scholarly journals Soil Erosion on Abandoned Land in Andalusia: A Comparison of Interrill- and Rill Erosion Rates

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
S. Wirtz ◽  
T. Iserloh ◽  
G. Rock ◽  
R. Hansen ◽  
M. Marzen ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Aerial Photography ◽  
Test Site ◽  
Rill Erosion ◽  
Erosion Rates ◽  
Erosion Processes ◽  
Total Runoff ◽  
Field Investigations ◽  
Total Test

The present paper is based on several field investigations (monitoring soil and rill erosion by aerial photography, rainfall simulations with portable rainfall simulators, and manmade rill flooding) in southern Spain. Experiments lead now to a closer understanding of the dynamics and power of different soil erosion processes in a gully catchment area. The test site Freila (Andalusia, Spain) covers an area of 10.01 ha with a rill density of 169 m ha−1, corresponding to a total rill length of 1694 m. Assuming an average rill width of 0.15 m, the total rill surface can be calculated at 250 m2 (0.025 ha). Given that, the surface covered by rills makes up only 0.25% of the total test site. Since the rill network drains 1.98 ha, 20% of the total runoff comes from rills. The rills’ sediment erosion was measured and the total soil loss was then calculated for detachment rates between 1685 g m−2 and 3018 g m−2. The interrill areas (99.75% of the test site) show values between 29 and 143 g m−2. This suggests an important role of rill erosion concerning runoff and soil detachment.

scholarly journals Soil erosion in an avalanche release site (Valle d'Aosta: Italy): towards a winter factor for RUSLE in the Alps

2014 ◽  
Vol 14 (7) ◽  
pp. 1761-1771 ◽  
Author(s):  
S. Stanchi ◽  
M. Freppaz ◽  
E. Ceaglio ◽  
M. Maggioni ◽  
K. Meusburger ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Snow Cover ◽  
Soil Loss ◽  
Release Site ◽  
Rainfall Erosivity ◽  
Mountain Areas ◽  
Empirical Prediction ◽  
Erosion Rates ◽  
Erosion Processes

Abstract. Soil erosion in Alpine areas is mainly related to extreme topographic and weather conditions. Although different methods of assessing soil erosion exist, the knowledge of erosive forces of the snow cover needs more investigation in order to allow soil erosion modeling in areas where the snow lays on the ground for several months. This study aims to assess whether the RUSLE (Revised Universal Soil Loss Equation) empirical prediction model, which gives an estimation of water erosion in t ha yr−1 obtained from a combination of five factors (rainfall erosivity, soil erodibility, topography, soil cover, protection practices) can be applied to mountain areas by introducing a winter factor (W), which should account for the soil erosion occurring in winter time by the snow cover. The W factor is calculated from the ratio of Ceasium-137 (137Cs) to RUSLE erosion rates. Ceasium-137 is another possible way of assessing soil erosion rates in the field. In contrast to RUSLE, it not only provides water-induced erosion but integrates all erosion agents involved. Thus, we hypothesize that in mountain areas the difference between the two approaches is related to the soil erosion by snow. In this study we compared 137Cs-based measurement of soil redistribution and soil loss estimated with RUSLE in a mountain slope affected by avalanches, in order to assess the relative importance of winter erosion processes such as snow gliding and full-depth avalanches. Three subareas were considered: DS, avalanche defense structures, RA, release area, and TA, track area, characterized by different prevalent winter processes. The RUSLE estimates and the 137Cs redistribution gave significantly different results. The resulting ranges of W evidenced relevant differences in the role of winter erosion in the considered subareas, and the application of an avalanche simulation model corroborated these findings. Thus, the higher rates obtained with the 137Cs method confirmed the relevant role of winter soil erosion. Despite the limited sample size (11 points), the inclusion of a W factor in RUSLE seems promising for the improvement of soil erosion estimates in Alpine environments affected by snow movements.

