Publishing House SB RAS:

Publishing House SB RAS:

Address of the Publishing House SB RAS:
Morskoy pr. 2, 630090 Novosibirsk, Russia



Advanced Search

Geography and Natural Resources

2024 year, number 1

IDENTIFICATION OF HYDROLOGICALLY SENSITIVE LANDSCAPES (A CASE STUDY OF THE SELENGA RIVER BASIN)

Y.U.M. Semenov1, M.Y.U. Semenov2, A.V. Silaev1
1V.B. Sochava Institute of Geography, Siberian Branch, Russian Academy of Sciences, Irkutsk, Russia
2Limnological Institute, Siberian Branch, Russian Academy of Sciences, Irkutsk, Russia
Keywords: accumulative landscapes, identification, topographic humidity index, total runoff, pollutant depositing, secondary sources of pollution

Abstract

Methodological approaches to the identification of hydrologically sensitive landscapes have been developed and implemented in the Selenga River basin. The topographic humidity index TWI was calculated to detect accumulative landscapes using the digital relief model of the region under study. Areas with TWI ranges of 12-15 and 15-18 were recognized as areas with the most likely runoff zones. To assess the possibility of their influence on the formation of the river runoff composition, a map of the total runoff was created using the Flow Accumulation model. Hydrologically sensitive watershed areas (HSA) were determined by superimposing a spatial distribution map of areas with maximum total runoff values on the TWI differentiation map. Areas with the contours located within the territories of maximum values of total runoff were identified as true hydrologically sensitive landscapes. Model polygons were selected to test the methodology for mapping hydrologically sensitive areas and primary pollution sources. Studies were carried out on the model territory of the city of Ulan-Ude, which is one of the main pollutants of the waters of the Selenga River and Lake Baikal. The main condition for the formation of secondary sources of pollution (accumulative landscapes) is the correspondence of the pollution source coverage area with HSA. The resulting map of production facilities was superimposed on the HSA spatial distribution map, fragments of which within industrial zones were identified as possible secondary sources of pollution (critical sources areas - CSA). The accuracy of the CSA allocation has been confirmed by the results of assessing the level of soil pollution in the city of Ulan-Ude.