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Related Concept Videos

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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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...
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Thematic Layering in GIS01:30

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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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Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

268
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Manipulation and Analysis01:21

Manipulation and Analysis

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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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Watershed Planning within a Quantitative Scenario Analysis Framework
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A spatial framework to explore needs and opportunities for interoperable urban flood management.

David A Dawson1, Kim Vercruysse1, Nigel Wright2

  • 1School of Civil Engineering, University of Leeds, LS2 9JT Leeds, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|February 18, 2020
PubMed
Summary

Integrating urban infrastructure is key to managing stormwater (pluvial flooding). This study presents a spatial framework to identify interoperable systems, improving urban flood management (UFM) and resilience.

Keywords:
infrastructureplanningpluvial floodingsystems-thinking

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Civil Engineering

Background:

  • Urban flood risk management requires integrating existing and new infrastructure for stormwater management.
  • Current approaches often miss opportunities to combine conventional infrastructure with blue-green solutions.
  • A systematic method is needed to identify interoperable flood management interventions.

Purpose of the Study:

  • To present a spatial analysis framework for systems-level urban flood management (UFM).
  • To identify interoperable potential between diverse infrastructure systems for enhanced flood resilience.
  • To guide strategic investment by combining conventional and blue-green infrastructure.

Main Methods:

  • Developed a spatial analysis framework integrating hydrodynamic modeling with infrastructure data.
  • Utilized data on flood hazard areas, flood source areas, and system interoperability.
  • Applied the framework to the urban catchment of Newcastle-Upon-Tyne, UK.

Main Results:

  • Illustrated the novel combination of spatial data sources for systematic analysis.
  • Highlighted spatial connectivity and disconnectivity between flood sources and benefit areas.
  • Demonstrated the framework's ability to identify strategic intervention points.

Conclusions:

  • The framework offers a strategic tool for managing stormwater pathways from an interoperable perspective.
  • It supports city-scale infrastructure development that integrates urban flood management across multiple systems.
  • Enhances urban flood resilience by optimizing the use of interconnected infrastructure.