Article
Environmental Sciences
Diana Derepasko, Francisco J. Penas, Jose Barquin, Martin Volk
Summary: Adaptive water management is crucial for addressing the uncertainty of decision consequences in river management. By incorporating environmental flows into decision-making processes, water demand can be met, but the volume of water available for diversion varies daily. This approach can be applied to different study areas and inform decision makers in engaging with all stages of adaptive water management cycle.
Article
Ecology
Qingyi Luo, Ming-Chih Chiu, Lu Tan, Qinghua Cai
Summary: The study developed a robust environmental flow framework to provide scientific evidence for sustainable water resource management, assessing the ecological water requirements and optimal environmental flow of Baetis in the Xiangxi River Basin during dry and wet seasons over multiple years. The results demonstrated seasonal differences in water needs for the macroinvertebrate taxon Baetis, with higher requirements during the wet season compared to the dry season.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2021)
Article
Computer Science, Information Systems
Osama S. Faragallah, Heba El-Hoseny, Walid El-Shafai, Wael Abd El-Rahman, Hala S. El-sayed, El-Sayed El-Rabaie, Fathi Abd El-Samie, Korany R. Mahmoud, Gamal G. N. Geweid
Summary: This article proposes a complete fusion system for medical images based on multi-resolution, multi-scale transforms, and an optimized algorithm. The system achieves optimal matching between input images and minimal artifacts through four stages, and enhances image clarity and visualization using adaptive histogram equalization and histogram matching. Experimental results demonstrate that the proposed fusion algorithms perform well in terms of image quality and can aid in disease diagnosis.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Dimitra-Christina C. Koutsiou, Michalis A. Savelonas, Dimitris K. Iakovidis
Summary: This paper proposes a novel and efficient unsupervised methodology for shadow removal, based solely on color image features. It automatically extracts shadow regions using an Electromagnetic-Like Optimization segmentation algorithm, and identifies pairs of shadowed and non-shadowed regions as parts of the same object based on color content. The shadowed part of each pair is relighted through histogram matching with its non-shadowed counterpart. Quantitative and qualitative experiments on benchmark datasets validate the efficiency and effectiveness of the proposed methodology, showing that complex deep learning-based solutions are not necessarily required for solving shadow removal.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Environmental Sciences
Ashish Kumar, Vinod Kumar Tripathi, Pradeep Kumar, Amitava Rakshit
Summary: In the last century, the construction of dams and diversions has caused water impoundment upstream and frequent drought conditions downstream. This study analyzes the trend and alteration of river flow after the construction of Isapur and Arunavati dams, and finds that the Isapur dam has a greater impact on flow regime change.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Aerospace
David Bacci, Ioannis Vagias
Summary: Numerical aerodynamic and radar analyses were conducted on 3 low-radar cross-section airframes derived from the AVT-183 diamond wing, with the aim of improving lateral and directional characteristics while minimizing the deterioration of radar signature characteristics. The analyses were performed at a Mach number of 0.30, covering a range of angles of attack and angles of sideslip. Monostatic radar cross-section analysis was conducted in L and X bands. The study explored the trade-off between radar signature control and the spin/departure requirements typical of air-superiority combat aircraft, and identified several configurations that improved stability while maintaining acceptable radar signature.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Civil
Manvitha Molakala, Riddhi Singh
Summary: This study proposes a conceptual framework to quantify the contribution of water from different basins to various reservoir-related fluxes in a multi-reservoir system. It applies this framework to a water transfer project in southern India and finds that the transferred water mainly caters to the additional demands of the recipient reservoir, with little contribution to downstream environmental flows.
JOURNAL OF HYDROLOGY
(2023)
Article
Computer Science, Cybernetics
Yunkai Lou, Chaokun Wang
Summary: This article aims to find optimization methods effective for different subgraph matching algorithms, proposing an efficient generalized community-structure-aware optimization framework (GCF). The GCF framework can significantly reduce the time consumption of existing subgraph matching algorithms and has considerable scalability, as demonstrated in experiments.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Moritz Reese
Summary: The article discusses the requirements of the EU Water Framework Directive on water management by Member States and argues for the deduction of minimum requirements from a legal perspective. It highlights the need for improvements in planning and implementing restoration measures, land acquisition, organization, and finance by Member States.
