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Selection: with tag rusle [31 articles] 

 

Evaluating the performance of different empirical rainfall erosivity (R) factor formulas using sediment yield measurements

  
CATENA, Vol. 169 (October 2018), pp. 195-208, https://doi.org/10.1016/j.catena.2018.05.037

Abstract

[Highlights] [::] R-factor calculation method impact on soil erosion modeling [::] Comparative analysis (numerical, spatial) of 9 empirical R-factor formulas [::] RUSLE implementation on a typical mountainous Mediterranean catchment [::] Application on two time scales (annual, multi-annual) per R-factor approximation [::] Indirect validation (per R-factor method modelled against measured sediment yield) [Abstract] The study aims to evaluate the performance of nine empirical rainfall erosivity (R) factor formulas at the Venetikos River catchment, Northwestern Greece. The goal is to select the most appropriate one, for the accurate estimation of ...

 

The significance of land cover delineation on soil erosion assessment

  
Environmental Management (2018), pp. 1-20, https://doi.org/10.1007/s00267-018-1044-3

Abstract

The study aims to evaluate the significance of land cover delineation on soil erosion assessment. To that end, RUSLE (Revised Universal Soil Loss Equation) was implemented at the Upper Acheloos River catchment, Western Central Greece, annually and multi-annually for the period 1965–92. The model estimates soil erosion as the linear product of six factors (R, K, LS, C, and P) considering the catchment’s climatic, pedological, topographic, land cover, and anthropogenic characteristics, respectively. The C factor was estimated using six alternative land ...

 

Methodological approach for the assessment of environmental effects of agroforestry at the landscape scale

  
Ecological Engineering, Vol. 29, No. 4. (April 2007), pp. 450-462, https://doi.org/10.1016/j.ecoleng.2006.09.016

Abstract

Silvoarable agroforestry, the deliberate combined use of trees and arable crops on the same area of land, has been proposed in order to improve the environmental performance of agricultural systems in Europe. Based on existing models and algorithms, we developed a method to predict the environmental effects of SAF at a farm and landscape scale. The method is comprised of an assessment of soil erosion, nitrogen leaching, carbon sequestration, and landscape diversity and allowed the comparison of the environmental performance of ...

 

Soil erosion modelling

  
In Landform Dynamics and Evolution in Romania (2017), pp. 397-423, https://doi.org/10.1007/978-3-319-32589-7_17

Abstract

Surface soil erosion modelling has benefited and continues to benefit from the progress in information technology area and statistical and mathematical processing of spatial data. In Romania, quantitative studies concerning soil erosion have a tradition of over 70 years, beginning with the establishment of experimental runoff plots. An important step in the history of soil erosion research in Romania is the adaptation of the universal soil loss equation (USLE) to the specific environmental and anthropogenic conditions form our country (ROMSEM). This ...

 

Estimate of the (R)USLE rainfall erosivity factor from monthly precipitation data in mainland Spain

  
Journal of Iberian Geology, Vol. 42, No. 1. (07 June 2016), https://doi.org/10.5209/rev_jige.2016.v42.n1.49120

Abstract

The need for continuous recording rain gauges makes it difficult to determine the rainfall erosivity factor (R-factor) of the (R)USLE model in areas without good temporal data coverage. In mainland Spain, the Nature Conservation Institute (ICONA) determined the R-factor at few selected pluviographs, so simple estimates of the R-factor are definitely of great interest. The objectives of this study were: (1) to identify a readily available estimate of the R-factor for mainland Spain; (2) to discuss the applicability of a single ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 35

