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The Meteorology, Climatology, and Geophysics Agency (BMKG) has evaluated the accelerograph data of 669 locations to determine the quality and characteristics of the seismic noise.

The Meteorology, Climatology, and Geophysics Agency (BMKG) has evaluated the accelerograph data of 669 locations to determine the quality and characteristics of the seismic noise. AJqV1
The Meteorology, Climatology, and Geophysics Agency (BMKG) has evaluated the accelerograph data of 669 locations to determine the quality and characteristics of the seismic noise. The data used is seismic noise recording for 7 days from 27 September - 3 October 2021. The evaluation is carried out by analyzing the noise level using the Probabilistic Power Spectral Density (PPD) method. The PPSD method describes the quality of the accelerograph data by comparing the signal spectral in the form of Power Spectral Density (PSD) for 7 days with the standard accelerometer noise model, namely the Accelerometer Low-Noise Model (ALNM) and the Accelerometer High-Noise Model (AHNM). The results of this data quality are evaluated and supported by the results of parameters in the form of Root Mean Square (RMS), amplitude ratio, number of spikes, percentage of data availability, number of gaps, and amount of overlap. Based on the results of the signal PSD analysis, the accelerograph data has 193 locations with very high cultural noise, 27 locations have damage to the digitizer/sensor, 12 locations have dataless instrument response errors, and 37 locations often experience gaps in the data. Based on the results of the spectrum analysis and other parameters, the evaluation form of the accelerograph data quality is grouped into Good, Fairly Good, Bad, and Dead. Of the 669 accelerograph locations, 217 locations have good value, 177 are quite good, 96 are bad, and 179 are in dead condition. It is expected that locations that have fairly good and bad conditions can be maintained, change sensors, or change locations if the cultural noise is very high.
The Meteorology, Climatology, and Geophysics Agency (
BMKG
) has evaluated the
accelerograph
data
of 669
locations
to determine the
quality
and characteristics of the seismic
noise
. The
data
used
is seismic
noise
recording for 7 days from 27
September - 3
October 2021.
The
evaluation
is carried
out by analyzing the
noise
level using the Probabilistic Power Spectral Density (PPD) method.
The
PPSD
method
describes
the
quality
of the
accelerograph
data
by comparing the signal spectral in the form of Power Spectral Density (PSD) for 7 days with the standard accelerometer
noise
model,
namely
the Accelerometer Low-Noise Model (
ALNM
) and the Accelerometer High-Noise Model (
AHNM
).
The
results
of this
data
quality
are evaluated
and supported by the
results
of parameters in the form of Root Mean Square (RMS), amplitude ratio, number of spikes, percentage of
data
availability, number of gaps, and amount of overlap. Based on the
results
of the signal PSD analysis, the
accelerograph
data
has 193
locations
with
very
high cultural
noise
, 27
locations
have damage to the digitizer/sensor, 12
locations
have
dataless
instrument response errors, and 37
locations
often
experience gaps in the
data
. Based on the
results
of the spectrum analysis and other parameters, the evaluation form of the
accelerograph
data
quality
is grouped
into
Good
,
Fairly
Good
,
Bad
, and Dead. Of the 669
accelerograph
locations
, 217
locations
have
good
value, 177 are quite
good
, 96 are
bad
, and 179 are in dead condition. It is
expected
that
locations
that have
fairly
good
and
bad
conditions can
be maintained
,
change
sensors, or
change
locations
if the cultural
noise
is
very
high.
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IELTS essay The Meteorology, Climatology, and Geophysics Agency (BMKG) has evaluated the accelerograph data of 669 locations to determine the quality and characteristics of the seismic noise.

Essay
  American English
1 paragraphs
264 words
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