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Application of ArcGIS Model Builder and Python Scripting for urban Flood Modeling

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dc.contributor.author Bandara, DMPD
dc.contributor.author Mahanama, PKS
dc.contributor.author Warusavitharana, EJ
dc.date.accessioned 2022-09-12T08:32:09Z
dc.date.available 2022-09-12T08:32:09Z
dc.date.issued 2014-12
dc.identifier.issn 2012-6301 en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19028
dc.description.abstract Accurate projection of flood extents in urban catchments has become a challenging task. Accurate data on inundation is useful for identifying flood risk areas and developing flood management strategies to mitigate the negative consequences. Owing to high costs of sophisticated flood simulation modeling software, currently, the required flood data for different studies and projects in Sri Lanka is collected through gauging stations, GPS devices and participatory based mapping approaches. However, these methods are highly time consuming and limited in accuracy. Hence, this paper presents an integrated model that simulates flood prone areas, flood levels and flood water accumulation time in urban areas using ArcGIS model builder and Python scripting. The model was calibrated and validated considering part of the urbanized area beside Kelani River. The results indicated that there is a high level of consistency between the observed and simulated results. Accordingly, the model presented in this paper can be used to simulate the flood inundation information in urban areas in a relatively fast, inexpensive and accurate manner en_US
dc.language.iso en en_US
dc.publisher Faculty of Architecture University of Moratuwa en_US
dc.subject Flood Model en_US
dc.subject Arc-GIS
dc.subject Python Scripting
dc.subject Simulation
dc.title Application of ArcGIS Model Builder and Python Scripting for urban Flood Modeling en_US
dc.type Article-Full-text en_US
dc.identifier.year 2014 en_US
dc.identifier.journal Research Journal of the Faculty of Architecture en_US
dc.identifier.issue 01 en_US
dc.identifier.volume 06 en_US
dc.identifier.pgnos 221-236 en_US
dc.identifier.email prasaddny@gmail.com en_US
dc.identifier.email mahanama_pks@yahoo.com en_US
dc.identifier.email emejayani@gmail.com en_US


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