivanidis I. and Musuuza J What is the impact of earth observation and in-situ data assimilation on seasonal hydrological predictions? AI & Machine Learning Uncategorized No abstract available 870497
publications-2909 Conference proceedings 2021 C. Giardino et al. Hyperspectral Prisma Products of Aquatic Systems Uncategorized Natural Water Bodies No abstract available 870497
publications-2910 Conference proceedings 2022 Fabbretto A , Pellegrino A , Mangano S , Bresciani M , Pinardi M , Giardino C , Tzimas A. Evaluation of PRISMA and DESIS data for water quality mapping: a focus on PrimeWater project study areas Uncategorized Natural Water Bodies No abstract available 870497