  
(February 2014)
Keywords: inrmm-list-of-tags   risk-society   river-flow   river-networks   river-restoration   roads   robert-hooke   robinia-pseudoacacia   robinia-spp   robotics   robust-modelling   rockfalls   rocky-mountains   rodent   romania   root-deterioration   root-growth   root-rot   root-sucker   root-suckers   root-system   rooting-depth   roots   roptrocerus-xylophagorum   rosa-canina   rosa-pendulina   rosa-pimpinellifolia   rosa-rugosa   rosa-spp   rosaceae   rothermel   rough-set   routes   roystonea-regia   rros   rspread   rtfm   rubik   rubus-caesius   rubus-fruticosus   rubus-idaeus   rubus-spp   ruby   runoff   rupicapra-rupicapra   ruscus-aculeatus   ruscus-colchicus   ruscus-hyrcanus   rusle   russia   rwanda   saass   sabal-palmetto   saga   salicaceae   salinization   salix-alba   salix-appendiculata   salix-aurita   salix-babylonica   salix-caprea   salix-cinera   salix-cinerea   salix-daphnoides   salix-elaeagnos   salix-fragilis   salix-glabra   salix-lasiandra   salix-matsudana   salix-myrsinifolia-nigricans   salix-nigricans   salix-pentandra   salix-purpurea   salix-repens   salix-reticulata   salix-rosmarinifolia   salix-salviifolia   salix-scouleriana   salix-smithiana   salix-spp   salix-triandra   salix-viminalis   salt-tolerance   salvage-logging   salzmannii   samanea-saman   sambucus-canadensis   sambucus-nigra   sambucus-racemosa   sambucus-spp   san-francesco-del-deserto   san-lorenzo-di-castello   sand   sand-soil   sandstorms   sanicula-europaea   santalum-album   saperda-scalaris   saproxylic-beetles   sapwood  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Soil erosion assessment and its verification using the Universal Soil Loss Equation and geographic information system: a case study at Boun, Korea

  
In Environmental Geology, Vol. 45, No. 4. (2004), pp. 457-465, https://doi.org/10.1007/s00254-003-0897-8

Abstract

This study is aimed at the evaluation of the hazard of soil erosion and its verification at Boun, Korea, using a Geographic Information System (GIS) and remote sensing. Precipitation, topographic, soil, and land use data were collected, processed, and constructed into a spatial database using GIS and remote sensing data. Areas that had suffered soil erosion were analysed and mapped using the Universal Soil Loss Equation (USLE). The factors that influence soil erosion are rainfall erosivitiy (R) from the precipitation database, ...

 

Predicting soil erosion with RUSLE in Mediterranean agricultural systems at catchment scale

  
Soil Science, Vol. 174, No. 5. (May 2009), pp. 272-282, https://doi.org/10.1097/ss.0b013e3181a4bf50

Abstract

Accurate assessment of soil loss is essential for sustainable agricultural production, management, and conservation planning, especially in productive rain-fed agroecosystems and protected areas. The European Union considers soil as a nonrenewable resource and identifies that soil degradation has strong impacts on soil and water resources. In this work, the Revised Universal Soil Loss Equation model was applied within a geographic information system in the Estaña catchment (Spanish pre-Pyrenees) as representative of a Mediterranean agroecosystem to elaborate a map of soil erosion ...

 

Interactive comment (reply to Anonymous Referee 3) on Modelling soil erosion at European scale: towards harmonization and reproducibility - by Bosco et al

  
Natural Hazards and Earth System Sciences Discussions, Vol. 2 (2014), pp. C1786-C1795, https://doi.org/10.6084/m9.figshare.1379902

Abstract

Throughout the public discussion of our article Bosco et al. (Nat. Hazards Earth Syst. Sci. Discuss., 2, 2639-2680, 2014), the Anonymous Referee 3 provided (Nat. Hazards Earth Syst. Sci. Discuss., 2, C1592-C1594, 2014) a variety of insights. This work presents our replies to them. ...

 

Interactive comment (reply to Dino Torri) on Modelling soil erosion at European scale: towards harmonization and reproducibility - by Bosco et al

  
Natural Hazards and Earth System Sciences Discussions, Vol. 2 (2014), pp. C671-C688, https://doi.org/10.6084/m9.figshare.1379901

Abstract

During the public discussion of our article Bosco et al. (Nat. Hazards Earth Syst. Sci. Discuss., 2, 2639-2680, 2014), D. Torri provided numerous insights (Nat. Hazards Earth Syst. Sci. Discuss. 2, C528-C532, 2014). This work offers our replies to them. ...

 

Modelling soil erosion at European scale: towards harmonization and reproducibility

  
Natural Hazards and Earth System Science, Vol. 15, No. 2. (4 February 2015), pp. 225-245, https://doi.org/10.5194/nhess-15-225-2015

Abstract

Soil erosion by water is one of the most widespread forms of soil degradation. The loss of soil as a result of erosion can lead to decline in organic matter and nutrient contents, breakdown of soil structure and reduction of the water-holding capacity. Measuring soil loss across the whole landscape is impractical and thus research is needed to improve methods of estimating soil erosion with computational modelling, upon which integrated assessment and mitigation strategies may be based. Despite the efforts, the ...

