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–˛ Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-2561 Peer reviewed articles 2020 Miha Curk, Matjaž Glavan, Marina Pintar Analysis of Nitrate Pollution Pathways on a Vulnerable Agricultural Plain in Slovenia: Taking the Local Approach to Balance Ecosystem Services of Food and Water Water 10.3390/w12030707 Data Management & Analytics Water Distribution Networks Groundwater pollution with nitrate of agricultural origin is a major problem in many countries. A great deal of effort is focused on finding ways to reduce leaching from agricultural land. In this study, different land management scenarios were evaluated with the SWAT model in order to determine which are the most effective in reducing nitrate leaching on specific soil types in the Krška kotlina alluvial plain (Slovenia). The area is very important both for agriculture production and drinking water resources. The model was calibrated for three soil moisture field trial sites, each representing one major soil type of the area. Simulated soil moisture values were in good agreement with the observed values (PBIAS (percent bias) ±25%). Of the nine land management scenarios that were evaluated, vegetable rotation caused the most nitrate leaching on all soil types, but it fared better on Cambisol than on Fluvisol. Orchards on the other hand leached the least amount of nitrate, but also fared better on Cambisol. Presented studies should be considered as a preliminary stage in the study of nitrate pollution in the investigated area. Results show that nitrate leaching varies for different land management scenarios on different soil types. Further work should concentrate on field trials to evaluate the impacts of reduced fertilization on nitrate leaching and both crop yield and quality on different soil types. 727984
publications-2562 Peer reviewed articles 2020 Josep Sanchís, AdriánJaén-Gil, Pablo Gago-Ferrero, Elias Munthali, Maria José Farré Characterization of organic matter by HRMS in surface waters: Effects of chlorination on molecular fingerprints and correlation with DBP formation potential Water Research 10.1016/j.watres.2020.115743 AI & Machine Learning Natural Water Bodies No abstract available 722518
publications-2563 Peer reviewed articles 2020 Giardino, Claudia; Bresciani, Mariano; Braga, Federica; Fabbretto, Alice; Ghirardi, Nicola; Pepe, Monica; Gianinetto, Marco; Colombo, Roberto; Cogliati, Sergio; Ghebrehiwot, Semhar; Laanen, Marnix; Peters, Steef; Schroeder, Thomas; Concha, Javier A.; Brando, Vittorio E. First Evaluation of PRISMA Level 1 Data for Water Applications Sensors 10.5281/zenodo.3997368 Data Management & Analytics Natural Water Bodies No abstract available 730066
publications-2564 Peer reviewed articles 2019 Uudeberg, Kristi; Ansko, Ilmar; Põru, Getter; Ansper, Ave; Reinart, Anu Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters Remote Sensing 10.5281/zenodo.4004138 Data Management & Analytics Natural Water Bodies No abstract available 730066
publications-2565 Peer reviewed articles 2020 Adrián González-Rosell, Maria Blanco, Imen Arfa Integrating Stakeholder Views and System Dynamics to Assess the Water–Energy–Food Nexus in Andalusia Water 10.3390/w12113172 Simulation & Modeling Wastewater Treatment Plants A nexus approach can support the transition to sustainability by addressing trade-offs and pursuing synergies to improve water, energy, and food security. In this paper, a participatory system dynamics model was developed to identify and assess the key interlinkages between water, food, and energy in Andalusia (Spain). A panel of relevant stakeholders contributed to all stages of the model’s development. Further, by calibrating the model to CAPRI-Water projections until 2050, the evolution of the system under a plausible climate scenario, as well as effects of water prices changes, was evaluated. The results revealed a close link between water cost, irrigation water use, energy consumption, and the economic development of agriculture in the region. Large variability was observed in the effects of water pricing policies across crops. This paper concludes that a participatory system dynamics model can help in understanding the nexus synergies and can support the design of more coherent sustainability strategies in the region. 689150
publications-2566 Peer reviewed articles 2020 Vincent Linderhof, Kristie Dekkers, Nico Polman The Role of Mitigation Options for Achieving a Low-Carbon Economy in the Netherlands in 2050 Using a System Dynamics Modelling Approach Climate 10.3390/cli8110132 Data Management & Analytics Uncategorized To reach a low-carbon economy in the Netherlands, the level of greenhouse gases (GHG) emissions has to be reduced by 80–95% CO2 emissions compared to 1990 (223.1 MtCO2-equivalents). This study aims to address how investment subsidies combined with carbon levies could be deployed to support technological mitigation options to achieve a low-carbon economy in the Netherlands in 2050. A system dynamic model has been built including demographic-economic, energy and environmental sub-systems of the Netherlands. The model has been validated with earlier projections of the EU for the energy and climate policy in 2050. Next to the business-as-usual scenario, there are four policy scenarios simulated from 2010 to 2050. In all policy scenarios a carbon levy was imposed on non-renewable energy to finance subsidies on mitigation options. Results show that imposing subsidies on the mitigation option renewable energy is most effective in combination with the carbon levy. 689150