scholarly journals Analyzing Regional Geographic Challenges: The Resilience of Chinese Vineyards to Land Degradation Using a Societal and Biophysical Approach

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 227
Author(s):  
Yang Yu ◽  
Jesús Rodrigo-Comino
Keyword(s):  
Soil Erosion ◽  
Land Degradation ◽  
Environmental Concern ◽  
Point Of View ◽  
Irreversible Damage ◽  
Erosion Rates ◽  
Erosion Processes ◽  
Lack Of Information ◽  
Scientific Hypothesis ◽  
Vineyard Soil

Land degradation, especially soil erosion, is a societal issue that affects vineyards worldwide, but there are no current investigations that inform specifically about soil erosion rates in Chinese vineyards. In this review, we analyze this problem and the need to avoid irreversible damage to soil and their use from a regional point of view. Information about soil erosion in vineyards has often failed to reach farmers, and we can affirm that to this time, soil erosion in Chinese vineyards has been more of a scientific hypothesis than an agronomic or environmental concern. Two hypotheses can be presented to justify this review: (i) there are no official and scientific investigations on vineyard soil erosion in China as the main topic, and it may be understood that stakeholders do not care about this or (ii) there is a significant lack of information and motivation among farmers, policymakers and wineries concerning the consequences of soil erosion. Therefore, this review proposes a plan to study vineyard soil erosion processes for the first time in China and develop a structured scientific proposal considering different techniques and strategies. To achieve these goals, we present a plan considering previous research on other viticultural regions. We hypothesize that the results of a project from a regional geographic point of view would provide the necessary scientific support to facilitate deriving guidelines for sustainable vineyard development in China. We concluded that after completing this review, we cannot affirm why vine plantations have not received the same attention as other crops or land uses.

scholarly journals Modelling Effects of Rainfall Patterns on Runoff Generation and Soil Erosion Processes on Slopes

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2221
Author(s):  
Qihua Ran ◽  
Feng Wang ◽  
Jihui Gao
Keyword(s):  
Soil Erosion ◽  
Rainfall Intensity ◽  
Temporal Patterns ◽  
Runoff Generation ◽  
Slope Length ◽  
Erosion Processes ◽  
Total Runoff ◽  
Wide Range ◽  
Critical Slope ◽  
Rainfall Patterns

Rainfall patterns and landform characteristics are controlling factors in runoff and soil erosion processes. At a hillslope scale, there is still a lack of understanding of how rainfall temporal patterns affect these processes, especially on slopes with a wide range of gradients and length scales. Using a physically-based distributed hydrological model (InHM), these processes under different rainfall temporal patterns were simulated to illustrate this issue. Five rainfall patterns (constant, increasing, decreasing, rising-falling and falling-rising) were applied to slopes, whose gradients range from 5° to 40° and projective slope lengths range from 25 m to 200 m. The rising-falling rainfall generally had the largest total runoff and soil erosion amount; while the constant rainfall had the lowest ones when the projective slope length was less than 100 m. The critical slope of total runoff was 15°, which was independent of rainfall pattern and slope length. However, the critical slope of soil erosion amount decreased from 35° to 25° with increasing projective slope length. The increasing rainfall had the highest peak discharge and erosion rate just at the end of the peak rainfall intensity. The peak value discharges and erosion rates of decreasing and rising-falling rainfalls were several minutes later than the peak rainfall intensity.

scholarly journals Características e propriedades dos solos relevantes para os estudos pedológicos e análise dos processos erosivos

1996 ◽  
Vol 19 ◽  
pp. 93-114
Author(s):  
Antonio José Teixeira Guerra ◽  
Rosangela Garrido Machado Botelho
Keyword(s):  
Soil Erosion ◽  
Soil Properties ◽  
Environmental Impacts ◽  
Soil Formation ◽  
Soil Characteristics ◽  
Erosion Processes ◽  
Main Factors ◽  
Factors Of Soil Formation

This paper regards the role of soil characteristics and properties on pedological surveys and soil erosion investigations. Therefore, the main factors of soil formation are here discussed. Furthermore, the main chemical and physical soil properties are also taken into consideration, in order to approach this subject. Finally, some erosion processes are also carried out, together with the main erosion forms and the environmental impacts caused by these associated processes.

