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Application of Geographic Information System to Predict Land Use Change for Maximum Flow Rate Calculation

  • Yutthana ChaonaEmail author
  • Teerawate Limkomonvilas
  • Sathaporn Monprapussorn
Conference paper
First Online:
Part of the Springer Geography book series (SPRINGERGEOGR)

Abstract

Floods causes enormous loss of human life and damage to human properties. The main causes of floods are heavy rainfall, deforestation, river bank disturbance. The purpose of this study is to apply Geographic Information System and CA-Markov to predict of land-use changes and enlarge of the catchment area in Sattahip, Chonburi, Thailand. Geographical factors were analyzed to calculate a maximum flow rate by Rational Method. It found that four land use types including urban area, forest, agriculture, and miscellaneous area increase maximum flow rate continuously (193.41, 194.68, 200.19, 195.95 and 204.01 cubic meters per second). Moreover, it can help to design a drainage system to support and prevent flood in the future.

Keywords

Geographic Information System Land use change CA-Markov Rational Method Catchment area Maximum flow rate 
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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Yutthana Chaona
    • 1
    Email author
  • Teerawate Limkomonvilas
    • 2
  • Sathaporn Monprapussorn
    • 2
  1. 1.Department of HighwaysBureau of Location and DesignBangkokThailand
  2. 2.Department of Geography, Faculty of Social SciencesSrinakharinwirot UniversityBangkokThailand

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