GIS och multipel linjär regression som verktyg för sårbarhetsanalys av sjöar
(2007) In LUTVDG/TVBB--5238—SE VBR920Division of Fire Safety Engineering
Risk Management and Safety Engineering (M.Sc.Eng.)
Division of Risk Management and Societal Safety
- Abstract
- The report aims at quantifying vulnerability of lakes by multiple linear regression, in which transparency of the water is used as a proxy for vulnerability and parameters such as area and depth of the lake as independent descriptors. Data was acquired from Swedish environmental monitoring programs. The analysis results in a model that can be used to predict this trend and thus predict the vulnerability of lakes. In this study it is shown that coniferous forest, lake area and mean depth of the lake is of great importance when predicting water transparency. The model is finally used to visualize the vulnerability for a sample of lakes on a map using geographical information systems (GIS). Finally it is argued that quantification of... (More)
- The report aims at quantifying vulnerability of lakes by multiple linear regression, in which transparency of the water is used as a proxy for vulnerability and parameters such as area and depth of the lake as independent descriptors. Data was acquired from Swedish environmental monitoring programs. The analysis results in a model that can be used to predict this trend and thus predict the vulnerability of lakes. In this study it is shown that coniferous forest, lake area and mean depth of the lake is of great importance when predicting water transparency. The model is finally used to visualize the vulnerability for a sample of lakes on a map using geographical information systems (GIS). Finally it is argued that quantification of vulnerability is an important step in the risk management process and that the used methodology could be applied in many different areas. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/1689026
- author
- Carlsson, Fredrik and Lidholm, Martina
- supervisor
- organization
- course
- VBR920
- year
- 2007
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Kvantifiering av sårbarhet, miljörisk, GIS, geografiska informationssystem, motståndskraft, multipel linjär regression
- publication/series
- LUTVDG/TVBB--5238—SE
- report number
- 5238
- ISSN
- 1402-3504
- language
- Swedish
- id
- 1689026
- date added to LUP
- 2011-01-20 14:48:52
- date last changed
- 2020-12-03 14:26:05
@misc{1689026, abstract = {{The report aims at quantifying vulnerability of lakes by multiple linear regression, in which transparency of the water is used as a proxy for vulnerability and parameters such as area and depth of the lake as independent descriptors. Data was acquired from Swedish environmental monitoring programs. The analysis results in a model that can be used to predict this trend and thus predict the vulnerability of lakes. In this study it is shown that coniferous forest, lake area and mean depth of the lake is of great importance when predicting water transparency. The model is finally used to visualize the vulnerability for a sample of lakes on a map using geographical information systems (GIS). Finally it is argued that quantification of vulnerability is an important step in the risk management process and that the used methodology could be applied in many different areas.}}, author = {{Carlsson, Fredrik and Lidholm, Martina}}, issn = {{1402-3504}}, language = {{swe}}, note = {{Student Paper}}, series = {{LUTVDG/TVBB--5238—SE}}, title = {{GIS och multipel linjär regression som verktyg för sårbarhetsanalys av sjöar}}, year = {{2007}}, }