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Stochastic flood forecasting system :
详细信息    Stochastic flood forecasting system :
  • 出版日期:2015.
  • 出版者:Springer,
  • 页数:xvi, 198 pages :
  • 出版地:Cham :
  • 第一责任说明:Renata J. Romanowicz, Marzena Osuch, editors.
  • 尺寸:25 cm.
  • 分类号:a223
  • ISBN:9783319188539(hardback) :
MARC全文
02h0085005 20160603160823.0 160526s2015 sz ab frb |000|||eng d 9783319188539(hardback) : CNY590.00 N$T eng rda ; pn N$T GW5XE ; IDEBK ; N$T ; YDXCP ; AZU ; OCLCF ; COO ; EBLCP ; CDX ; DEBSZ ; OCLCQ ; CNNGL e-pl--- GB1399.5.P7 551.48/90112 23 a223 aP333 v5 Stochastic flood forecasting system : the Middle River Vistula case study / Renata J. Romanowicz, Marzena Osuch, editors. Cham : Springer, 2015. aCham : bSpringer, c2015. xvi, 198 pages : illustrations (some color), color maps ; 25 cm. atext btxt 2rdacontent aunmediated bn 2rdamedia avolume bnc 2rdacarrier GeoPlanet : earth and planetary sciences, 2190-5193 Includes bibliographical references. 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. Flood forecasting ; Flood forecasting Statistical methods. Poland ; Vistula River. aRomanowicz, Renata, ; eeditor. ; aOsuch, Marzena, ; eeditors. GeoPlanet. aCN b010001 Ebook Library ; EBSCOhost ; MyiLibrary ; SpringerLink http://public.eblib.com/choice/publicfullrecord.aspx?p=3567442 ; http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1020179 ; http://www.myilibrary.com?id=809661 ; http://dx.doi.org/10.1007/978-3-319-18854-6 010001 223 R66 gljx1605 h1 ; rCNY590.00

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