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A multidisciplinary approach for landslide residual risk assessment: the Pomarico landslide (Basilicata Region, Southern Italy) case study

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Abstract

On 25 and 29 January 2019, a large landslide destroyed an important part of the town of Pomarico (Basilicata Region, Southern Italy). Geological and geomorphological investigations provided a detailed description of the landslide features. Several geophysical surveys were carried out to deepen knowledge of the landslide and the residual risk assessment. Detailed electrical resistivity tomography (ERT), multichannel analysis of surface waves (MASW), and seismic refraction tomography (SRT) have been used to analyze geomorphological evidences of the failure and the potential kinematic evolution of the landslide scarp, a crucial factor to assess landslide residual risk. The joint analyses of the geophysical results, compared with geological and geomorphological data, allowed to obtain detailed information about the stratigraphic contact between clayey and sandy deposits in the crown area of the landslide, and to identify the post-failure stability condition changes in sands. The geophysical analyses confirmed the presence of multiple old degraded scarps developed over time and provided information on the decompression state of the different areas of the landslide crown. The results highlighted a subparallel stratification consisting of an anthropic surface carry-over material, which covers a layer of sands with silty intercalations, overlying clayey material that represents the bedrock of the investigated area. Furthermore, natural and anthropogenic caves, mainly developed in well-cemented layers of sands, were identified. This study emphasized how the integration of different geophysical methods constitutes a capable tool for characterizing landslides, contributing to assessing the landslide residual risk of the slope mass and evaluating the suitability of the methods in relation to the investigated landslide conditions.

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References

  • Anomohanran O (2012) Geophysical interpretation of seismic reflection data obtained from Umureute and Amiynaibo area of Delta state, Nigeria. Nigerian J Sci Environ 11:148–153

    Google Scholar 

  • Anomohanran O (2013) Seismic refraction method: a technique for determining the thickness of stratified substratum. Am J Appl Sci 10(8):857–862

    Article  Google Scholar 

  • Ayolabi EA, Adeoti L, Oshinlaja NA, Adeosun IO, Idowu OI (2009) Seismic refraction and resistivity studies of part of Igbogbo township, south-west Nigeria. J Scient Res Dev 11:42–61

    Google Scholar 

  • Balduzzi A, Casnedi R, Crescenti U, Mostardini F, Tonna M (1982) Il Plio-Pleistocene del sottosuolo del bacino lucano (avanfossa appenninica). Geol Romana 21:89–111

    Google Scholar 

  • Barbarella M, Fiani M, Lugli A (2015) Landslide monitoring using multitemporal terrestrial laser scanning for ground displacement analysis. Geomat Nat Haz Risk 6(5-7):398–418

  • Bellanova J, Calamita G, Giocoli A, Luongo R, Macchiato M, Perrone A, Uhlemann S, Piscitelli S (2018) Electrical resistivity imaging for the characterization of the Montaguto landslide (Southern Italy). Eng Geol 243:272–281

    Article  Google Scholar 

  • Borrelli L, Antronico L, Gullà G, Marino Sorriso-Valvo G (2014) Geology, geomorphology and dynamics of the 15 February 2010 Maierato landslide (Calabria, Italy). Geomorphology 208:50–73

    Article  Google Scholar 

  • Bozzano F, Cherubini C, Floris M, Lupo M, Paccapelo F (2002) Landslide phenomena in the area of Pomarico (Basilicata–Italy): methods for modelling and monitoring. Phys Chem Earth 27:1601–1607

    Article  Google Scholar 

  • Burdziakowski P, Tysiac P (2019) Combined close range photogrammetry and terrestrial laser scanning for ship hull modelling. Geosciences 9:242

  • Calamita G, Perrone A, Brocca L, Straface S (2017) Soil electrical resistivity for spatial sampling design, prediction, and uncertainty modeling of soil moisture. Vadose Zone J 16(10)

