Results 51 to 60 of about 13,886 (226)

Spatial Analysis of Erosion and Quantification of Soil Losses in Western Algeria

Ekológia (Bratislava), 2021
The objective of this study is to establish a soil loss map of a region located in western Algeria allowing the spatialization of erosion models, deposition, and quantification of soil loss.
Belgherbi Benamar, Benabdeli Kheloufi
doaj   +1 more source

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

Hydrological 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, Hayrullah Agaccioglu, Gert Verstraeten   +2 more
wiley   +1 more source

Assessment of Soil Erosion and Mapping Annual Soil Loss Using RUSLE Model With Geospatial Approach in Shimsha Basin, India

CLEAN – Soil, Air, Water, Volume 54, Issue 2, February 2026.
ABSTRACT Accurate estimation of soil erosion at regional scale is essential to preserve fertile soils. Assessing soil erosion is crucial to plan conservation works in a river basin. The Shimsha basin is predominantly an agricultural basin, which faces soil erosion issues.
Bharath A., Ramesh Maddamsetty, Uttam Pawar, Reshma T. V., Shubha Avinash   +4 more
wiley   +1 more source

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

Бюллетень 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, M. Juliev, Sh. Bakhodirova, B. Abdikairov, I. Israilov, Ja. Rashidov   +5 more
doaj   +1 more source

Modeling Soil Erosion Risk Areas Using the RUSLE Model Coupled With GIS and RS in Haro Bake Watershed, Yabello District, Southern Ethiopia

Applied and Environmental Soil Science, Volume 2026, Issue 1, 2026.
Soil erosion is most severe in the tropical and subtropical regions of the world, especially in developing countries like Ethiopia. Estimating the extent of soil loss and understanding the spatial distribution of erosion‐prone areas are critical for planning and effectively implementing soil conservation measures with limited resources.
Fenan Tola, Bobe Bedadi, Samuel Feyissa, Wafaa M. Abd El Rahim   +3 more
wiley   +1 more source

Mercury pollution in the soil and river water of the Ratai watershed by artisanal and small-scale gold mining activities in Pesawaran District, Lampung, Indonesia

Journal of Degraded and Mining Lands Management, 2023
The high risk of mercury pollution in the Ratai watershed due to artisanal and small-scale gold mine activities in Pesawaran District, Lampung, Indonesia, was evaluated.
Slamet Budi Yuwono, Irwan Sukri Banuwa, Nano Suryono, Hiroaki Somura, Dermiyati Dermiyati   +4 more
doaj   +1 more source

Sediment and Hydrologic Budgets for the Lake of the Woods Watershed, Champaign County, Illinois [PDF]

, 1983
published or submitted for publicationis peer ...
Lee, Ming T., Makowski, Paul B.
core  

Soil smarts: A taxonomic approach to speed up watershed modeling without sacrificing water quality insights

Agrosystems, Geosciences &Environment, Volume 8, Issue 4, December 2025.
Abstract Hydrologic modeling studies within the United States frequently utilize the USDA‐Natural Resources Conservation Service State Soil Geographic (STATSGO, 1:250,000 resolution) or Soil Survey Geographic (SSURGO, 1:24,000 resolution) database to characterize soil properties. The finer resolution of SSURGO enables more precise spatial modeling that
Arghajeet Saha, A. N. Rohith, Patrick. J. Drohan, Tamie L. Veith, Raj Cibin   +4 more
wiley   +1 more source

Spatial Simulation of The Organic Carbon Content and its Effects on the Erodibility and Soil Erosion with Universal Soil Loss Equation and Geographic Information Systems

Journal of Tropical Soils
Universal Soil Loss Equation (USLE) and Geographical Information Systems are two spatial soil erosion analysis models because both have a spatial context.
Yagus Wijayanto, Julvia Nurlaeli Firmawati, Ika Purnamasari, Suci Ristiyana   +3 more
doaj   +1 more source

Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall.

Soil and Water Research, 2017
Geographic Information Systems (GIS) in combination with soil loss models can enhance evaluation of soil erosion estimation. SAGA and ARC/INFO geographic information systems were used to estimate the topographic (LS) factor of the Universal Soil Loss ...
Michaela Hrabalíková, Miloslav Janeček   +1 more
doaj   +1 more source