Publications

We are dedicated to advancing the frontiers of knowledge in our respective fields and sharing our findings with the broader research community. We regularly publish our research and insights in a variety of formats, including academic journals, conference proceedings, books, and reports.

Algorithms for Detecting P-Waves and Earthquake Magnitude Estimation: Initial Literature Review Findings

Chandrakumar, C., Prasanna, R., Stephens, M., Tan, M.L., Holden, H., Punchihewa, A., Becker, J.S., Jeong, S., Ravishan, D.

Proceedings of the ISCRAM Asia Pacific Conference 2022

Earthquake Early Warning System (EEWS) plays a major role during an earthquake in alerting the public and authorities to take appropriate safety measures during an earthquake. Generally, EEWSs use three types of algorithms to generate alerts during an earthquake; namely: source-based, ground motion or wavefield-based and on-site-based approaches. However, source-based algorithms are commonly used in most of EEWSs worldwide. A source-based EEWS uses a particular time frame of the P-wave of an earthquake to estimate the source parameters such as magnitude and the location of that earthquake with the support of P-wave detection and earthquake magnitude and location estimation algorithms. As the initial step of a research project which aims to explore the best use of P-waves to generate earthquake alerts, this Work in Progress paper (WiPe) presents the initial partial findings from an ongoing literature review on exploring the algorithms used for P-wave detection and earthquake magnitude estimation.

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Publication List

2023

Algiriyage, N., Prasanna, R., Stock, K., Doyle, E.E.H., Johnston, D. (2023). DEES: a real-time system for event extraction from disaster-related web text. Social Network Analysis and Mining. https://doi.org/10.1007/s13278-022-01007-2

Gober, M., Christel, I., Hoffman, D., Mooney, C.J., Rodriquez, L., Becker, N., Ebert, E.E., Fearnley, C., Fundel, V.J., Grieger, T., Golding, B., Jeurig, J., Kelman, I., Kox, T., Magro, F-A., Perrels, A., Postigo, J.C., Potter, S.H., Robbins, J., Rust, H., Schoster, D., Tan, M.L., Taylor, A., and William, H. (2023). Enhancing the value of weather and climate services in society - identified gaps and needs as outcomes of the 1st WMO WWRP/SERA “Weather and Society” Conference. Bulletin of American Meteorological Society. https://doi.org/10.1175/BAMS-D-22-0199.1

2022

Algiriyage, N., Prasanna, R., Stock, K., Doyle, E.E.H., Johnston, D. (2022). Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review. SN Computer Science. https://doi.org/10.1007/s42979-021-00971-4

Becker, J.S., Vinnell, L.J., McBride, S.K., Nakayachi, K., Doyle, E.E.H., Potter, S.H., and Bostrom, A. (2022). The effects of earthquake experience on intentions to respond to earthquake early warnings. Frontiers in Communication. https://doi.org/10.3389/fcomm.2022.857004

Chandrakumar, C., Prasanna, R., Stephens, M. (2022). An ecosystem of low-cost sensors toward earthquake early Warning: An earthquake early warning system with multi-sensor capability. QuakeCoRE Annual Meeting, Napier, New Zealand. https://drive.google.com/file/d/1_OimNeIpfWkE1M16cXN97qIQ3lGzPD_3/view

Chandrakumar, C., Prasanna, R., Stephens, M., Tan, M.L. (2022). Earthquake early warning systems based on low-cost ground motion sensors: A systematic literature review. Frontiers in Sensors. https://doi.org/10.3389/fsens.2022.1020202

Chandrakumar, C., Prasanna, R., Stephens, M., Tan, M.L., Holden, H., Punchihewa, A., Becker, J.S., Jeong, S., Ravishan, D. (2022). Algorithms for Detecting P-Waves and Earthquake Magnitude Estimation: Initial Literature Review Findings. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/chanthujanchandrakumar/2023/2488_ChanthujanChandrakumar_etal2023.pdf

Dassanayake, S.M., Mahakalanda, I., Sanjula, D.M.R., Dissanayake, R., Pasan, M., Gunathunga, I., Thilina, N.K.G., Jayasooriya, P., Prageeth, R.M., Rathnayake, S., Jayawardena, C.L., Prasanna, R. (2022). Geospatial Impact Analytics of Hydrometeorological Hazards: A Study on Urban and Suburban Floods in Sri Lanka using Online Textual Data. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/smdassanayake/2023/2489_S.M.Dassanayake_etal2023.pdf

