scholarly journals Soil Erosion and Sediment Deposition Modelling at the Small Catchment Scale

Geografie ◽  
2012 ◽  
Vol 117 (2) ◽  
pp. 170-191 ◽  
Author(s):  
Barbora Vysloužilová ◽  
Zdeněk Kliment
Keyword(s):  
Soil Erosion ◽  
River Sediment ◽  
Agricultural Land ◽  
Catchment Scale ◽  
Erosion And Deposition ◽  
Small Catchment ◽  
Erosion Processes ◽  
Erosion Models ◽  
Deposition Processes ◽  
Gis Environment

Water erosion is considered to be the most important factor behind the degradation of agricultural land. Many methods of measuring soil erosion processes, using mathematical models, have been developed in recent years. The most widespread of these, USLE, and its modifications have been used as the basis for new erosion models. Two such models, USPED (Mitášová et al. 1996) and WaTEM/SEDEM (Van Rompaey et al. 2001; Van Oost et al. 2000; Verstraeten et al. 2002), have been utilized to study erosion and deposition processes in the experimental rural catchment of Černičí. River sediment transport is also calculated using the WaTEM/ SEDEM model. The results are discussed with results from USLE and a field survey. The article also presents brief instructions for implementing the models in a GIS environment.

Modelling of impacts of erosion processes on agricultural landscapes due to intensive rainfall events

2020 ◽  
Author(s):  
Silvia Kohnová ◽  
Zuzana Németová
Keyword(s):  
Soil Erosion ◽  
Soil Degradation ◽  
Agricultural Land ◽  
Assessment Methods ◽  
Rainfall Events ◽  
Degradation Processes ◽  
Erosion Processes ◽  
Erosion Models ◽  
Physically Based ◽  
Physically Based Models

<p>At present, the occurrence of extreme precipitation events is becoming more and more frequent and therefore it is important to quantify their impact on the landscape and soil degradation processes. Until now a wide range of soil erosion models have been developed and many significant studies performed to evaluate soil erosion processes at local and regional level, but there are still many modeling principles that suffer from a range of problems. The general problem in soil erosion modelling lies in the validation and verification of the methodologies used. The validation of erosion models is a very complicated and complex process due to lack of suitable sites, financial demands and due to the high temporal and spatial variability. The paper points to validate the physically and event-based Erosion-3D model predominantly developed to calculate the amounts of soil loss, surface runoff, and depositions resulting from natural and design rainfall events. In the study two different erosion assessment methods were chosen in order to compare diverse evaluation approaches. Both water erosion assessment methods used have certain advantages and disadvantages, but nowadays the use of physically-based models, which are a younger generation of models, are regarded to be a more innovative and effective technique for the evaluation of complex runoff-erosion processes, deposition and transport processes. The significant contribution of physically-based models is seen in their more precise representation of the erosion and deposition processes, a more proper calculation of the erosion, deposition and sediment yields and the application of more complicated characteristics, including fluctuating soil conditions and surface properties in comparison with empirical models. The validation of the models was performed based on the continuous rainfall events for the period selected (2015, 2016 and 2017). The extreme rainfall events occurring during the period were chosen and their serious impact on the agricultural land was modeled. The modelled sediment data were compared with the measured sediment deposition data obtained by a bathymetry survey of the Svacenicky Creek polder. The polder is situated in the middle of the Myjava hill lands in the western part of Slovakia and the bathymetry measurement were conducted using a hydrographical survey using the EcoMapper Autonomous Underwater Vehicle (AUV) device. The results of the study include a comparison between the modelled and measured data and an assessment of the impact of the intensive rainfall events on the investigated territory.</p><p>Key words: intensive rainfall events, agricultural land, soil degradation processes, hydrological extremes, physically-based model</p>

scholarly journals Estimating Human Impacts on Soil Erosion Considering Different Hillslope Inclinations and Land Uses in the Coastal Region of Syria

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2786 ◽  
Author(s):  
Safwan Mohammed ◽  
Hazem G. Abdo ◽  
Szilard Szabo ◽  
Quoc Bao Pham ◽  
Imre J. Holb ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Cover ◽  
Soil Loss ◽  
Agricultural Land ◽  
Human Impacts ◽  
Coastal Region ◽  
Water Erosion ◽  
Land Uses ◽  
Erosion Processes

Soils in the coastal region of Syria (CRoS) are one of the most fragile components of natural ecosystems. However, they are adversely affected by water erosion processes after extreme land cover modifications such as wildfires or intensive agricultural activities. The main goal of this research was to clarify the dynamic interaction between erosion processes and different ecosystem components (inclination, land cover/land use, and rainy storms) along with the vulnerable territory of the CRoS. Experiments were carried out in five different locations using a total of 15 erosion plots. Soil loss and runoff were quantified in each experimental plot, considering different inclinations and land uses (agricultural land (AG), burnt forest (BF), forest/control plot (F)). Observed runoff and soil loss varied greatly according to both inclination and land cover after 750 mm of rainfall (26 events). In the cultivated areas, the average soil water erosion ranged between 0.14 ± 0.07 and 0.74 ± 0.33 kg/m2; in the BF plots, mean soil erosion ranged between 0.03 ± 0.01 and 0.24 ± 0.10 kg/m2. The lowest amount of erosion was recorded in the F plots where the erosion ranged between 0.1 ± 0.001 and 0.07 ± 0.03 kg/m2. Interestingly, the General Linear Model revealed that all factors (i.e., inclination, rainfall and land use) had a significant (p < 0.001) effect on the soil loss. We concluded that human activities greatly influenced soil erosion rates, being higher in the AG lands, followed by BF and F. Therefore, the current study could be very useful to policymakers and planners for proposing immediate conservation or restoration plans in a less studied area which has been shown to be vulnerable to soil erosion processes.

