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Related Concept Videos

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
Levels of Use of a GIS01:29

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
Geoid and Ellipsoid01:28

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The Earth's shape is best described as an ellipsoid, a slightly flattened sphere created by rotating an ellipse around its minor axis. This flattening results in the polar axis being about 21 kilometers shorter than the equatorial axis. In contrast, the geoid represents the Earth's gravitational shape and aligns with the mean sea level (MSL). The geoid is an irregular equipotential surface where gravity is perpendicular at every point. Variations in Earth's mass distribution cause geoid...
Design Example: Design of an Irrigation Channel01:27

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Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
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The design of residential plumbing systems requires carefully evaluating water demand, flow rates, and pressure dynamics to ensure both efficiency and reliability. The nature of water flow within pipes is defined by its Reynolds number, which classifies flow as either laminar (smooth) or turbulent.

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A geographic data model for representing ground water systems.

Gil Strassberg1, David R Maidment, Norm L Jones

  • 1Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, University Station, Austin, TX 78713, USA. strassberg@beg.utexas.edu

Ground Water
|June 30, 2007
PubMed
Summary

The Arc Hydro ground water data model offers a standardized GIS framework for managing spatial and temporal ground water data. This public domain template aids in storing, documenting, and analyzing crucial hydrogeologic information.

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Area of Science:

  • Geographic Information Systems (GIS)
  • Hydrogeology
  • Geospatial Data Management

Background:

  • Ground water data is often complex, involving both spatial and temporal components.
  • A standardized data model is needed for efficient storage, documentation, and analysis within GIS.
  • Existing systems may lack comprehensive capabilities for representing 3D ground water features and associated temporal data.

Purpose of the Study:

  • To describe the Arc Hydro ground water data model framework.
  • To present a simplified version including 2D and 3D object classes for key hydrogeologic features.
  • To demonstrate the integration of temporal data (water levels, quality) with spatial features.

Main Methods:

  • Development of a geographic data model using GIS principles.
  • Inclusion of two-dimensional and three-dimensional (3D) object classes for aquifers, wells, and boreholes.
  • Integration of tabular objects for temporal data linked to spatial features.

Main Results:

  • A public domain template for representing ground water systems in a spatial database.
  • A framework data model encompassing 3D geospatial context and temporal information.
  • Standardized methods for storing, documenting, and analyzing spatial and temporal ground water data.

Conclusions:

  • The Arc Hydro ground water data model provides a robust framework for hydrogeologic data management.
  • The model facilitates comprehensive analysis of spatial and temporal ground water dynamics.
  • This standardized approach enhances data accessibility and usability for GIS professionals.