Soil Erosion Model Predictions Using Parent Material/Soil Texture-Based Parameters Compared to Using Site-Specific Parameters

2011 ◽  
Vol 54 (4) ◽  
pp. 1347-1356 ◽  
Author(s):  
R. B. Foltz ◽  
W. J. Elliot ◽  
N. S. Wagenbrenner
Keyword(s):  
Soil Erosion ◽  
Soil Texture ◽  
Parent Material ◽  
Site Specific ◽  
Erosion Model ◽  
Model Predictions

scholarly journals Topsoil Texture Regionalization for Agricultural Soils in Germany—An Iterative Approach to Advance Model Interpretation

2022 ◽  
Vol 1 ◽  
Author(s):  
Anika Gebauer ◽  
Ali Sakhaee ◽  
Axel Don ◽  
Matteo Poggio ◽  
Mareike Ließ
Keyword(s):  
Machine Learning ◽  
Soil Texture ◽  
High Performance ◽  
Agricultural Soils ◽  
Differential Evolution Algorithm ◽  
Parent Material ◽  
Model Parameters ◽  
Iterative Approach ◽  
Site Specific ◽  
Model Interpretation

Site-specific spatially continuous soil texture data is required for many purposes such as the simulation of carbon dynamics, the estimation of drought impact on agriculture, or the modeling of water erosion rates. At large scales, there are often only conventional polygon-based soil texture maps, which are hardly reproducible, contain abrupt changes at polygon borders, and therefore are not suitable for most quantitative applications. Digital soil mapping methods can provide the required soil texture information in form of reproducible site-specific predictions with associated uncertainties. Machine learning models were trained in a nested cross-validation approach to predict the spatial distribution of the topsoil (0–30 cm) clay, silt, and sand contents in 100 m resolution. The differential evolution algorithm was applied to optimize the model parameters. High-quality nation-wide soil texture data of 2,991 soil profiles was obtained from the first German agricultural soil inventory. We tested an iterative approach by training models on predictor datasets of increasing size, which contained up to 50 variables. The best results were achieved when training the models on the complete predictor dataset. They explained about 59% of the variance in clay, 75% of the variance in silt, and 77% of the variance in sand content. The RMSE values ranged between approximately 8.2 wt.% (clay), 11.8 wt.% (silt), and 15.0 wt.% (sand). Due to their high performance, models were able to predict the spatial texture distribution. They captured the high importance of the soil forming factors parent material and relief. Our results demonstrate the high predictive power of machine learning in predicting soil texture at large scales. The iterative approach enhanced model interpretability. It revealed that the incorporated soil maps partly substituted the relief and parent material predictors. Overall, the spatially continuous soil texture predictions provide valuable input for many quantitative applications on agricultural topsoils in Germany.

New Soil Erosion Model Erodes Farmers' Patience

Science ◽  
1994 ◽  
Vol 264 (5166) ◽  
pp. 1661-1662 ◽  
Author(s):  
J. Glanz
Keyword(s):  
Soil Erosion ◽  
Erosion Model

X-ray fluorescence spectrometry for rapid screening of particle size in soils

2021 ◽  
Author(s):  
Maame Croffie ◽  
Paul N. Williams ◽  
Owen Fenton ◽  
Anna Fenelon ◽  
Karen Daly
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Soil Texture ◽  
Particle Size Analysis ◽  
Parent Material ◽  
Fluorescence Spectrometry ◽  
Rapid Screening ◽  
Size Analysis ◽  
X Ray

<p>Soil texture is an essential factor for effective land management in agricultural production. Knowledge of soil texture and particle size at field scale can aid with on-going soil management decisions. Standard soil physical and gravimetric methods for particle size analysis are time-consuming and X-ray fluorescence spectrometry (XRF) provides a rapid and cost-effective alternative. The objective of this study was to explore the use of XRF as a predictor for particle size. An extensive archive of Irish soils with particle size and soil texture data was used to select samples for XRF analysis. Regression and correlation analyses on XRF determined results showed that the relationship between Rb and % clay varied with soil type and was dependent on the parent material. There was a strong relationship (R > 0.62, R<sup>2</sup>>0.30, p<0.05) between Rb and clay for soils originating from bedrock such as limestones and slate. Contrastingly, no significant relationship (R<0.03, R<sup>2</sup>=0.00, p>0.05) exists between Rb and % clay for soils originating from granite and gneiss. Furthermore, there was a significant negative correlation (p<0.05) between Rb and % sand. The XRF is a useful technique for rough screening of particle size distribution in soils originating from certain parent materials. Thus, this may contribute to the rapid prediction of soil texture based on knowledge of the particle size distribution.</p><p> </p>

scholarly journals Assessing the large-scale impacts of environmental change using a coupled hydrology and soil erosion model

2018 ◽  
Vol 6 (3) ◽  
pp. 687-703 ◽  
Author(s):  
Joris P. C. Eekhout ◽  
Wilco Terink ◽  
Joris de Vente
Keyword(s):  
Soil Erosion ◽  
Environmental Change ◽  
Sediment Yield ◽  
Large Scale ◽  
Catchment Scale ◽  
Time Step ◽  
Vegetation Development ◽  
Erosion Model ◽  
Complete Representation ◽  
Large Catchment