Harrison, S., Potter, S., Prasanna, R., Doyle, E.E.H., Johnston, D. (2022). Identifying the Impact-Related Data Uses and Gaps for Hydrometeorological Impact Forecasts and Warnings. Weather, Climate, and Society. https://doi.org/10.1175/WCAS-D-21-0093.1

Harrison, S., Potter, S., Prasanna, R., Doyle, E.E.H., Johnston, D. (2022). ‘Sharing is caring’: A socio-technical analysis of the sharing and governing of hydrometeorological hazard, impact, vulnerability, and exposure data in Aotearoa New Zealand. Progress in Disaster Science. https://doi.org/10.1016/j.pdisas.2021.100213

Holden, C. (2022). Engaging with end-users towards an earthquake early warning system for New Zealand. QuakeCoRE Annual Meeting, Napier, New Zealand. https://drive.google.com/file/d/1rwfvZAwWFksDHN3FDUN4GslHfO_zEZ6k/view?usp=share_link

Hong, B., Chandrakumar, C., Ravishan, D., Prasanna, R., (2022). A Peer-to-Peer Communication Method for Distributed Earthquake Early Warning Networks: Preliminary Findings. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/benjaminhong/2023/2485_BenjaminHong_etal2023.pdf

Huggins, T.J., Tan, M. L., Kuo, Y., Prasanna, R., Rea, D.D. (2022). Online learning adoption by Chinese university students during the Covid-19 pandemic. Australasian Journal of Disaster and Trauma Studies. https://trauma.massey.ac.nz/issues/2022-IS/AJDTS_26_IS_Huggins.pdf

Jayasinghe, K., Wijesinghe, C., Wijethilake, C., Prasanna, R. (2022). Collaborative public service provision archetypes in healthcare emergencies: a case of COVID-19 administration in Sri Lanka. Journal of Public Budgeting, Accounting & Financial Management. https://doi.org/10.1108/JPBAFM-12-2020-0191

Jayasiri, G.P., & Prasanna, R. (2022). Citizen Science for supporting Disaster Management Institutions in Sri Lanka. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/gpjayasiri/2023/2482_G.P.Jayasiri+RajPrasanna2023.pdf

Prasanna, R., Chandrakumar, C., Nandana, R., Holden, C., Punchihewa, A., Becker, J.S., Jeong, S., Liyanage, N., Ravishan, D., Sampath, R., Tan, M.L. (2022). Saving precious seconds: A low-cost earthquake early warning system for Aotearoa, New Zealand. QuakeCoRE Annual Meeting, Napier, New Zealand. https://drive.google.com/file/d/1NYgNJudFwF-pzElWJjY1x4SyPF7O8FTQ/view?usp=share_link

Prasanna, R., Chandrakumar, C., Nandana, R., Holden, C., Punchihewa, A., Becker, J.S., Jeong, S., Liyanage, N., Ravishan, D., Sampath, R., Tan, M.L. (2022). “Saving precious seconds”—A novel approach to implementing a low-cost earthquake early warning system with node-level detection and alert generation. Informatics. https://doi.org/10.3390/informatics9010025

Tan M.L., Prasanna, R., Cui, A., Chandrakumar, C., Imtiaz, S.Y., Hong, B., Viggers, Z. (2022). CRISiSLab Challenge: Hands-on learning with Raspberry Shake seismometers. QuakeCoRE Annual Meeting, Napier, New Zealand. https://drive.google.com/file/d/1XIsFHNMy9Sr6-A8VJY6myGPwATjQcuYo/view?usp=share_link

Tan M.L., Vinnell, L., Prasanna, R., Becker, J.S. (2022). The public’s initial insights on the Android Earthquake Alerts in Aotearoa New Zealand. QuakeCoRE Annual Meeting, Napier, New Zealand. https://drive.google.com/file/d/1UZJ8KSGO7oPqbE-x_eDngC-LhWg7vRkY/view?usp=share_link

Tan, M.L., Becker, J.S., Stock, K., Prasanna, R., Brown. A., Kenney, C., Cui, A., Lambie, E. (2022). Understanding the social aspects of earthquake early warning: A literature review. Frontiers in Communication. https://doi.org/10.3389/fcomm.2022.939242

Tan, M.L., Hoffmann, D., Ebert, E., Cui, A., Johnston, D., (2022). Exploring the potential role of citizen science in the warning value chain for high impact weather. Frontiers in Communication. https://doi.org/10.3389/fcomm.2022.949949

