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Stochastic flood forecasting system[electronic resource] :the Middle River Vistula case study /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	551.4890112
書名/作者:	Stochastic flood forecasting system : the Middle River Vistula case study // edited by Renata J. Romanowicz, Marzena Osuch.
其他作者:	Romanowicz, Renata J.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xvi, 198 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Flood forecasting - Statistical methods.
標題:	Flood forecasting - Poland
標題:	Earth Sciences.
標題:	Geophysics/Geodesy.
標題:	Geotechnical Engineering & Applied Earth Sciences.
標題:	Geoecology/Natural Processes.
ISBN:	9783319188546 (electronic bk.)
ISBN:	9783319188539 (paper)
內容註:	Land 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.
摘要、提要註:	This 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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-18854-6

Stochastic flood forecasting system[electronic resource] :the Middle River Vistula case study /
Stochastic flood forecasting systemthe Middle River Vistula case study /[electronic resource] :edited by Renata J. Romanowicz, Marzena Osuch. - Cham :Springer International Publishing :2015. - xvi, 198 p. :ill. (some col.), digital ;24 cm. - GeoPlanet: earth and planetary sciences,2190-5193. - GeoPlanet: earth and planetary sciences..

Land 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.

This 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.

ISBN: 9783319188546 (electronic bk.)

Standard No.: 10.1007/978-3-319-18854-6doiSubjects--Topical Terms:

627168
Flood forecasting
--Statistical methods.

LC Class. No.: GB1399.5.P7

Dewey Class. No.: 551.4890112

Stochastic flood forecasting system[electronic resource] :the Middle River Vistula case study /
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