Geographic Information System and Geoportal «River basins of the European Russia»

Yermolaev, Oleg; Mukharamova, S. S.; Maltsev, Kirill; Ivanov, M. A.; Ермолаева, Полина; Gayazov, A. I.; Mozzherin, V. V.; Kharchenko, Sergey; Marinina, Olga; Lisetskii, F. N.

doi:10.1088/1755-1315/107/1/012108

Cited by 23 publications

(22 citation statements)

References 9 publications

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“…The current study is based on the data accumulated in the previously created GIS geodatabase "River basins of the European territory of Russia" (Ermolaev et al, 2017;Yermolaev et al, 2018). The data include observations of river runoff at ETR river gauging stations and landscape and geographical conditions, as well as anthropogenic pressure in catchment areas related to the gauging stations.…”

Section: Methods and Sources Of Datamentioning

confidence: 99%

“…The boundaries were delineated with the automatic mode using the algorithm implemented in the Whitebox Geospatial Analysis Tools software product (Lindsay, 2014). The technique of delineating drainage basins is presented in detail in the research of (Ermolaev et al, 2017;Yermolaev et al, 2018). The total number of drainage basins in the ETR is 53,865, including 49,516 basins in plains regions.…”

Section: Methods and Sources Of Datamentioning

confidence: 99%

“…The description of the natural conditions causing the formation of river runoff is given by a developed GIS which is presented on an openaccess geoportal (Yermolaev et al, 2018). In terms of the lithological structure of rocks there, the sedimentary poorly defined formations (71%) and chemoorganogenic rocks (12.1%) are found as the most widespread types.…”

Section: Description Of the Natural Conditions Of The River Runoff Formation Within The Etr Territorymentioning

confidence: 99%

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River runoff modeling in the European territory of Russia

Yermolaev

Mukharamova

Vedeneeva

2021

CATENA

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The paper describes river runoff modeling for a plains region of the European territory of Russia (ETR), as well as a prediction for ungauged drainage basins. The study of river runoff is one of the key research objectives in determining the patterns of sediment yield formation. Among many other zonal factors, river runoff is considered to be the main factor in sediment yield formation in a humid climate. In this study, modeling results for the entire European territory of Russia and various landscape zones are presented via the use of multiple regression methods. Multiple regression methods do not require the mathematical description of the main physical processes of runoff formation in terms of their spatial heterogeneity. At the same time, such methods can be distinguished by their simplicity in terms of determining parameters and providing clear interpretations of the results. The research methodology in this work is based on a drainage basin approach. Initial data for the river runoff and its formation factors are presented in the open-access geoinformation database "Drainage basins of the European territory of Russia", which has been created earlier by the authors. The river runoff geodatabase was formed with results from 1440 gauging stations. The independent variables, such as the relief morphometric characteristics, climatic indicators reflecting average values, scale, seasonal variations, extreme values of temperature and precipitation, percentage of forest and swamp cover, plowing, percentage of meadows, assessment of the anthropogenic impact on the drainage basin, geographical coordinates of the centroid, prevailing soil type, type of soil-forming rock, and class of pre-Quaternary deposits are used for modeling here. Data processing and model development is conducted using the R software environment. Models obtained by linear and nonlinear methods explain about 85-88% of data variability and are well interpreted in terms of the water balance equation. It is found here that the most significant predictors in the model are annual precipitation, the sum of the active temperatures (characterizing runoff losses via evaporation), average slope gradient, and the forest cover of the catchment. For Environmental Resources Management, it is required that data for river runoff are collected at the local (municipal) level. The results for the extrapolation of the river runoff values to ungauged river basins in a plains region of the European territory of Russia are presented here. Calculations of predicted values for the river runoff are given based on the obtained discharge per unit area logarithm model. The model and its cartographic representation reflect the patterns of the spatial distribution of river runoff for the level of spatial detail accepted in the study. The methods applied in this study and the results obtained could be used for similar studies of plains territories across the world.

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Section: Methods and Sources Of Datamentioning

confidence: 99%

Section: Methods and Sources Of Datamentioning

confidence: 99%

Section: Description Of the Natural Conditions Of The River Runoff Formation Within The Etr Territorymentioning

confidence: 99%

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River runoff modeling in the European territory of Russia

Yermolaev

Mukharamova

Vedeneeva

2021

CATENA

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“…The territory of the Republic is mostly laying within forest-steppe zone with small elevations on the right bank of the Volga and the south-east of the Republic. 90 % of the territory lies at an altitude of no more than 200 m above sea level (Yermolaev et al, 2018b). More than 16 % of the territory of the Republic is covered with forests consisting of mainly deciduous trees (oak, linden, birch, aspen), conifers are represented by pine and spruce.…”

Section: Study Areamentioning

confidence: 99%

Modern patterns of spatial distribution of the main soil parameters: case study of the Republic of Tatarstan, Russia

Gafurov

Sharifullin

2019

Proc. IAHS

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Abstract. The territory of the Republic of Tatarstan (RT) belongs to the region with the most developed agriculture in Russia and the Middle Volga region. However, the formation of a system of accurate farming in the Republic is just beginning. To ensure precision farming, it is necessary to precisely know cropland borders, as well as the agrochemical properties of soils (pH, humus content, potassium and phosphorus content). The present study was carried out based on aerial images analyses of the most intensively used part of the RT both with identification of soil indicators for each of the fields. The availability of information on the spatial location of various cultivated crops makes it possible to assess the role of soil characteristics in these crops.

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“…At the same time, the degree of scientific knowledge of these two parts of Eurasia differs for obvious reasons. So, in 2015 to 2016, Geographic Information System (GIS) and Geoportal with open access River basins of the European Russia [8] have already been introduced. The base layer of the GIS project is "Basins", it contains 53,865 polygonal objects in the form of cartographic models of small river basins and inter-inflow spaces.…”

mentioning

confidence: 99%