ABSTRACT. Recent studies have shown that urban ambient noise (UAN)
decreased at many sites due to a slowdown in human activities brought by the
SARS-CoV-2 (COVID-19) pandemic lockdowns. Such understanding is inferred
from the historical record of the noise levels, which may also help us
disambiguate noise sources as required for ambient noise tomography,
microseismic and other seismic based studies. As UAN is site-specific, and
its analysis enables passive situational awareness, therefore, in the
present study, we analyzed the temporal variations in UAN before, during and
after the social isolation in the metropolitan region of Lima, the capital
of Peru, for the very first time. We used continuous waveforms recorded from
February 1st to August 31st, 2020, at the Ñaña (NNA) broadband seismic
station for the analysis. Results show the temporal changes occur in
different frequency ranges; for example, at frequencies >1 Hz,
significant changes in the mean daytime amplitudes are observed, which are
absent in the lower frequency range (0.1–1, 1–3, 3–5 Hz). A maximum noise
reduction of 37% is observed and should be considered for any future
application of UAN. The results were verified by comparing with Community
Mobility Reports (CMR) provided by Google using statistical change-point
analysis.