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Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks
(IWA Publishing, 2023)
The objective of this research is to propose a novel framework for assessing the consequences of hazardous events on a water resources system using dynamic resilience. Two types of hazardous events were considered: a severe ...
Detecting annual and seasonal hydrological change using marginal distributions of daily flows
(Water, MDPI, 2023)
Changes in the hydrological regime are widely investigated using a variety of approaches. In this study, we assess changes in annual and seasonal flow characteristics based on a probabilistic representation of the seasonal ...
Thermally Activated ZnCr Layered Double Hydroxide Based Photocatalysts:Photocatalytic and Antibacterial Efficiency
(Ca'Foscari University of Venice, 2023)
Geologically-Driven Migration of Landmines and Explosive Remnants of War—A Feature Focusing on the Western Balkans
(MDPI, Basel, Switzerland, 2023)
Landmines and explosive remnants of war are still present in the Western Balkans and remain a deadly legacy of the hostilities at the end of the 20th century. Over the years, several incidents have occurred in Bosnia and ...
Definition of Circulation Conditions and Groundwater Genesis of the Complex Krupaja Hydrogeological Karst System (Eastern Serbia)
(MDPI, 2023)
The complex Krupaja karst system, located in Serbia, which consists of a strong karst spring, a thermal karst spring, and a borehole that captures sub-thermal waters, has been studied. A phenomenon which gives rise to the ...
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 ...
SSIMS-Flow: Image velocimetry workbench for open-channel flow rate estimation
(Elsevier, 2023)
Image-based hydrological measurement techniques have surged in popularity over the last decade, with the most common type of data obtained being the open-channel surface velocity field and flow rate. The lack of a feature-rich ...
Природи блиска решења као одрживе мере за смањење хидрометеоролошких ризика – пример слива реке Тамнаве / Nature based solutions as the sustainable measures for hydrometeorological risk reduction – the Tamnava river case study
(Универзитет у Београду - Факултет безбедности, 2023)
У раду се даје кратак приказ холистичког приступа смањењу ризика од поплава помоћу природи блиских решења. Овакав приступ узима у обзир не само смањење ризика као основни циљ мера заштите од поплава, већ и друге циљеве ...
Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions
(Blue-Green Systems, 2023)
The escalating impacts of climate change trigger the necessity to deal with hydro-meteorological hazards. Nature-based solutions (NBSs) seem to be a suitable response, integrating the hydrology, geomorphology, hydraulic, ...
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 ...