Exploratory data analysis and geospatial analysis with geostatistics after high-resolution site characterization
Abstract
The contaminant mass in the storage zone and their spatial distribution are relevant variables during the remediation stage. Exploratory Data Analysis in conjunction with geostatistics, approached through Ordinary Kriging (KO) and Radial Basis Function (RBF) were compared to traditional data processing techniques from low- and high-resolution environmental investigations to evaluate the difference in the estimation of contaminant mass, impacted soil volume and indicate improvements in the investigation strategy of contaminated areas. It was verified that the traditional criteria for investigating volatile organic compounds in retained phase promote the bias of the data and reduce the confidence of the estimation of the mass of contaminants and of impacted soil. The replacement of the traditional interpolation method (ABNT NBR 15515-3) by geostatistics resulted in a reduction in the mass of contaminants from 62.73 kg to 28.16 kg (KO) and 8.45 kg (RBF), and in the impacted volume of 1423.43 m³ to about 525 m³. It is recommended the adoption of techniques such as composite and the addition of random (simple or stratified) or systematic sampling criteria in combination with the traditional ones
References
CAMBARDELLA CA, MOORMAN TB, NOVAK JM, PARKIN TB, KARLEN DL, TURCO RF, KONOPKA AE . Field‐scale variability of soil properties in central Iowa soils. Soil science society of America journal, v. 58, n. 5, p. 1501-1511, 1994. https://doi.org/10.2136/sssaj1994.03615995005800050033x
CETESB – Companhia Ambiental do Estado de São Paulo. Decisão de Diretoria 038/2017/C. São Paulo. Disponível em: https://cetesb.sp.gov.br/wp-content/uploads/2014/12/DD-038-2017-C.pdf. Acesso em: 10 dez. 2021.
CHERRY, J. PARKER. B. DNAPL Contamination on Groundwa-ter. In: CONGRESSO INTERNACIONAL DO MEIO AMBIENTE SUBTERRÂNEO (CIMAS), 1., 2009. [Anais...]. São Paulo-SP. Setembro. 2009.
DYMENT, Stephen. Using high resolution site characterizati-on to improve remedy design and implementation. In: Fede-ral Remediation Technologies Rountable Meeting. 2011.
HERRMANN JC, BERNARDI JVE, BASTOS WR, LACERDA LD. Dispersão Espacial X Amostragem Pontual: A Geoestatística como Ferramenta de Análise do Mercúrio em Solos de Ron-dônia, Amazônia Ocidental. Geochimica Brasiliensis, v. 23, n. 1, 2009.
FIGUEIREDO FILHO, Dalson Britto; SILVA JÚNIOR, José Ale-xandre. Desvendando os Mistérios do Coeficiente de Corre-lação de Pearson (r). Revista Política Hoje, v. 18, n. 1, p. 115-146, 2009.
ITRC (Interstate Technology & Regulatory Council). Integra-ted DNAPL Site Characterization and Tools Selection (ISC-1). Washington, DC: Interstate Technology & Regulatory Coun-cil, DNAPL Site Characterization Team, 2015. http://www.itrcweb.org/DNAPL-ISC_tools-selection. Acesso em: 07 mar. 2021.
ITRC (INTERSTATE TECHNOLOGY & REGULATORY COUNCIL). Integrated DNAPL Site Characterization and Tools Selection (ISC‐1). 2015. Disponível em: https://www.itrcweb.org/DNAPL-ISC_tools-selec-tion/Content/3%20Distribution%20of%20DNAPLS.htm. Acesso em: 09 Mar. 2021.
ITRC. Interstate Technology & Regulatory Council. Geospatial Analysis For Optimization At Environmental Sites, 2016. Disponível em: http://gro-1.itrcweb.org/. Acesso em: 5 set. 2020.
LEAL PR, MOSCHINI-CARLOS V, LÓPEZ-DOVAL JC, CINTRA JP, YAMAMOTO JK, BITENCOURT MD, SANTOS RF, ABREU GC, POMPÊO MLM. Impact of copper sulfate application at an urban Brazilian reservoir: A geostatistical and ecotoxicologi-cal approach. Sci Total Environ, 2017.
http://dx.doi.org/10.1016/j.scitotenv.2017.07.095
LERNER, D. N. et al. An illustrated handbook of DNAPL transport and fate in the subsurface. 2003.
MATHERON, Georges. Principles of geostatistics. Economic geology, v. 58, n. 8, p. 1246-1266, 1963. https://doi.org/10.2113/gsecongeo.58.8.1246
RIYIS, Marcos Tanaka; ARAKAKI, Edson; RIYIS, Mauro Tana-ka; GIACHETI, Heraldo Luiz. A importância da amostragem de solo de perfil completo (ASPC) para a investigação de alta resolução em áreas contaminadas. Águas Subterrâneas, v. 33, n. 4, 2019. https://doi.org/10.14295/ras.v33i4.29735
ROSSI, Mario E.; CLAYTON V. Deutsch. Mineral resource estimation. Springer Science & Business Media, 2014.
SÃO PAULO. Decreto Nº 59.263, de 05 de Junho de 2013. Regulamenta a Lei nº 13.577, de 08 de julho de 2009, que dispõe sobre as diretrizes e procedimentos para a proteção da qualidade do solo e gerenciamento de áreas contamina-das, e dá providências correlatas. São Paulo. 2013. Legisla-ção Estadual.
STEWART, M., DE LACEY, J., HODKIEWICZ, P. F., & LANE, R.. Grade estimation from radial basis functions–how does it compare with conventional geostatistical estimation. In: NINTH INTERNATIONAL MINING GEOLOGY CONFERENCE, Adelaide, Australia. 2014. p. 139.
SEEQUENT. Validating geological models against drill hole data. Disponível em: https://www.seequent.com/validating-geological-models-against-drill-hole-data/. Acesso em: 24 Dez. 2020.
TOBLER, Waldo R. A computer movie simulating urban growth in the Detroit region. Economic geography, v. 46, n. sup1, p. 234-240, 1970. https://doi.org/10.2307/143141
USDA (US. Science; Education Administration). Soil taxono-my: a basic system of soil classification for making and interpreting soil surveys. US Department of Agriculture, 1975.
USEPA (US Environmental Protection Agency). Exposure Factors Handbook. EPA/ 600/8-89/043, Office of Health and Environmental Assessment, Washington, DC, USA, 1989.
USEPA (US Environmental Protection Agency). Superfund Program Implementation Manual Fiscal Year 2019. Wa-shington, DC, USA, 2018. Disponível em: https://semspub.epa.gov/work/HQ/100001805.pdf. Acesso em: 16 mar. 2021.
USEPA QA/G-4HW. Guidance for the data quality objectives process for hazardous waste sites, 2000. (EPA/600/R-00/007, January 2000) Internet Available.
USEPA. Environmental Protection Agency. Causal analys-is/diagnosis decision information system (CADDIS), 2010. Disponível em: http://www.epa.gov/caddis. Acesso em: 5 set. 2020.
USEPA. Method 5035 Closed-system Purge-and-trap and Extraction for Volatile Organics in Soil and Waste Samples.
YAMAMOTO, Jorge Kazuo; LANDIM, Paulo M. Barbosa. Geoes-tatística: conceitos e aplicações. Oficina de textos, 2015.