29 research outputs found
ΠΠΠΠ ΠΠΠΠΠ«Π₯ ΠΠΠ’ΠΠΠΠ«Π₯ Π ΠΠΠΠΠΠΠ ΠΠΠ ΠΠΠΠ
This paper describes the technique used to create and maintain the Active Faults of Eurasia Database (AFED) based on the uniform format that ensures integrating the materials accumulated by many researchers, incluΒding the authors of the AFED. The AFED includes the data on more than 20 thousand objects: faults, fault zones and associated structural forms that show the signs of latest displacements in the Late Pleistocene and Holocene. The geographical coordinates are given for each object. The AFED scale is 1:500000; the demonstration scale is 1:1000000. For each object, the AFED shows two kinds of characteristics: justification attributes, and estimated attributes. The justification attributes inform the AFED user about an object: the objectβs name; morphology; kinematics; the amplitudes of displacement for different periods of time; displacement rates estimated from the amplitudes; the age of the latest recorded signs of activity, seismicity and paleoseismicity; the relationship of the given objects with the parameters of crustal earthquakes; etc. The sources of information are listed in the AFED appendix. The estimated attributes are represented by the system of indices reflecting the fault kinematics according to the classification of the faults by types, as accepted in structural geology, and includes three ranks of the Late Quaternary movements and four degrees of reliability of identifying the structures as active ones. With reference to the indices, the objects can be compared with each other, considering any of the attributes, or with any other digitized information. The comparison can be performed by any GIS software. The AFED is an efficient tool for obtaining the information on the faults and solving general problems, such as thematic mapping, determining the parameters of modern geodynamic processes, estimaΒting seismic and other geodynamic hazards, identifying the tectonic development trends in the PlioceneβQuaternary stage of the Earth's development, etc. The Active Faults of Eurasia Database is created in the format providing for inputs of new information, as well the database updating and revision.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΈ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ Π½ΠΎΠ²ΠΎΠΉ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ
ΠΎΠ± Π°ΠΊΡΠΈΠ²Π½ΡΡ
ΡΠ°Π·Π»ΠΎΠΌΠ°Ρ
ΠΠ²ΡΠ°Π·ΠΈΠΈ (ΠΠ), ΠΈΠ½ΡΠ΅Π³ΡΠΈΡΠΎΠ²Π°Π²ΡΠ΅ΠΉ Π² Π΅Π΄ΠΈΠ½ΠΎΠΌ ΡΠΎΡΠΌΠ°ΡΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π», Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½ΡΠΉ ΠΊ Π½Π°ΡΡΠΎΡΡΠ΅ΠΌΡ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΠΌΠ½ΠΎΠ³ΠΈΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠΌΠΈ, Π²ΠΊΠ»ΡΡΠ°Ρ Π°Π²ΡΠΎΡΠΎΠ² ΠΠ. ΠΠ½Π° Π²ΠΌΠ΅ΡΠ°Π΅Ρ Π±ΠΎΠ»Π΅Π΅ 20 ΡΡΡ. Π³Π΅ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈ ΠΏΡΠΈΠ²ΡΠ·Π°Π½Π½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² β ΡΠ°Π·Π»ΠΎΠΌΠΎΠ², Π·ΠΎΠ½ ΡΠ°Π·Π»ΠΎΠΌΠΎΠ² ΠΈ ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ Π½ΠΈΠΌΠΈ ΡΡΡΡΠΊΡΡΡΠ½ΡΡ
