Explosion Contamination of the Northeast Siberian Seismicity Catalog: Implications for Natural Earthquake Distributions and the Location of the Tanlu Fault in Russia

Mackey, K. G.; Fujita, Kazuya; Gounbina, L. V.; Козьмин, Б. М.; Imaev, V. S.; Имаева, Л. П.; Sedov, B. M.

doi:10.1785/0120010196

Cited by 23 publications

(21 citation statements)

References 15 publications

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“…Приведенная карта планового рас-пределения эпицентров землетрясений Восточной Сибири (рис. 4.7) была построена при компиляции данных, полученных региональными отделениями геофизической службы РАН и СО РАН, а также при использовании каталогов местных землетрясений, которые доступны по литературным источникам и свободно находятся в интернет-ресурсах на сайтах (Mackey et al, 2003; http:// www.seismos-u.ifz.ru/). (Mackey et al, 2010;http: // www.seismosu.ifz…”

Section: рис 46 распределение магнитуд землетрясений в разных зонаunclassified

“…С севера он оконтурен четко выражен- -4 -разломы: 1 -сбросы, 2 -взбросы и надвиги, 3 -сдвиги, 4 -неустановленной кинема-тики. Стрелками показаны направление движения плит и блоков, рядом их скорость сме-щения (см/год) по геодезическим и GPS данным (Бочаров, Замараев, 1991;Apel et al, 2006;Calais et al, 1998;Mackey et al, 2003) Алдано-Становой блок, зажатый между Забайкальским блоком, Евразийской и Амур-ской плитами, испытывает давление со стороны Забайкальского блока. Последний в связи с раскрытием Байкальского рифта смещается к юго-востоку со скоростью 0.5-0.7 см/год (Calais et al, 1998) …”

Section: рис 54 схема разломно-блоковых структур центральной и восunclassified

“…лет назад, когда полюс вращения мигрировал на северо-запад, к своему нынешнему по-ложению около моря Лаптевых (Cook et al, 1986;Кogan et al, 2000), помещая хребет Черско-го в условия сжатия, но с сохранившимися остатками вулканической активности и высокого теплового потока (Имаев и др., 1990). (Fujita et al, 2010;Riegel et al, 1993;Имаев и др., 1990Mackey et al, 2003Mackey et al, , 2010. …”

Section: дополнениями))unclassified

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Карта Сейсмотектоники Восточной Сибири

Имаева¹,

В.С.²,

О.П.³

et al. 2015

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Section: рис 46 распределение магнитуд землетрясений в разных зонаunclassified

Section: рис 54 схема разломно-блоковых структур центральной и восunclassified

Section: дополнениями))unclassified

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Карта Сейсмотектоники Восточной Сибири

Имаева¹,

В.С.²,

О.П.³

et al. 2015

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“…In studying natural earthquakes along the extension of Tanlu Fault in Russia, Mackey et al (2003) in indicated that the detection of natural earthquakes can be contaminated by industrial explosions. In this part of Russia, the industrial explosions include mining of tin, gold, and coal, as well as in the construction of roads, railways and dams.…”

Section: Interpretation Of Time Seriesmentioning

confidence: 99%

The origin and detection of spike-like anomalies in soil gas radon time series

et al. 2011

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Desorption of radon is of short duration but longer than telluric noises and is usually accomplished in less than one minute based on our binary event counting with a 16 second interval. Adapting an hourly counting time schedule, telluric noises as well as transient variation of radon anomalies of a few hours duration can be excluded but not the spike-like anomalies of a few minutes duration. The time series of soil gas radon, as recorded continuously in a redesigned ditch located inside an active fault zone, has sporadic spike-like anomalies. The anomalies could represent desorbed radon from shallow sources as observed from a similar detecting system located near a construction site. Radon release due to compressive stress is related to compressive back-filling activities. Spike-like anomalies, on the other hand, are related to caisson auguring shear activities. Charge transfer related to electrokinetic potential phenomena may have resulted in the sudden radon releases and caused spike-like anomalies. The timing of the anomalies provides good information on the timing of electokinetic potential change as a result of outward propagation of stress from hypocenter. With multiple monitoring stations, the location, timing, and magnitude of the incoming earthquake can then be calculated or graphically derived.

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“…Note the sparse station spacing used in these preliminary studies compared to the station spacing in the BASE deployment ( Figure 1). The time-of-day discriminant [7], [8], was used to verify the catalog consistency and evaluate general trends of the region. The time-frequency discriminant helps identify delayed-fired sequences common in mining regions and separates the largest mining events from background seismicity [9], [10].…”

mentioning

confidence: 99%

Assessment of Regional Explosion Discriminants Using Data Sets of Unparalleled Spatial Sampling

Miller¹,

Worthington²,

Harder³

et al. 2012

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. (From -To) REPORT DATE (DD-MM-YY) 31-10-2012 REPORT TYPE Final Report DATES COVERED PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Texas A&M University College of Geosciences MS3148 TAMU College Station, TX 77843-3148 PERFORMING ORGANIZATION REPORT NUMBER SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S)Air Force Research Laboratory AFRL/RVBYE Space Vehicles Directorate 3550 Aberdeen Ave SE SPONSOR/MONITOR'S REPORTKirtland AFB, NM 87117-5776 NUMBER(S) AFRL-RV-PS-TR-2012-0228 DISTRIBUTION / AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. (377ABW-2013-0028 dtd 09 Jan 2013) SUPPLEMENTARY NOTES ABSTRACTWe used data from the Bighorn Arch Seismic Experiment (BASE) to determine P-wave velocity structure and assess regional explosion discriminants in north-central Wyoming. BASE is a multi-scale, hybrid active/passive seismic experiment designed to determine crust and mantle structure below the Bighorn Mountains. North-central Wyoming experiences a spectrum of manmade and natural events, from regional earthquakes and teleseisms to mine blasts and single fire shots, making the region a compelling natural laboratory in which to investigate implications for regional discrimination. The velocity structure across the region is calculated through tomographic inversion of arrival times from 21 controlled-source single-fired seismic shots. The detailed velocity models can also be used to investigate the degree of spatial sampling of the seismic wavefield needed to characterize 3D wave propagation effects. For the discrimination study, we used the single-charge explosions from the BASE experiment, mining explosions, and ~40 earthquakes to test seismic discriminants using USARRAY broadband data and data recorded at station RSSD. An amplitude ratio of Pg (6-12 Hz) versus Lg (6-12 Hz) mostly separated the earthquakes from the explosions. Lg spectral ratios also separated the explosions from the earthquakes, but not as well as the Pg/Lg ratio.

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Explosion Contamination of the Northeast Siberian Seismicity Catalog: Implications for Natural Earthquake Distributions and the Location of the Tanlu Fault in Russia

Cited by 23 publications

References 15 publications

Карта Сейсмотектоники Восточной Сибири

Карта Сейсмотектоники Восточной Сибири

The origin and detection of spike-like anomalies in soil gas radon time series

Assessment of Regional Explosion Discriminants Using Data Sets of Unparalleled Spatial Sampling

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