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-1911 Peer reviewed articles 2023 Pellegrino, Andrea, Alice Fabbretto, Mariano Bresciani, Thainara Munhoz Alexandre de Lima, Federica Braga, Nima Pahlevan, Vittorio Ernesto Brando, Susanne Kratzer, Marco Gianinetto, and Claudia Giardino Assessing the Accuracy of PRISMA Standard Reflectance Products in Globally Distributed Aquatic Sites Remote Sensing 10.3390/rs15082163 Uncategorized Natural Water Bodies PRISMA is the Italian Space Agency’s first proof-of-concept hyperspectral mission launched in March 2019. The present work aims to evaluate the accuracy of PRISMA’s standard Level 2d (L2d) products in visible and near-infrared (NIR) spectral regions over water bodies. For this assessment, an analytical comparison was performed with in situ water reflectance available through the ocean color component of the Aerosol Robotic Network (AERONET-OC). In total, 109 cloud-free images over 20 inland and coastal water sites worldwide were available for the match-up analysis, covering a period of three years. The quality of L2d products was further evaluated as a function of ancillary parameters, such as the trophic state of the water, aerosol optical depth (AOD), observation and illumination geometry, and the distance from the coastline (DC). The results showed significant levels of uncertainty in the L2d reflectance products, with median symmetric accuracies (MdSA) varying from 33% in the green to more than 100% in the blue and NIR bands, with higher median uncertainties in oligotrophic waters (MdSA of 85% for the entire spectral range) than in meso-eutrophic (MdSA of 46%) where spectral shapes were retained adequately. Slight variations in the statistical agreement were then noted depending on AOD values, observation and illumination geometry, and DC. Overall, the results indicate that water-specific atmospheric correction algorithms should be developed and tested to fully exploit PRISMA data as a precursor for future operational hyperspectral missions as the standard L2d products are mostly intended for terrestrial applications. 870497
publications-1912 Peer reviewed articles 2022 Bresciani, Mariano, Claudia Giardino, Alice Fabbretto, Andrea Pellegrino, Salvatore Mangano, Gary Free, and Monica Pinardi Application of New Hyperspectral Sensors in the Remote Sensing of Aquatic Ecosystem Health: Exploiting PRISMA and DESIS for Four Italian Lakes Resources 10.3390/resources11020008 Data Management & Analytics Natural Water Bodies The monitoring of water bio-physical parameters and the management of aquatic ecosystems are crucial to cope with the current state of inland water degradation. Not only does water quality monitoring support management decision making, it also provides vital insights to better understand changing structural and functional lake processes. Remote sensing has been widely recognized as an essential integrating technique for water quality monitoring, thanks to its capabilities to utilize both historical archive data for thousands of lakes as well as near-real time observations at multiple scales. To date, most of the applications developed for inland water have been based on multispectral and mid to coarse spatial resolution satellites, while a new generation of spaceborne imaging spectroscopy is now available, and future missions are under development. This review aims to present the exploitation of data gathered from two currently orbiting hyperspectral sensors (i.e., PRISMA and DESIS) to retrieve water quality parameters across different aquatic ecosystems, encompassing deep clear lakes and river dammed reservoirs. 870497
publications-1913 Peer reviewed articles 2023 Lara Agnoli, Erin Urquhart, Nikolaos Georgantzis, Blake Schaeffer, Richard Simmons, Bilqis Hoque, Merrie Beth Neely, Claire Neil, Jacques Oliver, Andrew Tyler Perspectives on user engagement of satellite Earth observation for water quality management Technological Forecasting and Social Change 10.1016/j.techfore.2023.122357 IoT & Sensors Natural Water Bodies No abstract available 870497
publications-1914 Peer reviewed articles 2021  Sapna R. Shinde , Sayali Apte A Systematic Review on Advancements in Drinking Water Disinfection Technologies: A Sustainable Development Perspective Journal of Environmental Treatment Techniques 10.47277/jett/9(2)360 Simulation & Modeling Precipitation & Ecological Systems The Sustainable Development Goal 2015-30, which is the blueprint to achieve a better and sustainable future for all includes goal number six, aiming at the provision of clean water and sanitation by 2030 worldwide. But still the rural areas in developing nations are predominantly facing the scarcity of pathogen-free drinking water, which creates an urgent need for research in the area of water disinfection. The paper presents a systematic literature review of the conventional and novel water disinfection techniques supported by a bibliometric analysis based on the data from Scopus and Web of Science data from the year 1980 to 2020 for all the disinfection techniques. The novel and latest water disinfection technology in the literature studied by few researchers are also discussed and it can be concluded that the research related to these latest technologies is fewer and real-life usage is very scanty. The detailed literature review indicates the need for novel, decentralized, low-cost water disinfection technology for providing clean and pathogen-free water to all, overcoming the problems related to access of safe drinking water to rural communities. The paper also identifies the research gaps related to new technologies for water disinfection which needs to addressed in further studies. 821410
