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Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains
(Springer, 2023)
This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number ...
Research in computing‑intensive simulations for nature‑oriented civil‑engineering and related scientific fields, using machine learning and big data: an overview of open problems
(Springer, 2023)
This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of ...
Methodology for deriving synthetic meteorological droughts and its application for Budapest
(Quarterly Journal of the Hungarian Meteorological Service (Időjárás), 2019)
In the recent years, nearly every part of Central Europe and the Balkans has
experienced periods of reduced precipitation that can lead to droughts. Because of the
complexity of the phenomenon and the different points ...
Evaluating the transferability of monthly water balance models under changing climate conditions
(Taylor&Francis, 2020)
Monthly water balance models (MWBMs) are often used for making flow projections under climate change. As such, these models should provide accurate flow simulations; however, they are seldom evaluated in this regard. This ...
Advancing traditional strategies for testing hydrological model fitness in a changing climate
(Taylor & Francis, 2022)
Mitigation of adverse effects of global warming relies on accurate flow projections under climate change. These projections usually focus on changes in hydrological signatures, such as 100-year floods, which are estimated ...
Further insight into the mechanism of heavy metals partitioning in stormwater runoff
(Academic Press, 2016)
Various particles and materials, including pollutants, deposited on urban surfaces are washed off by stormwater runoff during rain events. The interactions between the solid and dissolved compounds in stormwater runoff are ...
Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate
(Elsevier, 2022)
For climate-change impact studies at the catchment scale, meteorological variables are typically extracted from ensemble simulations provided by global and regional climate models, which are then downscaled and bias-adjusted ...
Streamflow droughts in Sweden: Spatiotemporal patterns emerging from six decades of observations
(Elsevier, 2022)
Study focus:
Although Sweden has historically been a country abundant with water, observed changes in temperature and precipitation patterns during the past century have perturbed regional hydrologic regimes, including ...
Future Drought Propagation through the Water-Energy-Food-Ecosystem Nexus – a Nordic Perspective
(Elsevier, 2022)
Droughts can affect a multitude of public and private sectors, with impacts developing slowly over time. While droughts are traditionally quantified in relation to the hydrological components of the water cycle that they ...
Multicriteria optimization of natural and recycled aggregate concrete for structural use
(Elsevier Ltd, 2015)
Recycling of concrete waste to produce recycled concrete aggregates (RCA) and its use in the production of structural concrete is the way towards reducing the depletion of natural mineral resources and the amount of ...