Abstract
Fractal geometry is widely applied in the process description of contaminant transport, but few studies quantify the complexity of contaminant plume in the time series. Although the required accuracy is outside the scope of existent characterization methods, the model of solute transport remains the most sensitive issue for researchers due to its fractal behaviour. In this paper, a synthetic model is firstly presented under the condition of homogeneous/heterogeneous aquifer with different dispersivities and numbers of continuous point leakage sources. The new Hausdorff fractal dimension for the contaminant plume in the time series is obtained by the 3D box-counting method. According to the comparison among different hydro-geologic conditions, the result shows that the complexity of the contaminant plume decreases to the constant value with the passage time when the dispersivity increases and the number of point leakage sources rises. The decreasing fractal dimension is matched with the power-exponential function. The effect resulted from the number of point sources is tended to be weak when the amount is enormous. It is showed that the number of point leakage sources does not make a noticeable distinction in the homogeneous and heterogeneous aquifers.
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Ai, T., Zhang, R., Hw, Z., & Jl, P. (2014). Box-counting methods to directly estimate the fractal dimension of a rock surface. Applied Surface Science, 314, 610–621. https://doi.org/10.1016/j.apsusc.2014.06.152.
Allwright, A., & Atangana, A. (2018). Fractal advection-dispersion equation for groundwater transport in fractured aquifers with self-similarities. The European Physical Journal Plus, 133(2), 48. https://doi.org/10.1140/epjp/i2018-11885-3.
Bashi-Azghadi, S., Kerachian, R., Bazargan-Lari, M., & Nikoo, M. (2016). Pollution source identification in groundwater systems: application of regret theory and Bayesian networks. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 40(3), 241–249. https://doi.org/10.1007/s40996-016-0022-3.
Bear, J. (1972). Dynamics of fluids in porous media. New York, London, Amsterdam: Ameican Elsevier.
Benson, D. A., Schumer, R., Meerschaert, M., & Wheatcraft, S. (2001). Fractional dispersion, Lévy motion, and the MADE tracer tests. Transport in Porous Media, 42(1), 211–240. https://doi.org/10.1023/A:1006733002131.
Bjerg, P., Hinsby, K., Christensen, T., & Gravesen, P. (1992). Spatial variability of hydraulic conductivity of an unconfined sandy aquifer determined by a mini slug test. Journal of Hydrology, 136(1), 107–122. https://doi.org/10.1016/0022-1694(92)90007-I.
Bouboulis, P., Dalla, L., & Drakopoulos, V. (2006). Construction of recurrent bivariate fractal interpolation surfaces and computation of their box-counting dimension. Journal of Approximation Theory, 141(2), 99–117. https://doi.org/10.1016/j.jat.2006.01.006.
Carr, J. (1997). Statistical self-affinity, fractal dimension, and geologic interpretation. Engineering Geology, 48(3), 269–282. https://doi.org/10.1016/S0013-7952(97)00042-2.
Chen, K., & Hsu, K.-c. (2007). A general fractal model of flow and solute transport in randomly heterogeneous porous media. Water Resources Research, 431. https://doi.org/10.1029/2007WR005934.
Chen, X., Mi, H., He, H., Liu, R., Gao, M., Huo, A., & Cheng, D. (2014). Hydraulic conductivity variation within and between layers of a high floodplain profile. Journal of Hydrology, 515, 147–155. https://doi.org/10.1016/j.jhydrol.2014.04.052.
Chen, G., Sun, Y., Liu, J., Lu, S., Feng, L., & Chen, X. (2018). The effects of aquifer heterogeneity on the 3D numerical simulation of soil and groundwater contamination at a chlor-alkali site in China. Environmental Earth Sciences, 77(24), 797. https://doi.org/10.1007/s12665-018-7979-0.
Chen, G., Sun, Y., Xu, Z., & Shan, X. (2019). Assessment of shallow groundwater contamination resulting from a municipal solid waste landfill-a case study in Lianyungang, China. Water, 11(12), 2496. https://doi.org/10.3390/w11122496.
Cheng, Q. (1995). The perimeter-area fractal model and its application to geology. Mathematical Geology, 27(1), 69–82. https://doi.org/10.1007/BF02083568.
Datta, B., Amirabdollahian, M., Zuo, R., & Prakash, O. (2016). Groundwater contamination plume delineation using local singularity mapping technique. International Journal of Geomate, 11(3), 2435–2441.
