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Influence of the Landscape Structure of Watersheds on the Processes of Surface Water Quality Formation (Case Study of Western Siberia)

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Landscape Patterns in a Range of Spatio-Temporal Scales

Part of the book series: Landscape Series ((LAEC,volume 26))

Abstract

The Authors propose an original system for estimating the runoff of pollutants from different oil-contaminated landscapes of small river catchments in conditions of oil production in the middle-boreal forest of Western Siberia. The system is a set of jointly used methods for determining the quantitative parameters of water and chemical runoff: landscape-hydrological analysis, water-balance flow calculations, and empirical modeling of pollutants from oil-contaminated areas. The water runoff of small rivers in the north of Western Siberia has been very poorly studied, and there are no reliable regime data on water resources. The proposed system requires a minimum of information that is accessible to any specialist who is engaged in assessing the risks of production activities for the environment. Using the methodology, we concluded that the most unfavorable conditions for the formation of the small river water quality are formed on slope landscapes formed on loamy soils and peat bogs when laying the objects of the oil infrastructure, in case of accidents on pipelines. The chapter contains an estimate showing that the removal of petroleum hydrocarbons by one small river with a contamination of 0.25% of the catchment area reaches tens of tons per year.

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Acknowledgments

The Research was supported by the Ministry of Education and Science of the Russian Federation (Agreement 5.8859.2017/9.10).

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Correspondence to Vitaly Yu. Khoroshavin .

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Khoroshavin, V.Y., Pereladova, L.V., Kalinin, V.M., Sheludkov, A.D. (2020). Influence of the Landscape Structure of Watersheds on the Processes of Surface Water Quality Formation (Case Study of Western Siberia). In: Khoroshev, A., Dyakonov, K. (eds) Landscape Patterns in a Range of Spatio-Temporal Scales. Landscape Series, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-030-31185-8_12

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