2. Distributed Modeling in Hydrology using Digital Data and Geographic Information Systems David Tarboton Utah State University Course presented at the University of Padua May 15 to 26, 2000

3. Course Outline Introduction and use of ArcView Watershed and stream network delineation DEM Based Hydrologic Modeling [Computer lab] Integration of Computer Modeling and GIS

4. Introduction and use of ArcView GIS Data Structures Hydrology Data Model Definitions Geodesy, Map Projections and Coordinate Systems ArcView demo

5. GIS Data Structures Tabular attribute information Vector Raster

6. Discrete and Continuous Space Discrete Space: Lumped models Continuous Space: Distributed models Feature/Vector data structures Raster/grid, TIN data structures

7. Raster and Vector Data Point Line Polygon VectorRaster Raster data are described by a cell grid, one value per cell Zone of cells

8. Feature/Vector data file formats: shapefiles, coverages, dBASE tables of x,y coordinates, text files of x,y coordinates, and CAD drawings. Point Point - a pair of x and y coordinates (x 1,y 1 ) Line Line - a sequence of points Polygon Polygon - a closed set of lines Node vertex Vector data are defined spatially:

9. A grid defines geographic space as a matrix of identically-sized square cells. Each cell holds a numeric value that measures a geographic attribute (like elevation) for that unit of space.

10. A Triangular Irregular Network (TIN) is a data structure that defines geographic space as a set of contiguous, non-overlapping triangles, which vary in size and angular proportion

11. Attribute information stored in tables Feature tables for vector data Value attribute tables for categorical (integer) grid data

12. Contour and flowline based surface data structure Used by TOPOG, THALES etc, mostly in Australia

13. Hydrology Data Model Definitions for Geographic Information Systems

14. Reach — a length of channel considered as a single hydrologic entity. Example: a length of river between two tributaries Represented as a polyline in a "shapefile" or vector "coverage"

15. Waterbody — a volume of water having a horizontal water surface, which is defined within a specific area. Width is significant when compared to the length. Examples: lake, pond, reservoir, swamp, marsh, bay. Represented as a polygon in a "shapefile" or vector "coverage".

16. Flow Network — a set of connected flowlines through channel reaches and water bodies Also called River Network, Stream Network. Represented as an entire "shapefile" or vector coverage, comprising polylines for each feature. Attribute tables give linkages through upstream and downstream pointers.

17. Watershed — the area enclosed within a drainage boundary Drainage divide — a line defined topographically which separates distinct areas of land drainage. Drainage boundary — a closed line drawn along drainage divides also called Catchment or Basin. A watershed generally has no inflows and only one outflow point. Represented as a polygon, or represented as a binary (in or out) raster grid, also called a watershed mask

18. Subwatershed — a subdrainage area within a watershed also called subcatchment or subbasin. The only difference between watershed and subwatershed is scale Outlet — a location on the flowline, upstream of which a drainage area is defined.

19. Reach catchment — the drainage area locally defined around a particular channel reach. The drainage water from the reach catchment area flows to this channel reach before encountering any other downstream channel reaches or waterbodies.

20. SubWatershed Catchments — a subdivision of the watershed into subwatersheds employing user-defined outlet points at arbitrary locations on the river network.

21. Geodesy, Projections and Coordinate Systems We think of the earth as a sphere It is actually a spheroid, slightly larger in radius at the equator than at the poles (0,0) Equator Prime Meridian

22. Geodesy and Map Projections Geodesy - the shape of the earth and definition of earth datums Map Projection - the transformation of a curved earth to a flat map Coordinate systems - (x,y) coordinate systems for map data

23. Types of Coordinate Systems (1) Global Cartesian coordinates (x,y,z) for the whole earth (2) Geographic coordinates ( , z) (3) Projected coordinates (x, y, z) on a local area of the earth’s surface The z-coordinate in (1) and (3) is defined geometrically; in (2) the z-coordinate is defined gravitationally

