By Baxter E. Vieux
From the foreword of the second one variation: "All of the above make this a different, useful ebook for the coed, professor, or hydrologist trying to gather a radical knowing of this quarter of hydrology" Philip B. Bedient, Rice collage, Texas, united states From the reports of the 1st version: "Although this e-book is mostly serious about floor runoff and flood sessions, the conceptions and techniques, in addition to the strategy of using GIS for allotted versions, are remakably invaluable. cautious examine of this glorious e-book may help in achieving realizing of GIS-based disbursed modelling, and it's hugely urged to scholars, lecturers, researchers, and engineers keen on hydrology, water assets, and environmental Sciences." (Bulletin of the yank Meteological Society, could 2002)
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Extra info for Distributed Hydrologic Modeling Using GIS (Water Science and Technology Library)
Multiple parameters may be associated with the vector data. Even after considerable processing, hydrologic parameters can continue to have some vestige of the original data structure, which is termed an artifact. Some data sources capture characteristics of the data in terms of measurement scale or sample volume. Rain gauges measure rainfall at a point, whereas radar, satellites, and other remote sensing techniques typically average a surrogate measure over a volume or area. Source data structures can have important consequences on the derived parameter and, therefore, model performance.
However, these methods have limitations. DEM smoothing introduces loss of information to the already approximate digital elevations, while arbitrary flow direction assignment can produce patterns that reflect the underlying assignment scheme, which are not necessarily realistic or topographically consistent.
The result of this approach is intended to guide hydrologists in the pursuit of more reliable hydrologic prediction. A. G. Quimpo, eds. , p. 120. J. J. ” Hydrologic Sciences Bulletin, 240(1):43-69. ” Water Resour. , 28(4):1015-1031. R. H. ” Hydrological Sciences Bulletin, 20(3): 305-327. E. Vieux, and B. Cappelaere, F. ” Trans. in GIS, 1(2): 82-94. S. E. ” J. Hydrol. , 9(1):pp. 55-68. H. of Agricultural Science, 4:1-24. S. Army Corps of Engineers Hydrologic Engineering Center, Davis California.
Distributed Hydrologic Modeling Using GIS (Water Science and Technology Library) by Baxter E. Vieux