ΡΠΎΡΠΌ Ρ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΡ
ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠ΅Π½ΠΈΠΉ Π² ΠΏΠΎΠ·Π΄Π½Π΅ΠΌ ΠΏΠ»Π΅ΠΉΡΡΠΎΡΠ΅Π½Π΅ ΠΈ Π³ΠΎΠ»ΠΎΡΠ΅Π½Π΅. ΠΠ°ΡΡΡΠ°Π±, Π² ΠΊΠΎΡΠΎΡΠΎΠΌ ΡΠΎΡΡΠ°Π²Π»Π΅Π½Π° ΠΠ, β 1:500000, Π° Π±Π°Π·ΠΎΠ²ΡΠΉ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΌΠ°ΡΡΡΠ°Π± β 1:1000000. ΠΠ°ΠΆΠ΄ΡΠΉ ΠΎΠ±ΡΠ΅ΠΊΡ ΠΠ ΡΠ½Π°Π±ΠΆΠ΅Π½ Π΄Π²ΡΠΌΡ Π²ΠΈΠ΄Π°ΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ (Π°ΡΡΠΈΠ±ΡΡΠΎΠ²) β ΠΎΠ±ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°ΡΡΠΈΠΌΠΈ ΠΈ ΠΎΡΠ΅Π½ΠΎΡΠ½ΡΠΌΠΈ. ΠΠ±ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°ΡΡΠΈΠ΅ Π°ΡΡΠΈΠ±ΡΡΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°Ρ ΡΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎΠ± ΠΎΠ±ΡΠ΅ΠΊΡΠ°Ρ
β ΠΈΡ
Π½Π°Π·Π²Π°Π½ΠΈΡ, Π΄Π°Π½Π½ΡΠ΅ ΠΎ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΠΊΠ΅, Π°ΠΌΠΏΠ»ΠΈΡΡΠ΄Ρ ΡΠΌΠ΅ΡΠ΅Π½ΠΈΠΉ Π·Π° ΡΠ°Π·Π½ΡΠ΅ ΠΎΡΡΠ΅Π·ΠΊΠΈ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ, ΡΠ°ΡΡΡΠΈΡΠ°Π½Π½ΡΠ΅ ΠΏΠΎ Π½ΠΈΠΌ ΡΠΊΠΎΡΠΎΡΡΠΈ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠΉ, Π²ΠΎΠ·ΡΠ°ΡΡ ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΡ
Π·Π°ΡΠΈΠΊΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ, ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ ΡΠ΅ΠΉΡΠΌΠΈΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΏΠ°Π»Π΅ΠΎΒΡΠ΅ΠΉΡΠΌΠΈΡΠ½ΠΎΡΡΠΈ, ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Ρ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ ΠΊΠΎΡΠΎΠ²ΡΡ
Π·Π΅ΠΌΠ»Π΅ΡΡΡΡΠ΅Π½ΠΈΠΉ ΠΈ Π΄ΡΡΠ³ΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΎΠ± ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ°Ρ
ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, ΡΠΏΠΈΡΠΎΠΊ ΠΊΠΎΡΠΎΡΡΡ
ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ ΠΊ ΠΠ. ΠΡΠ΅Π½ΠΎΡΠ½ΡΠ΅ Π°ΡΡΠΈΠ±ΡΡΡ β ΡΡΠΎ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ², ΠΎΡΡΠ°ΠΆΠ°ΡΡΠΈΡ
ΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΠΊΡ ΡΠ°Π·Π»ΠΎΠΌΠΎΠ² ΡΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΏΡΠΈΠ½ΡΡΠΎΠΉ Π² ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠΉ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠΈΠΏΠΈΠ·Π°ΡΠΈΠΈ, ΡΠ°Π½Π³ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠΎΠ·Π΄Π½Π΅ΡΠ΅ΡΠ²Π΅ΡΡΠΈΡΠ½ΡΡ
Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠΉ (ΡΡΠΈ Π³ΡΠ°Π΄Π°ΡΠΈΠΈ) ΠΈ ΡΡΠ΅ΠΏΠ΅Π½Ρ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΡΡΠΈ Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΡ ΡΡΡΡΠΊΡΡΡΡ ΠΊΠ°ΠΊ Π°ΠΊΡΠΈΠ²Π½ΠΎΠΉ (ΡΠ΅ΡΡΡΠ΅ Π³ΡΠ°Π΄Π°ΡΠΈΠΈ). ΠΠ½Π΄Π΅ΠΊΡΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΡΠΎΠΏΠΎΡΡΠ°Π²Π»ΡΡΡ ΠΎΠ±ΡΠ΅ΠΊΡΡ ΠΏΠΎ Π»ΡΠ±ΠΎΠΌΡ ΠΈΠ· Π°ΡΡΠΈΠ±ΡΡΠΎΠ² ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΡΠΌ ΡΠΏΠΎΡΠΎΠ±ΠΎΠΌ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΎΠ±ΠΎΠΉ ΠΈ Ρ Π»ΡΠ±ΡΠΌΠΈ Π΄ΡΡΠ³ΠΈΠΌΠΈ Π²ΠΈΠ΄Π°ΠΌΠΈ ΠΎΡΠΈΡΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π»ΡΠ±ΠΎΠΉ ΠΠΠ‘-ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΠΠ Π΄Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ Π΄Π»Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΡΠ²Π΅Π΄Π΅Π½ΠΈΠΉ ΠΎ ΡΠ°Π·Π»ΠΎΠΌΠ°Ρ
ΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π±ΠΎΠ»Π΅Π΅ ΠΎΠ±ΡΠΈΡ
Π·Π°Π΄Π°Ρ β ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΡΡΠΎΠ³ΡΠ°ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Π³Π΅ΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ², ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠ΅ΠΉΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈ Π΄ΡΡΠ³ΠΈΡ
Π³Π΅ΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠ΅ΠΉ, ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΉ ΡΠ΅ΠΊΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π½Π° ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅ΠΌ, ΠΏΠ»ΠΈΠΎΡΠ΅Π½-ΡΠ΅ΡΠ²Π΅ΡΡΠΈΡΠ½ΠΎΠΌ, ΡΡΠ°ΠΏΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΠ΅ΠΌΠ»ΠΈ. Π€ΠΎΡΠΌΠ°Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΠ Π΄ΠΎΠΏΡΡΠΊΠ°Π΅Ρ Π΅Π΅ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠ΅ ΠΏΠΎΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅ ΠΈ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡ Ρ ΠΏΠΎΡΠ²Π»Π΅Π½ΠΈΠ΅ΠΌ Π½ΠΎΠ²ΡΡ
ΡΠ²Π΅Π΄Π΅Π½ΠΈΠΉ.
ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ Π°ΠΊΡΠΈΠ²Π½ΡΡ ΡΠ°Π·Π»ΠΎΠΌΠΎΠ² ΠΠ²ΡΠ°Π·ΠΈΠΈ ΠΏΡΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΠΈ ΡΠ΅ΠΊΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ Π·Π°Π΄Π°Ρ
The article describes principles, methods and tasks of tectonic studies using computer processing of the Active Faults of Eurasia Database. This new database contains more than 30000 objects that are geographically linked, equipped with attributes of the kinematic type, estimated movement rates and activity confidence ranks. As an examβ ple, we consider processing of the data on several tectonic regions of the AlpineβHimalayan mobile belt and construction of roseβdiagrams of faults for a comparative analysis of their Late Cenozoic kinematics. The processed data set also covered the CaucasusβAnatolian region and the entire central part of the mobile belt, and fields of shortening/lengthening and shearing were mapped to assess the patterns of these processes in different areas and to determine the characteristics of the tectonic flow of the upper crust material. Prospects are discussed for the database processing with the use of all the available attributive information for structuralβkinematic and geodynamic analysis, including processing of the database in combination with independent remote and geophysical data.ΠΠΏΠΈΡΡΠ²Π°ΡΡΡΡ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ, ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΈ Π·Π°Π΄Π°ΡΠΈ ΡΠ΅ΠΊΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΊΠΎΠΌβ ΠΏΡΡΡΠ΅ΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π½ΠΎΠ²ΠΎΠΉ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ
Π°ΠΊΡΠΈΠ²Π½ΡΡ