Article
Environmental Sciences
Dean Leverett, Graham Merrington, Mark Crane, Jim Ryan, Iain Wilson
Summary: Diclofenac is a widely detected pharmaceutical substance in European water bodies, with limited veterinary uses in Europe and wastewater being the main exposure pathway. The European Commission prefers a deterministic approach for deriving Environmental Quality Standards, while this paper suggests using an evidence-driven probabilistic approach instead.
ENVIRONMENTAL SCIENCES EUROPE
(2021)
Article
Mechanics
Stefania Sansone, D. Zugliani, G. Rosatti
Summary: This study analyzes the mathematical models of rock-ice avalanches and proposes a framework for simplified models, which streamline the description of the melting process for easier interpretation and application. The research findings reveal that models of different categories exhibit variations in mathematical properties, requiring further investigation into their causes and numerical implications.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Environmental Sciences
Elisa Soana, Elisa Anna Fano, Giuseppe Castaldelli
Summary: Research shows that managing in-stream vegetation in agricultural waters can effectively reduce nitrate pollution, thus protecting water quality in coastal areas.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Review
Environmental Sciences
Ioannis Chronis, Sofia Kalogeropoulou, Constantinos S. Psomopoulos
Summary: The advancements in electricity production and distribution, along with the increasing consumption of electrical energy, have made electrical equipment an essential part of the technological infrastructure. Main challenges in electrical transformers include reducing power losses, utilizing construction materials with minimal environmental impact, and extending their service life. Mineral-based insulating oils in transformers are almost fully recyclable but not biodegradable or environmentally friendly, while bio-based lubricants offer a sustainable solution with biodegradability and renewable properties.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Gerd Maack, Lauri Aysto, Mario Carere, Henning Clausen, Alice James, Marion Junghans, Ville Junttila, Juliane Hollender, Dimitar Marinov, Gerard Stroomberg, Rita Triebskorn, Eric Verbruggen, Teresa Lettieri
Summary: This response addresses the criticism raised by Leverett et al. regarding the environmental quality standard for diclofenac and highlights the lack of transparency and potential conflict of interest in their competing interests statement.
ENVIRONMENTAL SCIENCES EUROPE
(2022)
Article
Geochemistry & Geophysics
Charalampos Skoulikaris
Summary: Proxy data and qualitative information play important roles in water resources and floods management. This research evaluates river water bodies in Greece with characteristic toponyms, comparing them to the implementation of the European Union's Water Framework and Flood Directives. It finds a high degree of correlation between toponyms and water quality and floods, with almost 90% of the water bodies with characteristic names being intermittent and ephemeral ones.
Article
Engineering, Civil
F. Dell'Aira, A. Cancelliere, E. Creaco, G. Pezzinga
Summary: This study presents a comprehensive approach to address the design and rehabilitation of water distribution networks, considering the evolution of urban areas and aging phenomena. By solving a multiobjective optimization problem, optimal intervention schedules can be found to reduce failure costs in the short term.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2021)
Article
Environmental Sciences
Nunziarita Palazzolo, David J. Peres, Massimiliano Bordoni, Claudia Meisina, Enrico Creaco, Antonino Cancelliere
Summary: This study compares 1D infinite slope and 3D slope stability analysis by calibrating the SCOOPS 3D model with genetic algorithms, showing better performance of the 3D model in terms of ROC statistics. Results indicate that in a specific case study, the 3D model performs even better than other studies present in the scientific literature to date.
Article
Engineering, Geological
David J. Peres, Antonino Cancelliere
Summary: Thresholds for rainfall intensity-duration landslide-triggering can be determined through three types of rainfall event datasets: triggering, non-triggering, or both. Comparison of these methods based on statistical properties shows that using both triggering and non-triggering rainfall data is the most effective, providing a balance between correct predictions and robustness, though requiring a large sample size.
Article
Environmental Sciences
Tagele Mossie Aschale, Guido Sciuto, David J. Peres, Aurora Gullotta, Antonino Cancelliere
Summary: This study evaluated the performance of various empirical methods for estimating reference evapotranspiration and found that methods based on temperature and radiation showed good performance at the study site, with the PT method being the most reliable.