  • Calamita G, Serlenga V, Stabile TA, Gallipoli MR, Bellanova J, Bonano M, Casu F, Vignola L, Piscitelli S, Perrone A (2019) An integrated geophysical approach for urban underground characterization: the Avigliano town (Southern Italy) case study. Geomat Nat Haz Risk 10(1):412–432. https://doi.org/10.1080/19475705.2018.1526220

  • Calista M, Miccadei E, Piacentini T, Sciarra N (2019) Morphostructural, meteorological and seismic factors controlling landslides in weak rocks: the case studies of Castelnuovo and Ponzano (North East Abruzzo, Central Italy). Geosciences 9(3):122. https://doi.org/10.3390/geosciences9030122

    Article  Google Scholar 

  • Calò F, Ardizzone F, Castaldo R, Lollino P, Tizzani P, Guzzetti F, Lanari R, Angeli M-G, Pontoni F, Manunta M (2014) Enhanced landslide investigations through advanced DInSAR techniques: the Ivancich case study, Assisi, Italy. Remote Sens Environ 142:69–82

    Article  Google Scholar 

  • Casagli N, Catani F, Del Ventisette C, Luzi G (2010) Monitoring, prediction, and early warning using ground-based radar interferometry. Landslides 7(3):291–301

    Article  Google Scholar 

  • Casagli N, Frodella W, Morelli S, Tofani V, Ciampalini A, Intrieri E, Raspini F, Rossi G, Tanteri L, Lu P (2017) Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning. Geoenviron Disasters 4:9

    Article  Google Scholar 

  • Crosta GB, Agliardi F, Rivolta C, Alberti S, Dei Cas L (2017) Long-term evolution and early warning strategies for complex rockslides by real-time monitoring. Landslides 4(5):1615–1632

    Article  Google Scholar 

  • Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides: investigation and mitigation, Sp. Rep. 247, Transportation Research Board, National research Council. National Academy Press, Washington DC, pp 36–75

    Google Scholar 

  • De Marco A, Di Pierro M (1981) Le argille in frana di Pomarico (Matera). Studio granulometrico e mineralogico. Rend SIMP 37(1):213–227

  • Doglioni A, Crosta GB, Frattini P, Melidoro NL, Simeone V (2015) Predicting Landslide displacements by multi-objective evolutionary polynomial regression. Engineering Geology for Society and Territory – Volume 5 ISBN: 978-3-319-09047-4; https://doi.org/10.1007/978-3-319-09048-1_127.

  • Doglioni A, Berardi C, Simeone V (2016) Multi temporal 2D discrete wavelet analysis of a large deep landslide, Rend. Online Soc Geol It 41:143–146. ISSN 20135-8008. https://doi.org/10.3301/ROL.2016.114

    Article  Google Scholar 

  • Doglioni A, Casagli N, Nocentini M, Sdao F, Simeone V (2020) The landslide of Pomarico, South Italy, occurred on January 29th 2019. Landslides. https://doi.org/10.1007/s10346-020-01455-x

  • Frodella W, Ciampalini A, Bardi F, Salvatici T, Di Traglia F, Basile G, Casagli N (2018) A method for assessing and managing landslide residual hazard in urban areas. Landslides 15:183–197

    Article  Google Scholar 

  • Galeandro A, Simunek J, Simeone V (2013) Analysis of rainfall infiltration effects on the stability of pyroclastic soil veneer affected by vertical drying shrinkage fractures. Bull Eng Geol Environ 72(3-4):447–455. https://doi.org/10.1007/s10064-013-0492-5

    Article  Google Scholar 

  • Glade T, Anderson M, Crozier MJ (2012) Landslide hazard and risk. Wiley, J. & Sons

  • IFFI Project (Inventario dei Fenomeni Franosi in Italia). ISPRA, Dipartimento Difesa del Suolo, Servizio Geologico d’Italia. Available online: http://www.progettoiffi.isprambiente.it/cartanetiffi/ (accessed on May 2020)

