Automatic classification of dome instabilities based on Doppler radar measurements at Merapi volcano, Indonesia: Part II

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

2

Time Series Analysis, Explosive Volcanism, Magma Migration And Fragmentation, Remote Sensing Of Volcanoes, Volcano Monitoring

Scientific paper

In this paper we analyse a 3-yr long time-series of activity at Merapi volcano, Indonesia, which was recorded using a Doppler radar system. Between November 2001 and July 2004 about 57000 events associated with dome instabilities have been recorded by the radar system. Because of the huge amount of data an automatic classification system has been developed, which identifies different types of instabilities at the lava dome (i.e. sliding material, gravitational break-offs and explosive outbursts) as well as rainfall. Comparing the record of detected instabilities to rockfall measurements deduced from the seismic network of the Volcanological Technology Research Center (VTRC), we are able to demonstrate the high potential of Doppler radar measurements for monitoring of dome activity. When aligned to the most active area at the dome, the radar detects significantly more events than the seismic system. In combination with seismic measurements, the Doppler radar allows for identifying changes in the location of the most active area at the dome. This is particularly helpful since the dome of Merapi is covered by clouds about 50 per cent of the time. Additionally, the radar data can help to distinguish between rockfalls and multiphase events in the seismic measurements.
The different types of instabilities have been analysed for their occurrence frequency in terms of size, volume and mean velocity. Significant temporal changes in the relative occurrence frequencies or the characteristic properties of the different types of instabilities have not been observed. However, during the period of fastest activity decrease, explosive instability events with a gravitational precursor decreased faster than events starting explosively. Because the radar system is able to observe rainfall, the data has been analysed for a link between rain and dome activity. Throughout the observation period no such link could be found, however, this might be due to the fact that the activity has been almost continuously decreasing.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Automatic classification of dome instabilities based on Doppler radar measurements at Merapi volcano, Indonesia: Part II does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Automatic classification of dome instabilities based on Doppler radar measurements at Merapi volcano, Indonesia: Part II, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatic classification of dome instabilities based on Doppler radar measurements at Merapi volcano, Indonesia: Part II will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-957236

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.