ΡΠ°Π·Π»ΠΎΠΌΠΎΠ² ΠΠ²ΡΠ°Π·ΠΈΠΈ, ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠ΅ΠΉ Π±ΠΎΠ»Π΅Π΅ 30000 Π³Π΅ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅β ΡΠΊΠΈ ΠΏΡΠΈΠ²ΡΠ·Π°Π½Π½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ², ΡΠ½Π°Π±ΠΆΠ΅Π½Π½ΡΡ
Π°ΡΡΠΈΠ±ΡΡΠ°ΠΌΠΈ ΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΈΠΏΠ°, ΠΎΡΠ΅Π½ΠΊΠ°ΠΌΠΈ ΡΠΊΠΎΡΠΎΡΡΠ΅ΠΉ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΡΡΠΈ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΡΠΈΠΌΠ΅ΡΠΎΠ² ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ° ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠ΅ΠΊΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ ΠΠ»ΡΠΏΠΈΠΉΡΠΊΠΎβΠΠΈΠΌΠ°Π»Π°ΠΉΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ΄Π²ΠΈΠΆΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ° Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΎΠ·Π°βΠ΄ΠΈΠ°Π³ΡΠ°ΠΌΠΌ ΡΠ°Π·Π»ΠΎΠΌΠΎΠ² Π΄Π»Ρ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈΡ
ΠΏΠΎΠ·Π΄Π½Π΅ΠΊΠ°ΠΉΠ½ΠΎΠ·ΠΎΠΉΡΠΊΠΎΠΉ ΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΠΊΠΈ. Π’Π°ΠΊΠΆΠ΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ° ΠΠ°Π²ΠΊΠ°Π·ΡΠΊΠΎβΠΠ½Π°ΡΠΎΠ»ΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΈ Π²ΡΠ΅ΠΉ ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ°ΡΡΠΈ ΠΏΠΎΠ΄Π²ΠΈΠΆΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ° Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ΠΌ ΠΊΠ°ΡΡ ΠΏΠΎΠ»Π΅ΠΉ Π΄Π΅ΡΠΎΡΠΌΠ°ΡΠΈΠΉ ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΡ β ΡΠ΄Π»ΠΈΠ½Π΅Π½ΠΈΡ ΠΈ ΡΠ΄Π²ΠΈΠ³Π° Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΡ
ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π² ΡΠ°Π·Π½ΡΡ
ΠΎΠ±Π»Π°ΡΡΡΡ
ΠΈ Π²ΡΡΡΠ½Π΅Π½ΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠ΅ΠΊΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅β Π½ΠΈΡ Π²Π΅ΡΡ
Π½Π΅ΠΊΠΎΡΠΎΠ²ΡΡ
ΠΌΠ°ΡΡ. ΠΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ
Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π²ΡΠ΅Π³ΠΎ ΠΊΠΎΠΌβ ΠΏΠ»Π΅ΠΊΡΠ° ΡΠΎΠ΄Π΅ΡΠΆΠ°ΡΠ΅ΠΉΡΡ Π² Π½Π΅ΠΉ Π°ΡΡΠΈΠ±ΡΡΠΈΠ²Π½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π΄Π»Ρ ΡΡΡΡΠΊΡΡΡΠ½ΠΎβΠΊΠΈΠ½Π΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ Π³Π΅ΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎβ Π³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π±Π°Π·Ρ Π΄Π°Π½Π½ΡΡ
ΡΠΎΠ²ΠΌΠ΅ΡΡΠ½ΠΎ Ρ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΡΠΌΠΈ Π΄ΠΈΡΡΠ°Π½ΡΠΈΠΎΠ½Π½ΡΠΌΠΈ ΠΈ Π³Π΅ΠΎΡΠΈΠ·ΠΈΡΠ΅β ΡΠΊΠΈΠΌΠΈ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π°ΠΌΠΈ
Composition, crystallization conditions and genesis of sulfide-saturated parental melts of olivine-phyric rocks from Kamchatsky Mys (Kamchatka, Russia)
Highlights
β’ Parental melts of sulfide-bearing KM rocks have near primary MORB-like composition.
β’ Crystallization of these S-saturated melts occurred in near-surface conditions.
β’ Extensive fractionation and crustal assimilation are not the causes of S-saturation.
β’ S content in melts can be restored by accounting for daughter sulfide globules.
