Results 1 to 10 of about 4,919 (209)
Soil erosion is mainly affected by the rainfall characteristics and land cover conditions, and soil erosion modelling is important for evaluating land degradation status.
Guangyao Gao, David Dunkerley, Yue Liang
exaly +4 more sources
A new approach to estimate cover-management factor of RUSLE and validation of RUSLE model in the watershed of Kartalkaya Dam [PDF]
RUSLE is one of the most widely used soil erosion model worldwide. However, some of the input parameters of RUSLE may require extensive field and laboratory studies, and therefore in most of the cases these parameters are estimated according to some alternative approaches. In this context, cover-management factor (C) has significant importance since it
Hakan Tanyaş, M Lutfi Suzen
exaly +4 more sources
Soil erosion in Ethiopia harms agricultural production, water quality, and overall ecosystem health. Effective soil loss estimation can help minimize these outcomes.
Tadele Melese, Tatek Belay, Baye Terefe
exaly +3 more sources
The Revised Universal Soil Loss Equation (RUSLE) is widely used to estimate regional soil erosion. However, quantitative impacts of soil and water conservation (SWC) measures on conservation practice factor (P) of the RUSLE remain largely unclear ...
Wen-Zhao Guo, Pei Tian, Muxing Liu
exaly +3 more sources
Introducing seasonal snow memory into the RUSLE
Abstract Purpose The sediment supply to rivers, lakes, and reservoirs has a great influence on hydro-morphological processes. For instance, long-term predictions of bathymetric change for modeling climate change scenarios require an objective calculation procedure of sediment load as a function of catchment ...
Kilian Mouris +4 more
openaire +4 more sources
Soil erosion is a direct product of the complex interactions between natural and anthropogenic factors. Such factors vary over space and time, making the assessment of soil erosion even more difficult.
Njoya Ngetar, Kwanele Phinzi
exaly +3 more sources
Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone
In this research, we used the Revised Universal Soil Loss Equation (RUSLE) and Geographical Information System (GIS) to predict the annual rate of soil loss in the District Chakwal of Pakistan.
Ayman El Sabagh +2 more
exaly +2 more sources
Time-dependent and phenology-based erodibility assessments in agricultural areas are extremely important for a more accurate evaluation of erosion. This paper aims to investigate soil erodibility factor (RUSLE-K) of the “Revised Universal Soil Loss ...
Selen Saygın
doaj +1 more source
Recent advances in the assessment of soil erosion vulnerability in watersheds [PDF]
Water induced soil erosion has always been a matter of concern in watersheds as they increase the soil vulnerability towards erosion. If unchecked, the eroded material reduces the capability of the river to carry the adequate amount of water and
Pandey Shachi +4 more
doaj +1 more source
Linking the past, present and future scenarios of soil erosion modeling in a river basin [PDF]
BACKGROUND AND OBJECTIVE: Soil erosion is considered one of the major indicators of soil degradation in our environment. Extensive soil erosion process leads to erosion of nutrients in the topsoil and decreases in fertility and hence productivity ...
C. Loukrakpam, B. Oinam
doaj +1 more source

