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 ā–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-2431 Peer reviewed articles 2023 B. Evans ; M. Khoury; L. Vamvakeridou-Lyroudia; O. Chen; N. Mustafee; A.S. Chen; S. Djordjevic; D. Savic A modelling testbed to demonstrate the circular economy of water Journal of Cleaner Production 10.1016/j.jclepro.2023.137018 Uncategorized Uncategorized No abstract available 776541
publications-2432 Peer reviewed articles 2021 Torsten Mayer-GĆ¼rr, Saniya Behzadpour, Annette Eicker, Matthias Ellmer, Beate Koch, Sandro Krauss, Christian Pock, Daniel Rieser, Sebastian Strasser, Barbara SĆ¼sser-Rechberger, Norbert Zehentner, Andreas Kvas GROOPS: A software toolkit for gravity field recovery and GNSS processing Computers & Geosciences 10.1016/j.cageo.2021.104864 Uncategorized Natural Water Bodies No abstract available 870353
publications-2433 Peer reviewed articles 2022 Eva Boergens, Andreas Kvas, Annette Eicker, Henryk Dobslaw, Lennart Schawohl, Christoph Dahle, Michael Murbƶck, Frank Flechtner Uncertainties of GRACE-based terrestrial water storage anomalies for arbitrary averaging regions Journal of Geophysical Research: Solid Earth 10.1029/2021jb022081 Simulation & Modeling Natural Water Bodies AbstractThe application of terrestrial water storage (TWS) data observed with GRACE and GRACEā€FO often requires realistic uncertainties. For gridded TWS data, this requires the knowledge of the covariances, which can be derived from the formal, i.e., formally estimated in the parameter estimation, varianceā€covariance matrix provided together with the Stokes coefficients. However, the propagation of monthly varianceā€covariance matrices to TWS data is computationally expensive, so we apply a spatial covariance model for TWS data. The covariance model provides nonā€homogeneous (location depending), nonā€stationary (time depending), and anisotropic (orientation depending) covariances between any two given points. Further, the model accommodates waveā€like behavior of Eastā€Westā€directed covariances, which residuals of GRACE striping errors can cause. The main application of such spatial covariances is the estimation of uncertainties for mean TWS time series for arbitrary regions such as river basins. Alternatively, regional uncertainties can be derived from the above mentioned formal varianceā€covariance matrices of the Stokes coefficients. This study compares modeled basin uncertainties for GFZ RL06 and ITSGā€Grace2018 TWS data with the formal basin uncertainties from the ITSGā€Grace 2018 solution. The modeled and formal uncertainties fit both in the spatial and temporal domain. We further evaluate the modeled uncertainties by comparison to empirical uncertainties over arid regions. Here, again the appropriateness of the modeled uncertainties is shown. The results, namely the TWS uncertainties for global river basins, are available via the GravIS portal. Further, we provide a Python toolbox, which allows computing uncertainties and covariance matrices. 870353
publications-2434 Peer reviewed articles 2021 Efthymios Rodias; Eirini Aivazidou; Charisios Achillas; Dimitrios Aidonis; Dionysis Bochtis Water-Energy-Nutrients Synergies in the Agrifood Sector: A Circular Economy Framework Energies, Vol 14, Iss 159, p 159 (2021) 10.3390/en14010159 Uncategorized Uncategorized Circular economy is emerging as a regenerative concept that minimizes emissions, relies on renewable energy, and eliminates waste based on the design of closed-loop systems and the reuse of materials and resources. The implementation of circular economy practices in resource-consuming agricultural systems is essential for reducing the environmental ramifications of the currently linear systems. As the renewable segment of circular economy, bioeconomy facilitates the production of renewable biological resources (i.e., biomass) that transform into nutrients, bio-based products, and bioenergy. The use of recycled agro-industrial wastewater in agricultural activities (e.g., irrigation) can further foster the circularity of the bio-based systems. In this context, this paper aims to provide a literature review in the field of circular economy for the agrifood sector to enhance resource efficiency by: (i) minimizing the use of natural resources (e.g., water, energy), (ii) decreasing the use of chemical fertilizers, (iii) utilizing bio-based materials (e.g., agricultural/livestock residues), and (iv) reusing wastewater from agrifood operations. The final objective is to investigate any direct or indirect interactions within the water-energy-nutrients nexus. The derived framework of synergetic circular economy interventions in agriculture can act as a basis for developing circular bio-based business models and creating value-added agrifood products. 820985