publications-2567 Peer reviewed articles 2020 Gabriel C. Rau, Mark O. Cuthbert, Vincent E. A. Post, Daniel Schweizer, R. Ian Acworth, Martin S. Andersen, Philipp Blum, Elisabetta Carrara, Todd C. Rasmussen, Shemin Ge Future-proofing hydrogeology by revising groundwater monitoring practice Hydrogeology Journal 10.1007/s10040-020-02242-7 AI & Machine Learning Uncategorized AbstractGroundwater is an important global resource and its sustainable use faces major challenges. New methods and advances in computational science could lead to much improved understanding of groundwater processes and subsurface properties. A closer look at current groundwater monitoring practice reveals the need for updates with a special focus on the benefits of high-frequency and high-resolution datasets. To future-proof hydrogeology, this technical note raises awareness about the necessity for improvement, provides initial recommendations and advocates for the development of universal guidelines. 835852
publications-2568 Peer reviewed articles 2020 Fiona Nicholson, Rikke Krogshave Laursen, Rachel Cassidy, Luke Farrow, Linda Tendler, John Williams, Nicolas Surdyk, Gerard Velthof How Can Decision Support Tools Help Reduce Nitrate and Pesticide Pollution from Agriculture? A Literature Review and Practical Insights from the EU FAIRWAY Project Water 10.3390/w12030768 IoT & Sensors Uncategorized The FAIRWAY project reviewed approaches for protecting drinking water from nitrate and pesticide pollution. A comprehensive assessment of decision support tools (DSTs) used by farmers, advisors, water managers and policy makers across the European Union as an aid to meeting CAP objectives and targets was undertaken, encompassing paper-based guidelines, farm-level and catchment level software, and complex research models. More than 150 DSTs were identified, with 36 ranked for further investigation based on how widely they were used and/or their potential relevance to the FAIRWAY case studies. Of those, most were farm management tools promoting smart nutrient/pesticide use, with only three explicitly considering the impact of mitigation methods on water quality. Following demonstration and evaluation, 12 DSTs were selected for practical testing at nine diverse case study sites, based on their pertinence to local challenges and scales of interest. Barriers to DST exchange between member states were identified and information was collected about user requirements and attitudes. Key obstacles to exchange include differences in legislation, advisory frameworks, country-specific data and calibration requirements, geo-climate and issues around language. Notably, DSTs from different countries using the same input data sometimes delivered very different results. Whilst many countries have developed DSTs to address similar problems, all case study participants were able to draw inspiration from elsewhere. The support and advice provided by skilled advisors was highly valued, empowering end users to most effectively use DST outputs. 727984
publications-2569 Peer reviewed articles 2018 G. Mathias Kondolf, Rafael J.P. Schmitt, Paul Carling, Steve Darby, Mauricio Arias, Simone Bizzi, Andrea Castelletti, Thomas A. Cochrane, Stanford Gibson, Matti Kummu, Chantha Oeurng, Zan Rubin, Thomas Wild Changing sediment budget of the Mekong: Cumulative threats and management strategies for a large river basin Science of The Total Environment 10.1016/j.scitotenv.2017.11.361 Simulation & Modeling Data Management & Analytics No abstract available 689682
publications-2570 Peer reviewed articles 2018 Nikolaos Mellios, Jason Koopman, Chrysi Laspidou Virtual Crop Water Export Analysis: The Case of Greece at River Basin District Level Geosciences 10.3390/geosciences8050161 Cloud Technologies Uncategorized An analysis of virtual crop water export through international trade is conducted for Greece, downscaled to the River Basin District (RBD) level, in order to identify critical “hotspots” of localized water shortage in the country. A computable general equilibrium model (MAGNET) was used to obtain the export shares of crops and associated irrigation water was calculated for all major crops in Greece. A distinction between virtual crop water locally consumed and traded internationally was made for all Greek RBDs. Cotton was identified as a large water consumer and virtual water exporter, while GR08 and GR10 were identified as the RBDs mostly impacted. The value of virtual water exported was calculated for all crop types and fruits and vegetables were identified as the crop most beneficial, since they consume the least water for the obtained value. 689150