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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...
127
Modeling and Similitude01:12

Modeling and Similitude

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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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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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Manipulation and Analysis01:21

Manipulation and Analysis

48
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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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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Related Experiment Video

Updated: Aug 8, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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Modelling hydrological factors from DEM using GIS.

Md Sharafat Chowdhury1

  • 1Information and Communication Technology Division, Government of Bangladesh; Department of Geography and Environment, Jahangirnagar University, Dhaka, Bangladesh.

Methodsx
|February 27, 2023
PubMed
Summary

This study details methods for deriving key hydrological factors from Digital Elevation Models using GIS. These factors are crucial for landscape analysis and geo-environmental hazard modeling.

Keywords:
DEM, Digital Elevation ModelDTA, Digital Terrain AnalysisDigital elevation modelESRI, Environmental Systems Research InstituteGIS, Geographic Information SystemsGeographic information systemsHydrological factorsHydrological modellingHydrological modelling for causative factor extractionMathematical equationSPI, Stream Power IndexSTI, Sediment Transport IndexTPI, Topographic Position IndexTRI, Topographic Roughness IndexTWI, Topographic Wetness Index

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Area of Science:

  • Earth and Environmental Sciences
  • Geosciences
  • Hydrology

Background:

  • Hydrological modeling is fundamental for various scientific disciplines, including species distribution, ecology, agriculture, climatology, and hazard assessment.
  • Topographic influences on hydrological processes are significant and have been extensively studied.
  • Recent advancements utilize hydrological models to generate conditional factors for hazard modeling (e.g., floods, landslides).

Purpose of the Study:

  • To present methods for quantitatively analyzing Digital Elevation Models (DEMs) using Geographic Information Systems (GIS).
  • To extract essential hydrological and topographic information from DEMs for landscape analysis.
  • To detail the preparation of common hydrological factors vital for scientific research and hazard mapping.

Main Methods:

  • Employs physically based hydrological methods within ArcMap 10.5 software.
  • Utilizes freely available DEM data for processing.
  • Focuses on extracting factors such as Topographic Wetness Index (TWI), Terrain Ruggedness Index (TRI), Stream Power Index (SPI), etc.

Main Results:

  • Provides a clear methodology for deriving multiple hydrological factors from DEMs.
  • Demonstrates the application of GIS for quantitative landscape analysis.
  • Highlights the utility of these derived factors in various scientific modeling applications.

Conclusions:

  • Hydrological factors derived from DEMs are essential for understanding landscapes and are widely applied in geo-environmental hazard mapping.
  • The discussed methods, using freely available DEM and ArcMap 10.5, offer accessible tools for researchers.
  • These factors are extensively used in scientific literature for modeling and analyzing environmental relationships.