Tan, M.L., Senaweera, O., Gunwardana, A., Rasith, M., Suaib, M., Shanthakumar, T., Hisham, M. (2022). New Zealand COVID Tracer App: Understanding Usage and User Sentiments. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/marionlaratan/2023/2483_MarionLaraTan_etal2023.pdf

Velivela, V., Raj, C., Tiwana, M.S., Prasanna, R., Samarawickrama, M., Prasad, M. (2022). The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising. Proceedings of the ISCRAM Asia Pacific Conference 2022. https://idl.iscram.org/files/vivekvelivela/2023/2496_VivekVelivela_etal2023.pdf

Vinnell, L.J., Doyle, E.E.H., Inch, P., Tan, M.L., Becker, J.S., Johnston, D.J. (2022). Evacuation behavior and information needs of Wellington, Aotearoa New Zealand residents Following the 5 March 2021 Mw 7.3 East Cape Earthquake. Seismological Research Letters. https://doi.org/10.1785/0220210286

2021

Ahangama, N., & Prasanna, R (2021). Micro-theory on knowledge transfer to foster disaster resilience: A grounded theory approach. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2021.102569

Algiriyage, N., Prasanna, R., Stock, K., Doyle, E.E.H., Johnston, D., Punchihewa, M., Jayawardhana, S. (2021). Towards Real-time Traffic Flow Estimation using YOLO and SORT from Surveillance Video Footage. ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management. https://idl.iscram.org/files/nilanialgiriyage/2021/2311_NilaniAlgiriyage_etal2021.pdf

Algiriyage, N., Sampath, R., Prasanna, R., Stock, K., Doyle, E.E.H., Johnston, D. (2021). Identifying Disaster-related Tweets: A Large-Scale Detection Model Comparison. ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management. https://idl.iscram.org/files/nilanialgiriyage/2021/2368_NilaniAlgiriyage_etal2021.pdf

Brown, A., Parkin, T., Tan, M. L., Prasanna, R., Becker, J., Stock, K., Kenney, C., & Lambie, E. (2021). An earthquake early warning system for Aotearoa New Zealand? Community engagement findings 2020–2021. Massey University Online Repository. http://hdl.handle.net/10179/16735

Goded, T., Tan, M. L., Becker, J. S., Horspool, N., Canessa, S., Huso, R., Johnston, D. M. (2021). Using citizen data to understand earthquake impacts: Aotearoa New Zealand's earthquake Felt Reports. Australasian Journal of Disaster and Trauma Studies. https://www.massey.ac.nz/~trauma/issues/2021-3/AJDTS_25_3_Goded.pdf

Harrison, S., Potter, S., Prasanna, R., Doyle, E.E.H., Johnston, D. (2021). ‘Where oh where is the data?‘: Identifying data sources for hydrometeorological impact forecasts and warnings in Aotearoa New Zealand. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2021.102619

Huggins, T. J., Yang, L., Zhang, J., Tan, M. L., Prasanna, R. (2021). Psychological Effects of Dominant Responses to Early Warning Alerts. International Journal of Ambient Computing and Intelligence. http://doi.org/10.4018/IJACI.2021070101

Imtiaz, SY., Uma, SR., Prasanna, R., Wotherspoon, LM. (2021). ‘End to end’ linkage structure for integrated impact assessment of infrastructure networks under natural hazards. Bulletin of the New Zealand Society for Earthquake Engineering. https://doi.org/10.5459/bnzsee.54.2.153-162

Jayawardene, V., Huggins, TJ., Prasanna, R., Fakhruddin, B. (2021). The role of data and information quality during disaster response decision-making. Progress in Disaster Science. https://doi.org/10.1016/j.pdisas.2021.100202

Squance, H., Macdonald, C., Stewart, C., Prasanna, R., Johnston, D.M. (2021). Strategies for implementing a one welfare framework into emergency management. Animals. https://doi.org/10.3390/ani11113141

Tan M.L., Brown, A., Prasanna, R., Becker, J., Stock, K., Kenney, C., Cui, A., Lambie, E., Parkin, T., Reade, A., Tobin, A., Law, M. (2021). An earthquake early warning system for Aotearoa New Zealand? QuakeCoRE Annual Meeting, Online, New Zealand. https://drive.google.com/file/d/1G3MPzOkgGCizNwd5upt-jhhIWmygggmx/view?usp=share_link

