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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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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...
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In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
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Sponge City Planning and Information System Development Based on Geographic Information Fuzzy Processing.

Mingxin Gan1, Tongfang Li1

  • 1University of Science and Technology Beijing, Beijing 100083, China.

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This summary is machine-generated.

This study developed a sponge city planning system using geographic information fuzzy processing to manage urban rainwater. The system integrates topography and street view data to mitigate urban water pollution and waterlogging.

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Area of Science:

  • Urban planning
  • Environmental engineering
  • Geographic Information Systems (GIS)

Background:

  • Urban development has increased impervious surfaces, impairing natural rainwater infiltration and self-purification.
  • This leads to urban water pollution, waterlogging, and groundwater contamination issues.

Purpose of the Study:

  • To develop a sponge city planning and information system using geographic information fuzzy processing.
  • To integrate natural topography data for effective sponge city design.

Main Methods:

  • Utilized differentiated and ordinary fuzzy processing for geographic information data.
  • Integrated GIS functionalities and developed multiple management modules.
  • Processed fisheye lens street view photos and location data.

Main Results:

  • The system effectively combines geographic data with nearby imagery.
  • It addresses issues related to non-confidential information and data preprocessing.
  • Evaluated the impact of natural topography on rainwater, strata distribution, and groundwater resources.

Conclusions:

  • The developed system provides a robust platform for sponge city planning.
  • Fuzzy geographic information processing is crucial for integrating diverse data types.
  • Understanding topographical impacts is essential for sustainable urban water management.