scholarly journals Spatial variation of subduction zone fluids during progressive subduction: Insights from Serpentinite Mud Volcanoes

2021 ◽  
Author(s):  
Catriona Menzies ◽  
Roy E. Price ◽  
Jeffrey Ryan ◽  
Olivier Sissmann ◽  
Ken Takai ◽  
...  
Keyword(s):  
Spatial Variation ◽  
Subduction Zone ◽  
Mud Volcanoes

scholarly journals Hydrocarbon seepage and its sources at mud volcanoes of the Kumano forearc basin, Nankai Trough subduction zone

2014 ◽  
Vol 15 (6) ◽  
pp. 2180-2194 ◽  
Author(s):  
Thomas Pape ◽  
Patrizia Geprägs ◽  
Sebastian Hammerschmidt ◽  
Paul Wintersteller ◽  
Jiangong Wei ◽  
...  
Keyword(s):  
Subduction Zone ◽  
Nankai Trough ◽  
Mud Volcanoes ◽  
Forearc Basin

scholarly journals PROBING THE NATURE AND CHARACTERISTICS OF ACTIVE MUD VOLCANIC CLUSTERS IN MAKRAN COASTAL ZONE, PAKISTAN

2020 ◽  
Vol 8 (3) ◽  
pp. 214-222
Author(s):  
Waseem Khan ◽  
Mahnoor Mirwani
Keyword(s):  
Subduction Zone ◽  
Continental Margin ◽  
Late Cretaceous ◽  
Coastal Region ◽  
Strike Slip ◽  
Mud Volcanoes ◽  
The West ◽  
Makran Subduction Zone ◽  
Sedimentary Environments ◽  
Lut Block

Makran Subduction Zone is formed in Late Cretaceous. It is divided into Eastern Makran at the southern edge of Helmand Block in Pakistan and the Western Makran at the southern edge of Lut Block in Iran. The velocity of convergence in Eastern and Western Makran are 42.0 mm/yr and 35.6 mm/yr repectively. Both segments are bound by strike-slip faults e.g. Ornach-Nal left lateral fault in the east and Minab right lateral in the west. Stratigraphically, the zone comprises Formations of ages ranging from Cretaceous to Holocene. In the Eastern Makran, most of the mud volcanoes are located along strike which include Awaran and Sipai-sing, Chandragup, Gwadar, Jabel-e-Gurab, Khandawari, Kund Malir, Ormara and Offshore mud volcanoes. The continental margin of Makran is an ideal environment of Oxygen Maximum Zone which receives organic rich matters in its sediments by marine organisms. Several assisting factors play significant roles in erupting the fluid and methane gasses through the mud vents in Makran Coastal Region such as tectonic stresses, oil, saltwater, and transmitting freshwater in the sedimentary environments.

scholarly journals Spatial and Temporal Analysis of b-value Imaging Characteristics Using High Precision Earthquake Spot in the Sumatran Subduction Zone

2021 ◽  
Vol 54 (2B) ◽  
pp. 1-11
Author(s):  
Muhammad Syukri
Keyword(s):  
Spatial Variation ◽  
Subduction Zone ◽  
Temporal Analysis ◽  
The United States ◽  
B Value ◽  
Least Square ◽  
United States Geological Survey ◽  
Eurasian Plate ◽  
Imaging Characteristics ◽  
Sumatra Island

Sumatra is one of the Indonesian regions categorized as active tectonics. The majority of past earthquakes in Sumatra and its surrounding areas have originated from the accumulated stress in the subduction zone, namely the submergence of the Indo-Australian plate against the Eurasian plate. This research was conducted to identify the level of accumulated stress and earthquake-prone areas in the subduction zone of Sumatra Island based on the spatial variation of the b-value, using the least square method. The data used in this study are earthquake parameter data from the International Seismological Center the United States Geological Survey and Meteorological, Climatological, and Geophysical Agency catalogs from 2005-2019 with a magnitude ≥ 1 and a depth of 0-200 km located 90° to 106°E and -6° to 5.8°S. The results showed that the spatial variation of the b-value in the subduction zone of Sumatra Island in 2005-2009 ranged from 0.31-0.77, the b-value for 2010-2014 ranged from 0.18-1.29. In 2015-2019, the spatial variation of b-values ranged from 0.28-1.2. Earthquake-prone areas are located around Breuh Island, Banyak Islands, and Sipura and Pagai Islands, as evidenced by a low b-value, correlating with a high level of unreleased accumulated stress from the past 15 years, leading to an immense earthquake potential in the next period within the area. This analysis shows very significantly found that high b-value matches with earthquake spots. Detailed spatial and temporal b-value characteristics and its interpretation can advance our comprehension of earthquake occurrence and ideally lead to improved forecasting agility.

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