Abstract
Sulfide liquids that immiscibly separate from silicate melts in different magmatic processes accumulate chalcophile metals and may represent important sources of the metals in Earth's crust for the formation of ore deposits. Sulfide phases commonly found in some primitive mid-ocean ridge basalts (MORB) may support the occurrence of sulfide immiscibility in the crust without requiring magma contamination and/or extensive fractionation. However, the records of incipient sulfide melts in equilibrium with primitive high-Mg olivine and Cr-spinel are scarce. Sulfide globules in olivine phenocrysts in picritic rocks of MORB-affinity at Kamchatsky Mys (Eastern Kamchatka, Russia) represent a well-documented example of natural immiscibility in primitive oceanic magmas. Our study examines the conditions of silicate-sulfide immiscibility in these magmas by reporting high precision data on the compositions of Cr-spinel and silicate melt inclusions, hosted in Mg-rich olivine (86.9β90β―mol% Fo), which also contain globules of magmatic sulfide melt. Major and trace element contents of reconstructed parental silicate melts, redox conditions (ΞQFMβ―=β―+0.1β―Β±β―0.16 (1Ο) log. units) and crystallization temperature (1200β1285β―Β°C), as well as mantle potential temperatures (~1350β―Β°C), correspond to typical MORB values. We show that nearly 50% of sulfur could be captured in daughter sulfide globules even in reheated melt inclusions, which could lead to a significant underestimation of sulfur content in reconstructed silicate melts. The saturation of these melts in sulfur appears to be unrelated to the effects of melt crystallization and crustal assimilation, so we discuss the reasons for the S variations in reconstructed melts and the influence of pressure and other parameters on the SCSS (Sulfur Content at Sulfide Saturation)
THE ACTIVE FAULTS OF EURASIA DATABASE
This paper describes the technique used to create and maintain the Active Faults of Eurasia Database (AFED) based on the uniform format that ensures integrating the materials accumulated by many researchers, incluΒding the authors of the AFED. The AFED includes the data on more than 20 thousand objects: faults, fault zones and associated structural forms that show the signs of latest displacements in the Late Pleistocene and Holocene. The geographical coordinates are given for each object. The AFED scale is 1:500000; the demonstration scale is 1:1000000. For each object, the AFED shows two kinds of characteristics: justification attributes, and estimated attributes. The justification attributes inform the AFED user about an object: the objectβs name; morphology; kinematics; the amplitudes of displacement for different periods of time; displacement rates estimated from the amplitudes; the age of the latest recorded signs of activity, seismicity and paleoseismicity; the relationship of the given objects with the parameters of crustal earthquakes; etc. The sources of information are listed in the AFED appendix. The estimated attributes are represented by the system of indices reflecting the fault kinematics according to the classification of the faults by types, as accepted in structural geology, and includes three ranks of the Late Quaternary movements and four degrees of reliability of identifying the structures as active ones. With reference to the indices, the objects can be compared with each other, considering any of the attributes, or with any other digitized information. The comparison can be performed by any GIS software. The AFED is an efficient tool for obtaining the information on the faults and solving general problems, such as thematic mapping, determining the parameters of modern geodynamic processes, estimaΒting seismic and other geodynamic hazards, identifying the tectonic development trends in the PlioceneβQuaternary stage of the Earth's development, etc. The Active Faults of Eurasia Database is created in the format providing for inputs of new information, as well the database updating and revision
Active tectonics and geomorphology of the Kamchatsky Bay coast in Kamchatka
Kamchatsky Bay is the northernmost bay at the Pacific Kamchatka coast. It is located at the junction between the Kamchatka segment of the Pacific subduction zone and the dextral transform fault of the western Aleutians. The combination of the subduction and collision processes in this region results in the unique set of tectonic controls influencing its geological and geomorphological evolution.
The Kamchatka River estuarine area is located on the northern coast of Kamchatsky Bay. The modern Kamchatka River valley, its estuary, and an aggradation marine terrace some 30 km long and up to 5 km wide were formed in this area during the Holocene. A vast area in the rear part of the terrace and in the Stolbovskaya lowlands is now occupied by the peats deposited directly above lacustrine-lagoonal and fluvial facies. These aggradational landforms record traces of tsunamis and vertical coseismic deformations associated with great subduction earthquakes, as well as strike-slip and thrust faulting associated with the collision.
