Biljana Abolmasov

ORCID: 0000-0002-5439-2893
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About
Contact & Profiles
Research Areas
  • Landslides and related hazards
  • Flood Risk Assessment and Management
  • Geotechnical Engineering and Analysis
  • 3D Surveying and Cultural Heritage
  • Marine and environmental studies
  • Dam Engineering and Safety
  • Remote Sensing and LiDAR Applications
  • Fire effects on ecosystems
  • Tree Root and Stability Studies
  • Regional Development and Management Studies
  • Rock Mechanics and Modeling
  • Remote Sensing and Land Use
  • Hydrology and Sediment Transport Processes
  • Geophysical Methods and Applications
  • Cryospheric studies and observations
  • Soil erosion and sediment transport
  • Groundwater and Watershed Analysis
  • International Maritime Law Issues
  • Nanowire Synthesis and Applications
  • earthquake and tectonic studies
  • Traffic Prediction and Management Techniques
  • Soil and Land Suitability Analysis
  • Geological Formations and Processes Exploration
  • Infrastructure Resilience and Vulnerability Analysis
  • Semiconductor Quantum Structures and Devices

University of Belgrade
2014-2024

Croatian Geological Survey
2013

Abstract. Torrential floods are the most frequent natural catastrophic events in Serbia, causing loss of human lives and huge material damage, both urban rural areas. The analysis intra-annual distribution maximal discharges aided noticing that torrential have a seasonal character. erosion torrent control works (ETCWs) Serbia began at end 19th century. Effective protection from encompasses biotechnical on slopes watershed technical beds, within precisely defined administrative spatial...

10.5194/nhess-12-23-2012 article EN cc-by Natural hazards and earth system sciences 2012-01-02

In this work, landslide assessment of the Doboj City area was modeled by combining machine learning and heuristic tools. The part used to map Morphometric factor. i.e. probability landslides based on relation between magnitude events morphometric parameters: elevation, distance streams, slope, profile curvature, aspect. Random Forest Support Vector Machines algorithms were implemented in protocol, which included several strategies: balancing training/testing set size, algorithm optimization...

10.1080/17445647.2022.2163199 article EN cc-by Journal of Maps 2023-01-05

Landslide Susceptibility Assessment is becoming a very productive research area, wherein different modeling approaches are practiced to delineate zones of the high-low likelihood landslide occurrence. However, there no strong consensus on which approach most adequate. The reason behind lack general view performance could be partially explained by particularity each study. To evaluate efficiency they need applied under same conditions for study area. Herein, we examined three approaches,...

10.15233/gfz.2017.34.15 article EN Geofizika 2017-01-01

In this paper a heuristic approach for preliminary regional landslide susceptibility assessment using limited amount of data is presented.It called arbitrary polynomial method and takes into account 5 conditioning parameters: lithology, slope inclination, average annual rainfall, land use maximum expected seismic intensity.According to the method, in first stage, gradation performed each carefully selected parameters by assigning so rating points grid cells on which region divided.Values...

10.4154/gc.2019.03 article EN cc-by Geologia Croatica 2019-02-15

Monitoring is important for assessing the stability of ground and confirming validity design during construction operation structures.The ideal monitoring system projects in Rock Geotechnical Engineering would be able to monitor behavior small extensive areas continuously automatically with high accuracy.In addition, costs low easy handle.Satellite technology has potential realize above by combining it conventional geotechnical instruments.In this paper, satellite displacement monitoring,...

10.35123/resylab_2019_27 article EN 2019-10-12
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