alexa Fractal Characterisation of Geophysical Measuring Networks and its Implication for an Optimal Location of Additional Stations: An Application to a Rain-Gauge Network
Geology & Earth Science

Geology & Earth Science

Journal of Geography & Natural Disasters

Author(s): A Mazzarella, G Tranfaglia

Abstract Share this page

The locations of measuring stations are often inhomogeneously distributed in space, possibly because of both geophysical interests and access problems. The areal inhomogeneity of a network can be well characterised by its fractal dimension, that is an index ranging progressively from 0 (when all stations are distributed on a single point or on isolated points) to 2 (when all stations are uniformly distributed). Appreciating the scaling region, inside which the station-co-ordinates are fractally distributed, provides valuable information both on the minimum detectable scale and on the minimum resolvable dimension. The increase in the measuring capability of a network must occur through its strategic enlargement resulting in a compromise between the fractal dimension increase and local topographic necessities. An application to a rain-gauge network belonging to the Naples Section of the Italian Hydrographic Service is reported.

This article was published in Theoretical and Applied Climatology and referenced in Journal of Geography & Natural Disasters

Relevant Expert PPTs

Recommended Conferences

  • 2nd World Congress on GIS and Remote Sensing
    July 20-21, 2017 Munich, Germany
  • 3rd World Congress on GIS and Remote Sensing
    September 20-21, 2017 Charlotte, North Carolina, USA

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version