By Baxter E. Vieux
1. five REFERENCES 127 7 electronic TERRAIN 129 1. 1 creation 129 1. 2 DRAINAGE community one hundred thirty 1. three DEFINITION OF CHANNEL NETWORKS a hundred thirty five 1. four solution established results 138 1. five CONSTRAINING DRAINAGE path 141 1. 6 precis a hundred forty five 1. 7 REFERENCES 146 eight PRECIPITATION dimension 149 1. 1 creation 149 1. 2 RAIN GAUGE ESTIMATION OF RAINFALL 151 ADAR STIMATION OF RECIPITATION 1. three R E P a hundred and fifty five 1. four WSR-88D RADAR features 167 1. five enter FOR HYDROLOGIC MODELING 172 1. 6 precis 174 1. 7 REFERENCES a hundred seventy five nine FINITE point MODELING 177 1. 1 creation 177 1. 2 MATHEMATICAL formula 182 1. three precis 194 1. four REFERENCES 195 10 allotted version CALIBRATION 197 1. 1 advent 197 1. 2 CALIBRATION process 199 1. three allotted version CALIBRATION 201 1. four computerized CALIBRATION 208 1. five precis 214 1. 6 REFERENCES 214 eleven allotted HYDROLOGIC MODELING 217 1. 1 creation 218 1. 2 CASE experiences 218 1. three precis 236 1. four REFERENCES 237 12 HYDROLOGIC research AND PREDICTION 239 1. 1 advent 239 x allotted Hydrologic Modeling utilizing GIS 1. 2 VFLO™ versions 241 1. three VFLO™ gains AND MODULES 242 1. four version function precis 245 1. five VFLO™ REAL-TIME 256 1. 6 information specifications 258 1. 7 dating TO different types 259 1. eight precis 260 1.
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Extra info for Distributed Hydrologic Modeling Using GIS (Water Science and Technology Library)
Advances in modeling techniques; multisensor precipitation estimation; and secure client/server architecture in JAVA™, GIS and remotely sensed data have resulted in enhanced ability to make hydrologic predictions at any location. This model and the modeling approach described in this book represent a paradigm shift from traditional hydrologic modeling. Chapter 12 describes the Vflo™ model features and application for hydrologic prediction and analysis. The enclosed CD-ROM contains the Vflo™ software with Help and Tutorial files that are useful in understanding how distributed hydrologic modeling is performed.
As a result, channel hydraulics play an important role in predicting discharge using a PBD model. The benefit of using representative hydraulic cross-sections is demonstrated. Distributed model flood forecasting is described in Case II. In this case study, an example is offered of operational deployment of a physics-based distributed model configured for site-specific flood forecasts in an urban area, Houston Texas. The influence of radar rainfall input uncertainty is illustrated for five events.
And N. Gauer, 1994, “Finite element modeling of storm water runoff using GRASS GIS”, Microcomputers in Civil Engineering, 9(4):263-270. E. E. Vieux, 2002, Vflo™: A Real-time Distributed Hydrologic Model. Proceedings of the 2nd Federal Interagency Hydrologic Modeling Conference, July 28August 1, 2002, Las Vegas, Nevada. Abstract and paper on CD-ROM. htm. 1 Introduction Once we decide to use GIS to manage the spatial data necessary for hydrologic modeling, we must address data characteristics in the context of GIS.