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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/14020
Title: The integration of GIS and mathematical model for shoreline prediction
Authors: Nuttorn Kaewpoo
Kanchana Nakhapakorn
Nathsuda Pumijumnong
Chaowalit Silapathong
Faculty of Environment and Resource Studies, Mahidol University
Geo-Informatics and Space Technology Development Agency
Keywords: Computer Science
Issue Date: 1-Dec-2012
Citation: 33rd Asian Conference on Remote Sensing 2012, ACRS 2012. Vol.2, (2012), 1617-1623
Abstract: The Coastal area change is problems along the coast of Thailand. There are caused from natural factors and human activities. The coastal area management is need for reduce the damage in Thailand coastal. The shoreline prediction by using the integration of Geo-information technology and mathematical model, this is another way for solve shoreline problem effectively in long term. The aim of the study is to estimate the sediment transportation and shoreline change at Khlong Wan beach, Khlong Wan sub-district, Muang district, Prachuap Khiri Khan Province by using satellite images such as IKONOS 2004, SPOT-5 2007 and Thaichote (THEOS) 2010 integrated with mathematical model. This study area was built a port and breakwaters in 2007. Therefore the objectives of application are to study the change of shoreline during 2004 (before construction condition) to 2010 (after construction condition) and to predict the shoreline in 2020 affected by the construction. The result of the research found that the shoreline was changed near by the wharf and breakwaters construction along the shoreline. The sediment accumulation depended on wave direction which found that the wharf was affected to the decreasing of sediment. The north side of the wharf was eroded. The ten small breakwaters in the northern wharf were affecting to shoreline stability. The crescent shoreline was eroded between the gaps of the breakwaters. Therefore GIS integration with mathematical model will support the coastal zone management effectively because GIS database is powerful information for further monitoring and prediction of the changed shoreline.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84880028874&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/14020
Appears in Collections:Scopus 2011-2015

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