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An evaluation of potential sampling locations in a reservoir with emphasis on conserved spatial correlation structure
Date
2015-01-01
Author
YENİLMEZ, Firdes
Duzgun, Sebnem
Aksoy, Ayşegül
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this study, kernel density estimation (KDE) was coupled with ordinary two-dimensional kriging (OK) to reduce the number of sampling locations in measurement and kriging of dissolved oxygen (DO) concentrations in Porsuk Dam Reservoir (PDR). Conservation of the spatial correlation structure in the DO distribution was a target. KDE was used as a tool to aid in identification of the sampling locations that would be removed from the sampling network in order to decrease the total number of samples. Accordingly, several networks were generated in which sampling locations were reduced from 65 to 10 in increments of 4 or 5 points at a time based on kernel density maps. DO variograms were constructed, and DO values in PDR were kriged. Performance of the networks in DO estimations were evaluated through various error metrics, standard error maps (SEM), and whether the spatial correlation structure was conserved or not. Results indicated that smaller number of sampling points resulted in loss of information in regard to spatial correlation structure in DO. The minimum representative sampling points for PDR was 35. Efficacy of the sampling location selection method was tested against the networks generated by experts. It was shown that the evaluation approach proposed in this study provided a better sampling network design in which the spatial correlation structure of DO was sustained for kriging.
Subject Keywords
Monitoring network
,
Representative sampling
,
Kriging
,
Kernel density estimation
,
Water quality
URI
https://hdl.handle.net/11511/39475
Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
DOI
https://doi.org/10.1007/s10661-014-4216-5
Collections
Department of Environmental Engineering, Article