Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Predicting the volume and depth of lakes from map-derived parameters
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics.
Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences.
Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences.
2011 (English)In: INLAND WATERS, ISSN 2044-2041, E-ISSN 2044-205X, Vol. 1, no 3, 177-184 p.Article in journal (Refereed) Published
Abstract [en]

The volume and depth of a lake are basic properties that greatly affect a wide array of its physical, chemical, and biological properties. Nevertheless, volume and depth data are scarce in lake-rich regions of the world. We coupled the Swedish lake register to GIS-derived geographical and topographical parameters, attempting to predict the volume and depth of 6943 lakes from map-derived parameters only. Lake area and the maximum slope in a 50 m wide zone outside of the lake shoreline were the most important predictors of both lake volume and depth, explaining 92% of the variance in lake volume but ˂40% of the variance in both maximum and mean depth. Regression parameters of regional submodels of lake volume were similar across geographically and topographically different regions, indicating that the model probably is applicable for glacially formed lakes in general. Despite the high degree of explanation for lake volume, the uncertainty in predicted volume for a single lake is considerable (relative standard deviation, ±57%). However, the mean or cumulative lake volume of catchments containing several lakes (n > 15) is predictable from map-derived parameters with a greatly reduced uncertainty. 

Place, publisher, year, edition, pages
2011. Vol. 1, no 3, 177-184 p.
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:uu:diva-187358DOI: 10.5268/IW-1.3.426OAI: oai:DiVA.org:uu-187358DiVA: diva2:574714
Available from: 2012-12-06 Created: 2012-12-05 Last updated: 2017-12-07Bibliographically approved

Open Access in DiVA

fulltext(1439 kB)227 downloads
File information
File name FULLTEXT02.pdfFile size 1439 kBChecksum SHA-512
c667397a85deb087d6260c8cf56bc52f883113df300c9d5058b4e8e05c7d92db25fa21ddce8a5657a6ade9eabb77c70f2b49942add70c42bbfd0a544e5288b8e
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Sobek, Sebastian

Search in DiVA

By author/editor
Sobek, Sebastian
By organisation
Department of Ecology and Genetics
In the same journal
INLAND WATERS
Earth and Related Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 227 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 589 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf