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Beata Baziak, Marek Bodziony and Robert Szczepanek
Machine learning models facilitate the search for non-linear relationships when modeling hydrological processes, but they are equally effective for automation at the data preparation stage. The tasks for which automation was analyzed consisted of estimat...
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Christos Makris, Zisis Mallios, Yannis Androulidakis and Yannis Krestenitis
Storm surges due to severe weather events threaten low-land littoral areas by increasing the risk of seawater inundation of coastal floodplains. In this paper, we present recent developments of a numerical modelling system for coastal inundation induced ...
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Khrystyna Burshtynska, Iryna Zayats, Maksym Halochkin, Krzysztof Bakula and Lyubov Babiy
This paper proposes a general methodological approach to hydrological modeling for determining the areas of flooded land in the plain part of the Dniester riverbed, the second largest river in Ukraine. The purpose of the study is the selection of paramet...
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Zhengbing Chen, Jianyin Zhou and Qianhai Chen
The roughness coefficient is a comprehensive parameter reflecting river resistance, which is widely used in the planning and design of river regulation and flood control projects. In recent years, as the upstream water conservancy and hydro-power project...
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Enrique Bonet, Beniamino Russo, Ricard González, Maria Teresa Yubero, Manuel Gómez and Martí Sánchez-Juny
Freshwater scarcity has driven the integration of technological advancements and automation systems in agriculture in order to attempt to improve water-use efficiency. For irrigation canals, water-use efficiency is, in great measure, limited by the perfo...
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Jean Cardi, Antony Dussel, Clara Letessier, Isa Ebtehaj, Silvio Jose Gumiere and Hossein Bonakdari
The Ottawa River Watershed is a vast area that stretches across Ontario and Quebec and holds great importance for Canada?s people, economy, and collective history, both in the present and the future. The river has faced numerous floods in recent years du...
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Anika Manz, Ana Catarina Zózimo and Juan L. Garzon
This work aimed at testing the capability of the numerical model SWASH to be implemented in the prototype of the overtopping and flooding forecast system HIDRALERTA for Ericeira harbour. In contrast to the neural network NN_OVERTOPPING2, which is current...
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Jaime K. Manning, Amy Cosby, Deborah Power, Eloise S. Fogarty and Bobby Harreveld
This systematic review explores the emergence and utilisation of agricultural technology (?AgTech?) in secondary schools globally. A total of 14 studies published between 2000 and 2020, inclusive, were reviewed, each exploring the use of agricultural tec...
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Marco Sinagra, Carmelo Nasello and Tullio Tucciarelli
Propagation of pluvial floods in urban areas, occurring with return time periods of few years, can be well solved using dual models accounting for the mutual relationship between the water level in the streets and the discharges inside the sewer pipes. T...
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Nguyen Xuan Tinh, Hitoshi Tanaka, Xiping Yu and Guangwei Liu
In this study, the tsunami-induced bottom boundary layer was investigated based on actual waveforms obtained by the GPS buoys along the coast of the Tohoku region during the 2011 Great East Japan Earthquake tsunami. The k-? model was utilized for the num...
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