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Autor(en): 
  • Baxter E. Vieux
  • Distributed Hydrologic Modeling Using GIS 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  April 2018  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Earth and Environmental Science / Earth Sciences / Hydrogeology / Hydrology / Hydrology & the hydrosphere / Hydrology/Water Resources / Natural disasters / Natural Hazards / Physical geography / Physical geography & topography / Water
    ISBN:  9789402414394 
    EAN-Code: 
    9789402414394 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #74 - Water Science and Technology Library  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  4787 gr 
    Seiten:  262 
    Illustration:  XVI, 262 p. 124 illus., 60 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book presents a unified approach for modeling hydrologic processes distributed in space and time using geographic information systems (GIS). This Third Edition focuses on the principles of implementing a distributed model using geospatial data to simulate hydrologic processes in urban, rural and peri-urban watersheds. The author describe fully distributed representations of hydrologic processes, where physics is the basis for modeling, and geospatial data forms the cornerstone of parameter and process representation. A physics-based approach involves conservation laws that govern the movement of water, ranging from precipitation over a river basin to flow in a river.

     Global geospatial data have become readily available in GIS format, and a modeling approach that can utilize this data for hydrology offers numerous possibilities. GIS data formats, spatial interpolation and resolution have important effects on the hydrologic simulation of the major hydrologic componentsof a watershed, and the book provides examples illustrating how to represent a watershed with spatially distributed data along with the many pitfalls inherent in such an undertaking. Since the First and Second Editions, software development and applications have created a richer set of examples, and a deeper understanding of how to perform distributed hydrologic analysis and prediction. This Third Edition describes the development of geospatial data for use in Vflo® physics-based distributed modeling.

     

      



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