Abstract

Underground mining is one of the human activities with the highest impact in terms of induced ground motion. The excavation of the mining levels creates pillars, rooms and cavities that can evolve in chimney collapses and sinkholes. This is a major threat where the mining activity is carried out in an urban context. Thus, there is a clear need for tools and instruments able to precisely quantify mining-induced deformation. Topographic measurements certainly offer very high spatial accuracy and temporal repeatability, but they lack in spatial distribution of measurement points. In the past decades, Multi-Temporal Satellite Interferometry (MTInSAR) has become one of the most reliable techniques for monitoring ground motion, including mining-induced deformation. Although with well-known limitations when high deformation rates and frequently changing land surfaces are involved, MTInSAR has been exploited to evaluate the surface motion in several mining area worldwide. In this paper, a detailed scale MTInSAR approach was designed to characterize ground deformation in the salt solution mining area of Saline di Volterra (Tuscany Region, central Italy). This mining activity has a relevant environmental impact, depleting the water resource and inducing ground motion; sinkholes are a common consequence. The MTInSAR processing approach is based on the direct integration of interferograms derived from Sentinel-1 images and on the phase splitting between low (LF) and high (HF) frequency components. Phase unwrapping is performed for the LF and HF components on a set of points selected through a “triplets closure” method. The final deformation map is derived by combining again the components to avoid error accumulation and by applying a classical atmospheric phase filtering to remove the remaining low frequency signal. The results obtained reveal the presence of several subsidence bowls, sometimes corresponding to sinkholes formed in the recent past. Very high deformation rates, up to −250 mm/yr, and time series with clear trend changes are registered. In addition, the spatial and temporal distribution of velocities and time series is analyzed, with a focus on the correlation with sinkhole occurrence.

Highlights

  • Subsidence is a common ground deformation where underground mining activities are carried out

  • There are two common sources of decorrelation that prevent the detection of reliable measurement points: phase aliasing, due to non-linear motions with displacements higher than a quarter of wavelength between two acquisitions, and coherence loss, related to frequent surface changes produced by the mining activity

  • It is worth noting that there are some other moving areas outside the mining areas that may be linked to the motion of complex landslides and small earthflows, which characterize the clayey slopes around Volterra [67]

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Summary

Introduction

Subsidence is a common ground deformation where underground mining activities are carried out. The first example is provided by Raucoles et al [14] These authors analyzed ERS 1/2 radar images by means of a DInSAR approach to measure the subsidence induced by the dissolution of deep salt levels (1900 to 2800 m b.s.l.) in the Vauvert mine (southern France). There are two common sources of decorrelation that prevent the detection of reliable measurement points: phase aliasing, due to non-linear motions with displacements higher than a quarter of wavelength between two acquisitions, and coherence loss, related to frequent surface changes produced by the mining activity. The latter is relevant in case of open pit mines. Tfthrhoicemksnedeeaseusptohcfoo4rr3essmrwe. chToihcgehnsieinzateeurdtshefocortuesdrretschaoelgtsnafialztcedideespfo,ouwsritistbahelttvwfaaerceiinaesb1,l2we2iptahenrdvcae1r6nia5tbamlgeebpeoelrofcwhenastluaitgrefeaacoenf,dhfoagrliytaeptaosnutadml layers and vagryiapbsulemgrlaayinerssiaznedofvathrieabclreygsrtaailns.sSizpeeorfanthzea certyastla. l[s4. 9S]peesratinmzaateetdalt.h[a4t9]haeslittime raetepdretsheant thsatlihtee 40% of the totarelpvroesleunmtsethoef4t0h%e oMf ethsesitnotiaalnvsoelurmiees.of the Messinian series

Mining Activity in the Area of Interest
Sinkhole Database
Buriano-Casanova Mining Area
Poppiano-Volterra Mining Area
Sinkhole-Scale Analysis of the LOS Velocity Values
Findings
Discussion
Conclusions
Full Text
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