publications-1915 Peer reviewed articles 2020 Vandana Patyal, Dipika Jaspal, Kanchan Khare Wastewater Treatment Technologies: A Bibliometric Analysis Science & Technology Libraries 10.1080/0194262x.2020.1775164 Data Management & Analytics Precipitation & Ecological Systems No abstract available 821410
publications-1916 Peer reviewed articles 2021 Jensen, S.M.; Esposito, C.; Konnerup, D.; Brix, H.; Arias, C.A. Phosphorus recovery from wastewater: bioavailability of P bound to calcareous material for maize (Zea mays L.) growth Recycling 10.3390/recycling6020025 Simulation & Modeling Precipitation & Ecological Systems (1) Phosphorus (P) is an essential plant nutrient, and P deficiency negatively affects plant growth and development. Furthermore, P is a finite and nonrenewable resource, and there is an urgent need to recover P from some of the important waste streams in society. Newly engineered calcareous materials (sol–gel coated cat litter (CATSAN®)) can bind P from wastewater in decentralized treatment systems and potentially enable P recycling into agricultural production by direct addition of the P saturated material. (2) The effects of the addition of two P-enriched calcareous materials as fertilizers for maize (Zea mays L.) growth were investigated in a mesocosm experiment. We compared fertilization with the P-enriched materials at rates of 6, 12, 25, 50, 100 kg P ha−1 yr−1 with fertilization with commercial NPK fertilizer. (3) The P fertilization by the P-enriched materials had a significant positive effect on plant height, biomass, maximum light-saturated photosynthetic rate, respiration rate, and total P content in biomass. However, plants fertilized by the commercial NPK fertilizer performed significantly better in the majority of measured parameters at identical fertilization rates. (4) The bioavailability of the P bound to the calcareous material was very low. However, the studied material has the potential to be used as part of a decentralized treatment solution to remove and subsequently recover and recycle P from wastewater. 821410
publications-1917 Peer reviewed articles 2022 Ortiz, A., Díez-Montero, R., García, J., Kalhil, N., Uggetti, E. Advanced biokinetic and hydrodynamic modelling to support and optimize the design of full-scale high rate algal ponds Computational and Structural Biotechnology Journal 10.1016/j.csbj.2021.12.034 Simulation & Modeling Precipitation & Ecological Systems No abstract available 821410
publications-1918 Peer reviewed articles 2021 Vandana Patyal, Dipika Jaspal, and Kanchan Khare Materials for phosphorous remediation: a review Phosphorus, Sulfur, and Silicon and the Related Elements 10.1080/10426507.2021.1989683 Simulation & Modeling Precipitation & Ecological Systems No abstract available 821410
publications-1919 Peer reviewed articles 2022 Dinesh Kumar Gautam, Prakash Kotecha, Senthilmurugan Subbiah Efficient k-means clustering and greedy selection-based reduction of nodal search space for optimization of sensor placement in the water distribution networks Water Research 10.1016/j.watres.2022.118666 Simulation & Modeling Precipitation & Ecological Systems No abstract available 820881
publications-1920 Peer reviewed articles 2024 Ganbaatar Khurelbaatar, Sara Paola Ramos Rodriguez, Thomas Aubron, Khaja Zillur Rahman, Nadeem Khalil, Manfred van Afferden, Jan Friesen, and Roland Arno Müller Preliminary Planning and Optimization Approach for Wastewater Infrastructure for Regions with Low Data Availability Water 10.3390/w16050694 Simulation & Modeling Precipitation & Ecological Systems For decades, there has been ongoing discussion about whether centralized or decentralized wastewater management systems are better. Decision-makers need to define the best option but do not always have the necessary tools to develop, compare, and identify the most appropriate solution. To address this, studies have been conducted on a settlement level. In this study, the main focus was to develop and optimize wastewater management scenarios for a region containing rural areas, where data scarcity was an issue, by extracting scenario-relevant information from the region using a satellite image and its calibration using locally available data. We selected a study region in India containing 184 villages with a total population of around 210,000 and covering an area of around 400 km2. The study considered three different scenarios for the study area: centralized, decentralized, and an optimized scenario, which consists of a hybrid system involving partly decentralized and partly semi-centralized (clustered) infrastructure. The study developed a systematic approach for defining an optimized cluster of villages by considering the cost trade-off between the wastewater treatment plant (WWTP) capacity and sewer network layout. The results showed that the clustered and decentralized scenarios were nearly equal in terms of cost (around EUR 118 million), while the centralized scenario showed a relatively high cost of EUR 168 million. Potential applications and further development of the method were also considered. The proposed methodology may aid global wastewater management by estimating and optimizing infrastructure costs needed to fulfill Sustainable Development Goal 6 (SDG#6) in rural regions. 821410