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-1981 Peer reviewed articles 2023 Kan Li, Giulia Cipolletta, Corinne Andreola, Anna Laura Eusebi, Barbara Kulaga, Silvio Cardinali & Francesco Fatone Circular economy and sustainability in the tourism industry: critical analysis of integrated solutions and good practices in European and Chinese case studies Environment, Development and Sustainability 10.1007/s10668-023-03395-7 Uncategorized Uncategorized No abstract available 776643
publications-1982 Peer reviewed articles 2022 Zisis Tsiropoulos, Evangelos Skoubris, Spyros Fountas, Ioannis Gravalos and Theofanis Gemtos Development of an Energy Efficient and Fully Autonomous Low-Cost IoT System for Irrigation Scheduling in Water-Scarce Areas Using Different Water Sources Agriculture 10.3390/agriculture12071044 IoT & Sensors Natural Water Bodies Politicians and the general public are concerned about climate change, water scarcity, and the constant reduction in agricultural land. Water reserves are scarce in many regions in the world, negatively affecting agricultural productivity, which makes it a necessity to introduce sustainable water resource management. Nowadays, there is a number of commercial IoT systems for irrigation scheduling, helping farmers to manage and save water. However, these systems focus on using the available fresh water sources, without being able to manage alternative water sources. In this study, an Arduino-based low-cost IoT system for automated irrigation scheduling is developed and implemented, which can provide measurements of water parameters with high precision using low-cost sensors. The system used weather station data combined with the FAO56 model for computing the water requirements for various crops, and it was capable of handling and monitoring different water streams by supervising their quality and quantity. The developed IoT system was tested in several field trials, to evaluate its capabilities and functionalities, including the sensors’ accuracy, its autonomous controlling and operation, and its power consumption. The results of this study show that the system worked efficiently on the management and monitoring of different types of water sources (rainwater, groundwater, seawater, and wastewater) and on automating the irrigation scheduling. In addition, it was proved that the system is can be used for long periods of time without any power source, making it ideal for using it on annual crops. 776643
publications-1983 Peer reviewed articles 2023 M. Castano-Trias, S. RodrĂ­guez-Mozaz, G. Buttiglieri A decade of water monitoring in a Mediterranean region: Pharmaceutical prioritisation for an upgraded analytical methodology Environmental Nanotechnology, Monitoring & Management 10.1016/j.enmm.2023.100850 Uncategorized Wastewater Treatment Plants No abstract available 776643
publications-1984 Peer reviewed articles 2023 Maria Kalli, Constantinos Noutsopoulos and Daniel Mamais The Fate and Occurrence of Antibiotic-Resistant Bacteria and Antibiotic Resistance Genes during Advanced Wastewater Treatment and Disinfection: A Review Water 10.3390/w15112084 IoT & Sensors Natural Water Bodies Antimicrobial resistance (AMR) is a serious problem for modern society, not only associated with clinical environments, but also the natural environment. Conventional wastewater treatment plants (WWTPs) are important nodes for the dissemination of antibiotic resistance to the aquatic environment since they are reservoirs of antibiotic-resistant bacteria (ARB), antibiotic resistance genes (ARGs), and antibiotic residues. WWTPs are not designed to remove these antibiotic resistance determinants from wastewater, and as a result, they are present in treated effluent, leading to environmental and public health concerns regarding wastewater disposal and reuse. Additional treatments combined with conventional WWTPs can be barriers to the spread of AMR to the environment. In order to understand the effect of wastewater treatment methods on the removal of ARB and ARGs, an extensive bibliographic study was conducted. This review summarizes the efficiency of conventional disinfection methods, tertiary wastewater treatment, and advanced oxidation processes (AOPs) to remove ARB and ARGs from wastewater. In the context of the revised Urban Wastewater Treatment Directive 91/271/EEC, further studies are needed on the removal potential of AOPs on a full-scale, as they offer great potential for the removal of ARB and ARGs with a low formation of toxic by-products compared to conventional disinfection methods. 776643
publications-1985 Peer reviewed articles 2022 C.E. Nika, V. Vasilaki, D. Renfrew, M. Danishvar, A. Echchelh , E. Katsou Assessing circularity of multi-sectoral systems under the Water-Energy-Food-Ecosystems (WEFE) nexus Water Research 10.1016/j.watres.2022.118842 Simulation & Modeling Irrigation Systems No abstract available 776643
