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Localization of suitable areas for snow deposits.
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Land and Water Resources Engineering.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In Sweden 16 environmental objectives has been adapted to improve sustainability and assure that future generations has access to a healthy living environment without adding environmental pressure outside the Swedish borders. Snow handling occurs yearly and can be seen to affect several of these objectives and local environment. The municipalities have the responsibility to assure that clearing of snow is carried out and that the snow is deposited according to Swedish laws. This calls for choosing locations for snow deposits in a suitable manner. This study therefore aims to build a generic model in geographic information systems to find suitable places to deposit snow that can increase sustainability by using a simple multi criteria analysis and easy accessible data. The model uses constraints, as only using open land and excludes cultural heritage sites and nature reserves, and factors as visibility, availability, salt contamination and infiltration, for indicating suitable areas for snow depositing. The model was tried on Lidingö municipality to evaluate the result and the resulting suitability map shows good results by indicating areas that can be used for snow deposits but also some areas that aren’t possible to deposit snow on. The model works well with generic data for planners in the early stages of planning and can with some modifications to local properties and general factors be even more specific to point out suitable areas for snow deposits.

Place, publisher, year, edition, pages
, TRITA-LWR Degree Project, ISSN 1651-064X ; 2016:12
Keyword [en]
Snow deposit, GIS, MCA, Sustainability, Municipal planning
National Category
Civil Engineering
URN: urn:nbn:se:kth:diva-190714OAI: diva2:952370
Available from: 2016-08-15 Created: 2016-08-12 Last updated: 2016-08-15Bibliographically approved

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