 

Using soil erosion modeling for improved conservation planning: a GIS-based tutorial

  
(2001)

Abstract

Spatially and temporally explicit predictive abilities are needed to prevent and mitigate land degradation, off-site damage, and unsafe military training environments caused by excessive erosion, deposition, and runoff. The U.S. Army Corps of Engineers, Engineering Research and Development Center, Construction Engineering Research Laboratory, in collaboration with instrumental research partners at the University of Illinois at Urbana-Champaign Geographic Modeling Systems Lab, has made considerable progress in developing predictive erosion/deposition modeling capabilities. [\n] This report, "Using Soil Erosion Modeling for Improved Conservation Planning: ...

 

GRASS GIS manual: r.watershed

  
In GRASS Development Team, 2014. GRASS GIS 7.1svn Reference Manual (2014)

Abstract

r.watershed - Calculates hydrological parameters and RUSLE factors. ...

 

Land cover and soil erodibility within the e-RUSLE model

  
Scientific Topics Focus, Vol. 1 (2014), mri11b13, https://doi.org/10.6084/m9.figshare.856670

Abstract

Soil is a valuable, non-renewable resource that offers a multitude of ecosystems goods and services. At geological time-scales there is a balance between erosion and soil formation, but in many areas of the world today there is an imbalance with respect to soil loss and its subsequent deposition, principally caused by anthropogenic activity and climate change. Detailed methods regarding soil erosion dynamics are growingly available at local and catchment scale. The integrated assessment of natural hazards often require wider scales to ...

References

  1. Angeli, L., Bottai, L., Costantini, R., Ferrari, R., Innocenti, L., and Siciliano, G.: Valutazione del rischio erosione: Applicazioni del modello RUSLE, LaMMA - CRES, Internal Report No. RI07-04, 2004.
  2. Bazzoffi P.: Erosione del Suolo e Sviluppo Rurale: Fondamenti e manualistica per la valutazione agro ambientale, Edagricole, Bologna, 2007.
  3. Beasley, D. B., Huggins, L. F., and Monke, E. J.: ANSWERS a model for watershed planning, T. ASABE, 23(4), 938–944, 1980.
 

Visual validation of the e-RUSLE model applied at the pan-European scale

  
Scientific Topics Focus, Vol. 1 (2014), mri11a13, https://doi.org/10.6084/m9.figshare.844627

Abstract

Validating soil erosion estimates at regional or larger scale is still extremely challenging. The common procedures are not technically and financially applicable for large spatial extents, despite this some options are still applicable. For validating the European map of soil erosion by water calculated using the approach proposed in Bosco et al. [1] we applied alternative qualitative methods based on visual evaluation. The 1 km 2 map was validated through a visual and categorical comparison between modelled and observed soil erosion. A procedure ...

References

  1. Bosco, C., de Rigo, D., Poesen, J., Dewitte, O., Panagos, P., 2014. Modelling Soil Erosion at European Scale: Towards Harmonization and Reproducibility. Nat. Hazards Earth Syst. Sci. Discuss.
  2. Merritt, W.S., Letcher, R.A., Jakeman, A.J., 2003. A review of erosion and sediment transport models. Environmental Modelling and Software 18 (8), 761-799.
  3. Aksoy, H., Kavvas, M. L., 2005. A review of hillslope and watershed scale erosion and sediment transport models. Catena 64 (2),
 

A proposed method for modelling the hydrologic response of catchments to burning with the use of remote sensing and GIS

  
CATENA, Vol. 70, No. 3. (August 2007), pp. 396-409, https://doi.org/10.1016/j.catena.2006.11.008

Abstract

Forest fires can have significant effects on the hydrological response of catchments, resulting in many cases in severe land degradation, flooding and soil erosion. These post-fire hazards often cause extensive damage to public and private property and urban infrastructure, thus carefully planned and designed mitigation activities are required for reducing their magnitude. This study presents a method for the quantitative estimation and mapping of post-fire erosion and runoff, which can provide the basis for the planning of these mitigation activities. Within ...

 

GRASS GIS manual: r.watershed

  
In GRASS Development Team, 2014. GRASS GIS 7.0.0svn Reference Manual (2014)

Abstract

r.watershed - Calculates hydrological parameters and RUSLE factors. ...