Advances in techniques to assess soil erodibility

2021 ◽  
pp. 175-214
Author(s):  
R. J. Rickson ◽  
◽  
E. Dowdeswell Downey ◽  
G. Alegbeleye ◽  
S. E. Cooper ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Test Procedure ◽  
Aggregate Stability ◽  
Analytical Techniques ◽  
Soil Biology ◽  
Soil Erodibility ◽  
Erosion Rates ◽  
Erosion Processes ◽  
Assessment Techniques ◽  
Soil Erosion By Water

Soil erodibility is the susceptibility of soil to the erosive forces of rainsplash, runoff and wind. It is a significant factor in determining present and future soil erosion rates. Focusing on soil erosion by water, this chapter shows that erodibility is determined by static and dynamic soil properties that control a range of sub-processes affecting soil erosion, but there is no standardised test procedure, making comparison of erodibility assessment techniques and their results challenging. Most researchers agree that aggregate stability is the best indicator of soil erodibility. Selection of techniques to measure aggregate stability need to consider the type of disruptive forces and breakdown processes to which field aggregates are subjected. New indices must incorporate spatial and temporal variabilities in erodibility; the different erosion processes operating; the impact of climate change; and the role of soil biology. New analytical techniques such as computer aided tomography show promise in considering soil erodibility as a dynamic continuum operating over 3 dimensions.

scholarly journals Estimation of soil redistribution rates due to snow cover related processes in a mountainous area (Valle d'Aosta, NW Italy)

2012 ◽  
Vol 16 (2) ◽  
pp. 517-528 ◽  
Author(s):  
E. Ceaglio ◽  
K. Meusburger ◽  
M. Freppaz ◽  
E. Zanini ◽  
C. Alewell
Keyword(s):  
Soil Erosion ◽  
Sediment Yield ◽  
Mountainous Area ◽  
Mountain Areas ◽  
Spatial And Temporal Scales ◽  
Erosion Rates ◽  
Soil Redistribution ◽  
Erosion Processes ◽  
Soil Accumulation ◽  
Snow Gliding

Abstract. Mountain areas are widely affected by soil erosion, which is generally linked to runoff processes occurring in the growing season and snowmelt period. Also processes like snow gliding and full-depth snow avalanches may be important factors that can enhance soil erosion, however the role and importance of snow movements as agents of soil redistribution are not well understood yet. The aim of this study was to provide information on the relative importance of snow related processes in comparison to runoff processes. In the study area, which is an avalanche path characterized by intense snow movements, soil redistribution rates were quantified with two methods: (i) by field measurements of sediment yield in an avalanche deposition area during 2009 and 2010 winter seasons; (ii) by caesium-137 method, which supplies the cumulative net soil loss/gain since 1986, including all the soil erosion processes. The snow related soil accumulation estimated with data from the deposit area (27.5 Mg ha−1 event−1 and 161.0 Mg ha−1 event−1) was not only higher than the yearly sediment amounts, reported in literature, due to runoff processes, but it was even more intense than the yearly total deposition rate assessed with 137Cs (12.6 Mg ha−1 yr−1). The snow related soil erosion rates estimated from the sediment yield at the avalanche deposit area (3.7 Mg ha−1 and 20.8 Mg ha−1) were greater than the erosion rates reported in literature and related to runoff processes; they were comparable to the yearly total erosion rates assessed with the 137Cs method (13.4 Mg ha−1 yr−1 and 8.8 Mg ha−1 yr−1). The 137Cs method also showed that, where the ground avalanche does not release, the erosion and deposition of soil particles from the upper part of the basin was considerable and likely related to snow gliding. Even though the comparison of both the approaches is linked to high methodological uncertainties, mainly due to the different spatial and temporal scales considered, we still can deduce, from the similarity of the erosion rates, that soil redistribution in this catchment is driven by snow movement, with a greater impact in comparison to the runoff processes occurring in the snow-free season. Nonetheless, the study highlights that soil erosion processes due to the snow movements should be considered in the assessment of soil vulnerability in mountain areas, as they significantly determine the pattern of soil redistribution.