Article
Environmental Sciences
Tagele Mossie Aschale, David J. Peres, Aurora Gullotta, Guido Sciuto, Antonino Cancelliere
Summary: Investigating the trends and sensitivity of reference evapotranspiration (ETo) to meteorological variables is important for water resource management and climate variability analysis. This study analyzed a 17-year dataset from a Mediterranean climate region and found a downward trend in ETo in November, as well as downward trends in solar radiation and rainfall during autumn. Other meteorological variables showed an upward trend, with specific humidity and wind speed having the highest and lowest contribution to ETo trends, respectively.
Editorial Material
Geosciences, Multidisciplinary
Chao Zhou, Ying Cao, David J. Peres, Kunlong Yin, Bo Chai
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Water Resources
David J. Peres, Brunella Bonaccorso, Nunziarita Palazzolo, Antonino Cancelliere, Giuseppe Mendicino, Alfonso Senatore
Summary: In this study, a dynamic approach is introduced to assess the impact of future climate change on drought. The results indicate that Southern Italy is likely to experience an increase in drought events due to climate change. The findings highlight the need for revised drought identification strategies that account for non-stationarity in climate.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Environmental Sciences
Tagele Mossie Aschale, Nunziarita Palazzolo, David J. Peres, Guido Sciuto, Antonino Cancelliere
Summary: Climate change and rising temperatures can lead to an increase in evapotranspiration, making the assessment of potential evapotranspiration (PET) trends crucial for identifying climate change signals and improving water resource management and irrigation efficiency. This study examines PET trends in Sicily, Italy using data from 46 meteorological stations over a 21-year period. The findings show that while there are significant monthly PET trends in many locations, only a few locations exhibit significant annual trends. The study's results contribute to climate change adaptation strategies in the region.
Article
Engineering, Geological
Pierpaolo Distefano, David J. Peres, Luca Piciullo, Nunziarita Palazzolo, Pietro Scandura, Antonino Cancelliere
Summary: Landslide prediction plays a crucial role in early warning systems, and this study develops artificial neural networks (ANNs) using soil moisture data and precipitation to identify landslide triggering conditions. Two case studies are conducted in Sicily, Italy and Bergen area, Norway, to test the proposed approach under different climatic and geomorphological conditions. The results demonstrate that using soil moisture data in addition to precipitation can significantly improve landslide prediction accuracy.
Article
Environmental Sciences
Nunziarita Palazzolo, David J. Peres, Brunella Bonaccorso, Antonino Cancelliere
Summary: Assessing and monitoring the spatial extent of drought is important for forecasting drought conditions and taking preventive measures. A commonly used approach is to interpolate meteorological variables or drought indices for specific locations. However, this approach lacks a probabilistic characterization of the severity of spatial drought conditions.
Article
Geosciences, Multidisciplinary
Nunziarita Palazzolo, David J. J. Peres, Enrico Creaco, Antonino Cancelliere
Summary: For landslide early warning systems, using two-dimensional hydrometeorological thresholds based on multi-layered soil moisture information is a new and more accurate approach. The use of PCA and a piecewise linear equation allows for more precise determination of the threshold's shape, leading to higher accuracy in landslide triggering prediction. Test results in the Sicily region show that the proposed hydrometeorological thresholds outperform traditional rainfall-based thresholds in terms of true skill statistic (TSS).
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Pierpaolo Distefano, David J. Peres, Pietro Scandura, Antonino Cancelliere
Summary: In this study, the use of artificial neural networks (ANNs) is shown to enhance the performance of rainfall thresholds for landslide early warning. By incorporating additional variables like peak rainfall intensity, further improvements in performance were achieved. This could potentially encourage more research on utilizing ANNs for deriving landslide early warning thresholds.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Proceedings Paper
Engineering, Environmental
David J. Peres, Antonino Cancelliere
Summary: Citrus production in Sicily faces water scarcity and drought issues, making it crucial to improve irrigation efficiency. Various technologies including tensiometers, flowmeters, and drones with thermal or multispectral cameras are being utilized to monitor plant stress and enhance orchard management. Specific vegetation indices like NDVI, GNDVI, and SIPI2 have been identified as effective tools for identifying areas in orchards that require adjustments in irrigation water, ultimately improving orchard management and potentially irrigation efficiency.
WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2021: PLANNING A RESILIENT FUTURE ALONG AMERICA'S FRESHWATERS
(2021)