Evaluation of field-scale and catchment-scale soil erosion models

CATENA ◽  
1999 ◽  
Vol 37 (3-4) ◽  
pp. 521-541 ◽  
Author(s):  
Victor Jetten ◽  
Ad de Roo ◽  
David Favis-Mortlock
Keyword(s):  
Soil Erosion ◽  
Field Scale ◽  
Catchment Scale ◽  
Erosion Models

scholarly journals Comparison of RUSLE and MMF Soil Loss Models and Evaluation of Catchment Scale Best Management Practices for a Mountainous Watershed in India

2020 ◽  
Vol 13 (1) ◽  
pp. 232
Author(s):  
Susanta Das ◽  
Proloy Deb ◽  
Pradip Kumar Bora ◽  
Prafull Katre
Keyword(s):  
Soil Erosion ◽  
Best Management Practices ◽  
Soil Loss ◽  
Management Practices ◽  
Agricultural Land ◽  
Soil Layer ◽  
Catchment Scale ◽  
Suitable Alternative ◽  
Best Management ◽  
Management Plans

Soil erosion from arable lands removes the top fertile soil layer (comprised of humus/organic matter) and therefore requires fertilizer application which affects the overall sustainability. Hence, determination of soil erosion from arable lands is crucial to planning conservation measures. A modeling approach is a suitable alternative to estimate soil loss in ungauged catchments. Soil erosion primarily depends on soil texture, structure, infiltration, topography, land uses, and other erosive forces like water and wind. By analyzing these parameters, coupled with geospatial tools, models can estimate storm wise and annual average soil losses. In this study, a hilly watershed called Nongpoh was considered with the objective of prioritizing critical erosion hazard areas within the micro-catchment based on average annual soil loss and land use and land cover and making appropriate management plans for the prioritized areas. Two soil erosion models namely Revised Universal Soil Loss Equation (RUSLE) and Modified Morgan–Morgan–Finney (MMF) models were used to estimate soil loss with the input parameters extracted from satellite information and automatic weather stations. The RUSLE and MMF models showed similar results in estimating soil loss, except the MMF model estimated 7.74% less soil loss than the RUSLE model from the watershed. The results also indicated that the study area is under severe erosion class, whereas agricultural land, open forest area, and scrubland were prioritized most erosion prone areas within the watershed. Based on prioritization, best management plans were developed at catchment scale for reducing soil loss. These findings and the methodology employed can be widely used in mountainous to hilly watersheds around the world for identifying best management practices (BMP).

scholarly journals Can the models keep up with the data? Possibilities of soil and soil surface assessment techniques in the context of process based soil erosion models – A Review

2021 ◽  
Author(s):  
Lea Epple ◽  
Andreas Kaiser ◽  
Marcus Schindewolf ◽  
Anette Eltner
Keyword(s):  
Soil Erosion ◽  
Soil Surface ◽  
Extreme Weather Events ◽  
Erosion Processes ◽  
Process Understanding ◽  
Erosion Models ◽  
Erosion Modelling ◽  
Assessment Techniques ◽  
Temporal And Spatial ◽  
Further Development

Abstract. Climate change, accompanied by intensified extreme weather events, results in changes in intensity, frequency and magnitude of soil erosion. These unclear future developments make adaption and improvement of soil erosion modelling approaches all the more important. Hypothesizing that models cannot keep up with the data, this review gives an overview of 44 process based soil erosion models, their strengths and weaknesses and discusses their potential for further development with respect to new and improved soil and soil erosion assessment techniques. We found valuable tools in areas, as remote sensing, tracing or machine learning, to gain temporal and spatial distributed high resolution parameterization and process descriptions which could lead to a more holistic modelling approach. Most process based models are so far not capable to implement cross-scale erosional processes or profit from the available resolution on a temporal and spatial scale. We conclude that models need further development regarding their process understanding, adaptability in respect to scale as well as their parameterization and calibration. The challenge is the development of models which are able to simulate soil erosion processes as close to reality as possible, as user-friendly as possible and as complex as it needs to be. 

Mapping soil erosion and accumulation with the fallout isotope caesium-137

Soil Research ◽  
1983 ◽  
Vol 21 (4) ◽  
pp. 373 ◽  
Author(s):  
ME Longmore ◽  
BM O'Leary ◽  
CW Rose ◽  
AL Chandica
Keyword(s):  
Soil Erosion ◽  
Mathematical Models ◽  
Relative Intensity ◽  
Erosion And Deposition ◽  
Soil Redistribution ◽  
Quantitative Estimates ◽  
Deposition Processes

The fallout isotope 137Cs has been used to trace the redistribution of soil in a cultivated paddock, in an upland catchment on the Darling Downs. The areal concentrations (mCi km-2) have been used to construct a caesiographic map which illustrates the areas of 137Cs depletion and build-up and the major areas of soil erosion and deposition, respectively, in the paddock. These areas have been graded on the basis of apparent relative intensity of erosion or deposition. Therefore, this method allows retrospective, quantitative estimates to be made of the extent and degree of soil redistribution within the last 3 decades. In addition the 137Cs results will be used to test mathematical models of erosion/deposition processes.

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