 

Modelling soil erosion at European scale: towards harmonization and reproducibility

  
Natural Hazards and Earth System Sciences Discussions, Vol. 2, No. 4. (11 April 2014), pp. 2639-2680, https://doi.org/10.5194/nhessd-2-2639-2014

Abstract

Soil erosion by water is one of the most widespread forms of soil degradation. The loss of soil as a result of erosion can lead to decline in organic matter and nutrient contents, breakdown of soil structure and reduction of the water holding capacity. Measuring soil loss across the whole landscape is impractical and thus research is needed to improve methods of estimating soil erosion with computational modelling, upon which integrated assessment and mitigation strategies may be based. Despite the efforts, ...

 

Agri-environmental indicator - soil erosion

  
Statistics Explained In Agri-environmental indicators (2013)

Abstract

This article provides a fact sheet of the European Union (EU) agri-environmental indicator soil erosion. It consists of an overview of recent data, complemented by all information on definitions, measurement methods and context needed to interpret them correctly. The soil erosion article is part of a set of similar fact sheets providing a complete picture of the state of the agri-environmental indicators in the EU. The indicator soil erosion estimates the areas affected by a certain rate of soil erosion by ...

 

Use and misuse of the K factor equation in soil erosion modeling: An alternative equation for determining USLE nomograph soil erodibility values

  

Abstract

The K factor of the Universal Soil Loss Equation is the most important measure of soil erodibility that was adopted in many erosion models. The K factor can be estimated from simple soil properties by a nomograph. Later, the classical K factor equation was published to assist the calculation of K. This equation, however, does not fully agree with the nomograph, which still has to be used in these deviating cases. Here we show for a large soil data set from ...

 

Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)

  
Agriculture handbook, Vol. 703 (1997)

Abstract

The book provides guidelines for the selection of the best control methods for farms, ranches and other erosion-prone areas throughout USA. The prediction of soil loss founded on the Universal Soil Loss Equation (USLE) is revised using information available on monthly precipitation and temperature, front-free period, annual rain erosivity, below ground biomass, canopy cover and height at 15 days intervals, and soil cover disturbances associated with farming operations. The information is available on CITY, CROP and OPERATION databases. ...

 

Identifying erosive periods by using RUSLE factors in mountain fields of the Central Spanish Pyrenees

  
Hydrology and Earth System Sciences, Vol. 12, No. 2. (6 March 2008), pp. 523-535, https://doi.org/10.5194/hess-12-523-2008

Abstract

The Mediterranean environment is characterized by strong temporal variations in rainfall volume and intensity, soil moisture and vegetation cover along the year. These factors play a key role on soil erosion. The aim of this work is to identify different erosive periods in function of the temporal changes in rainfall and runoff characteristics (erosivity, maximum intensity and number of erosive events), soil properties (soil erodibility in relation to freeze-thaw processes and soil moisture content) and current tillage practices in a set ...

 

Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: an application model for Calabria (Southern Italy)

  
Geomorphology, Vol. 112, No. 3-4. (26 November 2009), pp. 228-245, https://doi.org/10.1016/j.geomorph.2009.06.009

Abstract

Soil erosion by water (WSE) has become a relevant issue at the Mediterranean level. In particular, natural conditions and human impact have made the Calabria (southern Italy) particularly prone to intense WSE. The purpose of this investigation is to identify areas highly affected by WSE in Calabria by comparing the scenarios obtained by assuming control and preventive measures and actions, as well as actual conditions generated by forest fires, also in the presence of conditions of maximum rainfall erosion. Geographic Information ...

 

Event soil loss, runoff and the Universal Soil Loss Equation family of models: a review

  
Journal of Hydrology, Vol. 385, No. 1-4. (07 May 2010), pp. 384-397, https://doi.org/10.1016/j.jhydrol.2010.01.024

Abstract

The Universal Soil Loss Equation (USLE) is the most widely used and misused prediction equation in the world. Although it was designed to predict long-term average annual soil loss, it has the capacity to predict event soil losses reasonably well at some geographic locations and not well at others. Its lack of capacity to predict event erosion is highly influenced by the fact the event rainfall–runoff factor used in the USLE and its revisions (RUSLE, RUSLE2) does not consider runoff explicitly. ...

