GIS in Water Resources Lecture 1 Inclass and

GIS in Water Resources: Lecture 1 • • In-class and distance learning Land water interaction Geospatial database of hydrologic features Curved earth and a flat map

GIS in Water Resources: Lecture 1 • • In-class and distance learning Geospatial database of hydrologic features Arc. GIS Hydro data model Curved earth and a flat map

Six Basic Course Elements • Lectures – Powerpoint slides – Video streaming • Readings – “Modeling our World” – Narratives written around slides • Homework • Term Project – Oral presentation – HTML report • Class Interaction – Email – Chat room • Examinations – Midterm, final

Learning Styles • Instructor-Centered Presentation Instructor Student • Community-Centered Presentation

University Without Walls Traditional Classroom Community Inside and Outside The Classroom

Utah State University Dr David Tarboton – terrain analysis with digital elevation models Dr Tarboton will present lectures on Sept 25, Oct 4, Oct 23, Oct 25

GIS in Water Resources: Lecture 1 • • In-class and distance learning Geospatial database of hydrologic features Arc. GIS Hydro data model Curved earth and a flat map

Geospatial Database

Levels of Analysis: Relational Database Relational Linkages Spatial Attributes Water Right Locations Descriptive Attributes

Spatial Data: Vector format Vector data are defined spatially: (x 1, y 1) Point - a pair of x and y coordinates vertex Line - a sequence of points Node Polygon - a closed set of lines

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

National Hydro Data Programs http: //www. crwr. utexas. edu/giswr/nhdconf/nationalhydro. html National Elevation Dataset (NED) National Hydrography Dataset (NHD) Elevation Derivatives for National Applications (EDNA) Watershed Boundary Dataset

How do we combine these data? Digital Elevation Models Watersheds Streams Waterbodies

An integrated raster-vector database

GIS in Water Resources: Lecture 1 • • In-class and distance learning Geospatial database of hydrologic features Arc. GIS Hydro data model Curved earth and a flat map

Arc. GIS Hydro Data Model Hydrography Hydrology

Arc. GIS Hydro Data Model Drainage Network Flow Hydro. Features Time Series Hydrography Channel

Data Model Based on Inventory NHD Points NHD Lines NHD Areas Gages Dams Bridges Make an inventory of all features of a given type in the region What is it? Where is it?

Data Model Based on Behavior Follow a drop of water from where it falls on the land, to the stream, and all the way to the ocean.

Integrating Data Inventory using a Behavioral Model Relationships between objects linked by tracing path of water movement

Open Architecture for Water Modeling Interface 1 Arc. GIS Temporal Data Geospatial data Interface 4 Custom-designed Interface 2 Hydro. Model Process Engines Interface 3 Excel

TIWSS Texas Integrated Water Simulation System WRAP Water Availability SWAT Water Quality Arc Hydro Geospatial and Temporal Data HEC Models Flooding & Water Management Modflow Groundwater

GIS in Water Resources: Lecture 1 • • In-class and distance learning Geospatial database of hydrologic features Arc. GIS Hydro data model Curved earth and a flat map

Origin of Geographic Coordinates Equator (0, 0) Prime Meridian

Latitude and Longitude line (Meridian) N W E S Range: 180ºW - 0º - 180ºE Latitude line (Parallel) N W E S Range: 90ºS - 0º - 90ºN (0ºN, 0ºE) Equator, Prime Meridian

Latitude and Longitude in North America Austin: (30°N, 98°W) Logan: (42°N, 112°W) 60 N 30 N 120 W W 90 W 60 0 N

Map Projection Flat Map Cartesian coordinates: x, y (Easting & Northing) Curved Earth Geographic coordinates: f, l (Latitude & Longitude)

Earth to Globe to Map Scale: Map Projection: Scale Factor Representative Fraction = Globe distance Earth distance (e. g. 1: 24, 000) = Map distance Globe distance (e. g. 0. 9996)

Coordinate System A planar coordinate system is defined by a pair of orthogonal (x, y) axes drawn through an origin Y X Origin (xo, yo) (fo, lo)