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The Current Status of Forensic Soil Examination in the Russian Federation

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Criminal and Environmental Soil Forensics

An overview of the current state of forensic soil examination in the Russian Federation is given, and the organisations involved reviewed. The main requirements for forensic soil examination are discussed, and methods of examination for trace amounts of urban soil presented. Four examples where the successful identification of soil in case work are described, where the presence of anthropogenic trace-evidence allowed both scenes of crime to be identified and evidence to be linked to suspects. It is shown that integrated multi-disciplinary studies are preferable to obtain more evidence-based conclusions in soil forensic investigations, where the association of diverse information strengthens evidence.

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References

  • Adya M and Collopy F (1998). How effective are neural networks at forecasting and prediction? A review and evaluation. Journal of Forecasting 17:481–495.

    Article  Google Scholar 

  • Aitken C and Taroni F (2004). Statistics and the Evaluation of Evidence for Forensic Scientists (Statistics in Practice). 2nd edition. Wiley, Chichester.

    Google Scholar 

  • Aitken C, Biedermann A, Garbolino P and Taroni F (2008). Bayesian networks and probabilistic inference in forensic science (Statistics in Practice). Statistical Papers 49:393–394.

    Google Scholar 

  • Anshits NN, Anshits AG, Bayukov OA, Salanov AN and Vereshchagina TA (2005).The nature of nanoparticles of crystalline phase in cenospheres and morphology of their shells. Glass Physics and Chemistry 31:306–315.

    Article  CAS  Google Scholar 

  • Biedermann A and Taroni F (2006). Bayesian networks and probabilistic reasoning about scientific evidence when there is a lack of data. Forensic Science International 57:163–167.

    Google Scholar 

  • Bogatyryev VS (2001). Opportunities of statistical research of small parts for reconstruction of material conditions of material evidences being. In: Proceedings of Criminalistics of 21st Century, pp. 364–368. MVD, Moscow.

    Google Scholar 

  • Carresy P, Causin V, Marigo A and Schiavone S (2004). Bayesian framework for the evaluation of fiber evidence in a double murder — a case report. Forensic Science International 141:151–170.

    Google Scholar 

  • Cengiz S, Karaca AC, çakir I, Ãœner HB and Sevendic A (2004). SEM-EDS analysis and discrimination of forensic soil. Forensic Science International 141:33–37.

    Article  PubMed  CAS  Google Scholar 

  • Consoly NC, Heineck KS, Coop MR, Fonseca AV and Ferreira C (2007). Coal bottom ash as a geomaterial: influence of particle morphology on the behavior of granular materials. Soils and Foundations 47(2):361–373.

    Google Scholar 

  • Fitzpatrick EA (1993). Soil Microscopy and Micromorphology. Wiley, Chichester.

    Google Scholar 

  • Kazdym AA (2006). Technogenic minerals of cultural layers. In: A Technogenic Sediments of Ancient and Modern Urban Territories. Paleoecological Aspect (Ed. SA Nesmeyanov), pp. 116–120. Nauka, Moscow.

    Google Scholar 

  • Khan K Y, Pozdnyakov AI and Son BK (2007). Structure and stability of soil aggregates. Eurasian Soil Science 4:451–456.

    Google Scholar 

  • Koldin VY (1996). Expert identification in forensic examinations. Theoretical basis. (Methodical manual for post-graduates, investigators and judges). RFCFR at the Ministry of Justice, Moscow.

    Google Scholar 

  • Mitrychev VS (1976). Criminalistic identification of the whole in parts. In: Theory and Practice of Identification the Whole in Parts. Collection of Research Works 24:3–111.VNIISE at the Ministry of Justice, Moscow.

    Google Scholar 

  • Parfeneva E and Yarilova E (1977). The Manual for Micro Morphological Researches in Soil Science. Nauka, Moscow.

    Google Scholar 

  • Pye K and Blott SJ (2004). Particle size analysis of sediments, soils and related particulate materials for forensic purposes using laser granulometry. Forensic Science International 144:19–27.

    Article  PubMed  Google Scholar 

  • Pye K and Croft DJ (2007). Forensic analysis of soil and sediment traces by scanning electron microscopy and energy-dispersive X-ray analysis: an experimental investigation. Forensic Science International 165:52–63.

    Article  PubMed  CAS  Google Scholar 

  • Pye K, Blott SJ, Croft DJ and Witton SJ (2007). Discrimination between sediment and soil samples for forensic purposes using elemental data: An investigation of particle size effects. Forensic Science International 167:30–42.

    Article  PubMed  CAS  Google Scholar 

  • Rawlins BG, Semon SJ, Hodgkinson EH, Riding JB, Vane KH, Poulton C and Freeborough K (2006). Potential and pitfalls in establishing the provenance of earth-related samples in forensic investigations. Journal of Forensic Sciences 51:832–844.

    Article  PubMed  CAS  Google Scholar 

  • Ruffell A and Wiltshire P (2004). Conjunctive use of quantitative and qualitative X-ray diffraction analysis of soils and rocks for forensic analysis. Forensic Science International 145:13–23.

    PubMed  CAS  Google Scholar 

  • Sjerps M (2006). The role of statistics in forensic science casework and research. Problems of Forensic Science 55:82–90.

    Google Scholar 

  • Tjurikova VV (1976). The conception of identification the whole in parts in soil forensic examination. In: Theory and Practice of Identification the Whole in Parts. Collection of Research Works 24:128–130.VNIISE at the Ministry of Justice, Moscow.

    Google Scholar 

  • Tjurikova VV (1980). Local grounds as an object of criminalistic identification. In: Theoretical and Methodical Questions of Forensic Soil Examination. Collection of Research Works 47:13–27. VNIISE at the Ministry of Justice, Moscow.

    Google Scholar 

  • Vereshchagina TA, Anshits NN, Zykova ID and Salanov AN (2001). Preparation of cenospheres of controlled composition from energy ashes and their properties. Chemistry for Sustainable Development 9:306–315.

    Google Scholar 

  • VNIISE (1993). Complex methods of forensic soil examination in 3 parts. The methodical recommendations for experts, inspectors and judges. VNIISE at the Ministry of Justice, Moscow.

    Google Scholar 

  • Yukun C, Xiaofeng L and Yunfeng L (2004). An e-mail filtering approach using neural network. In: Lecture Notes in Computer Science. Advances in Neural Networks (Ed. D Hutchison), pp. 688–694.Springer, Berlin.

    Google Scholar 

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Correspondence to Ekaterina Nesterina .

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Gradusova, O., Nesterina, E. (2009). The Current Status of Forensic Soil Examination in the Russian Federation. In: Ritz, K., Dawson, L., Miller, D. (eds) Criminal and Environmental Soil Forensics. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9204-6_5

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