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Geostatistical analysis of the Gorran water protection area in Nynäshamn municipality
Stockholm University, Faculty of Science, Department of Physical Geography and Quaternary Geology.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

Groundwater level models have an important role in the development and application of water management and policies. Understanding the temporal and spatial variations of groundwater levels in the Gorran water protection area in Nynäshamn is important for developing management strategies. Geostatistical analysis with several different methods was used to compare groundwater level records for 13 observation wells in Gorran from 1994 to 2012. The performance of the different methods was evaluated by using mean absolute error (MAE) and root mean square error (RMSE) metrics. The results showed that geostatistical methods had a higher general accuracy when utilizing the Empirical Bayesian kriging (EBK) method in Gorran. EBK was the best method with highest precision and lowest mean absolute error. Cross-validation was also applied to evaluate the best (smallest) root mean square error (RMSE). A predicted potentiometric groundwater level was estimated from the basis of the available digital elevation model to extend the observation area within the same geological specification.

Abstract [sv]

Grundvattennivåns modeller har en viktig roll i utvecklingen och tillämpningen av vattenförvaltning och politik. Genom att förstå de tidsmässiga och geografiska variationer grundvattennivån i Gorran skyddat område är viktigt för att utveckla hanteringens strategier.Geostatistical analys med olika modeller som Inverse Distanse Weighted, Radial Basic Funktion och kriging modeller användes för att jämföra grundvattennivåns rekord under 13 observations brunnar 1994 till 2012.

Prestandan hos metoder utvärderades med hjälp av medelabsolutfelet (MAE) och rot medelkvadratfelet (RMSE). Resultatet visade att geostatistiska metoder hade högre noggrannhet och Empirical Bayesian kriging (EBK) var den bästa metoden med högsta precision och lägst medelabsolutfel. Cross-validering applicerades också för att utvärdera de bästa minsta kvadratiska medelvärdet (RMSE). Förutsatt potentiometrisk grundvattennivå genomfördes från digital höjdmodell för att förlänga observations område inom samma geologiska specifikation.

Place, publisher, year, edition, pages
2014. , 66 p.
Keyword [en]
Groundwater, Geostatistical, kriging, Geographic information system (GIS).
National Category
Oceanography, Hydrology, Water Resources
Identifiers
URN: urn:nbn:se:su:diva-108181OAI: oai:DiVA.org:su-108181DiVA: diva2:756339
Presentation
2014-06-23, U26, Stockhol University, Stockholm - SWEDEN., 13:15 (English)
Supervisors
Examiners
Available from: 2014-11-21 Created: 2014-10-13 Last updated: 2014-11-21Bibliographically approved

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Department of Physical Geography and Quaternary Geology
Oceanography, Hydrology, Water Resources

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CiteExportLink to record
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