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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 ...
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 ...
Chebyshev polynomials and r-circulant matrices
(Applied Mathematics and Computation, 2022)
This paper connects two attractive topics in applied mathematics, r-circulant matrices and the
Chebyshev polynomials. The r-circulant matrices whose entries are the Chebyshev polynomials
of the first or second kind are ...
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 ...
A note on r-circulant matrices involving generalized Narayana numbers
(Journal of Mathematical Inequalities, 2023)
In order to further connect structured matrices and integer sequences, r-circulant matrices involving the generalized Narayana numbers are considered. Estimates for spectral norms bounds of such matrices are presented and ...
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 ...
Practical ANN prediction models for the axial capacity of square CFST columns
(Springer, 2023)
In this study, two machine-learning algorithms based on the artificial neural network
(ANN) model are proposed to estimate the ultimate compressive strength of square
concrete-filled steel tubular columns. The development ...
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 ...
Prediction model for calculation of the limestone powder concrete carbonation depth
(Elsevier Ltd, 2024)
The efficient way to mitigate the impact of the concrete industry on climate change is to reduce the clinker content in the concrete mix. Beside incorporating supplementary cementitious materials (SCMs), it is possible to ...
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 ...