Vista normal Vista MARC

Distributed hydrologic modeling using GIS [Libro electrónico] / by Baxter E. Vieux

Por: Vieux, Baxter E [autor/a].
Tipo de material: Libro en línea Libro en línea Series Editor: Boston: Kluwer, c2004Edición: Segunda edición.Descripción: xvi, 289 páginas : ilustraciones mapas ; 25 centímetros.ISBN: 1402024592; 1402024606; 9781402024597; 9781402024603.Tema(s): Hydrologic models | Geographic information systems | Hydrology -- Data processing | Electronic data processing -- Distributed processing | Hidrolik modeller | Cogfrafik enformasyon sistemleri | Hidroloji -- Bilgi islemNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice: páginas 287-289 Número de sistema: 54949Contenidos:Mostrar Resumen:
Inglés

This monograph provides a unified approach to distributed parameter hydrologic modeling using Geographic Information Systems (GIS). Hydrologic models that can utilize the information content of global digital datasets offer tantalizing prospects for improved simulation of surface runoff processes. As data from newly deployed remote sensing platforms come online, hydrologic modeling techniques must keep pace with such high-resolution data. As soon as we embark on simulating hydrologic processes using these digital datasets with GIS, we must address the issues that are the subject of this book, which are the spatial and temporal characteristics of radar rainfall (NEXRAD), topography, soils, and land use/cover. Distributed modeling is demonstrated through case studies and an appendix that sets forth model results using Arc.water.fea. Comparison of model results with observed flood events demonstrates the importance of incorporating spatial variability into model parameters affecting the transformation of precipitation into surface runoff at the river basin scale." "Audience: This volume will be valuable for faculty members, seniors and graduate students, practitioners from civil, agricultural, water resources and environmental engineering fields, hydrologists, physical geographers, and hydrometeorologists engaged in hydrologic modeling.

Recurso en línea: http://link.springer.com/openurl?genre=book&isbn=978-1-4020-2459-7
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Estado Fecha de vencimiento Código de barras
Libros Biblioteca Electrónica
Recursos en línea (RE) 		Acervo General Recurso digital ECO400549496560

Incluye bibliografía e índice: páginas 287-289

1. - Distributed hydrologic modeling.. 2. - Data sources and structure.. 3. - Surface generation.. 4. - Spatial variability.. 5. - Infiltration modeling.. 6. - Hydraulic roughness.. 7. - Digital terrain.. 8. - Precipitation measurement.. 9. - Finite element modeling.. 10. - Distributed model calibration.. 11. - Distributed hydrologic modeling.. 12. - Hydrologic analysis and prediction

Disponible para usuarios de ECOSUR con su clave de acceso

This monograph provides a unified approach to distributed parameter hydrologic modeling using Geographic Information Systems (GIS). Hydrologic models that can utilize the information content of global digital datasets offer tantalizing prospects for improved simulation of surface runoff processes. As data from newly deployed remote sensing platforms come online, hydrologic modeling techniques must keep pace with such high-resolution data. As soon as we embark on simulating hydrologic processes using these digital datasets with GIS, we must address the issues that are the subject of this book, which are the spatial and temporal characteristics of radar rainfall (NEXRAD), topography, soils, and land use/cover. Distributed modeling is demonstrated through case studies and an appendix that sets forth model results using Arc.water.fea. Comparison of model results with observed flood events demonstrates the importance of incorporating spatial variability into model parameters affecting the transformation of precipitation into surface runoff at the river basin scale." "Audience: This volume will be valuable for faculty members, seniors and graduate students, practitioners from civil, agricultural, water resources and environmental engineering fields, hydrologists, physical geographers, and hydrometeorologists engaged in hydrologic modeling. eng

Disponible en línea

Disponible en formato PDF

Subscripción a ELSEVIER 26 de diciembre del 2013

Con tecnología Koha