scholarly journals GEBCO GRIDDED BATHYMETRIC DATASETS FOR MAPPING JAPAN TRENCH GEOMORPHOLOGY BY MEANS OF GMT SCRIPTING TOOLSET

2020 ◽  
Vol 46 (3) ◽  
pp. 98-112
Author(s):  
Polina Lemenkova
Keyword(s):  
Statistical Analysis ◽  
Graphical Models ◽  
Japan Trench ◽  
The Sea Of Japan ◽  
Free Air ◽  
Marine Gravity ◽  
2D And 3D ◽  
Geomorphological Analysis ◽  
Honshu Island ◽  
Northern Segment

The study investigated geomorphology of the Japan Trench located east of Japan, Pacific Ocean. A high-resolution GEBCO Gridded Bathymetric Dataset was used for modeling, mapping and visualization. The study aimed to compare and analyse variations in the geomorphic structures of the two parts of the trench and to visualize variations in the geological, geophysical and bathymetric settings. Technically, the cartographic work was performed using scripting based on the Generic Mapping Toolset (GMT). Modelled cross-sectioning orthogonal profiles transecting the trench in a perpendicular direction were automatically digitized and graphed in the two segments. The results of the bathymetric analysis shown that the southern part is shallower: with deeper values in absolute (139 samples between –7000 to –8000 m) and statistical records (the most frequent values are within –5500 to –5800 m) comparing to the northern segment (–5300 to –5500 m). The geomorphological analysis shows a more complicated relief in the northern part of the trench, which has a higher seismic activity. The southern part has a gentler slope on the Honshu island side. The geoid modeling along the trench ranges in 0–20 mGal. The highest values are recorded by the Honshu Island (>40 mGal). The rest of the area has rather moderate undulations (20–40 mGal). The free-air marine gravity of the Sea of Japan is <40 mGal. The results include 2D and 3D graphical models, thematic cartographic maps, spatial and statistical analysis of the Japan Trench geomorphology. Tested GMT functionality can be applied to future regional bathymetric modeling of the ocean trenches. All presented maps and graphs are made using GMT scripting toolset.

Detection of significant features and statistical analysis of 2D and 3D images of31p metabolites

1992 ◽  
Vol 25 (1) ◽  
pp. 85-93 ◽  
Author(s):  
Sarah J. Nelson ◽  
Daniel B. Vigneron ◽  
Truman R. Brown
Keyword(s):  
Statistical Analysis ◽  
3D Images ◽  
2D And 3D

Geotraverse across the Sikhote Alin ? The Sea of Japan ? The Honshu Island ? The Pacific

1985 ◽  
Vol 7 (3) ◽  
pp. 379-387 ◽  
Author(s):  
A. G. Rodnikov ◽  
A. G. Gainanov ◽  
B. V. Yermakov ◽  
V. M. Kovylin ◽  
V. A. Seliverstov ◽  
...  
Keyword(s):  
Sea Of Japan ◽  
The Sea Of Japan ◽  
Sikhote Alin ◽  
The Pacific ◽  
Honshu Island

scholarly journals Impact of a climate regime shift on the migration of Japanese common squid (Todarodes pacificus) in the Sea of Japan

2010 ◽  
Vol 67 (7) ◽  
pp. 1314-1322 ◽  
Author(s):  
Hideaki Kidokoro ◽  
Tsuneo Goto ◽  
Toru Nagasawa ◽  
Hiroshi Nishida ◽  
Tatsuro Akamine ◽  
...  
Keyword(s):  
Sea Of Japan ◽  
Regime Shift ◽  
The Sea Of Japan ◽  
Climate Regime ◽  
Spawning Grounds ◽  
Climate Regime Shift ◽  
Todarodes Pacificus ◽  
Common Squid ◽  
Japanese Common Squid ◽  
Honshu Island

Abstract Kidokoro, H., Goto, T., Nagasawa, T., Nishida, H., Akamine, T., and Sakurai, Y. 2010. Impact of a climate regime shift on the migration of Japanese common squid (Todarodes pacificus) in the Sea of Japan. – ICES Journal of Marine Science, 67: 1314–1322. Following a climate regime shift (RS) in 1989 in the northwest Pacific and Sea of Japan, the main spawning grounds of the Japanese common squid (Todarodes pacificus) shifted from inshore areas off Honshu Island to the Tsushima Strait, and the stock size increased. Migration patterns of T. pacificus occurred after the RS, based on tagging experiments conducted in July to September of 1984 and 1987–1991, are examined using monthly shifts in average latitude of recapture sites every 10 d. Before the RS, recaptures were in the central Sea of Japan and in inshore areas off Honshu Island, but after the RS, there were no recaptures inshore off Honshu Island. The average latitude of the recapture sites in September was about 36–37°N before the RS and north of 40°N (near the release sites) after the RS. It is likely that the location of the spawning grounds has changed.

