Prediction of soil water erosion risk within GIS-case study of Beni Amrane Dam catchment (North of Algeria)

Water erosion and its processes are the most widespread and serious degradation phenomena in Slovakia (occurring in about 37% of the agricultural land). Given the increasing use of precise land management, it is necessary to have more detailed databases, especially in erosion-accumulation areas. The aim of the research was to identify in detail the areas of erosion-accumulation processes induced by water erosion, which can be considered as highly heterogeneous. In the territory of the Nitra upland the field survey methodology and grid mapping were used, the results of which were verified through soil erosion models. The mapping was done at the topic level and was verified using the USLE and ERDEP soil erosion models in ArcGIS. A comparison of the results of the potential model and real field parameters of soil erosion in the Nitra upland enabled us to generate dominant factors, respectively identify areas prone to soil erosion, and provided a detailed database for precise farming. At the same time, the results became the basis for a review of the current classification by erosion endangered soils. Overall, the methodology is suitable as a basis for developing sustainable management proposals in agricultural land affected by soil erosion risk.

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Evaluation of Effect of Different Crop Types On Soil Water Erosion: Case Study of the Myjava Hill Land, Slovakia

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/471/2/022026 ◽

2019 ◽

Vol 471 ◽

pp. 022026

Author(s):

Zuzana Nemetova ◽

Silvia Kohnova ◽

Gabriel Foldes

Keyword(s):

Soil Water ◽

Water Erosion ◽

Crop Types

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Impacts of Intensive Agriculture on Current Rural Landscape – A Case Study for South Moravian Landscape, Czech Republic

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis ◽

10.11118/actaun201866051099 ◽

2018 ◽

Vol 66 (5) ◽

pp. 1099-1109

Author(s):

Petra Fukalová ◽

Tomáš Mašíček

Keyword(s):

Central And Eastern Europe ◽

Agricultural Land ◽

Arable Land ◽

Self Regulation ◽

Water Erosion ◽

Rural Landscape ◽

Ecological Stability ◽

Erosion Risk ◽

Productive Area

The landscape in several countries of Central and Eastern Europe went through the most dramatic change in the socialist period. Agricultural land was considered only as a productive area. The size of arable land plots increased and stabilizing elements in the landscape were removed. This land consolidation of agriculture has led to the development of soil erosion. This paper presents a case study focused on comparison of landscape structure of model territory in two periods. The first period shows landscape before collectivization of agriculture, and the second one presents current landscape. The research dealt especially with evaluation of ecological stability and water erosion risk of the landscape. The identification of land use trends helps to characterize landscape of the model territory during monitored period. The following trends: decreasing area of arable land, increasing area of built‑up areas and other areas and increase area of vineyards showed different character of current landscape. The evaluation of ecological stability confirmed the loss of stable landscape elements. Based on the calculated values of ecological stability coefficient, the evaluated landscape has degraded from the category of “disturbed landscape capable of self‑regulation” to “devastated landscape”. The results also show the vulnerability of current large plots of arable land and vineyards to water erosion.

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Evaluation of soil water erosion risk in the Mściwojów water reservoir drainage basin on the basis of numeric modelling

Geomatics Landmanagement and Landscape ◽

10.15576/gll/2013.1.83 ◽

2013 ◽

Vol 1 ◽

pp. 83-95 ◽

Cited By ~ 2

Author(s):

Jacek M. Pijanowski ◽

◽

Artur Radecki-Pawlik ◽

Andrzej Wałęga ◽

Jakub Wojkowski ◽

...

Keyword(s):

Soil Water ◽

Drainage Basin ◽

Water Reservoir ◽

Water Erosion ◽

Erosion Risk ◽

Numeric Modelling

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FOREST ROADS SYSTEM IN MOUNTAIN RELIEF: INDICATOR EVALUATION OF WATER-EROSION RISK

Electronic Journal of Polish Agricultural Universities ◽

10.30825/5.ejpau.21.2017.20.1 ◽

2017 ◽

Vol 20 (1) ◽

Cited By ~ 2

Author(s):

Paweł B. Dąbek ◽

◽

Romuald Żmuda ◽

Tomasz Kowalczyk ◽

Jolanta Dąbrowska ◽

...

