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Sökning: onr:"swepub:oai:gup.ub.gu.se/312995" > Systematic visual a...

  • Barthel, Roland,1967Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences,University of Gothenburg (författare)

Systematic visual analysis of groundwater hydrographs: potential benefits and challenges

  • Artikel/kapitelEngelska2022

Förlag, utgivningsår, omfång ...

  • 2022-01-11
  • Springer Science and Business Media LLC,2022

Nummerbeteckningar

  • LIBRIS-ID:oai:gup.ub.gu.se/312995
  • https://gup.ub.gu.se/publication/312995URI
  • https://doi.org/10.1007/s10040-021-02433-wDOI
  • https://research.chalmers.se/publication/528130URI

Kompletterande språkuppgifter

  • Språk:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Visual analysis of time series in hydrology is frequently seen as a crucial step to becoming acquainted with the nature of the data, as well as detecting unexpected errors, biases, etc. Human eyes, in particular those of a trained expert, are well suited to recognize irregularities and distinct patterns. However, there are limits as to what the eye can resolve and process; moreover, visual analysis is by definition subjective and has low reproducibility. Visual inspection is frequently mentioned in publications, but rarely described in detail, even though it may have significantly affected decisions made in the process of performing the underlying study. This paper presents a visual analysis of groundwater hydrographs that has been performed in relation to attempts to classify groundwater time series as part of developing a new concept for prediction in data-scarce groundwater systems. Within this concept, determining the similarity of groundwater hydrographs is essential. As standard approaches for similarity analysis of groundwater hydrographs do not yet exist, different approaches were developed and tested. This provided the opportunity to carry out a comparison between visual analysis and formal, automated classification approaches. The presented visual classification was carried out on two sets of time series from central Europe and Fennoscandia. It is explained why and where visual classification can be beneficial but also where the limitations and challenges associated with the approach lie. It is concluded that systematic visual analysis of time series in hydrology, despite its subjectivity and low reproducibility, should receive much more attention.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Haaf, Ezra,1985Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)ezra (författare)
  • Nygren, MichelleGothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences,University of Gothenburg(Swepub:gu)xnygmi (författare)
  • Giese, Markus,1985Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences,University of Gothenburg(Swepub:gu)xgiesm (författare)
  • Göteborgs universitetInstitutionen för geovetenskaper (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Hydrogeology Journal: Springer Science and Business Media LLC30, s. 359-781431-21741435-0157

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