  • Igboekwe MU, Ohaegbuchu HE (2011) Investigation into the weathering layer using up-hole method of seismic refraction. J Geol Min Res 3:73–86

    Google Scholar 

  • Jongmans D, Garambois S (2007) Geophysical investigation of landslides: a review. Bull Soc Geol Fr 178(2):101–112

    Article  Google Scholar 

  • Lapenna V, Lorenzo P, Perrone A, Piscitelli S, Rizzo E, Sdao F (2005) 2D electrical resistivity imaging of some complex landslides in Lucanian Apennine chain, Southern Italy. Geophysics 70:B11–B18

    Article  Google Scholar 

  • Lazzari M, Piccarreta M, Capolongo D (2013) Landslide triggering and local rainfall thresholds in Bradanic Foredeep, Basilicata Region (Southern Italy). In: Margottini C, Canuti P, Sassa K (eds) Landslide science and practice. Springer, Berlin

    Google Scholar 

  • Lazzari M, Gioia D, Anzidei B (2018) Landslide inventory of the Basilicata Region (Southern Italy). J Maps 14:348–356

    Article  Google Scholar 

  • Le Roux O, Jongmans D, Kasperski J, Schwartz S, Potherat P, Lebrouc V, Lagabrielle R, Meric O (2011) Deep geophysical investigation of the large Séchilienne landslide (Western Alps, France) and calibration with geological data. Eng Geol 120:18–31

    Article  Google Scholar 

  • Leite O, Truffert C, Gance J, Texier B, Bernard J (2017) A new distributed and cable less system for large 3D electrical resistivity Ert and induced polarization tomography. Balkan Geophysical Society At, Antalya. https://doi.org/10.3997/2214-4609 201702552

    Book  Google Scholar 

  • Park CB, Miller RD, Xia J (1999) Multichannel analysis of surface waves. Geophysics 64(3):800–808

    Article  Google Scholar 

  • Pazzi V, Morelli S, Fanti R (2019) A review of the advantages and limitations of geophysical investigations in landslide studies. Int J Geophys 2019:27

  • Pecoraro G, Calvello M, Piciullo L (2019) Monitoring strategies for local landslide early warning systems. Landslides 16:2131–2231. https://doi.org/10.1007/s10346-018-1068-z

    Article  Google Scholar 

  • Perera ENC, Jayawardana DT, Jayasinghe P, Bandara RMS, Alahakoon N (2018) Direct impacts of landslides on socio-economic systems: a case study from Aranayake, Sri Lanka. Geoenviron Disasters 5(11). https://doi.org/10.1186/s40677-018-0104-6

  • Perrone A, Lapenna V, Piscitelli S (2014) Electrical resistivity tomography technique for landslide investigation: a review. Earth Sci Rev 135:65–82

    Article  Google Scholar 

  • Petley D (2012) Global patterns of loss of life from landslides. Geology 40:927–930

    Article  Google Scholar 

  • Piciullo L, Calvello M, Cepeda JM (2018) Territorial early warning systems for rainfall-induced landslides. Earth Sci Rev 179:228–247

    Article  Google Scholar 

  • Polemio M, Sdao F (1996) Landslide hazard and critical rainfall in Southern Italy. VII Int. Symp. on Landslides, Norway. Balkema, Rotterdam, pp. 847 – 852

  • Polemio M, Sdao F (1998) Heavy rainfalls and extensive landslides occurred in Basilicata, Southern Italy, in 1976. In: Proc 8th Int Congr EEGS, Vancouver, Canada, pp 1849–185.Polemio M, Sdao F (1996) Landslide hazard and critical rainfall in Southern Italy. VII Int. Symp. on Landslides, Norway. Balkema, Rotterdam, pp. 847 – 852

  • Sdao F, Simeone V (2019) La grande frana di Pomarico del gennaio 2019 – Risultati studi ed indagini – I Fase Emergenza. Report for the civil protection activities of the Municipality of Pomarico.

