Failure to account for the urban development nature when modeling the boundaries and heavy metal soil contamination zones in urban areas reduces the predictive power of geoinformation models. The most common approach to using data about urban environment in extrapolate point data on heavy metal soil contamination levels is to use averaged coefficients at the urban quarter boundaries level.
The use of insufficiently detailed data in modeling reduced the quality for extrapolating urban contamination zones. Attempts to increase the extrapolation models, details were hampered by the cartographic information heterogeneity on urban areas, which immediately impacted the extrapolation smoothness and the pollutant distribution model reproducibility in different sites of a single urban settlement.
To address the extrapolating point data on heavy metal soil contamination problems, a technology has been proposed for creating reference layers containing, as a continuous matrix, coefficients characterizing the various urban areas susceptibility based on landscape-geochemical principles. The proposed technology enables the key pollutant redistribution components identification prior to the samples collection for heavy metal contamination analysis. Using multispectral satellite images automated classification, it becomes possible to plan (design) analytical sample collection networks and link each analytical result to ranked potential contamination risk levels.
This work was conducted at Dubna State University as priority research projects part the “Development of a GIS Project for a Comprehensive Assessment of Environmental Risks to Public Health,” implemented at Dubna Federal University (2024), and “Development of a Methodology for Incorporating Urban Infrastructure into an Integrated Assessment of Heavy Metal Pollution Levels” (2025).

Dmitriy V. Dobrynin
Senior Lecturer of the Department of Geoinformation Systems and Technologies
Institute of Systems Analysis and Management
Dubna State University
19, Universitetskaya Str. ,141980, Moscow region, Dubna, Russia
e-mail: ddobrynin@yandex.ru
ORCID ID: 0000-0003-2432-6534
SPIN-code: 7089-6356
AuthorID: 92042

Oksana V. Sukhova
Senior Lecturer of the Department of Geoinformation Systems
and Technologies
Institute of Systems Analysis and Management
Dubna State University
19, Universitetskaya Str. ,141980, Moscow region, Dubna, Russia
e-mail: oks1025.ya@yandex.ru
SPIN-code: 7749-9088
AuthorID: 726418

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