By Baxter E. Vieux
1. five REFERENCES 127 7 electronic TERRAIN 129 1. 1 creation 129 1. 2 DRAINAGE community a hundred thirty 1. three DEFINITION OF CHANNEL NETWORKS a hundred thirty five 1. four solution based results 138 1. five CONSTRAINING DRAINAGE course 141 1. 6 precis a hundred forty five 1. 7 REFERENCES 146 eight PRECIPITATION size 149 1. 1 advent 149 1. 2 RAIN GAUGE ESTIMATION OF RAINFALL 151 ADAR STIMATION OF RECIPITATION 1. three R E P one hundred 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 strategy 199 1. three dispensed version CALIBRATION 201 1. four computerized CALIBRATION 208 1. five precis 214 1. 6 REFERENCES 214 eleven disbursed HYDROLOGIC MODELING 217 1. 1 advent 218 1. 2 CASE reviews 218 1. three precis 236 1. four REFERENCES 237 12 HYDROLOGIC research AND PREDICTION 239 1. 1 creation 239 x disbursed Hydrologic Modeling utilizing GIS 1. 2 VFLO™ variations 241 1. three VFLO™ beneficial properties AND MODULES 242 1. four version characteristic precis 245 1. five VFLO™ REAL-TIME 256 1. 6 facts necessities 258 1. 7 dating TO different versions 259 1. eight precis 260 1.
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Example text
Spheroid, to a position located on a two-dimensional surface, called the projected surface. There are three main types of projections. Conformal projections are those that maintain local angles. If two lines intersect each other at an angle of 30º degrees on the spheroid, then in a conformal projection, the angle is maintained on the projected surface only if the projection is equal distance. The stereographic projection is conformal but not equal area or equal distance. Because hydrology is often concerned with distances and areas, map projections that preserve these quantities find broadest usage.
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. Digital representation of topography, soils, land use/cover, and precipitation may be accomplished using widely available or special purpose GIS datasets. Each GIS data source has a characteristic data structure, which has implications for the hydrologic model. Two major types of data structure exist within the GIS domain: raster and vector.
DISTRIBUTED HYDROLOGIC MODELING 29 11 is often not addressed in favor of simply using the finest resolution possible. It makes little sense, however, to waste computer resources when a coarser resolution would suffice. We wish to know the resolution that adequately samples the spatial variation in terms of the effects on the hydrologic model and at the scale of interest. This resolution may be coarser than that dictated by visual esthetics of the surface at fine resolution. The question of which resolution suffices for hydrologic purposes is answered in part by testing the quantity of information contained in a data set as a function of resolution.