Malawi Seismogenic Source Database

Jack N Williams; Luke N J Wedmore; Åke Fagereng; Max Werner; Juliet J Biggs; H. Mdala; Folarin Kolawole; Donna Shillington; Zuze Dulanya; Felix Mphepo; Patrick Chindandali; Lachlan JM Wright; Christopher A Scholz

doi:10.5281/zenodo.5599617

Malawi Seismogenic Source Database

Jack N Williams^*
, Luke N J Wedmore
, Åke Fagereng
, Max Werner
, Juliet J Biggs
, H. Mdala
, Folarin Kolawole
, Donna Shillington
, Zuze Dulanya
, Felix Mphepo
, Patrick Chindandali
, Lachlan JM Wright
, Christopher A Scholz

^*Corresponding author for this work

Research output: Other contribution

Abstract

The Malawi Seismogenic Source Database (MSSD) is a geospatial database that documents the geometry, slip rate and seismogenic properties (ie earthquake magnitude and frequency) of active faults in Malawi. Each geospatial feature represents a potential earthquake rupture of 'source' and is classified based on its geometry into one of three types:

- section
- fault
- multi-fault

Source types are mutually exclusice, and so if incorporated into a PSHA, they should be assigned relative weightings.

The MSSD is the first seismogenic source database in central and northern Malawi, and represents an update of the South Malawi Seismogenic Source Database (SMSSD; Williams et al., 2021) because it incorporates new active fault traces (Kolawole et al., 2021; Williams et al., submitted - MAFD), new geodetic data (Wedmore et al., 2021) and a statistical treatment of uncertainty, within a logic tree approach.

Original language	English
Publisher	Zenodo
DOIs	https://doi.org/10.5281/zenodo.5599617
Publication status	Published - 26 Oct 2021

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10.5281/zenodo.5599617Licence: CC BY

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1 Article (Academic Journal)

Geologic and geodetic constraints on the magnitude and frequency of earthquakes along Malawi’s active faults: The Malawi Seismogenic Source Model (MSSM)
Williams, J. N., Wedmore, L. N. J., Fagereng, A., Werner, M., Mdala, H., Shillington, D., Scholz, C. A., Kolawole, F., Wright, L. J., Biggs, J. J., Dulanya, Z., Mphepo, F. & Chindandali, P., 7 Nov 2022, In: Natural Hazards and Earth System Sciences Discussions. 22, 11, p. 3607–3639 33 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

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2 Finished

8035 GCRF GLOBAL RESEARCH TRANSLATIONAL AWARDS EP/T015462/1 - SAFER PREPARED
Sextos, A. (Principal Investigator), Macdonald, J. H. G. (Co-Investigator), Biggs, J. J. (Co-Investigator), De Risi, R. (Co-Investigator), Werner, M. (Co-Investigator), Agarwal, J. (Co-Investigator) & De Luca, F. (Co-Investigator)
1/10/19 → 31/03/22
Project: Research
PREPARE: Enhancing PREParedness for East African Countries through Seismic Resilience Engineering
Biggs, J. J. (Principal Investigator) & Macdonald, J. H. G. (Principal Investigator)
1/05/17 → 31/03/22
Project: Research, Parent

Cite this

@misc{b788103c00924666ac75ad7d6ab93b7e,

title = "Malawi Seismogenic Source Database",

abstract = "The Malawi Seismogenic Source Database (MSSD) is a geospatial database that documents the geometry, slip rate and seismogenic properties (ie earthquake magnitude and frequency) of active faults in Malawi. Each geospatial feature represents a potential earthquake rupture of 'source' and is classified based on its geometry into one of three types: - section - fault - multi-fault Source types are mutually exclusice, and so if incorporated into a PSHA, they should be assigned relative weightings. The MSSD is the first seismogenic source database in central and northern Malawi, and represents an update of the South Malawi Seismogenic Source Database (SMSSD; Williams et al., 2021) because it incorporates new active fault traces (Kolawole et al., 2021; Williams et al., submitted - MAFD), new geodetic data (Wedmore et al., 2021) and a statistical treatment of uncertainty, within a logic tree approach.",

author = "Williams, \{Jack N\} and Wedmore, \{Luke N J\} and {\AA}ke Fagereng and Max Werner and Biggs, \{Juliet J\} and H. Mdala and Folarin Kolawole and Donna Shillington and Zuze Dulanya and Felix Mphepo and Patrick Chindandali and Wright, \{Lachlan JM\} and Scholz, \{Christopher A\}",

year = "2021",

month = oct,

day = "26",

doi = "10.5281/zenodo.5599617",

language = "English",

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T1 - Malawi Seismogenic Source Database

AU - Williams, Jack N

AU - Wedmore, Luke N J

AU - Fagereng, Åke

AU - Werner, Max

AU - Biggs, Juliet J

AU - Mdala, H.

AU - Kolawole, Folarin

AU - Shillington, Donna

AU - Dulanya, Zuze

AU - Mphepo, Felix

AU - Chindandali, Patrick

AU - Wright, Lachlan JM

AU - Scholz, Christopher A

PY - 2021/10/26

Y1 - 2021/10/26

N2 - The Malawi Seismogenic Source Database (MSSD) is a geospatial database that documents the geometry, slip rate and seismogenic properties (ie earthquake magnitude and frequency) of active faults in Malawi. Each geospatial feature represents a potential earthquake rupture of 'source' and is classified based on its geometry into one of three types: - section - fault - multi-fault Source types are mutually exclusice, and so if incorporated into a PSHA, they should be assigned relative weightings. The MSSD is the first seismogenic source database in central and northern Malawi, and represents an update of the South Malawi Seismogenic Source Database (SMSSD; Williams et al., 2021) because it incorporates new active fault traces (Kolawole et al., 2021; Williams et al., submitted - MAFD), new geodetic data (Wedmore et al., 2021) and a statistical treatment of uncertainty, within a logic tree approach.

AB - The Malawi Seismogenic Source Database (MSSD) is a geospatial database that documents the geometry, slip rate and seismogenic properties (ie earthquake magnitude and frequency) of active faults in Malawi. Each geospatial feature represents a potential earthquake rupture of 'source' and is classified based on its geometry into one of three types: - section - fault - multi-fault Source types are mutually exclusice, and so if incorporated into a PSHA, they should be assigned relative weightings. The MSSD is the first seismogenic source database in central and northern Malawi, and represents an update of the South Malawi Seismogenic Source Database (SMSSD; Williams et al., 2021) because it incorporates new active fault traces (Kolawole et al., 2021; Williams et al., submitted - MAFD), new geodetic data (Wedmore et al., 2021) and a statistical treatment of uncertainty, within a logic tree approach.

U2 - 10.5281/zenodo.5599617

DO - 10.5281/zenodo.5599617

M3 - Other contribution

PB - Zenodo

ER -

Malawi Seismogenic Source Database

Abstract

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Research output

Geologic and geodetic constraints on the magnitude and frequency of earthquakes along Malawi’s active faults: The Malawi Seismogenic Source Model (MSSM)

Projects

8035 GCRF GLOBAL RESEARCH TRANSLATIONAL AWARDS EP/T015462/1 - SAFER PREPARED

PREPARE: Enhancing PREParedness for East African Countries through Seismic Resilience Engineering

Cite this