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A modeling study on the relationship between heavy metal contamination in soil and the amplitude properties of georadar electromagnetic waves

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Abstract

In this study, the amplitude data of geo-radar electromagnetic (EM) waves were extracted using EM wave property analysis software, and the variation relationship between the heavy metal concentrations measured in the field and the geo-radar EM wave was analyzed to construct the characteristic function of geo-radar signal waves and heavy metal pollution. Heavy metal concentrations were obtained through inversion and compared with the measured heavy metal concentrations to further explore the feasibility of inversion by geo-radar signal waves. The variations of electromagnetic wave amplitude properties with burial depth on different profiles were analyzed, and it was concluded that the variation of the mean absolute amplitude for geo-radar electromagnetic waves was most consistent with the variation in burial depth. The trend of mean absolute amplitude was found to have a significant correlation coefficient (0.8329). The root mean square (RMS) amplitude fluctuated between 2000 and 3000 as the concentration stayed in the range of 250–300 mg/kg and stabilized around 1000 in the concentration range of 50–100 mg/kg. The mean absolute amplitude showed a similar trend to the RMS amplitude, displaying decreasing amplitude within the concentration range of 50–100 mg/kg. The characteristic function of heavy metal pollution concentration and EM wave amplitude was expressed as \(c=-0.00006\times {{F}_{{\text{a}}}}^{2}\text{+0.36}\times {F}_{{\text{a}}}-247.52\), which could be used to predict the actual heavy metal concentration changes through the changes in mean absolute amplitude. This provides a theoretical foundation for developing a model of the relationship between heavy metal pollution concentrations and electromagnetic wave amplitudes.

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References

  • Carbonel D, Verónica V, Gutiérrez F et al (2014) Evaluation of trenching, ground penetrating radar (GPR) and electrical resistivity tomography (ERT) for sinkhole characterization. Earth Surf Process Landforms 39(32):214

    Article  Google Scholar 

  • Di Matteo A, MSlob E (2013) Early-time GPR signal attributes to estimate soil dielectric permittivity: a theoretical study. IEEE Trans Geosci Remote Sens 51(53):1643

    Article  Google Scholar 

  • Doolittle AJ et al (1998) A comparison of EM induction and GPR methods in areas of karst. Geoderma 85:83–102

    Article  Google Scholar 

  • Kadara RO, Tothill L (2005) Resolving the copper interference effect on the stripping chronopotentiometric response of lead (II) obtained at bismuth film screen-printed electrode. Talanta 66:1089

    Article  CAS  Google Scholar 

  • Kanli MI et al (2015) Electromagnetic measurements for monitoring molybdenum contamination in near-surface survey. Earth Sci Res J 19:107–111

    Article  Google Scholar 

  • Kashem MA, Kawai S, Kikuchi N et al (2010) Effect of lherzolite on chemical fractions of Cd and Zn and their uptake by plants in contaminated soil. Water Air Soil Pollut 207:241–251

    Article  Google Scholar 

  • Kodom K, Wiafe-Akenten J, Boamah D et al (2010) Soil heavymetal pollution along subin river in Kumasi, Ghana; using X-ray fluorescence (XRF) analysis. Powder Diffract 24(22):101–108

    Google Scholar 

  • Li B, Wang MH, Cao W et al (2011) Research on heavy metal ions detection in soil with terahertz time-domain spectroscopy. Int Sympos Photoelectron Detect Imag 2011(8195):485

    Google Scholar 

  • Little MG, Lee CT (2010) Sequential extraction of labile elements and chemical characterization of a basaltic soil from Mt. Meru, Tanzania. Afr Earth Sci 57:444

    Article  CAS  Google Scholar 

  • Mireles A, Solis C, Andrade E et al (2004) Heavy metal accumulation in plants and soil irrigated with wastewater from Mexicocity. Nucl Instrum Methods Phys Res 219:187–190

    Article  Google Scholar 

  • Nyari Z et al (2007) Imaging of buried 3D objects by using electrical profiling methods with GPR and 3D geoelectrical measurements. J Geophys Eng 4(1):83–83

    Article  Google Scholar 

  • Pan J, Zhang L, Wu H et al (2012) Effect of soil organic substance on soil dielectric constant. J Remote Sens 16(11):1–24

    Google Scholar 

  • Pepin S, Livingston NJ, Hook WR (1995) Temperature-dependent, measurement errors in time domain reflecotometry determinations of soil water. Soil Sci Soc Am J 59(51):38

    Article  Google Scholar 

  • Robinson DA, Bell J, Bahelor CH (1994) Influence of iron minerals on the determination of soil water content using dielectric techniques. J Hydrol 161(163):169

    Article  CAS  Google Scholar 

  • Roth K, Schulin R, Fluhler H et al (1990) Calibration of time domain reflectometry for water content measurement using a composite approach. Water Resour Res 26(10):2267

    Google Scholar 

  • Roth K, Malicki MA, Plagge R (1992) Empirical evaluation of the relationship soil dielectric constant and volumetric water content as the basis for cailbrating soil moisture measurements by TDR. Soil Sci Soc Am J 43(41):1–13

    Google Scholar 

  • Sass O (2006) Geophysical investigation of a relict talus slope in the Bavarian Alps, Germany. Z Geomorphol 50:447–463

    Article  Google Scholar 

  • Schmalz B, Lennart B, Wachsmuth D (2002) Analyses of soil water content variations and GPR attribute distributions. J Hydrol 267(263–264):217

    Article  CAS  Google Scholar 

  • Tallini M, Gasbarri D, Ranalli D et al (2006) Investigating epikarst using low-frequency GPR: example from the Gran Sasso range (Central Italy). Bull Eng Geol Environ 65(64):435

    Article  CAS  Google Scholar 

  • Tildy P et al (2017) Time lapse 3D geoelectric measurements for monitoring of in-situ remediation. J Appl Geophys 136:99

    Article  Google Scholar 

  • Yüce Meral NH, Gnül D (2010) An advanced investigation on a new algal sensor determining Pb(II) ions from aqueous media. Biosens Bioelectron 26(22):321

    Article  Google Scholar 

  • Zaki H (1996) Ground-penetrating radar (GPR) for imaging stratigraphic features and groundwater in sand dunes. J Appl Geophys 36:43

    Article  Google Scholar 

Download references

Acknowledgements

Throughout the writing of this dissertation I have received a great deal of support and assistance. I would particularly like to acknowledge my team members, Leicheng Li, Yu Liu, for their wonderful collaboration and patient support. I would also like to thank my tutors, Guizhang Zhao, for their valuable guidance throughout my studies. You provided me with the tools that I needed to choose the right direction and successfully complete my dissertation

Funding

This work was supported by the National Natural Science Foundation of China (41972261) and the Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (2021490511).

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Authors and Affiliations

  1. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China

    Huan Zhu

  2. Earth Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China

    Jiale Cheng

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  1. Huan Zhu
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  2. Jiale Cheng
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Methodology, writing—original draft preparation, Jiale Cheng.; writing—review and editing, Huan Zhu.

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Correspondence to Jiale Cheng.

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Zhu, H., Cheng, J. A modeling study on the relationship between heavy metal contamination in soil and the amplitude properties of georadar electromagnetic waves. Environ Earth Sci 83, 222 (2024). https://doi.org/10.1007/s12665-024-11513-5

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