LEADER 04183nam 22006255 450 001 9910254116803321 005 20200701084535.0 010 $a94-024-0930-0 024 7 $a10.1007/978-94-024-0930-7 035 $a(CKB)3710000000832046 035 $a(DE-He213)978-94-024-0930-7 035 $a(MiAaPQ)EBC4649560 035 $a(PPN)194804526 035 $a(EXLCZ)993710000000832046 100 $a20160819d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDistributed Hydrologic Modeling Using GIS /$fby Baxter E. Vieux 205 $a3rd ed. 2016. 210 1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2016. 215 $a1 online resource (XVI, 262 p. 124 illus., 60 illus. in color.) 225 1 $aWater Science and Technology Library,$x0921-092X ;$v74 311 $a94-024-0928-9 320 $aIncludes bibliographical references and index. 327 $a1. Introduction to Physics-based Distributed Hydrology -- 2. Geospatial Data for Hydrology 3 Surface Generation -- 4. Spatial Variability -- 5. Infiltration -- 6. Hydrolic Roughness -- 7. Watersheds and Drainage Networks -- 8. Distributed Precipitation Estimation -- 9. Surface Runoff Model Formulation -- 10. Distributed Model Calibration -- 11. Case Studies in Distributed Hydrology -- 12. Vflo® ? Software for Distributed Hydrology -- Index. 330 $aThis book presents a unified approach for modeling hydrologic processes distributed in space and time using geographic information systems (GIS). This Third Edition focuses on the principles of implementing a distributed model using geospatial data to simulate hydrologic processes in urban, rural and peri-urban watersheds. The author describe fully distributed representations of hydrologic processes, where physics is the basis for modeling, and geospatial data forms the cornerstone of parameter and process representation. A physics-based approach involves conservation laws that govern the movement of water, ranging from precipitation over a river basin to flow in a river. Global geospatial data have become readily available in GIS format, and a modeling approach that can utilize this data for hydrology offers numerous possibilities. GIS data formats, spatial interpolation and resolution have important effects on the hydrologic simulation of the major hydrologic components of a watershed, and the book provides examples illustrating how to represent a watershed with spatially distributed data along with the many pitfalls inherent in such an undertaking. Since the First and Second Editions, software development and applications have created a richer set of examples, and a deeper understanding of how to perform distributed hydrologic analysis and prediction. This Third Edition describes the development of geospatial data for use in Vflo® physics-based distributed modeling. . 410 0$aWater Science and Technology Library,$x0921-092X ;$v74 606 $aHydrogeology 606 $aHydrology 606 $aNatural disasters 606 $aPhysical geography 606 $aHydrogeology$3https://scigraph.springernature.com/ontologies/product-market-codes/G19005 606 $aHydrology/Water Resources$3https://scigraph.springernature.com/ontologies/product-market-codes/211000 606 $aNatural Hazards$3https://scigraph.springernature.com/ontologies/product-market-codes/G32000 606 $aPhysical Geography$3https://scigraph.springernature.com/ontologies/product-market-codes/J16000 615 0$aHydrogeology. 615 0$aHydrology. 615 0$aNatural disasters. 615 0$aPhysical geography. 615 14$aHydrogeology. 615 24$aHydrology/Water Resources. 615 24$aNatural Hazards. 615 24$aPhysical Geography. 676 $a551.480285 700 $aVieux$b Baxter E$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059902 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254116803321 996 $aDistributed Hydrologic Modeling Using GIS$92509406 997 $aUNINA