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A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations
(Copernicus, EGU, 2021)
While the availability and affordability of unmanned aerial systems (UASs) has led to the rapid development of remote sensing applications in hydrology and hydrometry, uncertainties related to such measurements must be ...
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 ...
The feasibility of using copper slag in asphalt mixtures for base and surface layers based on laboratory results
(Construction and Building Materials - Elsevier, 2023)
This study aims to assess the feasibility of using copper slag (CS) in asphalt mixtures in both the surface and base
layers of road pavements. For this purpose, two sets of asphalt mixtures with different CS content (15 ...
Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate
(Elsevier, 2023)
Hydrological climate-change-impact studies depend on climatic variables simulated by climate models. Due to parametrization and numerous simplifications, however, climate-model outputs come with systematic biases compared ...
Wastewater-based epidemiology in countries with poor wastewater treatment — Epidemiological indicator function of SARS-CoV-2 RNA in surface waters
(Elsevier B.V., 2022)
Wastewater-based epidemiology (WBE) surveillance of COVID-19 and other future outbreaks is
a challenge for developing countries as most households are not connected to a sewerage system.
In December 2019, SARS-CoV-2 RNA ...
Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone?
(Elsevier, 2024)
Multi-model combination (averaging) methods (MMCMs) are used to improve the accuracy of hydrological (precipitation-runoff) outputs in simulation or forecasting/prediction modes. In this paper, we examined if the application ...
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 ...
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 ...
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 ...
The 3DNet-Catch hydrologic model: Development and evaluation
(Elsevier B.V., 2019)
Hydrologic models are important for effective water resources management. They vary in complexity from parsimonious, spatially lumped, to physically-based, fully distributed models, which are generally expected to outperform ...