Correlation Analysis of Elevation and the Relief Degree of Land Surface in Henan Province

DOI

10.2991/ammsa-18.2018.56How to use a DOI?

Keywords

digital elevation model; altitude elevation; the relief degree of land surface; correlation coefficient

Abstract

Elevation and the relief degree of land surface are important factors in describing the regional topographic features. Studying their spatial relationship could further understand the spatial characteristics of the regional topographic distribution. Based on the 30m×30m digital elevation model, this paper uses raster algebra and spatial analysis method to calculate the relief degree of land surface and its correlation coefficient with elevation, analyzes their spatial distribution characteristics from the aspect of structure ratio, in order to explore their spatial relationship. The results indicate that the topography of Henan province is dominated by low and medium altitude elevation and low relief degree. the maximum values of elevation and the relief degrees in longitude lines and latitude lines show 4 ladders, their local differences are significant. the difference of amplitude is obvious in the transition zone around 1 mountain elevation, its variance is obviously higher than that in other mountain transition zones. The elevation of 300m is the separatrix of the correlation coefficient change, on the left the correlation coefficient is directly proportional to elevation, and on the right side which is inversely proportional to elevation. There are clear correlations between the elevations and the relief degrees in 100-1300m and 1500- 1800m.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kaiguang Zhang
AU  - Mingting Ba
AU  - Hongling Meng
AU  - Yanmin Sun
PY  - 2018/05
DA  - 2018/05
TI  - Correlation Analysis of Elevation and the Relief Degree of Land Surface in Henan Province
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 271
EP  - 275
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.56
DO  - 10.2991/ammsa-18.2018.56
ID  - Zhang2018/05
ER  -