Deng, Y., Xibing, Y., Songyu, L., Yonggui, C., & Dingwen, Z. (2015). Hydraulic conductivity of cement-stabilized marine clay with metakaolin and its correlation with pore size distribution. Engineering Geology, 193, 146–152. https://doi.org/10.1016/j.enggeo.2015.04.018.
Esfahani, H., & Datta, B. (2018). Fractal singularity–based multiobjective monitoring networks for reactive species contaminant source characterization. Journal of Water Resources Planning & Management, 144(6), 4018021.
Falconer, K. (2013). Fractal geometry: mathematical foundations and applications. England: John Wiley & Sons.
Frippiat, C., & Holeyman, A. (2008). A comparative review of upscaling methods for solute transport in heterogeneous porous media. Journal of Hydrology, 362(1–2), 150–176. https://doi.org/10.1016/j.jhydrol.2008.08.015.
Gallos, L., Song, C., & Makse, H. (2007). A review of fractality and self-similarity in complex networks. Physica A: Statistical Mechanics and its Applications, 386(2), 686–691. https://doi.org/10.1016/j.physa.2007.07.069.
Gelhar, L., & Axness, C. (1983). Three-dimensional stochastic analysis of macrodispersion in aquifers. Water Resources Research, 19(1), 161–180. https://doi.org/10.1029/WR019i001p00161.
Goulart, A., Lazo, M., & Suarez, J. (2019). A new parameterization for the concentration flux using the fractional calculus to model the dispersion of contaminants in the planetary boundary layer. Physica A: Statistical Mechanics and its Applications, 518, 38–49. https://doi.org/10.1016/j.physa.2018.11.064.
Hatano, R., Kawamura, N., Ikeda, J., & Sakuma, T. (1992). Evaluation of the effect of morphological features of flow paths on solute transport by using fractal dimensions of methylene blue staining pattern. Geoderma, 53(1), 31–44. https://doi.org/10.1016/0016-7061(92)90019-4.
Hergarten, S., & Birk, S. (2007). A fractal approach to the recession of spring hydrographs. Geophysical Research Letters, 34(11). https://doi.org/10.1029/2007GL030097.
Kirchner, J., Feng, X., & Neal, C. (2000). Fractal stream chemistry and its implications for contaminant transport in catchments. Nature, 403(6769), 524–527. https://doi.org/10.1038/35000537.
Li, J., Du, Q., & Sun, C. (2009). An improved box-counting method for image fractal dimension estimation. Pattern Recognition, 42(11), 2460–2469. https://doi.org/10.1016/j.patcog.2009.03.001.
Lin, M., Lajiao, C., Yan, M.. (2013). Research on stream flow series fractal dimension analysis and its relationship with soil erosion. 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, Melbourne, VIC, Australia, 1821–1823. doi: https://doi.org/10.1109/IGARSS.2013.6723154.
Liu, H., & Molz, F. (1997). Multifractal analyses of hydraulic conductivity distributions. Water Resources Research, 33(11), 2483–2488. https://doi.org/10.1029/97WR02188.
Lopes, R., & Betrouni, N. (2009). Fractal and multifractal analysis: A review. Medical Image Analysis, 13(4), 634–649. https://doi.org/10.1016/j.media.2009.05.003.
Mandelbrot, B. (1986). Self-affine fractal sets, I: The basic fractal dimensions. In Pietronero L, Tosatti E (Eds.), Fractals in Physics (3-15). Amsterdam: Elsevier. (reprinted. Doi: https://doi.org/10.1016/B978-0-444-86995-1.50004-4.
McCarter, C., Rezanezhad, F., Gharedaghloo, B., Js, P., & Van Cappellen, P. (2019). Transport of chloride and deuterated water in peat: the role of anion exclusion, diffusion, and anion adsorption in a dual porosity organic media. Journal of Contaminant Hydrology, 225, 103497. https://doi.org/10.1016/j.jconhyd.2019.103497.
Mukhopadhyay, B., Mukherjee, P., Bhattacharya, D., & Sengupta, S. (2006). Delineation of arsenic-contaminated zones in Bengal Delta, India: a geographic information system and fractal approach. Environmental Geology, 49(7), 1009–1020. https://doi.org/10.1007/s00254-005-0139-3.
Puente, C., Robayo, O., Díaz, M., & Sivakumar, B. (2001a). A fractal-multifractal approach to groundwater contamination. 1. Modeling conservative tracers at the Borden site. Stochastic Environmental Research and Risk Assessment, 15(5), 357–371. https://doi.org/10.1007/PL00009791.