Tan, M. L., Prasanna, R., Becker, J. S., Brown, A., Kenney, C., Lambie, E., Johnston, D. M., Stock, K., De Alwis, D. (2021). Outlook for earthquake early warning for Aotearoa New Zealand : Insights from initiating a community-of-practice. 2021 Annual Technical Conference for the New Zealand Society for Earthquake Engineering. https://repo.nzsee.org.nz/handle/nzsee/2350

Tan, M.L., Leonard, G.L., Johnston, D.M. (2021). Hawke's Bay Regional Alerting Systems Review. Disaster Research Science Report. https://www.hbemergency.govt.nz/assets/Documents/Reporting/Massey-University-Report-HB-Regional-Alerting-Systems-Review-DSR-Report-2021-4.pdf

Vinnell, L. J., Becker, J. S., Scolobig, A., Johnston, D. M., Tan, M. L., McLaren, L. (2021). Citizen science initiatives in high-impact weather and disaster risk reduction. Australasian Journal of Disaster and Trauma Studies. https://trauma.massey.ac.nz/issues/2021-3/AJDTS_25_3_Vinnell.pdf

2020

Algiriyage, N., Prasanna, R., Doyle, EEH., Stock, K., Johnston, D. (2020). Traffic Flow Estimation based on Deep Learning for Emergency Traffic Management using CCTV Images. ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management. https://idl.iscram.org/files/nilanialgiriyage/2020/2211_NilaniAlgiriyage_etal2020.pdf

Becker, J. S., Potter, S. H., Prasanna, R., Tan, M. L., Payne, B. A., Holden, C., Horspool, N., Smith, R., Johnston, D. M. (2020). Scoping the potential for earthquake early warning in Aotearoa New Zealand: A sectoral analysis of perceived benefits and challenges. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2020.101765

Harrison, S., Potter, S., Prasanna, R., Doyle, E.E.H., Johnston, D. (2020). Volunteered Geographic Information for people-centred severe weather early warning: A literature review. Australasian Journal of Disaster and Trauma Studies. https://www.massey.ac.nz/~trauma/issues/2020-1/AJDTS_24_1_Harrison.pdf

Huggins, T. J., & Prasanna, R (2020). Information technologies supporting emergency management controllers in New Zealand. Sustainability. https://doi.org/10.3390/su12093716

Jayasinghe, K., Kenney, C. M., Prasanna, R., Velasquez, J. (2020). Enacting “accountability in collaborative governance”: lessons in emergency management and earthquake recovery from the 2010–2011 Canterbury Earthquakes. Journal of Public Budgeting, Accounting & Financial Management. https://doi.org/10.1108/JPBAFM-09-2019-0143

Tan M.L., Prasanna, R., Becker, J., Holden, C., Waidyanatha, N., Punchihewa, A., Jeong, S., Stock, S., Brown, A., Kenney, C., Lambie, E., Nandana, R. (2020). An ongoing project for conceptualising a community-engaged network of low-cost sensors for earthquake early warning in Aotearoa New Zealand. QuakeCoRE Annual Meeting, Nelson, New Zealand. https://hdl.handle.net/10092/101476

Tan, M. L., Prasanna, R., Stock, K., Doyle, E. E.H., Leonard, G., Johnston, D. (2020). Modified Usability Framework for Disaster Apps: A Qualitative Thematic Analysis of User Reviews. International Journal of Disaster Risk Science. https://doi.org/10.1007/s13753-020-00282-x

Tan, M. L., Prasanna, R., Stock, K., Hudson-Doyle, E., Leonard, G., Johnston, D. (2020). Understanding end-users’ perspectives: Towards developing usability guidelines for disaster apps. Progress in Disaster Science. https://doi.org/10.1016/j.pdisas.2020.100118

Tan, M.L., Harrison, S., Becker, J., Doyle, E.E.H, Prasanna, R (2020). Research Themes on Warnings in Information Systems Crisis Management Literature. ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management. https://idl.iscram.org/files/marionlaratan/2020/2299_MarionLaraTan_etal2020.pdf

Tan, M.L., Prasanna, R., Stock, K., Doyle, E.E.H., Leonard, G., Johnston, D. (2020). Usability factors influencing the continuance intention of disaster apps: A mixed-methods study. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2020.101874

Uma, S.R., Syed, Y., Sapthala, K., Prasanna. R. (2020). Modelling interdependencies of critical infrastructure network recovery using a decision support system. GNS Science Report. https://shop.gns.cri.nz/sr_2020-18-pdf/