Voice and data telecommunications restoration curves for 17 counties affected by the April 18, 2018, M7.0 HayWired earthquake scenario mainshock
Dates
Publication Date
2021-08-11
Time Period
2018-04-18
Citation
Wein, A.M., 2021, Voice and data telecommunications restoration curves for 17 counties affected by the April 18, 2018, M7.0 HayWired earthquake scenario mainshock: U.S. Geological Survey data release, https://doi.org/10.5066/P9HKJU90.
Summary
These data are a series of telecommunications voice and data restoration percentages for 17 counties affected by the HayWired earthquake scenario, a magnitude 7.0 earthquake occurring on the Hayward Fault on April 18, 2018, with an epicenter in the city of Oakland, CA. These data for telecommunications demand served are derived from residual network capacity based on potential hazard information (for example, ground shaking and liquefaction), assumptions about dependence on electric power restoration, and assumptions about network congestion caused by demand surge. Various resilience cases pertain to assumptions about the presence of backup power (for example, batteries or generators), ability to truck in fuel and portable equipment [...]
Summary
These data are a series of telecommunications voice and data restoration percentages for 17 counties affected by the HayWired earthquake scenario, a magnitude 7.0 earthquake occurring on the Hayward Fault on April 18, 2018, with an epicenter in the city of Oakland, CA. These data for telecommunications demand served are derived from residual network capacity based on potential hazard information (for example, ground shaking and liquefaction), assumptions about dependence on electric power restoration, and assumptions about network congestion caused by demand surge. Various resilience cases pertain to assumptions about the presence of backup power (for example, batteries or generators), ability to truck in fuel and portable equipment (for example, cells on wheel or gensets with fuel), and reductions in surges in demand for voice and data services after the mainshock. The model calculates demand served at different time steps (0, 1, 2, 3, 4, 5, 6, 7, 9, 30, and 90 days) following the HayWired scenario mainshock. The results are presented as a table, summarized by county and resilience case (with or without demand surge as a factor).
The counties covered in this analysis include the following: Alameda, Contra Costa, Marin, Merced, Monterey, Napa, Sacramento, San Benito, San Francisco, San Joaquin, San Mateo, Santa Clara, Santa Cruz, Solano, Sonoma, Stanislaus, and Yolo.
This comma-delimited .CSV dataset was developed and intended for use in standalone spreadsheet or database applications (such as Microsoft Excel).
These data support the following publication: Wein, A.M., Witkowski, D.W., Jones, J.L., Porter, K.A., Ballanti, L.R., and McBride, S.K., 2020, The HayWired scenario--Telecommunications and information communication technology, chap. S of Detweiler, S.T., and Wein, A.M., eds., The HayWired earthquake scenario--Societal consequences: U.S. Geological Survey Scientific Investigations Report 2017-5013-R-W, https://doi.org/10.3133/sir20175013.
These data were generated in support of the Science Application for Risk Reduction (SAFRR) project's HayWired earthquake scenario. Appropriate use may include future work related to research using the HayWired earthquake scenario as its earthquake source and earthquake planning and exercising. Please note that this dataset is based on scenario earthquake shaking data and does not represent any known future earthquake activity. These data are for educational and training purposes only.
