prikaz prve stranice dokumenta Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error
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Scientific paper - Original scientific paper
Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error
Hydrology, 10 (2023), 10; 1-19. https://doi.org/10.3390/hydrology10100199
Kovač, Ivan; Šrajbek, Marko; Klišanin, Nikolina; Gilja, Gordon

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Kovač, I., Šrajbek, M., Klišanin, N. & Gilja, G. (2023). Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error. Hydrology, 10. (10), 1-19. doi: 10.3390/hydrology10100199

Kovač, Ivan, et al. "Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error." Hydrology, vol. 10, no. 10, 2023, pp. 1-19. https://doi.org/10.3390/hydrology10100199

Kovač, Ivan, Marko Šrajbek, Nikolina Klišanin and Gordon Gilja. "Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error." Hydrology 10, no. 10 (2023): 1-19. https://doi.org/10.3390/hydrology10100199

Kovač, I., et al. (2023) 'Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error', Hydrology, 10(10), pp. 1-19. doi: 10.3390/hydrology10100199

Kovač I, Šrajbek M, Klišanin N, Gilja G. Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error. Hydrology [Internet]. 2023 [cited 2024 November 13];10(10):1-19. doi: 10.3390/hydrology10100199

I. Kovač, M. Šrajbek, N. Klišanin and G. Gilja, "Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error", Hydrology, vol. 10, no. 10, pp. 1-19, 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:237:736017. [Accessed: 13 November 2024]

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Metadata
Title (english)Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error
AuthorIvan Kovač
AuthorMarko Šrajbek
AuthorNikolina Klišanin
AuthorGordon Gilja
Author's institutionUniversity of Zagreb
Faculty of Civil Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Abstract (english)
The localization of pollution sources is one of the main tasks in environmental engineering. For this paper, models of spatial distribution of nitrate concentration in groundwater were created, and the point of highest concentration was determined. This point represents the assumed location of the pollution source and differs from the actual location, so there is a certain distance between the measured and assumed location. This paper puts forward a new hypothesis that the distance between the measured and the assumed location is a function of the variance of the estimation error. The scientific contribution of this paper is based on the fact that the interaction of statistical and geostatistical methods can locate the dominant point source of pollution or narrow down the search area. The above hypothesis is confirmed by the example of the Varaždin wellfield, which was closed due to an excessively high groundwater nitrate concentration. Seven different interpolation methods were used to create spatial distribution models. Each method provides a different model, a different variance of the estimation error, and estimates of the location of the pollution source. The smallest value of variance of the estimation error of 1.65 was obtained for the minimum curvature interpolation method and the largest value of variance (24.49) was obtained for the kriging with logarithmic variogram. Our results show a nonlinear and monotonic relationship between the distance and the variance of the estimation error, so logarithmic and rational quadratic models were fitted to the scatter point data. The models were linearized, a t-test was performed, and the results show that the models can be considered reliable, which is confirmed by the values of the coefficients of determination of the linearized models, which are around 0.50. The obtained results can be used in planning additional research work to determine the measured location of the pollution source. The research methodology we used is universal and can be applied to other locations where high concentrations of certain contaminants have been detected in groundwater in alluvial aquifers.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleHydrology
Numberingvol. 10, no. 10, pp. 1-19, 199
e-ISSN2306-5338
DOIhttps://doi.org/10.3390/hydrology10100199
URN:NBNurn:nbn:hr:237:736017
Publication2023
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-05 08:40:17