Results 81 to 90 of about 3,823 (214)

Improving rehabilitation practices for the outer batter slopes of bauxite residue disposal areas at Worsley refinery, Collie, Western Australia

open access: yes, 2002
Control of water erosion of soil at mine sites requires an ability to predict the effects of different management practices on soil loss. Using soil loss models such as the Revised Universal Soil Loss Equation (RUSLE) requires calibration of the model ...
Collins, Shane Michael, Shane Collins
core  

Global research trends on RUSLE model: Bibliometric analysis using R Biblioshiny and VOSviewer

open access: yesБюллетень Почвенного института им. В.В. Докучаева
Soil erosion is an unavoidable natural phenomenon that significantly endangers soil fertility and global land management. The primary objective of this study was to perform a thorough bibliometric analysis of research pertaining to the extensively ...
M. Kholmurodova   +5 more
doaj   +1 more source

Application of RUSLE Model on Global Soil Erosion Estimate

open access: yesPROCEEDINGS OF HYDRAULIC ENGINEERING, 2001
Soil erosion is one of the most serious environmental problems commonly in over the world, which is caused by both natural and human factors. It is possible to investigate the global issue on soil erosion with the development of global data sets. This research estimated global soil erosion by the RUSLE model with use of a comprehensive global data set.
PHAM, Thai Nam   +4 more
openaire   +2 more sources

A Step Toward Rainfall Erosivity Mapping Over Türkiye Using Kriging With External Drift

open access: yesHydrological Processes, Volume 40, Issue 3, March 2026.
This study maps rainfall erosivity (R factor) across Türkiye by integrating station‐based observations with satellite‐based precipitation data. The Modified Fournier Index (MFI) derived from CHIRPS was first validated against ground measurements and subsequently incorporated as auxiliary information within a kriging with external drift (KED) framework.
Sait Genar Yaldiz   +2 more
wiley   +1 more source

Soil erosion and intensive agriculture (Lessini Veronesi, NE Italy): multi-temporal modeling on DEM from photogrammetry and LiDAR [PDF]

open access: yes
openLa tesi si propone di valutare l’impatto della coltivazione intensiva della vite sull’erosione del suolo nei pressi di Monteforte d’Alpone, in provincia di Verona, attraverso un’analisi multi-temporale su modelli digitali del terreno (DEM) ottenuti ...
RIGON, BARBARA
core  

Land Cover and Soil Erodibility within the e-RUSLE Model

open access: yes, 2014
Bosco, C., de Rigo, D., 2013. Land Cover and Soil Erodibility within the e-RUSLE Model. Scientific Topics Focus 1, MRI-11b13. Notes Transdiscipl. Model. Env., Maieutike Research Initiative.
Claudio Bosco (481417)   +1 more
core   +1 more source

Evaluación de la vulnerabilidad del suelo por erosión hídrica en la provincia de Manabí (Ecuador) mediante la aplicación de un modelo geoespacial

open access: yesInvestigaciones Geográficas
La pérdida del suelo por erosión hídrica es uno de los problemas ambientales más preocupantes en la actualidad. Para estimar las tasas erosivas se requiere de información de alta resolución.
Isabel Andrade-Carreño   +2 more
doaj   +1 more source

Assessment of changes in soil erosion risk using RUSLE in navrood watershed, Iran

open access: yes, 2017
Risk assessment of soil erosion, one of the most important land degradation problems worldwide, is very essential for land and water resources management, and development of soil conservation methods.
Asadi, H   +3 more
core  

RUSLE- ja TWI-kartta-aineistojen hyödyntäminen maanmuokkauksen suunnittelussa [PDF]

open access: yes, 2019
Opinnäytetyön tavoitteena oli tutkia kahden maaperän ominaisuuksia kuvailevan aineiston, RUSLE-eroosiomallin ja TWI-kosteusindeksikartan hyödyntämisen mahdollisuutta metsän uudistamista edeltävän maanmuokkauksen etukäteissuunnittelussa.
Lilja, Aku
core  

Monthly RUSLE soil erosion risk of Swiss grasslands [PDF]

open access: yes, 2019
This study presents the first mapping of soil erosion risk modelling based on the Revised Universal Soil Loss Equation (RUSLE) at a sub-annual (monthly) temporal resolution and national scale (100 m spatial resolution).
Simon Schmidt (1687930)   +8 more
core   +1 more source

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