  • Segoni S, Piciullo L, Gariano SL (2018) A review of the recent literature on rainfall thresholds for landslide occurrence. Landslides 15:1–19

    Article  Google Scholar 

  • Sharma S, Verma GK (2015) Inversion of electrical resistivity data: a review. Int J Environ, Chemic, Ecolog, Geolog Geophys Eng 9(4):400–406

  • Spilotro G, Pellicani R, Canora F, Allasia P, Giordan D, Lollino G (2017) Evolution of techniques for monitoring unstable slopes. Ital J Eng Geol Environ 17:5–17

    Google Scholar 

  • Trigila A, Iadanza C, Spizzichino D (2010) Quality assessment of the Italian landslide inventory using GIS processing. Landslides 7(4):455–470. https://doi.org/10.1007/s10346-010-0213-0

    Article  Google Scholar 

  • Uhlemann S, Chambers J, Wilkinson P, Maurer H, Merritt A, Meldrum P, Kuras O, Gunn D, Smith A, Dijkstra T (2017) Four-dimensional imaging of moisture dynamics during landslide reactivation. JGR Earth Surface 122(1):398–418

    Google Scholar 

  • Vassallo R, Doglioni A, Grimaldi GM, Di Maio C, Simeone V (2016) Relationships between rain and displacements of an active earthflow: a data-driven approach by EPRMOGA. Nat Hazards 81(3):1467–1482, ISSN 0921-030X (Print) 1573-0840 (Online). https://doi.org/10.1007/s11069-015-2140-9

    Article  Google Scholar 

  • Wang S, Malehmir A, Bastani M (2016) Geophysical characterization of areas prone to quick-clay landslides using radio-magnetotelluric and seismic methods. Tectonophysics 677–678:248–260

    Article  Google Scholar 

  • Whiteley JS, Chambers JE, Uhlemann S, Wilkinson PB, Kendall JM (2019) Geophysical monitoring of moisture-induced landslides: a review. Rev Geophys 57:106–145

    Article  Google Scholar 

Download references

Funding

This research was carried out in the framework of the project “Advanced EO technologies for studying Climate Change impacts on the environment - OT4CLIMA,” which was funded by the Italian Ministry of Education, University and Research (D.D. 2261 of 6.9.2018, PON R&I 2014-2020 and FSC) and in the framework of the Operational Convention between CNR-IMAA and Pomarico municipality.

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Authors and Affiliations

  1. Institute of Methodologies for Environmental Analysis, National Research Council, Tito (PZ), Italy

    Angela Perrone, Giuseppe Calamita, Jessica Bellanova, Vincenzo Serlenga, Serena Panebianco, Nicola Tragni, Sabatino Piscitelli & Vincenzo Lapenna

  2. School of Engineering, University of Basilicata, Potenza, Italy

    Filomena Canora & Francesco Sdao

  3. Department of Science, University of Basilicata, Potenza, Italy

    Serena Panebianco & Nicola Tragni

  4. Mallet s.r.l. Marsicovetere, Potenza, Basilicata Region, Italy

    Luigi Vignola

  5. Department of Civil, Environmental and Structural Engineering and Chemistry, Technical University of Bari, Bari, Italy

    Angelo Doglioni & Vincenzo Simeone

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  1. Angela Perrone
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  2. Filomena Canora
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  3. Giuseppe Calamita
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  4. Jessica Bellanova
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  13. Vincenzo Lapenna
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Correspondence to Angela Perrone.

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Perrone, A., Canora, F., Calamita, G. et al. A multidisciplinary approach for landslide residual risk assessment: the Pomarico landslide (Basilicata Region, Southern Italy) case study. Landslides 18, 353–365 (2021). https://doi.org/10.1007/s10346-020-01526-z

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