scholarly journals Geospatial-based automated watershed modeling in Garhwal Himalaya

2010 ◽  
Vol 12 (4) ◽  
pp. 502-520 ◽  
Author(s):  
U. C. Kothyari ◽  
Raaj. Ramsankaran ◽  
D. Sathish Kumar ◽  
S. K. Ghosh ◽  
Nisha Mendiratta
Keyword(s):  
Spatial Distribution ◽  
Soil Erosion ◽  
Assessment Tool ◽  
Watershed Modeling ◽  
Erosion Rates ◽  
Erosion Processes ◽  
Runoff Potential ◽  
Soil Erosion Rates ◽  
Modelling Methodology ◽  
User Friendly

An automated GIS tool and its computational outcomes on the spatial distribution of runoff and soil erosion are presented. The developed tool, named Automated Soil Erosion Assessment Tool (ASEAT), simulates runoff and soil erosion rates based on the concept of erosion processes suggested by Morgan–Morgan–Finney (MMF) in 1984. ASEAT is provided with a user-friendly graphical user interface (GUI) to interact with the users. The computational algorithms used are made fully automated and have been developed using the ERDAS Macro Language (EML) and Spatial Macro Language (SML). The developed modelling methodology is applied to the data of an experimental watershed of Pathri Rao in the Indian lower Himalayan region. Generated spatial distribution of runoff potential and soil erosion rates for the studied watershed using ASEAT are depicted by maps. The model-computed surface runoff potential (145.63 mm) available in the watershed seems fair when compared with the runoff depth (176.07 mm) observed at the watershed outlet. The derived estimates of soil erosion are validated, albeit qualitatively, with field observations and seem reliable for making decisions on the adoption of soil erosion conservative measures in the watershed.

scholarly journals Process identification of soil erosion in steep mountain regions

2010 ◽  
Vol 14 (4) ◽  
pp. 675-686 ◽  
Author(s):  
N. Konz ◽  
D. Baenninger ◽  
M. Konz ◽  
M. Nearing ◽  
C. Alewell
Keyword(s):  
Soil Erosion ◽  
Growing Season ◽  
Sediment Traps ◽  
Surface Flow ◽  
Model Parameters ◽  
Model Output ◽  
Literature Study ◽  
Dwarf Shrubs ◽  
Erosion Rates ◽  
Erosion Processes

Abstract. Mountainous soil erosion processes were investigated in the Urseren Valley (Central Switzerland) by means of measurements and simulations. The quantification of soil erosion was performed on hill slope scale (2·20 m) for three different land use types: hayfields, pastures with dwarf shrubs and pastures without dwarf shrubs with three replicates each. Erosion rates during growing season were measured with sediment traps between June 2006 and November 2007. Long-term soil erosion rates were estimated based on Cs- 137 redistribution. In addition, soil moisture and surface flow were recorded during the growing season in the field and compared to model output. We chose the WEPP model (Water Erosion Prediction Project) to simulate soil erosion during the growing season. Model parameters were determined in the field (slope, plant species, fractional vegetation cover, initial saturation level), by laboratory analyses (grain size, organic matter) and by literature study. The WEPP model simulates sheet erosion processes (interrill and splash erosion processes, please note that no rill erosion occurs at our sites). Model output resulted in considerable smaller values than the measured erosion rates with sediment traps for the same period. We attribute the differences to observed random gravity driven erosion of soil conglomerates. The Cs-137 measurements deliver substantially higher mean annual erosion rates, which are most likely connected to snow cover related processes such as snow gliding and avalanche activities.

