Results 191 to 200 of about 2,959 (215)

RUSL: Trash in Iceland

Journal of Writing in Creative Practice, 2014
Abstract RUSL explores the potential for ecolinguistic activism to act as a gateway for experiential learning via the generation of site-dependent artwork related to place. Autoethnographic methodology demonstrates the effectiveness of pedagogy focused on transformative action, and documentation of art-making processes offers repeatable ...
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An overview of soil erosion modelling compatible with RUSLE approach

Rendiconti Lincei, 2012
Different approaches were used to model soil losses in the Sele River basin (southern Italy) characterized by data scarcity. The suitability of models interpolating different sources of data was evaluated with the aim to suggest similar methodologies in other regions where data availability is not sufficient to use the more complex and detailed models.
FAGNANO, MASSIMO, Diodato N., ALBERICO, INES, FIORENTINO, NUNZIO   +3 more
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Performance of the RUSLE in Mediterranean Mountainous Catchments

Environmental Processes, 2016
The study aims to assess the performance of the Revised Universal Soil Loss Equation (RUSLE) model at Mediterranean mountainous catchments. To that end, it was implemented at three mountainous catchments (seven subcatchments in total) of NW Greece (Kalamas; Upper Acheloos; Arachthos Rivers), both annually and inter-annually, using a GIS-based ...
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Structure and features of the Russian Linguistics (RUSLING) system

Automatic Documentation and Mathematical Linguistics, 2008
We present information on a specific system developed at the Department of Linguistic Research at VINITI. It is the information Internet portal Russian Linguistics (RUSLING). The system prototype is the well-known system LINGUIST List—the main worldwide linguistic resource.
V. B. Borshchev, E. V. Rakhilina, T. I. Reznikova, E. N. Khasina   +3 more
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Harmonizing models and measurements: Assessing soil erosion through RUSLE model

Environmental Science and Pollution Research
Soil erosion poses significant ecological and socioeconomic challenges, driven by factors such as inappropriate land use, extreme rainfall events, deforestation, farming methods, and climate change. This study focuses on the Kozhikode district in Kerala, South India, which has seen increased vulnerability to soil erosion due to its unique geographical ...
Jasin, Sidharthan, Surendran Udayar, Pillai, Marimuthu, Subbaiyan, Sridevi, Govindraj, Komali, Kantamaneni   +4 more
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Implementation of RUSLE in Mediterranean vineyards.

2016
Soil erosion by water has been identified as one of the major threats that affect European agricultural soils. Olive groves and vineyards are often situated on steep hill slopes in areas where the annual rainfall is low but subject to high intensity rainstorms.
Biddoccu M. (1), Gomez J.A. (2), Guzmán G. (2)   +2 more
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Geographic Variation of USLE/RUSLE Erosivity and Erodibility Factors

Journal of Hydrologic Engineering, 2015
AbstractThere is a great reliance on the Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) to predict long-term rainfall erosion in relation to land management in both the United States and the rest of the world.
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Delineating soil erosion risk in Marinduque, Philippines using RUSLE

GeoJournal, 2020
Soil erosion is a global problem affecting both developed and developing countries. In the Philippines, it is considered one of the worst environmental issues. Marinduque is an island province in the Philippines that is identified belonging to areas with a high proportion of soil erosion due to its topography that is highly dominated by rolling to ...
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Soil Erosion Estimation Using RUSLE Method

2022
Asep Muhammad Hidayatulloh, Rendy Pratama Agusta   +1 more
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Regional Soil Loss Prediction Utilizing the RUSLE/GIS Interface

1992
The revised universal soil loss equation (RUSLE) for rangelands was successfully interfaced with geographic information systems (GIS). The procedure utilizes raster processing capabilities of the map analysis and processing system (MAPS) to overlay data themes containing spatially distributed values for differentRUSLE factors. Within the limitations in
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