Results 51 to 60 of about 12,942 (262)

Spatial Assessment of Soil Erosion Risk Using RUSLE Embedded in GIS Environment: A Case Study of Jhelum River Watershed

open access: yesApplied Sciences, 2023
The watershed area of the Mangla Reservoir spans across the Himalayan region of India and Pakistan, primarily consisting of the Jhelum River basin.
M. Waseem   +5 more
semanticscholar   +1 more source

Saray ilçesinde (Tekirdağ) toprak erozyonunun RUSLE yöntemiyle değerlendirilmesi

open access: yesTürk Coğrafya Dergisi, 2018
Saray, Türkiye’ nin kuzeybatısında bulunan Marmara Bölgesi’nin Ergene Bölümü ile Yıldız Dağları Bölümü’nde kalmaktadır. Saray, Tekirdağ ilinin Karadeniz’e kıyısı olan tek ilçesidir. Bu çalışmanın amacı, Saray ilçesi dâhilinde erozyonun güncel durumunun RUSLE yöntemiyle belirlenmesidir.
Uludağ, Musa, Fıçıcı, Murat
openaire   +3 more sources

Great minds map alike: Citizen and expert distribution models of schistosome snail hosts in rural west Uganda

open access: yesEcological Solutions and Evidence, Volume 6, Issue 4, October–December 2025.
Citizen scientists and an expert jointly monitor Biomphalaria snails (the intermediate host of Schistosoma mansoni) in rural areas of southwest Uganda, generating over 4500 georeferenced records. By comparing expert‐ and citizen‐based distribution models under perfect and imperfect detection, we demonstrate that site type and NDVI consistently ...
Noelia Valderrama‐Bhraunxs   +5 more
wiley   +1 more source

Efecto en la erosión hídrica del suelo en pastizales y otros tipos de vegetación por cambios en el patrón de lluvias por el calentamiento global en Zacatecas, México

open access: yesRevista Mexicana de Ciencias Pecuarias, 2020
Para evaluar la erosión hídrica se utilizaron anomalías de temperatura y precipitación para el período 2021-2080, estimadas con un ensamble de 11 modelos de circulación global, para generar mapas de temperatura y precipitación futuras a partir de la ...
Francisco Guadalupe Echavarría-Cháirez   +2 more
doaj   +1 more source

A comparison between soil loss evaluation index and the C-factor of RUSLE: a case study in the Loess Plateau of China [PDF]

open access: yes, 2012
Land use and land cover are most important in quantifying soil erosion. Based on the C-factor of the popular soil erosion model, Revised Universal Soil Loss Equation (RUSLE) and a scale-pattern-process theory in landscape ecology, we proposed a multi ...
B. J. Fu, L. D. Chen, W. W. Zhao
core   +1 more source

Spatio-Temporal Variations in Soil Erosion and Its Driving Forces in the Loess Plateau from 2000 to 2050 Based on the RUSLE Model

open access: yesApplied Sciences
Assessing the spatio-temporal variability and driving forces of soil erosion on the Loess Plateau is critical for ecological and environmental management.
Jie Min   +4 more
semanticscholar   +1 more source

Soil Water Erosion Modeling in Tunisia Using RUSLE and GIS Integrated Approaches and Geospatial Data

open access: yesLand, 2023
Soil erosion is an important environmental problem that can have various negative consequences, such as land degradation, which affects sustainable development and agricultural production, especially in developing countries like Tunisia.
M. Serbaji, Moncef Bouaziz, Okba Weslati
semanticscholar   +1 more source

Quantifying the Role of Vegetation in Reducing Erosion on Post‐Mining Landforms: An Experimental Approach

open access: yesLand Degradation &Development, Volume 36, Issue 16, Page 5542-5556, October 2025.
ABSTRACT For post‐mining landscapes, erosion rates need to be demonstrably similar to that of the surrounding areas. Post‐mining landscapes are assessed (usually with a numerical model) to determine their erosion potential both in the pre‐ and post‐construction phases. Field plots, which rely on natural rainfall, provide the most reliable data; however,
G. R. Hancock
wiley   +1 more source

Determination of erosion rainfall criteria based on natural rainfall measurement and its impact on spatial distribution of rainfall erosivity in the Czech Republic

open access: yesSoil and Water Research, 2019
Rainfall erosivity is the main factor of the USLE or RUSLE equations. Its accuracy depends on recording precision and its temporal resolution, number of stations and their spatial distribution, length of recorded period, recorded period, erosion rainfall
Jiří Brychta, Miloslav Janeček
doaj   +1 more source

Exploring structural sediment connectivity via surface runoff in agricultural lands of Finland

open access: yesActa Agriculturae Scandinavica. Section B, Soil and Plant Science, 2022
Spatial information on the distribution of erosion areas and sediment transport pathways within agricultural landscapes is limited. Thus, we assess structural sediment connectivity via surface runoff by using a digital elevation model (2 × 2 m2) and ...
M. Tähtikarhu   +3 more
doaj   +1 more source

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