Recent Submissions

  • Deep Learning-Based Wave Overtopping Prediction 

    Alvarellos, Alberto; Figuero, A.; Rodríguez-Yáñez, Santiago; Sande, José; Peña González, Enrique; Rosa-Santos, Paulo; Rabuñal, Juan R. (MDPI, 2024-03-20)
    [Abstract]: This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer ...
  • Size effects on the tensile strength and fracture toughness of granitic rock in different tests 

    Pérez-Rey, Ignacio; Muñoz-Ibáñez, Andrea; González-Fernández, Manuel A.; Muñiz-Menéndez, Mauro; Herbón-Penabad, Miguel; Estévez-Ventosa, Xian; Delgado Martín, Jordi; Alejano, Leandro R. (Elsevier, 2023)
    [Abstract:] This study investigates the tensile failure mechanisms in granitic rock samples at different scales by means of different types of tests. To do that, we have selected a granitic rock type and obtained samples ...
  • Plastic Debris in Lakes and Reservoirs 

    Nava, Verónica; Chandra, Sudeep; Aherne, Julian; Alfonso, María Belén; Antão-Geraldes, Ana Maria; Attermeyer, Katrin; Bao, Roberto; Bartrons, Mireia; Berger, Stella A.; Biernaczyk, Marcin; Bissen, Raphael; Brookes, Justin D.; Brown, David; Cañedo-Argüelles, Miguel; Canle, Moisés; Capelli, Camilla; Carballeira, Rafael; Cereijo Arango, José Luis; Chawchai, Sakonvan; Christensen, Søren Thromsholdt; Christoffersen, Kirsten Seestern; Eyto, Elvira de; Delgado Martín, Jordi; Dornan, Tyler; Doubek, Jonathan; Dusaucy, Julia; Erina, Oxana; Ersoy, Zeynep; Feuchtmayr, Heidrun; Frezzotti, Maria Luce; Galafassi, Silvia; Gateuille, David; Gonçalves, Vítor; Grossart, Hans-Peter; Hamilton, David P.; Harris, Theodore; Kangur, Külli; Başaran Kankılıç, Gökben; Kessler, Rebecca; Kiel, Christine; Krynak, Edward M.; Leiva-Presa, Àngels; Lepori, Fabio; Matias, Miguel G.; Matsuzaki, Shin-ichiro; McElarney, Yvonne; Messyasz, Beata; Mitchell, Mark; Mlambo, Musa C.; Motitsoe, Samuel Nkopane; Nandini, S.; Orlandi, Valentina; Owens, Caroline; Özkundakci, Deniz; Pinnow, Solvig; Pociecha, Agnieszka; Raposeiro, Pedro; Rõõm, Eva-Ingrid; Rotta, Federica; Salmaso, Nico; Sarma, S. S. S.; Sartirana, Davide; Scordo, Facundo; Sibomana, Claver; Siewert, Daniel; Stepanowska, Katarzyna Ewa; Tavşanoğlu, Ülkü Nihan; Tereshina, Maria; Thompson, James; Tolotti, Monica; Valois, Amanda; Verburg, Piet; Welsh, Brittany; Wesolek, Brian; Weyhenmeyer, Gesa; Wu, Naicheng; Zawisza, Edyta; Zink, Lauren; Leoni, Barbara (Springer Nature, 2023)
    [Abstract] Plastic debris is thought to be widespread in freshwater ecosystems globally1. However, a lack of comprehensive and comparable data makes rigorous assessment of its distribution challenging2,3. Here we present ...
  • Urban pluvial flood modelling in the absence of sewer drainage network data: a physics-based approach 

    Montalvo Montenegro, Carlos Israel; Reyes-Silva, Julián David; Sañudo, Esteban; Cea, Luis; Puertas, Jerónimo (Elsevier, 2024)
    [Abstract:] 1D/2D dual drainage models have become one of the most useful tools in the study of urban pluvial floods. However, such models require information about the sewer network that is not always readily available. ...
  • Modelización numérica de inundaciones fluviales 

    Bladé, Ernest; Cea, Luis; Corestein, Georgina (Universitat Politècnica de València, 2014)
    [Resumen:] La modelización numérica del flujo de agua en ríos es una herramienta que ayuda a dar respuesta a la legislación vigente europea y española referida a riesgo de inundación. Los modelos numéricos disponibles ...

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