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000727958 020__ $$a9783319188546$$qelectronic book
000727958 020__ $$a3319188542$$qelectronic book
000727958 020__ $$z9783319188539
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000727958 050_4 $$aGB1399.5.P7
000727958 08204 $$a551.48/90112$$223
000727958 24500 $$aStochastic flood forecasting system$$h[electronic resource] :$$bthe Middle River Vistula case study /$$cRenata J. Romanowicz, Marzena Osuch, editors.
000727958 264_1 $$aCham :$$bSpringer,$$c2015.
000727958 300__ $$a1 online resource (xvi, 198 pages) :$$billustrations.
000727958 336__ $$atext$$btxt$$2rdacontent
000727958 337__ $$acomputer$$bc$$2rdamedia
000727958 338__ $$aonline resource$$bcr$$2rdacarrier
000727958 4901_ $$aGeoPlanet
000727958 504__ $$aIncludes bibliographical references.
000727958 5050_ $$aLand cover change in the Middle River Vistula catchment -- Influence of land-use and water management practices on flows in the middle River Vistula -- Analysis of impact of climate variability on extreme flows in the Middle Vistula Basin -- The bed topography and discharge measurements at the Świderskie Islands Nature Reserve, the Vistula River, Poland -- Rainfall-runoff modelling of the middle River Vistula tributaries -- Distributed modelling of flow in the Middle River Vistula -- Sensitivity analysis of the distributed flow routing model for middle River Vistula -- multi-method approach -- Influence of channel processes and vegetation in the Vistula river valley in Warsaw on flood safety -- Semi-distributed flood forecasting system for the River Vistula reach -- Stochastic transfer function based emulator for the on-line flow forecasting.
000727958 506__ $$aAccess limited to authorized users.
000727958 520__ $$aThis book presents the novel formulation and development of a Stochastic Flood Forecasting System, using the Middle River Vistula basin in Poland as a case study. The system has a modular structure, including models describing the rainfall-runoff and snow-melt processes for tributary catchments and the transformation of a flood wave within the reach. The sensitivity and uncertainty analysis of the elements of the study system are performed at both the calibration and verification stages. The spatial and temporal variability of catchment land use and river flow regime based on analytical studies and measurements is presented. A lumped parameter approximation to the distributed modelling of river flow is developed for the purpose of flow forecasting. Control System based emulators (Hammerstein-Wiener models) are applied to on-line data assimilation. Medium-range probabilistic weather forecasts (ECMWF) and on-line observations of temperature, precipitation and water levels are used to prolong the forecast lead time. The potential end-users will also benefit from a description of social vulnerability to natural hazards in the study area.
000727958 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 8, 2015).
000727958 650_0 $$aFlood forecasting$$xStatistical methods.
000727958 650_0 $$aFlood forecasting$$zPoland$$zVistula River.
000727958 7001_ $$aRomanowicz, Renata,$$eeditor.
000727958 7001_ $$aOsuch, Marzena,$$eeditors.
000727958 830_0 $$aGeoPlanet.
000727958 852__ $$bebk
000727958 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-18854-6$$zOnline Access$$91397441.1
000727958 909CO $$ooai:library.usi.edu:727958$$pGLOBAL_SET
000727958 980__ $$aEBOOK
000727958 980__ $$aBIB
000727958 982__ $$aEbook
000727958 983__ $$aOnline
000727958 994__ $$a92$$bISE