scholarly journals An automatic system for controlling snow on roofs

1993 ◽  
Vol 18 ◽  
pp. 113-116 ◽  
Author(s):  
Moriaki Tamura
Keyword(s):  
Urban Areas ◽  
Critical Value ◽  
Model System ◽  
Electric Heater ◽  
The Sea Of Japan ◽  
Calculated Load ◽  
And Control ◽  
Liquid Precipitation ◽  
Honshu Island ◽  
Vast Area

In Honshu Island, Japan, tremendous amounts of snow falls over a vast area facing the Sea of Japan. The depth of deposited snow sometimes exceeds 2 m, even in urban areas. The weight of snow on roofs can damage conventional wooden houses. It is of great importance, therefore, to monitor and control roof snow loads. A model system has been developed for controlling snow on roofs. A precipitation detector capable of differentiating between solid and liquid precipitation and a water gauge for detecting the meltwater from a roof are combined to estimate the roof snow load. When the calculated load exceeds a critical value, an electric heater on the roof is energized to melt a portion of the snow. The whole system is controlled by a personal computer. The system was tested for about a month in 1990 with satisfactory results.

Sedimentation across the Japan Trench off northern Honshu Island

1982 ◽  
Vol 10 (1) ◽  
pp. 27-48 ◽  
Author(s):  
Roland von Huene ◽  
Michael A. Arthur
Keyword(s):  
Japan Trench ◽  
Honshu Island

scholarly journals The Mathematics of Causal Relations

2011 ◽  
Author(s):  
Judea Pearl
Keyword(s):  
Statistical Analysis ◽  
Causal Inference ◽  
Graphical Models ◽  
Causal Analysis ◽  
Structural Equations ◽  
Research Community ◽  
Statistical Research ◽  
Specific Incident ◽  
Future Events ◽  
The Many

Almost two decades have passed since Paul Holland published his highly cited review paper on the Neyman-Rubin approach to causal inference (Holland, 1986). Our understanding of causal inference has since increased severalfold, due primarily to advances in three areas: 1. Nonparametric structural equations 2. Graphical models Symbiosis between counterfactual and graphical methods 3. These advances are central to the empirical sciences because the research questions that motivate most studies in the health, social, and behavioral sciences are not statistical but causal in nature. For example, what is the efficacy of a given drug in a given population? Can data prove an employer guilty of hiring discrimination? What fraction of past crimes could have been avoided by a given policy? What was the cause of death of a given individual in a specific incident? Remarkably, although much of the conceptual framework and many of the algorithmic tools needed for tackling such problems are now well established, they are hardly known to researchers in the field who could put them into practical use. Why? Solving causal problems mathematically requires certain extensions in the standard mathematical language of statistics, and these extensions are not generally emphasized in the mainstream literature and education. As a result, large segments of the statistical research community find it hard to appreciate and benefit from the many results that causal analysis has produced in the past two decades. This chapter aims at making these advances more accessible to the general research community by, first, contrasting causal analysis with standard statistical analysis and, second, comparing and unifying various approaches to causal analysis. The aim of standard statistical analysis, typified by regression, estimation, and hypothesis-testing techniques, is to assess parameters of a distribution from samples drawn of that distribution. With the help of such parameters, one can infer associations among variables, estimate the likelihood of past and future events, as well as update the likelihood of events in light of new evidence or new measurements.

scholarly journals Geomorphological analysis of Tinto-B Vallis on Mars

2020 ◽  
Vol 69 (4) ◽  
pp. 333-348
Author(s):  
Vilmos Steinmann ◽  
Ákos Kereszturi ◽  
László Mari
Keyword(s):  
Statistical Analysis ◽  
Water Erosion ◽  
Drainage Density ◽  
Mature Stage ◽  
Average Width ◽  
Work Analysis ◽  
Main Valley ◽  
Geomorphological Evolution ◽  
First Time ◽  
Geomorphological Analysis

This work analysis an 81 km long 1.85 km wide fluvial valley on Mars (at 2°55’ South and 111°53’ East) for the first time, located near to the so-called Palos carter and Tinto Vallis, called Tinto-B hereafter. The length of the valley is approximately 81 km, and the average width is ~1.85 km, depth ~250 m. The hypsometric curves were created in 5 different buffer sizes on the main valley and the biggest tributary valley. The tributary valley shows a youth stage in the geomorphological evolution opposite to the main valley, which shows a mature stage. The crater statistical analysis based age of the main valley (2.9 Ga) poorly correlates with the early wet period of the red planet, thus, formed somehow later than most Martian valleys. Using the model SIMWE (SIMulated Water Erosion), for the to identify the small-scaled tributary valley systems and the small-scaled erosional landforms showed area elevated drainage density. The highest density of the tributary sections is 29.02 km/km2 , and the average is 3.09 km/km2. Considering only the main valley 0.017 km/km2 would have been measured, suggesting dozen(s) early tributaries were heavily eroded.

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