Water contamination during urban flood events can have a negative impact on human health and the environment. Prior flood studies lack investigation into how GIS can map and analyze this at a large scale (cadastral) level. This thesis focused on how GIS can help map and analyze water contamination risk in urban areas using LiDAR elevation data, at a large-scale (cadastral) level, and symbology and flood classification intervals specifically selected for contamination risk. This was done by first completing a literature review about past research and studies of similar scope. Based on the findings, a method to map and analyze water contamination risk during sea-based flood scenarios was tested in the Näringen district of Gävle, Sweden. This study area was investigated and flood contamination risk maps were produced for two different flood scenarios which illustrated which properties are vulnerable to flooding and at what depth, what their contamination risk is, and if they are hydrologically connected to the ocean. The findings from this investigation are that this method of examining water contamination risk could be useful to planning officials who are in charge of policies relating to land-use. These findings could help guide landuse or hazardous material storage regulations or restrictions. To further research in this topic, it is recommended that similar studies are performed that use a more detailed land-use map which has information on what type and quantity of possible contaminants are stored on individual properties. Furthermore, flood modeling should be employed in place of the flood mapping which was conducted in this thesis.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-18183 |
Date | January 2014 |
Creators | Thorsteinsson, Russell |
Publisher | Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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