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Authors: Marco Manso 1 and Mourad Bezzeghoud 2

Affiliations: 1 Instituto de Ciências da Terra, Universidade de Évora, Évora, Portugal ; 2 Departamento de Física (ECT), Instituto de Ciências da Terra (IIFA), Universidade de Évora, Portugal

Keyword(s): Accelerometers, Seismology, Environmental Monitoring, Noise.

Abstract: Seismic networks help understanding the phenomena related with seismic events. These networks are employing low-cost accelerometers in order to achieve high-density deployments enabling accurate characterisation (high resolution) of strong earthquake motion and early warning capabilities. In order to assess the applicability of low-cost accelerometers in seismology, it is essential to evaluate their noise characteristics and identify their detectability thresholds. In this paper, a method is proposed that provides an indication of sensor noise, being demonstrated on different sensors. The method is designed to adapt to a sensor’s characteristics while on-site and in-operation, thus removing potentially related logistical and maintenance bottlenecks.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Manso, M. and Bezzeghoud, M. (2021). On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers. In Proceedings of the 10th International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-489-3; ISSN 2184-4380, SciTePress, pages 100-106. DOI: 10.5220/0010319001000106

@conference{sensornets21,
author={Marco Manso. and Mourad Bezzeghoud.},
title={On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers},
booktitle={Proceedings of the 10th International Conference on Sensor Networks - SENSORNETS},
year={2021},
pages={100-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010319001000106},
isbn={978-989-758-489-3},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Sensor Networks - SENSORNETS
TI - On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers
SN - 978-989-758-489-3
IS - 2184-4380
AU - Manso, M.
AU - Bezzeghoud, M.
PY - 2021
SP - 100
EP - 106
DO - 10.5220/0010319001000106
PB - SciTePress