Puente, C., Robayo, O., & Sivakumar, B. (2001b). A fractal-multifractal approach to groundwater contamination. 2. Predicting conservative tracers at the Borden site. Stochastic Environmental Research and Risk Assessment, 15(5), 372–383. https://doi.org/10.1007/s004770100075.
Schumer, R., & Benson, D. A. (2003). Fractal mobile/immobile solute transport. Water Resources Research, 39(10), 1296. https://doi.org/10.1029/2003WR002141.
Seshadri, V., & West, B. (1982). Fractal dimensionality of Levy processes. Applied Mathematical Sciences, 79, 450–4505.
Shlomi, S. (2009). Combining geostatistical analysis and flow-and-transport models to improve groundwater contaminant plume estimation. Dissertation: University of Michigan.
Singh, H., Pandey, R., Singh, J., & Tripathi, M. (2019). A reliable numerical algorithm for fractional advection-dispersion equation arising in contaminant transport through porous media. Physica A: Statistical Mechanics and its Applications, 527, 121077. https://doi.org/10.1016/j.physa.2019.121077.
Sivakumar, B., Harter, T., & Zhang, H. (2005). A fractal investigation of solute travel time in a heterogeneous aquifer: transition probability/Markov chain representation. Ecological Modelling, 182(3), 355–370. https://doi.org/10.1016/j.ecolmodel.2004.04.010.
So, G.-b., So, H.-r., & Jin, G.-g. (2017). Enhancement of the box-counting algorithm for fractal dimension estimation. Pattern Recognition Letters, 98, 53–58. https://doi.org/10.1016/j.patrec.2017.08.022.
Sun, H., Li, Z., Zhang, Y., Chen, W. (2017). Fractional and fractal derivative models for transient anomalous diffusion: Model comparison. Chaos, Solitons & Fractals, 102, 346-353. doi: https://doi.org/10.1016/j.chaos.2017.03.060.
Vomvoris, E., & Gelhar, L. (1990). Stochastic analysis of the concentration variability in a three-dimensional heterogeneous aquifer. Water Resources Research, 26(10), 2591–2602. https://doi.org/10.1029/WR026i010p02591.
Xu, W., Liang, Y., Chen, W., & Cushman, J. (2019). A spatial structural derivative model for the characterization of superfast diffusion/dispersion in porous media. International Journal of Heat and Mass Transfer, 139, 39–45. https://doi.org/10.1016/j.ijheatmasstransfer.2019.05.001.
Yanagawa, F., Onuki, Y., Morishita, M., & Takayama, K. (2006). Involvement of fractal geometry on solute permeation through porous poly (2-hydroxyethyl methacrylate) membranes. Journal of Controlled Release, 110(2), 395–399. https://doi.org/10.1016/j.jconrel.2005.10.015.
Yenigül, N., Hensbergen, A., Elfeki, A., & Dekking, F. (2011). Detection of contaminant plumes released from landfills: numerical versus analytical solutions. Environmental Earth Sciences, 64(8), 2127–2140. https://doi.org/10.1007/s12665-011-1039-3.
Zhan, H., & Wheatcraft, S. (1996). Macrodispersivity tensor for nonreactive solute transport in isotropic and anisotropic fractal porous media: analytical solutions. Water Resources Research, 32(12), 3461–3474.
Zhang, Y., Meerschaert, M., & Neupauer, R. (2016). Backward fractional advection dispersion model for contaminant source prediction. Water Resources Research, 52(4), 2462–2473. https://doi.org/10.1002/2015WR018515.
Zhang, Y., Sun, H., Stowell, H., Zayernouri, M., & Hansen, S. (2017). A review of applications of fractional calculus in earth system dynamics. Chaos, Solitons & Fractals, 102, 29–46. https://doi.org/10.1016/j.chaos.2017.03.051.
Zhu, P., Cheng, Q., & Guoxiong, C. (2019). New fractal evidence of Pacific plate subduction in the late Mesozoic, Great Xing’an range, Northeast China. Journal of Earth Science, 30(5), 1031–1040. https://doi.org/10.1007/s12583-019-1216-y.
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The authors would also acknowledge the anonymous reviewers for detailed comments on the improvement of this paper.
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This work was supported by the National Science Foundation of China (Grant Nos. 4F180035 and U1710253).
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Chen, G., Sun, Y. & Xu, Z. A Novel Approach to Assess the Complexity of Contaminant Plume Transportation in the Aquifer Based on Hausdorff Fractal Dimension. Water Air Soil Pollut 231, 145 (2020). https://doi.org/10.1007/s11270-020-04527-9
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DOI: https://doi.org/10.1007/s11270-020-04527-9