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Mining Spatial Patterns of Distribution of Uranium in Surface and Ground Waters in Ukraine

Mining Spatial Patterns of Distribution of Uranium in Surface and Ground Waters in Ukraine

Michael Govorov, Viktor Putrenko, Gennady Gienko
Copyright: © 2020 |Pages: 26
ISBN13: 9781799812104|ISBN10: 1799812103|EISBN13: 9781799812111
DOI: 10.4018/978-1-7998-1210-4.ch049
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MLA

Govorov, Michael, et al. "Mining Spatial Patterns of Distribution of Uranium in Surface and Ground Waters in Ukraine." Waste Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 1079-1104. https://doi.org/10.4018/978-1-7998-1210-4.ch049

APA

Govorov, M., Putrenko, V., & Gienko, G. (2020). Mining Spatial Patterns of Distribution of Uranium in Surface and Ground Waters in Ukraine. In I. Management Association (Ed.), Waste Management: Concepts, Methodologies, Tools, and Applications (pp. 1079-1104). IGI Global. https://doi.org/10.4018/978-1-7998-1210-4.ch049

Chicago

Govorov, Michael, Viktor Putrenko, and Gennady Gienko. "Mining Spatial Patterns of Distribution of Uranium in Surface and Ground Waters in Ukraine." In Waste Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1079-1104. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1210-4.ch049

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Abstract

A variety of geovisualization and spatial statistical methods can reveal spatial patterns in the distribution of chemical elements in surface and groundwater, and also identify major factors which define those patterns. This chapter describes a combination of modeling techniques to enhance understanding of large-scale spatial distribution of uranium in groundwater in Ukraine, by linking spatial patterns of several indicators and predictors. Factor, correlation, and regression analysis, including their spatial implementations, were used to describe the impacts of several environmental variables on spatial distribution of uranium. Local factor analysis (or Geographically Weighted Factor Analysis, GWFA) was proposed to identify major environmental factors which define the distribution of uranium, and to discover and map their spatial relationships. The study resulted in a series of maps to help visualize and explore the relationships between uranium and several environmental indicators.

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