3 resultados para Loss Equation
em BORIS: Bern Open Repository and Information System - Berna - Suiça
Resumo:
Soil erosion on sloping agricultural land poses a serious problem for the environment, as well as for production. In areas with highly erodible soils, such as those in loess zones, application of soil and water conservation measures is crucial to sustain agricultural yields and to prevent or reduce land degradation. The present study, carried out in Faizabad, Tajikistan, was designed to evaluate the potential of local conservation measures on cropland using a spatial modelling approach to provide decision-making support for the planning of spatially explicit sustainable land use. A sampling design to support comparative analysis between well-conserved units and other field units was established in order to estimate factors that determine water erosion, according to the Revised Universal Soil Loss Equation (RUSLE). Such factor-based approaches allow ready application using a geographic information system (GIS) and facilitate straightforward scenario modelling in areas with limited data resources. The study showed first that assessment of erosion and conservation in an area with inhomogeneous vegetation cover requires the integration of plot-based cover. Plot-based vegetation cover can be effectively derived from high-resolution satellite imagery, providing a useful basis for plot-wise conservation planning. Furthermore, thorough field assessments showed that 25.7% of current total cropland is covered by conservation measures (terracing, agroforestry and perennial herbaceous fodder). Assessment of the effectiveness of these local measures, combined with the RUSLE calculations, revealed that current average soil loss could be reduced through low-cost measures such as contouring (by 11%), fodder plants (by 16%), and drainage ditches (by 53%). More expensive measures such as terracing and agroforestry can reduce erosion by as much as 63% (for agroforestry) and 93% (for agroforestry combined with terracing). Indeed, scenario runs for different levels of tolerable erosion rates showed that more cost-intensive and technologically advanced measures would lead to greater reduction of soil loss. However, given economic conditions in Tajikistan, it seems advisable to support the spread of low-cost and labourextensive measures.
Resumo:
Die Bodenerosions-Gefährdungskarte gibt einen nationalen Überblick über das Abtragsrisiko der Schweizer Böden und vor allem für die Ackerböden. Mit Hilfe einer angepassten Version des empirischen Erosionsmodells «Universal Soil Loss Equation» (USLE) wurde die langfristige Bodenerosionsgefährdung flächendeckend im Hektarraster berechnet. Die Bodenerosions-Gefährdungskarte soll den Kantonen als Grundlage dienen, detaillierte Karten zu erstellen oder besonders gefährdete Gebiete vertieft zu untersuchen. Unter der Annahme, dass alle Ackerflächen mit dem Pflug bearbeitet und keine Zwischenfrüchte angebaut werden, weisen bei heutiger Fruchtfolgegestaltung 61 % aller Ackerflächen einen langjährigen mittleren Bodenabtrag von unter zwei Tonnen pro Hektare und Jahr auf und sind damit als wenig erosionsgefährdet einzustufen. 22 % liegen im kritischen Bereich zwischen zwei und vier Tonnen pro Hektare und Jahr, 17 % sind mit mehr als vier Tonnen pro Hektare und Jahr als stark erosionsgefährdet zu bezeichnen. Die räumliche Verteilung der Abtragswerte zeigt ein sehr heterogenes Muster innerhalb der Hauptackerbau-Regionen ohne räumlich konzentrierte Schwerpunktregionen. In einer Szenario-Berechnung, bei der die Bodenbearbeitung mit dem Pflug durch Direktsaat sowie Winterbrache durch Zwischenkulturanbau flächendeckend ersetzt werden, reduziert sich das Bodenerosionsrisiko im Durchschnitt um rund zwei Drittel.
Resumo:
Rainfall erosivities as defined by the R factor from the universal soil loss equation were determined for all events during a two-year period at the station La Cuenca in western Amazonia. Three methods based on a power relationship between rainfall amount and erosivity were then applied to estimate event and daily rainfall erosivities from the respective rainfall amounts. A test of the resulting regression equations against an independent data set proved all three methods equally adequate in predicting rainfall erosivity from daily rainfall amount. We recommend the Richardson model for testing in the Amazon Basin, and its use with the coefficient from La Cuenca in western Amazonia.