Suspended sediment yield mapping of Northern Eurasia

Maltsev, Kirill; Yermolaev, Oleg; Mozzherin, V. V.

doi:10.5194/piahs-367-326-2015

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…Relief factor, which is a function of slope, slope length and shape; erosion index of the crop or crop rotation; H -a layer of surface slope runoff, depending on the water supply in the snow, precipitation during snow melting and the drain factor, mm. This technique has already been tested to calculate the potential loss of soil within the territories located on the European territory of Russia [10], but for the whole territory the technique is used for the first time.…”

Section: Methodsmentioning

confidence: 99%

Erosion Losses of Soils on Arable Land in the European part of Russia

Maltsev

Yermolaev

2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. The quantitative assessment of potential soil losses in arable lands of the European part of Russia is carried out in the article. The assessment was carried out using a mathematical model based on the mathematical dependencies of the universal soil loss equation and the mathematical dependencies of the State Hydrological Institute of Russia. Assessment of potential soil losses was performed using calculations in a geographic information system. To perform the calculations the database was created containing information on: the relief; properties of soils; climate and land use. The raster model of data organization was used to create the database and subsequent calculations. The assessment shows that the average amount of soil loss in the plowed land of the European territory of Russia is 11 t/ha per year. At the same time, about half of the territories are located in conditions where the soil loss value does not exceed 0.5 t/ha per year. The potential loss of soil taking into account the soil protection role of vegetation is 3.3 tons/ha per year. In addition, a spatial analysis of the distribution of soil loss by landscape zones shows that there is a consistent reduction in the potential loss of soil from the forest zone (20.92 t/ha per year) to the forest-steppe (10.84 t / ha per year), steppe (8.13 t/ha per year) and semi-desert (4.7 tons/ha per year) zone.

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Section: Methodsmentioning

confidence: 99%

Erosion Losses of Soils on Arable Land in the European part of Russia

Maltsev

Yermolaev

2018

IOP Conf. Ser.: Earth Environ. Sci.

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“…Mozzherin [6]. Currently, studies in the EPR continue using modern observational data [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis and Modeling of Suspended Sediment Yield Dependence on Environmental Conditions

Yermolaev

Mukharamova

2023

Water

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This paper describes the modelling of suspended sediment yield in a plains region in the European part of Russia (EPR) and its prediction for ungauged catchments. The studied plains area, excluding the Caucasus and Ural Mountains, covers 3.5 × 106 km2 of the total area of about 3.8 × 106 km2. Multiple regression methods, such as a generalized linear model (GLM) and a generalized additive model (GAM), are used to construct the models. The research methodology is based on a catchment approach. There are 49,516 river basins with an average area of about 75 km2 in the plain regions. The suspended sediment yield geodatabase contains data from 385 gauging stations. The linear GLM model of suspended sediment yield explains about 50% and the GAM model about 65% of the data variability (R-squared adjusted). The models include mean slope steepness, percentage of arable land, runoff per unit area, catchment area, soil rank and catchment soil erodibility as significant predictors. They also include a zonal-sectoral gradient (the sum of active temperatures and the standard deviation of air temperature, or directly by geographic coordinates). A GAM model is trained to predict suspended sediment yields for unexplored areas of the area. The paper presents the results of extrapolating suspended sediment yield values to ungauged river basins in a plains region of the EPR. For the first time for such a large area, the models built and the use of the basin approach made it possible to predict runoff values for hydrologically unexplored river basins.

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“…The study [Maltsev, et al, 2015] presents the mapping of river sediment yields on a continental or global scale, and points to a number of technical difficulties that have been largely ignored. Maps should show large zonal features of the river sediment crop, as well as the level of (smoothed) local anomalies.…”

Section: Introductionmentioning

confidence: 99%

Geodesy, Cartography, and Aerial Photography

Protsyk¹,

Chetverikov²,

Ivanevych³

2021

ISTCGCAP

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Aim of the work. To develop a method of automated allocation of catchment basins and obtaining their hydrological and morphometric characteristics, which is based on digital terrain models. Methods and results of work. A necessary condition for the correct filling of the terrain is the presence of points of true flow at the edge of the settlement area (if the river flows into the lake, it should not enter the calculated area completely, otherwise incorrect results will be obtained). By performing the operation of filling the relief of the terrain, a new dem is created, which does not contain fictitious depressions and is used in the next step as input data to calculate the flow direction according to the algorithm d8. According to the proposed technological scheme it is necessary to process step by step the following six blocks: filling of closed depressions, calculation of runoff direction, calculation of total runoff, creation of point vector data set of closing points (mouth points), creation of watershed boundaries, raster-vector data conversion. Theoretical research tested the method of automated allocation of watersheds, namely the determination of hydrological and morphometric parameters of the terrain. The pools were ranked according to these parameters according to the existing classifications, a series of relevant thematic electronic maps was compiled. It should be noted that in Skole district of lviv region there are 590 catchment areas, and their area is 1407 km2. Watersheds are classified by outcrop, namely low-mountain basins in the region of 6, their area is 7 km2, medium-mountain 360, area 755 km2, high-mountain 224, area 645 km2. Pools are classified according to the average slope: the first category from 0-3 degrees, very gentle slopes - pools 27, area 7 km2; the second category from 9-12 degrees, sloping slopes-pools of 128, the area 303 km2; the third category from 12-15> degrees, steep slopes - pools of 225, the area 648 km2. The accuracy between the reference and the original relief model was evaluated. We can say that sle = 0.63 (m) slope, sle = 5.43 (m) height. Scientific novelty and practical significance. The technological scheme of automated separation of catchment basins according to digital relief models for Skoliv district of lviv region is proposed and the method of separation of catchment basins is worked out. According to the developed method, maps of watercourses of different orders and their catchment basins and classification of basins by area on the territory of Skole administrative district, which can be used by local organizations on water resources, are constructed.

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Suspended sediment yield mapping of Northern Eurasia

Cited by 6 publications

References 5 publications

Erosion Losses of Soils on Arable Land in the European part of Russia

Erosion Losses of Soils on Arable Land in the European part of Russia

Statistical Analysis and Modeling of Suspended Sediment Yield Dependence on Environmental Conditions

Geodesy, Cartography, and Aerial Photography

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