Keyword(s):

Water Erosion ◽

Forest Roads ◽

Erosion Risk ◽

Indicator Evaluation

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Soil-water inrush induced shield tunnel lining damage and its stabilization: A case study

Tunnelling and Underground Space Technology ◽

10.1016/j.tust.2020.103290 ◽

2020 ◽

Vol 97 ◽

pp. 103290 ◽

Cited By ~ 3

Author(s):

Linchong Huang ◽

Jianjun Ma ◽

Mingfeng Lei ◽

Linghui Liu ◽

Yuexiang Lin ◽

...

Keyword(s):

Soil Water ◽

Water Inrush ◽

Tunnel Lining ◽

Shield Tunnel

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Regression Models for Soil Water Storage Estimation Using the ESA CCI Satellite Soil Moisture Product: A Case Study in Northeast Portugal

Water ◽

10.3390/w13010037 ◽

2020 ◽

Vol 13 (1) ◽

pp. 37

Author(s):

Tomás de Figueiredo ◽

Ana Caroline Royer ◽

Felícia Fonseca ◽

Fabiana Costa de Araújo Schütz ◽

Zulimar Hernández

Keyword(s):

Soil Moisture ◽

Soil Water ◽

Regression Models ◽

Meteorological Data ◽

Water Storage ◽

Model Performance ◽

Soil Water Balance ◽

Soil Water Storage ◽

The Relationship

The European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) product provides soil moisture estimates from radar satellite data with a daily temporal resolution. Despite validation exercises with ground data that have been performed since the product’s launch, SM has not yet been consistently related to soil water storage, which is a key step for its application for prediction purposes. This study aimed to analyse the relationship between soil water storage (S), which was obtained from soil water balance computations with ground meteorological data, and soil moisture, which was obtained from radar data, as affected by soil water storage capacity (Smax). As a case study, a 14-year monthly series of soil water storage, produced via soil water balance computations using ground meteorological data from northeast Portugal and Smax from 25 mm to 150 mm, were matched with the corresponding monthly averaged SM product. Linear (I) and logistic (II) regression models relating S with SM were compared. Model performance (r2 in the 0.8–0.9 range) varied non-monotonically with Smax, with it being the highest at an Smax of 50 mm. The logistic model (II) performed better than the linear model (I) in the lower range of Smax. Improvements in model performance obtained with segregation of the data series in two subsets, representing soil water recharge and depletion phases throughout the year, outlined the hysteresis in the relationship between S and SM.

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Analysis of Ownership Data from Consolidated Land Threatened by Water Erosion in the Vlára Basin, Slovakia

Sustainability ◽

10.3390/su13010051 ◽

2020 ◽

Vol 13 (1) ◽

pp. 51

Author(s):

Alexandra Pagáč Mokrá ◽

Jakub Pagáč ◽

Zlatica Muchová ◽

František Petrovič

Keyword(s):

Soil Erosion ◽

Soil Loss ◽

Agricultural Land ◽

Water Erosion ◽

Land Consolidation ◽

Land Fragmentation ◽

Erosion Risk ◽

Definition Of ◽

The Relationship ◽

Soil Loss Equation

Water erosion is a phenomenon that significantly damages agricultural land. The current land fragmentation in Slovakia and the complete ambiguity of who owns it leads to a lack of responsibility to care for the land in its current condition, which could affect its sustainability in the future. The reason so much soil has eroded is obvious when looking at current land management, with large fields, a lack of windbreaks between them, and no barriers to prevent soil runoff. Land consolidation might be the solution. This paper seeks to evaluate redistributed land and, based on modeling by the Universal Soil Loss Equation (USLE) method, to assess the degree of soil erosion risk. Ownership data provided information on how many owners and what amount of area to consider, while taking into account new conditions regarding water erosion. The results indicate that 2488 plots of 1607 owners which represent 12% of the model area are still endangered by water erosion, even after the completion of the land consolidation project. The results also presented a way of evaluating the territory and aims to trigger a discussion regarding an unambiguous definition of responsibility in the relationship between owner and user.

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