publications-1986 Peer reviewed articles 2021 Chrysanthi-Elisabeth Nika, Alfonso Expósito, Johannes Kisser, Gaetano Bertino, Hasan Volkan Oral, Kaveh Dehghanian, Vasileia Vasilaki, Eleni Iacovidou, Francesco Fatone, Nataša Atanasovaand Evina Katsou Validating Circular Performance Indicators: The Interface between Circular Economy and Stakeholders Water 10.3390/w13162198 Simulation & Modeling Precipitation & Ecological Systems The development and application of appropriate Circular Economy indicators is an issue that concerns both the scientific and the business community, as well as decision makers. The existing gap between research, policy and practice could be bridged by using a dynamic indicators selection approach that combines both expert and participatory practices. This study aims to develop such a novel approach for the selection of indicators based on views and needs of practitioners, whilst considering the complex interdependencies of the indicators and determining their importance. Twenty circularity indicators for the Water-Energy-Food-Ecosystems nexus are selected and ranked by different stakeholders. The interrelationships of the indicators are identified using the Interpretive Structural Model, resulting in six levels of importance. Cross-impact matrix multiplication applied to classification (MICMAC) analysis further enabled the classification of the twenty indicators into four categories based on their driving and dependence power. The results indicate that seven indicators—one related to regeneration of natural environment principle, four related to keep resources in use, and two related to design out negative externalities—are the driving indicators to Circular Economy. The approach can be applied to other sets of indicators as well, enabling their prioritization and implementation with other systems. 776643
publications-1987 Peer reviewed articles 2022 Matteo Postacchini , Elisa Di Giuseppe, Anna Laura Eusebi, Leonardo Pelagalli, Giovanna Darvini, Giulia Cipolletta, Francesco Fatone Energy saving from small-sized urban contexts: Integrated application into the domestic water cycle Renewable Energy 10.1016/j.renene.2022.09.063 Simulation & Modeling Precipitation & Ecological Systems No abstract available 776643
publications-1988 Peer reviewed articles 2022 Mahdieh Ghafourian, Chrysanthi-Elisabeth Nika, Alireza Mousavi, Eric Mino, Maha Al-Salehi c, Evina Katsou Economic impact assessment indicators of circular economy in a decentralised circular water system — Case of eco-touristic facility Science of the Total Environment 10.1016/j.scitotenv.2022.153602 Data Management & Analytics Precipitation & Ecological Systems No abstract available 776643
publications-1989 Peer reviewed articles 2021 Olga P. Koutsou , Michail S. Fountoulakis, Christos Matsoukas, Nikolaos M. Fyllas,Athanasios S. Stasinakis Estimation of N2O emissions from wastewater characteristics in constructed wetlands Journal of Environmental Chemical Engineering 10.1016/j.jece.2021.106632 Simulation & Modeling Precipitation & Ecological Systems No abstract available 776643
publications-1990 Peer reviewed articles 2023 Georgios Karakatsanis and Christos Makropoulos Resource Recovery and the Sherwood Plot Entropy 10.3390/e25010004 Data Management & Analytics Precipitation & Ecological Systems Our work analyzes the biophysical and economic foundations of the Sherwood Plot (SP). In general, the SP depicts the theoretical relationship between the cost of recovering a target material or an identified Value Added Compound (VAC) from a waste matrix and its dilution in the waste matrix; specifically suggesting that the recovery cost is reverse proportional to the VAC’s dilution in it. We further utilize the SP as a scientifically consistent and economically coherent analytical framework for measuring resource recovery performance. Initially, we analyze the SP’s fundamental physical properties, as well as its many potential economic extensions. Specifically, we substantiate the relation between a VAC’s Entropy, Dilution and Recovery Cost. On these grounds we present the SP’s remarkable and numerous economic properties that make it consistent to its physical foundations; thus integrating concisely its physical and economic aspects and postulate a generalized SP function. We further test econometrically the validity of an SP based on both deterministic and stochastic real data from a small-scale industrial unit of polyphenols’ recovery from natural fruit juice production residual wastewater. In turn, based on the fusion of our theoretical argumentation and empirical findings we dive into the epistemological extensions of the SP. Specifically, we study how the recovery cost structure at the single industry level is revealed by the SP and can be useful for postulating cost structure ontologies. Cost ontologies are in turn useful as a diagnostic of the formation process of VAC recovery markets as well as their structure and concentration, defining the industrial shares when many industries operate in the recovery of the same VAC. 869318