publications-2435 Peer reviewed articles 2022 Joao Costa; M. Besher Massri; Marko Grobelnik; Ignacio Casals del Busto; Dale Weston A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation Open Research Europe 10.12688/openreseurope.14471.1 Data Management & Analytics River Basins Observing the world on a global scale can help us understand better the context of problems that engage us all. In this paper, we propose a data-driven global observatory that puts together the different perspectives of media, science, statistics and sensing over heterogeneous data sources and text mining algorithms. We also discuss the implementation of this global observatory in the context of epidemic intelligence, monitoring the impact of the COVID-19 pandemic, and in the context of climate change, with a specific focus on water resource management. We will also discuss the value of this global solution in local contexts and priorities. 820985
publications-2436 Peer reviewed articles 2020 Klemen Kenda; Jože Peternelj; Nikos Mellios; Dimitris Kofinas; Matej Čerin; Jože M. Rožanec Usage of statistical modeling techniques in surface and groundwater level prediction Journal of Water Supply: Research and Technology 10.2166/aqua.2020.143 Data Management & Analytics Natural Water Bodies Abstract The paper presents a thorough evaluation of the performance of different statistical modeling techniques in ground- and surface-level prediction scenarios as well as some aspects of the application of data-driven modeling in practice (feature generation, feature selection, heterogeneous data fusion, hyperparameter tuning, and model evaluation). Twenty-one different regression and classification techniques were tested. The results reveal that batch regression techniques are superior to incremental techniques in terms of accuracy and that among them gradient boosting, random forest and linear regression perform best. On the other hand, introduced incremental models are cheaper to build and update and could still yield good enough results for certain large-scale applications. 820985
publications-2437 Peer reviewed articles 2022 M.Ribalta, R. Bejar, C. Mateu, E. RubiĆ³n Machine learning solutions in sewer systems: a bibliometric analysis Urban water journal 10.1080/1573062x.2022.2138460 Data Management & Analytics Natural Water Bodies No abstract available 820751
publications-2438 Peer reviewed articles 2022 Foglia et al Transforming wastewater treatment plants into reclaimed water facilities in water-unbalanced regions. An overview of possibilities and recommendations focusing on the Italian cases Journal of cleaner production 10.1016/j.jclepro.2021.126201 Uncategorized River Basins No abstract available 820954
publications-2439 Peer reviewed articles 2023 Bour, Guillaume et al. Water-Tight IoTā€“Just Add Security Journal of Cybersecurity and Privacy 10.3390/jcp3010006 Uncategorized River Basins The security of IoT-based digital solutions is a critical concern in the adoption of Industry 4.0 technologies. These solutions are increasingly being used to support the interoperability of critical infrastructure, such as in the water and energy sectors, and their security is essential to ensure the continued reliability and integrity of these systems. However, as our research demonstrates, many digital solutions still lack basic security mechanisms and are vulnerable to attacks that can compromise their functionality. In this paper, we examine the security risks associated with IoT-based digital solutions for critical infrastructure in the water sector, and refer to a set of good practices for ensuring their security. In particular, we analyze the risks associated with digital solutions not directly connected with the IT system of a water utility. We show that they can still be leveraged by attackers to trick operators into making wrong operational decisions. 820954
publications-2440 Peer reviewed articles 2022 Romain Sarremejane, Mathis LoĆÆc Messager, Thibault Datry Drought in intermittent river and ephemeral stream networks Ecohydrology 10.1002/eco.2390 Control Systems Precipitation & Ecological Systems AbstractIntermittent rivers and ephemeral streams (IRES), those watercourses that periodically cease to flow or dry, are the world's most widespread type of river ecosystem. Our understanding of the natural hydrology and ecology of IRES has greatly improved, but their responses to extreme events such as drought remain a research frontier. In this review, we present the state of the art, knowledge gaps and research directions on droughts in IRES from an ecohydrological perspective. We clarify the definition of droughts in IRES, giving recommendations to promote transferability in how ecohydrological studies characterize droughts in nonā€perennial stream networks. Based on a systematic search of the literature, we also identify common patterns and sources of variation in the ecological responses of IRES to droughts and provide a roadmap for further research to enable improved understanding and management of IRES during those extreme hydrological events. Confusion in the terminology and the lack of tools to assess the hydrological responses of IRES to drought may have hindered the development of drought research in IRES. We found that 44% of studies confused the term drought with seasonal drying and that those that measure droughts in a transferable way are a minority. Studies on ecological responses to drought in IRES networks are still rare and limited to a few climatic zones and organisms and mainly explored in perennial sections. Our review highlights the need for additional research on this topic to inform IRES management and conservation. 891090