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Article

Using Geostatistical Gaussian Simulation for Designing and Interpreting Soil Surface Magnetic Susceptibility Measurements

Warsaw University of Technology, Faculty of Building Services, Hydro and Environmental Engineering, Nowowiejska 20, 00-661 Warszawa, Poland
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Int. J. Environ. Res. Public Health 2019, 16(18), 3497; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16183497
Received: 14 August 2019 / Revised: 15 September 2019 / Accepted: 16 September 2019 / Published: 19 September 2019
This paper presents a new approach to the assessment of the uncertainty of using geostatistical Gaussian simulation in soil magnetometry. In the study area, numerous measurements of soil magnetic susceptibility were made, and spatial distributions of soil magnetic susceptibility were simulated. The parameters of variograms of soil magnetic susceptibility measured in the study area were determined and compared with those of simulated soil magnetic susceptibility. Regardless of the measurement scheme used, reproducibility of the original semivariograms of soil magnetic susceptibility was satisfactorily achieved when applying simulated values. A nugget effect, a sill, and a range of correlations of variograms of simulated values of soil magnetic susceptibility were similar to those of measured values. When the input data for the geostatistical simulation were averaged, the measured values of soil magnetic susceptibility and simulated spatial distributions were characterized by slightly lower standard deviations in comparison with the result of simulations based on the non-averaged, measured ones. At the same time, however, local variability of soil magnetic susceptibility was reproduced less. The accuracy of the calculations of point parameters and spatial distributions—based on the averaged values of soil magnetic susceptibility—were satisfactory, but when using geostatistical methods, it is recommended to use non-averaged magnetic susceptibility measurements. View Full-Text
Keywords: industrial areas; soil magnetometry; soil pollution; uncertainty; spatial variability; geostatistical Gaussian simulation; environment industrial areas; soil magnetometry; soil pollution; uncertainty; spatial variability; geostatistical Gaussian simulation; environment
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MDPI and ACS Style

Fabijańczyk, P.; Zawadzki, J. Using Geostatistical Gaussian Simulation for Designing and Interpreting Soil Surface Magnetic Susceptibility Measurements. Int. J. Environ. Res. Public Health 2019, 16, 3497. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16183497

AMA Style

Fabijańczyk P, Zawadzki J. Using Geostatistical Gaussian Simulation for Designing and Interpreting Soil Surface Magnetic Susceptibility Measurements. International Journal of Environmental Research and Public Health. 2019; 16(18):3497. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16183497

Chicago/Turabian Style

Fabijańczyk, Piotr, and Jarosław Zawadzki. 2019. "Using Geostatistical Gaussian Simulation for Designing and Interpreting Soil Surface Magnetic Susceptibility Measurements" International Journal of Environmental Research and Public Health 16, no. 18: 3497. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16183497

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