 

Soil erosion prediction using RUSLE for central Kenyan highland conditions

  
Agriculture, Ecosystems & Environment, Vol. 97, No. 1-3. (July 2003), pp. 295-308, https://doi.org/10.1016/s0167-8809(03)00011-2
Keywords: africa   kenya   rusle   soil-erosion   soil-resources  

Abstract

Soil erosion by water is serious global problem. In Africa, about 5 Mg ha−1 of productive topsoil is lost to lakes and oceans each year. This study was conducted at the Kianjuki catchment in central Kenya to predict annual soil loss using the Revised Universal Soil Loss Equation (RUSLE Version 1.06) to determine the erosion hazard in the area and target locations for appropriate initiation of conservation measures. All factors used in RUSLE were calculated for the catchment using local data. The rainfall ...

 

Predicting postfire sediment yields at the hillslope scale: testing RUSLE and Disturbed WEPP

  
Water Resources Research, Vol. 43, No. 11. (1 November 2007), W11412, https://doi.org/10.1029/2006wr005560

Abstract

High-severity wildfires can increase hillslope-scale sediment yields by several orders of magnitude. Accurate predictions of postfire sediment yields are needed to guide management decisions and assess the potential impact of soil loss on site productivity and downstream aquatic resources. The Revised Universal Soil Loss Equation (RUSLE) and Disturbed WEPP are the most commonly used models to predict postfire sediment yields at the hillslope scale, but neither model has been extensively tested against field data. The objectives of this paper are to ...

 

A RUSLE approach to model suspended sediment load in the Lo river (Vietnam): Effects of reservoirs and land use changes

  
Journal of Hydrology, Vol. 422-423 (February 2012), pp. 17-29, https://doi.org/10.1016/j.jhydrol.2011.12.009

Abstract

This study addresses the problem of modelling sediment erosion at the catchment scale, in order to predict the possible impact of reservoirs and land use changes on sediment load in South East Asia. The investigated basin is the Lo river basin, (38165 km2 in Viet Tri), a left tributary of the Red River, where the Thac Ba and the recently built Tuyen Quang reservoirs have already been changing downstream sediment load since 1971 and 2005 when they were, respectively, in operations. ...

 

Modeling soil carbon transported by water erosion processes

  
Land Degradation & Development, Vol. 11, No. 1. (January 2000), pp. 83-91, https://doi.org/10.1002/(sici)1099-145x(200001/02)11:1<83::aid-ldr370>3.0.co;2-w

Abstract

Long-term monitoring is needed for direct assessment of soil organic carbon (SOC), soil, and nutrient loss by water erosion on a watershed scale. However, labor and capital requirements preclude implementation of such monitoring at many locations representing principal soils and ecoregions. These considerations warrant the development of diagnostic models to assess erosional SOC loss from more readily obtained data. The same factors affect transport of SOC and mineral soil fraction, suggesting that given the gain or loss of soil minerals, it ...

 

A high-resolution soil erosion risk map of Switzerland as strategic policy support system

  
Land Use Policy, Vol. 32 (May 2013), pp. 281-291, https://doi.org/10.1016/j.landusepol.2012.11.006

Abstract

Soil erosion models and soil erosion risk maps are often used as indicators to assess potential soil erosion in order to assist policy decisions. This paper shows the scientific basis of the soil erosion risk map of Switzerland and its application in policy and practice. Linking a USLE/RUSLE-based model approach (AVErosion) founded on multiple flow algorithms and the unit contributing area concept with an extremely precise and high-resolution digital terrain model (2 m × 2 m grid) using GIS allows for a realistic assessment of ...

 

Revised Universal Soil Loss Equation for western rangelands

  
Vol. 150 (1987), pp. 104-111

Abstract

The Universal Soil Loss Equation has been revised to accommodate field conditions found throughout the western United States. The revision uses a subfactor approach to evaluate the "C" factor and additional algorithms to describe the "LS" and "P" factors. The revised "C" factor is now the product of subfactors: PLU (prior land use), CC (vegetation canopy cover), SC (surface ground cover), and SR. (surface roughness). Included in these subfactors are conditions for vegetation canopy height and root biomass. Algorithms for "LS" ...

 

Valutazione del rischio erosione: applicazioni del modello RUSLE

  
No. RI07 - 04. (2004)
This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/rusle

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Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
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Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.