IFKIS-Hydro: an early warning and information system for floods and debris flows

Romang, Hans; Zappa, Massimiliano; Hilker, Nadine; Gerber, Matthias; Dufour, François; Frède, Valérie; Berod, Dominique; Oplatka, Matthias; Hegg, C.; Rhyner, Jakob

doi:10.1007/s11069-010-9507-8

Cited by 40 publications

(20 citation statements)

References 27 publications

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“…In 2008, an early warning system (EWS IFKIS Hydro Sihl) has been installed along the Sihl River valley (Romang et al, 2011;Bruen et al, 2010). The EWS IFKIS is a hydro-meteorological ensemble prediction system based on atmospheric forecasts provided by the (deterministic) model COSMO-7 and the (probabilistic) model COSMO-LEPS.…”

Section: Baseline and Alternative Hazard Scenariosmentioning

confidence: 99%

KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study

Ronco

Bullo

Torresan

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. The aim of this paper is the application of the KULTURisk regional risk assessment (KR-RRA) methodology, presented in the companion paper (Part 1, Ronco et al., 2014), to the Sihl River basin, in northern Switzerland. Flood-related risks have been assessed for different receptors lying on the Sihl River valley including Zurich, which represents a typical case of river flooding in an urban area, by calibrating the methodology to the site-specific context and features. Risk maps and statistics have been developed using a 300-year return period scenario for six relevant targets exposed to flood risk: people; economic activities: buildings, infrastructure and agriculture; natural and semi-natural systems; and cultural heritage. Finally, the total risk index map has been produced to visualize the spatial pattern of flood risk within the target area and, therefore, to identify and rank areas and hotspots at risk by means of multi-criteria decision analysis (MCDA) tools. Through a tailored participatory approach, risk maps supplement the consideration of technical experts with the (essential) point of view of relevant stakeholders for the appraisal of the specific scores weighting for the different receptor-relative risks. The total risk maps obtained for the Sihl River case study are associated with the lower classes of risk. In general, higher (relative) risk scores are spatially concentrated in the deeply urbanized city centre and areas that lie just above to river course. Here, predicted injuries and potential fatalities are mainly due to high population density and to the presence of vulnerable people; flooded buildings are mainly classified as continuous and discontinuous urban fabric; flooded roads, pathways and railways, most of them in regards to the Zurich central station (Hauptbahnhof) are at high risk of inundation, causing severe indirect damage. Moreover, the risk pattern for agriculture, natural and semi-natural systems and cultural heritage is relatively less important mainly because the scattered presence of these assets. Finally, the application of the KR-RRA methodology to the Sihl River case study, as well as to several other sites across Europe (not presented here), has demonstrated its flexibility and the possible adaptation of it to different geographical and socioeconomic contexts, depending on data availability and particulars of the sites, and for other (hazard) scenarios.

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Section: Baseline and Alternative Hazard Scenariosmentioning

confidence: 99%

KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study

Ronco

Bullo

Torresan

et al. 2015

Hydrol. Earth Syst. Sci.

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“…Recent applications include flood estimation (Viviroli et al, 2009b,c;Viviroli and Weingartner, 2011), studies of climate and land use change impacts on flood and low flow hydrology (Addor et al, 2014;Bosshard et al, 2014;Köplin et al, 2012Köplin et al, , 2013Köplin et al, , 2014aMeyer et al, 2011;Schattan et al, 2013) as well as flood, drought and water resources forecasting at various lead times (Addor et al, 2011;Fundel and Zappa, 2011;Fundel et al, 2013;Jörg-Hess et al, 2014;Liechti et al, 2013;Romang et al, 2011;Zappa et al, 2014).…”

Section: Experimental Basismentioning

confidence: 99%

Can a regionalized model parameterisation be improved with a limited number of runoff measurements?

Viviroli

Seibert

2015

Journal of Hydrology

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“…A particularly interesting example of a testbed implementation is related to the construction of the Zurich railway station underground extension that involved closing 2 of 5 gates through which the river Sihl flows under the railway station (Romang et al, 2010). A hydrometeorological forecasting service started in mid 2008 to run for three years and deliver medium-range probabilistic forecasts of the flow of river Sihl to support the planning of construction work in the river.…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems

Rossa¹,

Liechti

Zappa

et al. 2011

Atmospheric Research

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Publication informationAtmospheric Research, 100 (2-3): 150-167Publisher Elsevier This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT AbstractQuantifying uncertainty in flood forecasting is a difficult task, given the multiple and strongly nonlinear model components involved in such a system. Much effort has been and is being invested in the quest of dealing with uncertain precipitation observations and forecasts and the propagation of such uncertainties through hydrological and hydraulic models predicting river discharges and risk for inundation. The COST 731 Action is one of these and constitutes a European initiative which deals with the quantification of forecast uncertainty in hydro-meteorological forecast systems.COST 731 addresses three major lines of development: (1) combining meteorological and hydrological models to form a forecast chain, (2) propagating uncertainty information through this chain and make it available to end users in a suitable form, (3)

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IFKIS-Hydro: an early warning and information system for floods and debris flows

Cited by 40 publications

References 27 publications

KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study

KULTURisk regional risk assessment methodology for water-related natural hazards – Part 2: Application to the Zurich case study

Can a regionalized model parameterisation be improved with a limited number of runoff measurements?

The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems

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