Neotectonic Vertical Movements in the South Sikhote-Alin and Characteristics of Self-Similarity of the Stream Network in the Region

2020 ◽  
Vol 75 (4) ◽  
pp. 330-341 ◽  
Author(s):  
D. A. Simonov ◽  
V. S. Zakharov ◽  
G. Z. Gil’manova ◽  
A. N. Didenko
Author(s):  
D. A. Simonov ◽  
V. S. Zakharov ◽  
G. Z. Gilmanova ◽  
A. N. Didenko

Morphostructural analysis of the relief and fractal analysis of the stream network of the South of the Sikhote-Alin orogenic belt were carried out. The formation of the relief at the neotectonic stage occurred in several stages, which was reflected in the stream network pattern: 1) during pre-Oligocene time there was a general uplift of Sikhote-Alin; 2) in the Pliocene there was an activation of vertical neotectonic movements, most intense to the East of the Central Sikhote-Alin fault and synchronous whith basalt volcanism; 3) in the Pleistocene vertical movements of significant amplitude did not occur, at this time the modern erosion-denudation relief of the region was formed; 4) at the end of the Pleistocene and in Holocene there was a slight activation of vertical movements to the East of the Central Sikhote-Alin fault, which was reflected in the peculiarities of residual relief. Comparison of morphological and fractal analysis results showed, that the maximum of complex parameter of self-similarity PRNS coincide with the areas of greatest increments in elevation and the minima is the smallest increment of relief or whith the areas whith most significant erosion. In regions with the stage character of neotectonic development during fractal analysis of stream network it is necessary to consider additional factors due to the peculiarities of development of the stream network at each stage of development, and conservative of its pattern, reflecting features of the development of the relief in different stages.


2020 ◽  
Vol 39 (6) ◽  
pp. 48-64
Author(s):  
V. S. Zakharov ◽  
◽  
D. A. Simonov ◽  
G. Z. Gilmanova ◽  
A. N. Didenko ◽  
...  

A new complex parameter is proposed to characterize the self-similarity of a river network, that is, the parameter of river networks self-similarity (PRNS), which is a combination of the exponent in the distribution of channels along the lengths, fractal dimension of channels, and fractal dimension of points of channel order change, which is more correct when compared with neotectonic movements. A comprehensive analysis of the self-similarity of the river network model for the southern Sikhote-Alin derived from the Digital Elevation Model (DEM) based on the Shuttle Radar Topography Mission (SRTM) image was performed. Comparison of the results of morphostructural and fractal analyses showed a good correlation of these two methods. PRNS relative maxima coincide with areas where ascending neotectonic movements are of the largest amplitude (increment of relief), while minima coincide with areas either of the least increment of relief or where erosion rates are the greatest. At the same time, most epicenters of crustal earthquakes are confined to the boundary zones between PRNS relative maxima and minima, that is, uplifts are flanked by elongated seismic areas, which is related to the block nature of neotectonic vertical movements.


2019 ◽  
Vol 10 (2) ◽  
pp. 541-559
Author(s):  
V. S. Zakharov ◽  
A. N. Didenko ◽  
G. Z. Gil’manova ◽  
T. V. Merkulova

We performed a comprehensive analysis of the characteristics of self‐similarity of seismicity and the fault network within the Sikhote Alin orogenic belt and the adjacent areas. It has been established that the main features of seismicity are controlled by the crustal earthquakes. Differentiation of the study area according to the density of earthquake epicenters and the fractal dimension of the epicentral field of earthquakes (De) shows that the most active crustal areas are linked to the Kharpi‐Kur‐Priamurye zone, the northern Bureya massif and the Mongol‐Okhotsk folded system. The analysis of the earthquake recurrence plot slope values reveals that the highest b‐values correlate with the areas of the highest seismic activity of the northern part of the Bureya massif and, to a less extent, of the Mongol‐Okhotsk folded system. The increased fractal dimension values for the fault network (Df) correlate with the folded systems (Sikhote Alin and Mongol‐Okhotsk), while the decreased values conform to the depressions and troughs (Middle Amur, Uda and Torom). A comparison of the fractal analysis results for the fault network with the recent stress‐strain data gives evidence of their general confineness to the contemporary areas of intense compression. The correspondence between the field of the parameter b‐value for the upper crustal earthquakes and the fractal dimension value for the fault network (Df) suggests a general consistency between the self‐similar earthquake magnitude (energy) distribution and the fractal distribution of the fault sizes. The analysis results demonstrate that the selfsimilarity parameters provide an important quantitative characteristic in seismotectonics and can be used for the neotectonic and geodynamic analyses.


Author(s):  
Daniel J Madigan ◽  
Andrew J Richardson ◽  
Aaron B Carlisle ◽  
Sam B Weber ◽  
Judith Brown ◽  
...  

Abstract Quantifying vertical distributions of pelagic predators elucidates pelagic ecosystem structure and informs fisheries management. In the tropical South Atlantic Ocean, the recently designated large-scale marine protected area around Ascension Island hosts diverse pelagic predators for which basin-specific vertical habitat information is minimal or absent. We used pop-up satellite archival tags to analyse vertical habitat use in 12 species (bigeye tuna Thunnus obesus, blue marlin Makaira nigricans, blue shark Prionace glauca, dolphinfish Coryphaena hippurus, Galapagos shark Carcharhinus galapagensis, oceanic whitetip Carcharhinus longimanus, sailfish Istiophorus albicans, silky shark Carcharhinus falciformis, swordfish Xiphias gladius, tiger shark Galeocerdo cuvier, wahoo Acanthocybium solandri, and yellowfin tuna Thunnus albacares) and quantify parameters (temperature, dissolved oxygen, diel cycles, lunar phase) known to constrain vertical movements. Predator depth distributions varied widely, and classification trees grouped predators into four clades: (i) primarily epipelagic; (ii) partial thermocline use; (iii) oscillatory diving with thermocline/sub-thermocline use; and (iv) extensive use of sub-thermocline waters. Vertical habitat differences were linked to thermal physiology and foraging ecology, and species-specific physical constraints from other ocean basins were largely conserved in the South Atlantic. Water column features defined species-specific depth distributions, which can inform fisheries practices and bycatch risk assessments and population estimates.


Author(s):  
I. Yu. Chernova ◽  
◽  
D. K. Nourgaliev ◽  
O. S. Chernova ◽  
O. V. Luneva ◽  
...  

Structural and geomorphological methods are often applied to the search for small oil-producing structures. Morphometric analysis of digital elevation models has proved to be the most informative one. Morphometric surfaces can be used to evaluate the direction and amplitude of vertical movements, to outline local and regional neotectonic structures and assess their petroleum saturation. This paper shows how to enhance the traditional morphometric analysis with GIS (geographic information systems) tools. A manifold increase in the efficiency of morphometric analysis takes it to a qualitatively new level. Setting specific parameters for some geoprocessing tools (for example, stream network tools) can be very important when studying local structures in small areas. In case of large territories, the output result is almost independent of the calculation errors. The improved technique proposed in this paper was tested on a large territory located in the Volga region. As a result, high-order morphometric surfaces were obtained, which was not possible before. In addition, a statistically significant relationship was discovered between morphometric surfaces and distribution of oil deposits, which can be considered a reliable prospecting indicator in the Volga-Ural petroleum province. Keywords: neotectonics; structural and morphological methods; geoinformation systems; hydrocarbon potential assessment.


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