1887

Abstract

Summary

In Italy, during the last decades, the infiltration ponds are increasingly used to dispose of effluent in the subsurface, according to the current regulation DL 152/06.

In Apulia Region, Southern Italy, about 30 wastewater treatment plants are connected to an infiltration ponds network where the effluent is naturally infiltrated in the unsaturated zone, exploiting its natural filtering capacities against organics, chemicals and contaminants.

At the same time, this approach could be particularly efficient in treatment plants located near the coastline to face contamination phenomena such as salt-water intrusion, as well as to artificially recharge shallow aquifer. The infiltration ponds are typically subjected to cyclic saturation and desaturation conditions that can affect the hydrological properties of the filtering medium, hence itd life cycle. Therefore, for the optimal management of the infiltration ponds, a detailed monitoring of infiltration dynamics is required. In the experimental test area of Castellana Grotte, more than 2000 m3/day are alternatively infiltrated into nine infiltration ponds. In order to evaluate infiltration patterns under different hydrological conditions, a time-lapse Electrical Resistivity Tomography (ERT) has been carried out in two periods of the year, in March and July, corresponding about to the maximum and minimum rainfall periods of a hydrological year.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201802641
2018-09-09
2024-03-29
Loading full text...

Full text loading...

References

  1. BinleyA., and A.Kemna
    . 2005. DC resistivity and induced polarization methods. pp: 129–156 In: Y.Rubin and S.S.Hubbard (eds). Hydrogeophysics. Springer.
    [Google Scholar]
  2. Farzamian, M., Monteiro Santos, F.A., and KhalilM.A.
    2015. Estimation of unsaturated hydraulic parameters in sandstone using electrical resistivity tomography under a water injection test. Journal of Applied Geophysics. 121: 71–83
    [Google Scholar]
  3. Haaken, K., Furman, A., Weisbrod, N., and KemnaA.
    2016. Time-Lapse Electrical Imaging of Water Infiltration in the Context of Soil Aquifer Treatment. Vadose Zone J. doi:10.2136/vzj2016.04.0028
    https://doi.org/10.2136/vzj2016.04.0028 [Google Scholar]
  4. Hubbard, S. S., and Y.Rubin
    , 2000, Hydrogeological parameter estimation using geophysical data: a review of selected techniques. Journal of Contaminant Hydrology, 45, no.1-2, 3–34, doi:10.1016/S0169‑7722(00)00117‑0.
    https://doi.org/10.1016/S0169-7722(00)00117-0 [Google Scholar]
  5. Pollock, D., and O. A.Cirpka
    , 2012, Fully coupled hydrogeophysical inversion of a laboratory salt tracer experiment monitored by electrical resistivity tomography: Water Resources Research, 48, W01505, doi:10.1029/2011wr010779
    https://doi.org/10.1029/2011wr010779 [Google Scholar]
  6. Singha, K., and Gorelick, S.M.
    2006, Effects of spatially variable resolution on field-scale estimates of tracer concentration from electrical inversions using Archie’s law: Geophysics, v. 71, no. 3, p. G83–G91.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201802641
Loading
/content/papers/10.3997/2214-4609.201802641
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error