Browse on keywords: erosion spatial variability
Search results on 04/27/18
4675. Mulla, D.J.. 1986. Distribution of slope steepness in the Palouse region of Washington.. Soil Sci. Soc. Am. J. 50:1401-1406.
The quantitative analysis of topography conducted in this study shows that considerable spatial variability of slope steepness occurs between differing slope aspects of large areas in the Palouse. This information could be used in developing improved runoff and erosion prediction models that account for spatial variability of topography over large areas. Gaussian frequency distributions provided the best statistical description of the data.
4684. Mulla, D.J.. 1988. Using geostatistics and spectral analysis to study spatial patterns in the topography of southeastern Washington State, USA.. Earth Surface Processes and Landforms, 13:389-405.
Topography from 4 areas of southeastern WA was analyzed using semivariograms and spectral analysis. Two-dimensional spectral analysis provided more detail concerning orientation and wavelengths of the periodic topographic patterns than the semivariogram analysis. Each approach has strengths and weaknesses. A quantitative method of topographic classification could lead to improved land use management decisions.