Overview
I hold an MSc in Civil Engineering from the University of Belgrade. After graduating, I was awarded a national scholarship for attending an international specialisation in water resources management and environmental engineering. My research dissertation critically examined flood management practices in Serbia by focusing on the extreme floods of 2006 in the lower Danube region.
From 2009 to 2016, I worked as a flood protection engineer in Serbian Waters, public water management company. On a day-to-day basis, I was dealing with various aspects of flood risk management in Serbia. For instance, I was actively involved in the production of flood hazard and vulnerability maps, led designs and implementation of structural and non-structural mitigation works of catchments exposed to riverine and flood hazards, and guided risk communication with national and regional media.
In 2016, I was awarded a full scholarship to pursue a Ph.D., in which I death with assessing the impact of new woodland creation in a small Scottish catchment in the Menstrie River Basin, frequently exposed to flash flooding. As part of the research, I am doing extensive field surveys, collecting and analyzing data for understanding the physical processes characterizing flash flooding in the catchment (e.g. overland flow, sediment runoff and loading, debris movement and delivery) which serves a basis for the development of a hydrological model. Throughout my Ph.D., I was focused on nature-based solutions for disaster risk reduction and climate change reduction, a topic that is receiving increased attention within policymakers, practitioners, and academics.
As logical step forward, on the end of my PhD journey, In December 2020, I joined University of Exeter as research associate at SENSUM project (Smart SENSing of landscapes Undergoing hazardous hydrogeologic Movement).
Broad research specialisms:
Forest hydrology / Sediment movement
Qualifications
Academic Specialization in Water Resources and Environmental Engineering, University of Belgrade
BSc and MSc in Civil Engineering, University of Belgrade, Serbia
Links
Publications
Key publications | Publications by category | Publications by year
Publications by year
In Press
Egedusevic M, Bennett G, Roskilly K, Sgarabotto A, Manzella I, Raby A, Boulton SJ, Clark M, Curtis R, Panici D, et al (In Press). Monitoring the stability of leaky dams and their influence on debris transport with innovative sensor technology on the SENSUM project.
Abstract:
Monitoring the stability of leaky dams and their influence on debris transport with innovative sensor technology on the SENSUM project
<p>Woody debris dams/leaky dams are an increasingly popular Natural Flood Management (NFM) measure in low order tributaries, with preliminary evidence suggesting that they are effective in attenuating flood peaks and reducing flood risk. However, the stability of these dams is not widely monitored, and thus there is a poor evidence base for best design practice with respect to the long-term integrity of such features. This is particularly pertinent given the threat posed to downstream infrastructure by woody debris carried in floodwaters after potentially catastrophic dam failure. There is also a lack of research into how effective dams of different designs are at holding back large wood and sediment transported by the flow and reducing the impact of flood debris on downstream infrastructure, including bridges, culverts etc. In the SENSUM project (Smart SENSing of landscapes Undergoing hazardous hydrogeomorphic Movement, https://sensum.ac.uk), we are developing and applying innovative sensor technology to assess the stability of different woody debris dam designs and build an evidence base to inform policy on this NFM practice locally and nationally. We also use these sensors to track woody debris and assess how effective dams are at trapping and retaining large wood debris and cobble-sized sediment. This paper addresses these questions at several field sites across the UK and in laboratory experiments to report quantitative data which evaluate the literal success/failure of NFM interventions and how these may impact the future design of such approaches.</p>
Abstract.
Roskilly K, Bennett G, Curtis R, Egedusevic M, Jones J, Whitworth M, Dini B, Luo C, Manzella I, Franco A, et al (In Press). SENSUM project, Smart SENSing of landscapes Undergoing hazardous hydrogeomorphic Movement.
Abstract:
SENSUM project, Smart SENSing of landscapes Undergoing hazardous hydrogeomorphic Movement
<p>An increase in storminess under climate change and population pressure are resulting in an increase in landslide and flood events, in the UK and globally, and threatening the defences put in place to mitigate these hazards. Monitoring of unstable hillslopes and flood-prone rivers as well as structures designed to protect these is vital. Furthermore, as landslides and floods are both triggered by heavy rainfall, often occurring simultaneously, and may interact to generate cascading hazards, we need integrated approaches for their management.</p><p>A key objective of the SENSUM project (Smart SENSing of landscapes Undergoing hazardous hydrogeomorphic Movement, https://sensum.ac.uk) is to develop a smart sensor to be embedded within boulder and wood debris in landslide and flood prone sites to detect and track hazardous movement. These low-power, low-cost devices communicate this in near real time via Internet of Things networks. Several wireless sensor networks (WSNs) have been installed on landslides and in flood-prone rivers around the UK, involving insertion of devices into debris, installation of long-range wireless network gateways, and camera installation for validation of movements. The developed system architecture also permits straightforward integration of additional third-party sensors and open data. We aim to build a dataset with which hazardous movement can be detected using machine learning and communicated in near real time via alerts and web services to relevant stakeholders. This effort will be complemented by laboratory experiments.</p>
Abstract.
Martina_Egedusevic Details from cache as at 2022-07-06 09:31:16
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