scholarly journals IMPROVED STOCK UNEARTHING METHOD (ISUM) ALLOW TO ASSESS SOIL EROSION PROCESSES IN GRAFTED PLANTS USING IN SITU TOPOGRAPHICAL MEASUREMENTS

2021 ◽  
Author(s):  
Jesús Rodrigo-Comino ◽  
Enric Terol ◽  
Artemi Cerdà
Keyword(s):  
Soil Erosion ◽  
Parent Material ◽  
Key Factors ◽  
Natural Ecosystems ◽  
New Techniques ◽  
Erosion Rates ◽  
Erosion Processes ◽  
Soil Depletion ◽  
Agricultural Areas

Policymakers, stakeholders and rural inhabitants must be aware of the relevance of soil erosion as an irreversible landdegradation process. This is key to achieve the land degradation neutrality challenge and the sustainability of humankindand natural ecosystems. Agricultural areas are being affected by soil erosion threatening soil quality and, subsequently,food security. Therefore, it is necessary to develop new techniques and methods visually friendly and easy to be accessedto survey and assess the soil erosion concerns. ISUM (Improve Stock Unearthing Method) is a well-contrasted procedureto estimate and map soil mobilisation and erosion rates. To achieve this goal, using the plant graft union as a biomarkerconducting in situ topographical measurements along perpendicular transects allow us to i) explain key factors related tothe activation of soil erosion processes such as tillage, the age of plantation, parent material or hillslope positions; ii)complete other well-contrasted methods such as RUSLE (Revised Soil Loss Equation), IC (Index of connectivity) orStructure from Motion; and, iii) identify hotspot areas affected by soil depletion, accumulation or mobilisation. In thisconference, we will show how we developed a new improvement of this method in different crops (vineyards, citrus,persimmons or almonds), under different environmental conditions (parent material, vine ages, soil management, or slopeangle) with diverse geomatic procedures (interpolation methods and geostatistical analysis, topographical measurementsand models) using GIS techniques.

scholarly journals Soil erosion risk assessment: a case study of the Jos Plateau, Nigeria

2021 ◽  
pp. 109-117
Author(s):  
Ayodele Owonubi
Keyword(s):  
Soil Erosion ◽  
Vegetation Index ◽  
Vegetation Coverage ◽  
Anthropogenic Factors ◽  
Rainfall Erosivity ◽  
Entire Area ◽  
Jos Plateau ◽  
Erosion Rates ◽  
Erosion Processes ◽  
Soil Erosion Rates

Soil erosion is a treat to global food security. The objective of this study was to evaluate factors influencing erosion on the arable lands of the Jos Plateau; and to estimate the extent of soil erosion in the area. Universal Soil Loss Equation (USLE) model was used to evaluate soil erosion processes in the study area. This was facilitated with the aid of Geographic Information System Both for Interpolation and Geospatial analysis. Soil data from field survey was the primary source of data for analysis of soil erodibility. Topographic factor was determined from 90-meter elevation data. Rainfall erosivity was determined from rainfall data at 1 kilometer resolution. Whereas vegetation cover factor was determined from Normalized Difference Vegetation Index. Results of the study indicate that rainfall erosivity values were remarkably high and have mean values of 5117MJ.mm/ ha.h.y. Analysis of percent areal coverage indicate that the entire area had 52, 34, 7, and 7% low, moderate, high and very high topographic factors respectively. Further analysis indicate that anthropogenic factors had severely affected vegetation coverage of the Jos plateau, especially on the arable lands. Furthermore, during this research, the mean annual actual and potential soil erosion rates were estimated spatially over the Jos Plateau area. Soil erosion rates were far more than tolerable rates thereby affecting soil fertility and productivity.

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