2017 21st International Conference on Process Control (PC)

Analysis of the Hydrometeorological Data Using the Fractal Dimension Estimation

J. Jura, M. Novak
Czech Technical University in Prague

Abstract

This paper deals with an evaluation of a hydrometeorology data from sites of a different land use and mainly from the places with a different leaf area index. Two methods of an estimation of the Fractal Dimension of a hydrometeorology time series, which is based on the original principle of coastline length measuring, were developed. Also indicator of autoregulation of temperature in the ecosystem was prosed. The first results indicate that developed methods are usable for testing of the relation between measured data and autoregulation functions of the ecosystem.

Full paper

060.pdf

Session

Applications and Case Studies (Poster)

Reference

Jura, J.; Novak, M.: Analysis of the Hydrometeorological Data Using the Fractal Dimension Estimation. Editors: Fikar, M. and Kvasnica, M., In Proceedings of the 2017 21st International Conference on Process Control (PC), Štrbské Pleso, Slovakia, June 6 – 9, 137–142, 2017.

BibTeX
@inProceedings{pc2017-060,
author = {Jura, J. and Novak, M.},
title = {Analysis of the Hydrometeorological Data Using the Fractal Dimension Estimation},
booktitle = {Proceedings of the 2017 21st International Conference on Process Control (PC)},
year = {2017},
pages = {137-142},
editor = {Fikar, M. and Kvasnica, M.},
address = {\v{S}trbsk\'e Pleso, Slovakia}}
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