24. Latitude and Longitude Z Y  X N S E W   =0-90°S P O R =0-180°E  =0-90°N Greenwich meridian =0° Equator =0 =0-180°W - Geographic longitude  - Geographic latitude R - Mean earth radius X,Y,Z - Geocentric coordinate system O - Geocenter Longitude line (Meridian) N S WE Latitude line (Parallel) Range: 90ºS - 0º - 90ºN N S WE Range: 180ºW - 0º - 180ºE

25. Ellipsoid or Spheroid Rotate an ellipse around an axis O X Z Y a a b Rotational axis

26. Standard Ellipsoids Ref: Snyder, Map Projections, A working manual, USGS Professional Paper 1395, p.12

27. Horizontal Earth Datums An earth datum is defined by an ellipse and an axis of rotation NAD27 (North American Datum of 1927) uses the Clarke (1866) ellipsoid on a non geocentric axis of rotation NAD83 (NAD,1983) uses the GRS80 ellipsoid on a geocentric axis of rotation WGS84 (World Geodetic System of 1984) uses GRS80, almost the same as NAD83

28. Definition of Latitude,  (1) Take a point S on the surface of the ellipsoid and define there the tangent plane, mn (2) Define the line pq through S and normal to the tangent plane (3) Angle pqr which this line makes with the equatorial plane is the latitude , of point S O  S m n q p r

29. Representations of the Earth Earth surface Ellipsoid Sea surface Geoid Mean Sea Level is a surface of constant gravitational potential called the Geoid

30. Geoid and Ellipsoid Ocean Geoid Earth surface Ellipsoid Gravity Anomaly

31. Definition of Elevation Elevation Z P z = z p z = 0 Mean Sea level = Geoid Land Surface Elevation is measured from the Geoid

32. Vertical Earth Datums A vertical datum defines elevation, z NGVD29 (National Geodetic Vertical Datum of 1929) NAVD88 (North American Vertical Datum of 1988) takes into account a map of gravity anomalies between the ellipsoid and the geoid

33. Map Projection Map Scale Map distance Earth distance = (e.g. 1:24,000) Curved Earth Geographic coordinates: , (Latitude & Longitude) Flat Map Cartesian coordinates: x,y (Easting & Northing) (x o,y o ) X Y

34. Types of Projections Conic (Albers Equal Area, Lambert Conformal Conic) - good for East-West land areas Cylindrical (Transverse Mercator) - good for North-South land areas Azimuthal (Lambert Azimuthal Equal Area) - good for global views

35. Conic Projections (Albers, Lambert)

36. Cylindrical Projections (Mercator) Transverse Oblique

37. Azimuthal (Lambert)

38. Universal Transverse Mercator Projection

39. Projections Preserve Some Earth Properties Area - correct earth surface area (Albers Equal Area) important for mass balances Shape - local angles are shown correctly (Lambert Conformal Conic) Direction - all directions are shown correctly relative to the center (Lambert Azimuthal Equal Area) Distance - preserved along particular lines Some projections preserve two properties

40. Coordinate Systems Universal Transverse Mercator (UTM) - a global system developed by the US Military Services State Plane Coordinate System - civilian system for defining legal boundaries Texas State Mapping System - a statewide coordinate system for Texas

41. ArcInfo and ArcView files ArcView Shapefiles – vector data in a simplified format (.shx,.dbf, etc) ArcInfo Coverage files – vector data in a more complex format, separate directories for spatial and attribute data (Info) ArcInfo Grid files – same structure as coverage files File Manager in ArcView – use this to copy ArcInfo files rather than Explorer

42. ArcInfo Workspaces Attribute Data Spatial Data

43. ArcView Spatial Analyst Extension A package of Avenue programs that extends ArcView’s capabilities Allows you to work with Grid files Does Map Algebra Allows interpolation of point data onto surfaces and construction of contouring and shaded maps

44. Map Algebra Cell by cell evaluation of mathematical functions

45. Concept Summary A region can be considered spatially discrete or spatially continuous Discrete space is represented by features (vectors or shapes, i.e. points, lines and polygons) and continuous space by elements (grid cells) Features have descriptive attributes stored in an attribute table Attribute tables can be linked or joined to related tables using a key field.