Results 41 to 50 of about 12,942 (262)

Levantamento da perda de solo e produção de sedimentos na bacia hidrográfica do rio Santa Maria do Doce (Espírito Santo) por modelagem matemática

open access: yesRevista Brasileira de Meio Ambiente, 2021
R E S U M O  Esse trabalho é parte complementar de uma pesquisa de pós-graduação que tem como objetivo avaliar a perda de solo na bacia do rio Santa Maria do Doce (Espírito Santos), vez que a região vem sofrendo pressão antrópica quanto ao uso do solo.
Julielza Betzel Baldotto   +2 more
doaj  

Evaluation of Sediment Connectivity Indices to Improve the Prediction of the Spatiotemporal Variability of Sediment Yield for a Large River Basin (Wei River, China)

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Sediment connectivity between source areas and the main streams or local sinks is a complex and dynamic process, especially in large basins due to multiple heterogeneities and interactions between connectivity components. Sediment connectivity indices are promising tools to investigate sediment transport, especially in data‐scarce or large ...
Zhenni Wu   +3 more
wiley   +1 more source

Optimizing soil erosion estimates of RUSLE model by analyzing land use/cover dynamics in upper Awash River Basin, Central Ethiopia

open access: yesGeomatics, Natural Hazards & Risk, 2023
The Revised Universal Soil Loss Equation (RUSLE) is the most widely used erosion model for decision making on conservation priority. However, interpreting estimates of the mean annual soil loss alone could not accurately depict the spatial variation of ...
Eyasu Mekonnen   +3 more
semanticscholar   +1 more source

RUSLE para Determinação da Tolerância de Perda de Solo [PDF]

open access: yesBiota Amazônia, 2015
Amazonia has undergone severe changes caused by human activities, among which stands out the transformation of forest areas in areas of agricultural use, resulting in the intensification of erosion processes. In this context, the aim of this study was to apply the empirical model RUSLE (Revised Universal Soil Loss Equation) in the upper reaches of the ...
D.B.O. Santos   +2 more
openaire   +1 more source

Rethinking Global Soil Degradation: Drivers, Impacts, and Solutions

open access: yesReviews of Geophysics, Volume 63, Issue 4, December 2025.
Abstract The increasing threat of soil degradation presents significant challenges to soil health, especially within agroecosystems that are vital for food security, climate regulation, and economic stability. This growing concern arises from intricate interactions between land use practices and climatic conditions, which, if not addressed, could ...
Nima Shokri   +29 more
wiley   +1 more source

Estimation and mapping of soil erosion using the RUSLE model and GIS tools: A case study of the wad El Hai watershed in the western Aurès, north-eastern Algeria [PDF]

open access: yesGlasnik Srpskog Geografskog Društva
Soil erosion is the main cause of siltation in dams, on the one hand, and it is one of the main causes of degradation of the agro-pedological heritage, on the other hand.
Benamor Samir   +2 more
doaj   +1 more source

Do no Significant Harm (DNSH) Principle in Corporate Sustainability Strategies: Towards a Methodological Framework

open access: yesCorporate Social Responsibility and Environmental Management, Volume 32, Issue 6, Page 7528-7552, November 2025.
ABSTRACT The integration of corporate sustainability strategies into business activities has become increasingly essential due to the growing concerns about environmental degradation resulting from population growth and resource depletion. Corporate Social Responsibility (CSR) emphasizes the need for businesses to consider their environmental and ...
Roberto Cerchione   +2 more
wiley   +1 more source

Soil Loss Estimation by Water Erosion in Agricultural Areas Introducing Artificial Intelligence Geospatial Layers into the RUSLE Model

open access: yesLand
The existing digital soil maps are mainly characterized by coarse spatial resolution and are not up to date; thus, they are unable to support the physical process-based models for improved predictions.
N. Samarinas   +3 more
semanticscholar   +1 more source

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