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###### Mean curvature

Mean curvature (H) is a half-sum of curvatures of two orthogonal normal sections of the topographic surface at the given point*. The unit of measurement is m-1.

Once elevations are given by , where x and y are plane Cartesian co-ordinates, mean curvature is a function of the partial derivatives of z:

,

where kmin, kmax, kh, and kv are minimal, maximal, horizontal, and vertical curvatures, correspondingly; , , , , .

Mean curvature presents convergence and relative deceleration of gravity-driven flows (controlled by horizontal and vertical curvatures, correspondingly) with equal weights.

Like other local morphometric variables, mean curvature can be derived from a digital elevation model (DEM) by a universal spectral analytical method as well as finite-difference methods (e.g., method 1, method 2, and method 3).

Example**. A model of mean curvature was derived from a DEM of Mount Ararat by the universal spectral analytical method. The model includes 779,401 points (the matrix 1081 x 721); the grid spacing is 1". To deal with the large dynamic range of this variable, its values were logarithmically transformed. The vertical exaggeration of the 3D model is 2x. The data processing and modelling were carried out using the software Matlab R2008b.

#### ** Florinsky, I.V., 2016. An illustrated introduction to geomorphometry. Almamac Space and Time, 11 (1): 20 p. (in Russian, with English abstract).  Article at the journal website

For details and other examples, see:

 DIGITAL TERRAIN ANALYSIS IN SOIL SCIENCE AND GEOLOGY   2nd revised edition     I.V. Florinsky   Elsevier / Academic Press, 2016 Amsterdam, 486 p.   ISBN 978-0-12-804632-6