Αποτελέσματα Αναζήτησης
1 Μαρ 1997 · The Revised Universal Soil Loss Equation (RUSLE) is an erosion model predicting longtime average annual soil loss (A) resulting from raindrop splash and runoff from specific field slopes in specified cropping and management systems and from rangeland.
Version 2 of the Revised Universal Soil Loss Equation (RUSLE2) estimates soil loss from rill and interrill (sheet and rill) erosion caused by rainfall and its associated overland flow. RUSLE2 uses six factors for climatic erosivity, soil erodibility, slope length, slope steepness, cover-management, and support practices to compute soil loss.
1 Αυγ 2021 · In this study, we systematically reviewed soil-erosion modelling applications worldwide and performed a statistical analysis with the aim of addressing identified knowledge gaps and facilitating information acquisition for the new country-based UN global soil erosion assessment.
1 ημέρα πριν · The RUSLE Model evolved from the universal soil-loss equation, developed by Renard et al. , to estimate the annual average soil loss from water erosion. This model facilitates a comprehensive understanding of the intricate relationships among various environmental factors influencing soil erosion, expressed mathematically in equation (Eq ...
erosion model is the Universal Soil Loss Equation (USLE) (Wischmeier and Smith, 1978) and its revised version (RUSLE) (Renard et al., 1997) which estimates long-term average annual soil loss by sheet and rill erosion. It should be noted that soil loss caused by (ephemeral) gully erosion is not predicted by RUSLE (Poesen et al., 2003).
In the following sections, this study will delve into: 1) the mechanisms of water erosion, detailing the types and drivers; 2) the environmental and socio-economic impacts; and 3) management and conservation strategies, highlighting both traditional and contemporary approaches to mitigating water erosion.
Soil erosion models aid land management by helping understand sediment transport and its effects on a landscape. They range from relatively simple empirical models, and conceptual models, to more complicated physics-based models (Merritt et al., 2003).
