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Pregled bibliografske jedinice broj: 872667

Flood Early Warning in Bridge Management System: from idea to implementation


Kerin, Igor; Bekić, Damir; Michalis, Panagiotis; Šolman, Hrvoje; Cahill, Paul; Gilja, Gordon; Pakrashi, Vikram; Lapthorne, John; McKeogh, Eamon
Flood Early Warning in Bridge Management System: from idea to implementation // Geophysical Research Abstracts Vol. 19 / Töpfer, Natascha ; Feist-Polner, Anna Mirena ; Lange, Svenja ; Wenzel, Anna (ur.).
Göttingen: Copernicus Publications, 2017. EGU2017-2364, 1 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)


CROSBI ID: 872667 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Flood Early Warning in Bridge Management System: from idea to implementation

Autori
Kerin, Igor ; Bekić, Damir ; Michalis, Panagiotis ; Šolman, Hrvoje ; Cahill, Paul ; Gilja, Gordon ; Pakrashi, Vikram ; Lapthorne, John ; McKeogh, Eamon

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
Geophysical Research Abstracts Vol. 19 / Töpfer, Natascha ; Feist-Polner, Anna Mirena ; Lange, Svenja ; Wenzel, Anna - Göttingen : Copernicus Publications, 2017

Skup
European Geosciences Union General Assembly 2017

Mjesto i datum
Beč, Austrija, 23.04.2017. - 28.04.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Flood early warning system, bridge management system, bridge scour

Sažetak
Recent advances in computational speed, cloud systems and GPRS data are some of the factors that have resulted in an increased number of operational and fully automatized Flood Early Warning Systems (FEWS). Flood forecasting is becoming a well-recognised solution for flood management as an indirect measure for minimising the risk should preventive or defence measures prove ineffective or are not feasible for implementation. Public acceptance of FEWS as a standalone solution is still considered to be at low level. Further public engagement regarding engineering risks and providing timely notifications and warnings can, however, establish the true value of such a system to the society in general. Flood risks can be direct, resulting in damage to buildings, infrastructure and natural resources, or indirect, which can be related to disaster losses leading to declines in commercial output or revenue and impact on wellbeing of people, typically from disruptions to the flow of goods and services. Flood risk and structural risks are closely related, thereby impacting the maintenance and management of bridges assets over watercourses. Many studies indicate that most bridge collapses are related to hydraulic effects and consequently scour issues (i.e. the removal of riverbed around bridge foundations due to flowing water). Consequently, hydraulic, hydrologic and geotechnical expertise and knowledge can lead to introducing FEWS as a key tool for Bridge Scour Management System (BSMS), forming a part of a BMS. The implementation of this concept was initiated with the EU/FP7 funded project BRIDGE SMS. The project introduces BSMS into the overall BMS to develop a reliable decision support tool which would efficiently manage bridge failure risks in a cost-effective way. This is accomplished through the development of FEWS, alongside monitoring systems that can provide important information about environmental and structural conditions at the catchment area and bridge site respectively. The recorded rainfall from instrumentation deployed over a catchment is used as input data for hydrological modelling and now-casting, which results in flow hydrographs at the bridge containing flow rates and water level information. Soil moisture data is also used to determine the appropriate hydrological model set-up, such as dry, medium or saturated catchment conditions. The output from the hydrological model is a now-cast flow hydrograph, with a lag time of up to 24 hours. Discharge hydrograph is correlated to water levels using an existing rating curve and to the flow velocity using discharge-flow velocity curve. Water levels and flow rates are correlated to the flow velocity which provide the basis for the prediction of scour depth. FEWS in BMS introduces readiness for extreme flood events, pointing out key indicators prior to an event. Also, by considering climate change effects which is resulting in more extreme weather phenomena’s, FEWS provides important information about bridge safety and assists to coordinate resources in an efficient and cost- effective way.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Geofizika, Građevinarstvo



POVEZANOST RADA


Projekti:
082-0000000-3246 - Međudjelovanje hidromelioracijskih sustava i okolišnih čimbenika (Kuspilić, Neven, MZOS ) ( CroRIS)

Ustanove:
Građevinski fakultet, Zagreb

Profili:

Avatar Url Damir Bekić (autor)

Avatar Url Gordon Gilja (autor)

Citiraj ovu publikaciju:

Kerin, Igor; Bekić, Damir; Michalis, Panagiotis; Šolman, Hrvoje; Cahill, Paul; Gilja, Gordon; Pakrashi, Vikram; Lapthorne, John; McKeogh, Eamon
Flood Early Warning in Bridge Management System: from idea to implementation // Geophysical Research Abstracts Vol. 19 / Töpfer, Natascha ; Feist-Polner, Anna Mirena ; Lange, Svenja ; Wenzel, Anna (ur.).
Göttingen: Copernicus Publications, 2017. EGU2017-2364, 1 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)
Kerin, I., Bekić, D., Michalis, P., Šolman, H., Cahill, P., Gilja, G., Pakrashi, V., Lapthorne, J. & McKeogh, E. (2017) Flood Early Warning in Bridge Management System: from idea to implementation. U: Töpfer, N., Feist-Polner, A., Lange, S. & Wenzel, A. (ur.)Geophysical Research Abstracts Vol. 19.
@article{article, author = {Kerin, Igor and Beki\'{c}, Damir and Michalis, Panagiotis and \v{S}olman, Hrvoje and Cahill, Paul and Gilja, Gordon and Pakrashi, Vikram and Lapthorne, John and McKeogh, Eamon}, year = {2017}, pages = {1}, chapter = {EGU2017-2364}, keywords = {Flood early warning system, bridge management system, bridge scour}, title = {Flood Early Warning in Bridge Management System: from idea to implementation}, keyword = {Flood early warning system, bridge management system, bridge scour}, publisher = {Copernicus Publications}, publisherplace = {Be\v{c}, Austrija}, chapternumber = {EGU2017-2364} }
@article{article, author = {Kerin, Igor and Beki\'{c}, Damir and Michalis, Panagiotis and \v{S}olman, Hrvoje and Cahill, Paul and Gilja, Gordon and Pakrashi, Vikram and Lapthorne, John and McKeogh, Eamon}, year = {2017}, pages = {1}, chapter = {EGU2017-2364}, keywords = {Flood early warning system, bridge management system, bridge scour}, title = {Flood Early Warning in Bridge Management System: from idea to implementation}, keyword = {Flood early warning system, bridge management system, bridge scour}, publisher = {Copernicus Publications}, publisherplace = {Be\v{c}, Austrija}, chapternumber = {EGU2017-2364} }




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