Abstract. Assessing the impacts of environmental change on soil erosion and sediment yield at the large catchment scale remains one of the main challenges in soil erosion modelling studies. Here, we present a process-based soil erosion model, based on the integration of the Morgan–Morgan–Finney erosion model in a daily based hydrological model. The model overcomes many of the limitations of previous large-scale soil erosion models, as it includes a more complete representation of crucial processes like surface runoff generation, dynamic vegetation development, and sediment deposition, and runs at the catchment scale with a daily time step. This makes the model especially suited for the evaluation of the impacts of environmental change on soil erosion and sediment yield at regional scales and over decadal periods. The model was successfully applied in a large catchment in southeastern Spain. We demonstrate the model's capacity to perform impact assessments of environmental change scenarios, specifically simulating the scenario impacts of intra- and inter-annual variations in climate, land management, and vegetation development on soil erosion and sediment yield.

scholarly journals Vector Representation for the Soil Erosion Model USLE,

1970 ◽  
Vol 66 (2) ◽  
Author(s):  
Petru CARDEI ◽  
Vasile HEREA ◽  
Vergil MURARU ◽  
Raluca SFARU
Keyword(s):  
Soil Erosion ◽  
Rainfall Event ◽  
Point Of View ◽  
Experimental Results ◽  
Vector Representation ◽  
Vector Form ◽  
Vector Graphics ◽  
Erosion Model ◽  
Daily Amount ◽  
Annual Period

This article presents a mathematical viewpoint as vector form on estimating the risk of erosion due to water action, starting from the original USLE. We started with a vector representation of pluviometric regime. Daily amount of rain during a year can be in the form vector graphics. This representation is equivalent to a vector. Starting from this representation is computed the factor of the rain erosivity. We found that other factors in the USLE formula allowed the same type of representation. These representations have been used in the daily calculating for the erosion. This point of view extends the USLE model using to the rainfall event erosivity assessment, similarly with the RUSLE models. This vision permit the comparison between the possible divisions of the annual period: month, weeks, days, hours, minutes or seconds. In this article the solution test are made by comparison of the result with experimental results obtained in the Valea Calugareasca vineyard.

scholarly journals Soil Erosion on Mountain Trails in Eastern Iberian Peninsula

Proceedings ◽  
2020 ◽  
Vol 30 (1) ◽  
pp. 80
Author(s):  
Artemi Cerdà ◽  
David Salesa ◽  
Jesús Rodrigo-Comino ◽  
Gaspar Mora-Navarro ◽  
Enric Terol ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Slope Angle ◽  
Parent Material ◽  
Rock Outcrops ◽  
Erosion Rates ◽  
Soil Erosion Rates ◽  
Mountain Terrains ◽  
Study Sites ◽  
Coastal Land ◽  
Clear Relation

A review on trial erosion shows that soil erosion rates are one to three orders of magnitude higher than the ones recommended as sustainable. This is threatening the sustainable managements of mountain terrains, mainly in the popular hiking paths. The warm temperatures characterize Eastern Spain in winter, which results in visitors from northern Europe to walk in the coastal land mountainous terrain. This increases the pressure to the currently highly visited most popular paths. We selected representative transects of the trails of Serra de Bérnia, Puigcampana, Penyagolosa, Montcabré, Serra del Sit, Aitana, Les Tres Creus, Caroig, Cupurutxo and Circ de la Safor. All the selected study sites have Limestone parent material, and a scrubland as vegetation cover and the selected slope angle ranged in average between 5 and 10%. The surveys showed that soil erosion rates measured with a topographical method range from 13 till 450 Mg ha−1 y−1. There is a clear relation between the number of users and the damage done on the trails; and we found that short cuts are the areas that contribute with fresh sediment. Rock outcrops are found in 34% of the measured trail sections and this is a good example how the complete soil can be lost as a consequence of recreational activities.

scholarly journals IMPACT OF AGRO-ENVIRONMENTAL SYSTEMS ON SOIL EROSION PROCESSES AND SOIL PROPERTIES ON HILLY LANDSCAPE IN WESTERN LITHUANIA

2015 ◽  
Vol 24 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Gintaras JARAŠIŪNAS ◽  
Irena KINDERIENĖ
Keyword(s):  
Soil Erosion ◽  
Soil Properties ◽  
Soil Ph ◽  
Soil Texture ◽  
Sandy Loam ◽  
Chemical Properties ◽  
Available Phosphorus ◽  
Erosion Processes ◽  
Physico Chemical ◽  
The Impact

The objective of this study was to evaluate the impact of different land use systems on soil erosion rates, surface evolution processes and physico-chemical properties on a moraine hilly topography in Lithuania. The soil of the experimental site is Bathihypogleyi – Eutric Albeluvisols (abe–gld–w) whose texture is a sandy loam. After a 27-year use of different land conservation systems, three critical slope segments (slightly eroded, active erosion and accumulation) were formed. Soil physical properties of the soil texture and particle sizes distribution were examined. Chemical properties analysed for were soil ph, available phosphorus (P) and potassium (K), soil organic carbon (SOC) and total nitrogen (N). We estimated the variation in thickness of the soil Ap horizon and soil physico-chemical properties prone to a sustained erosion process. During the study period (2010–2012) water erosion occurred under the grain– grass and grass–grain crop rotations, at rates of 1.38 and 0.11 m3 ha–1 yr–1, respectively. Soil exhumed due to erosion from elevated positions accumulated in the slope bottom. As a result, topographic transfiguration of hills and changes in soil properties occurred. However, the accumulation segments of slopes had significantly higher silt/clay ratios and SOC content. In the active erosion segments a lighter soil texture and lower soil ph were recorded. Only long-term grassland completely stopped soil erosion effects; therefore geomorphologic change and degradation of hills was estimated there as minimal.

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