The results indicate that the average recurrence interval for major tsunamis in the Kamchatsky Bay is 300 years. The recurrence interval on individual fault zones associated with the collision between the western Aleutian and Kamchatka arcs is a few thousand years for earthquakes of magnitude between 7 and 7.5. For the entire region, the recurrence interval for major crustal earthquakes associated with motions along faults may be equal to a few hundred years, which is comparable with that for subduction-zone earthquakes
Using the Active Faults of Eurasia Database for solving tectonic problems
The article describes principles, methods and tasks of tectonic studies using computer processing of the Active Faults of Eurasia Database. This new database contains more than 30000 objects that are geographically linked, equipped with attributes of the kinematic type, estimated movement rates and activity confidence ranks. As an examβ ple, we consider processing of the data on several tectonic regions of the AlpineβHimalayan mobile belt and construction of roseβdiagrams of faults for a comparative analysis of their Late Cenozoic kinematics. The processed data set also covered the CaucasusβAnatolian region and the entire central part of the mobile belt, and fields of shortening/lengthening and shearing were mapped to assess the patterns of these processes in different areas and to determine the characteristics of the tectonic flow of the upper crust material. Prospects are discussed for the database processing with the use of all the available attributive information for structuralβkinematic and geodynamic analysis, including processing of the database in combination with independent remote and geophysical data
Resources to matrix control of mental activity in information environments
The analysis of information resources to influence mass consciousness and personality behavior is rather topical in social sciences as media tends to control the public sphere for political purposes. This article aims to research resources to control mental activity that is connected with framing communication techniques analysis, particularly identifying matrix techniques to manipulate the subjectβs cognitive orientation in the communication field. It has been emphasized that orientation in the network social sphere is realized in hierarchically organized information.El anΓ‘lisis de los recursos de informaciΓ³n para influir en la conciencia de masas y el comportamiento de la personalidad es bastante tΓ³pico en las ciencias sociales, ya que los medios tienden a controlar la esfera pΓΊblica con fines polΓticos. Este artΓculo tiene como objetivo investigar recursos para controlar la actividad mental que estΓ‘n conectados con el anΓ‘lisis de las tΓ©cnicas de comunicaciΓ³n enmarcada, en particular identificando las tΓ©cnicas de matriz para manipular la orientaciΓ³n cognitiva del sujeto en el campo de la comunicaciΓ³n. Se ha enfatizado que la orientaciΓ³n en la esfera social de la red se realiza en informaciΓ³n organizada jerΓ‘rquicamente
Rate of collisional deformation in Kamchatsky Peninsula, Kamchatka
Detailed data are discussed on the rate of Holocene horizontal and vertical movements along a fault in the southeastern Kamchatsky Peninsula, which is situated between the converging Aleutian and Kamchatka island arcs. The fault is the northern boundary of the block invading into the peninsula under pressure of the Komandorsky Block of the Aleutian arc. The rate of right-lateral slip along the fault was increasing in the Holocene and reached 18β19 mm/yr over the last 2000 years and 20 mm/yr by contemporary time. Comparison of these estimates with those that follow from offsets of older rocks also indicates acceleration of horizontal movements along the fault from the early Quaternary to the present. The results obtained from rates of GPS station migration show that about half the rate of the northwestern drift of the Komandorsky Block is consumed for movement of the block of the southern side of the fault. The remainder of movement of the Komandorsky Block is consumed for movements (probably, underthrusting) at the eastern continental slope of the Kamchatsky Peninsula
Microstructure and Properties of an Electrocontact Cuβ(ZnO/TiO2) Material
Π’Π΅ΠΊΡΡ ΡΡΠ°ΡΡΠΈ Π½Π΅ ΠΏΡΠ±Π»ΠΈΠΊΡΠ΅ΡΡΡ Π² ΠΎΡΠΊΡΡΡΠΎΠΌ Π΄ΠΎΡΡΡΠΏΠ΅ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΎΠΉ ΠΆΡΡΠ½Π°Π»Π°.AbstractβA copper-based electrical-contact composite material hardened by disperse zinc oxide and zinc
titanate is studied by electron microscopy and energy dispersive X-ray macroanalysis. The distribution of
oxide phases in the samples containing 2.5 wt % oxide nanopowder mixture in an initial charge is found to be
uniform. An increase in the amount of oxides leads to an increase in their sized in sintering. A relation
between the sample wear and the sample composition is obtained during laboratory tests. It is shown that the
introduction of more than 2.5 wt % oxide mixture results in intense wear of the working surface of the sample
and an increase in the running-in period of contacts