The Ship-Routing Optimization Based on the Three-Dimensional Modified Isochrone Method

2013 ◽  
Author(s):  
Yu-Hsien Lin ◽  
Ming-Chung Fang
Keyword(s):  
North Pacific Ocean ◽  
Routing Algorithm ◽  
Three Dimensional ◽  
Parametric Roll ◽  
Ship Routing ◽  
Routing Optimization ◽  
The North ◽  
Dynamic Forces ◽  
External Forces ◽  
The North Pacific

In this paper, the authors proposed a ship weather-routing algorithm based on the composite influence of dynamic forces, i.e. wind, wave and current forces, for determining the optimized transoceanic voyages. Our developed routing algorithm, three-dimensional modified isochrones (3DMI) method, utilizes the recursive forward technique and floating grid system for both the east- and west-bound ship routes in the North Pacific Ocean. In order to achieve the goals of minimized fuel-consumption or the maximized-safety routes for the transoceanic voyages, two sailing methods are applied as the prerequisite routes in the earth coordinate systems. The illustrative analysis of ship routes has been presented and discussed based on the realistic constraints, such as the presence of land boundaries, non-navigable sea, external forces, parametric roll responses as well as ship speed loss. As a result, the proposed calculation is verified to be effective for the optimized sailings by adjusting the weighting parameters in the objective functions.

Estimation and Comparison of Accuracy in Various Data Resolutions on Optimal Ship Routing Across the North Pacific Ocean

2019 ◽  
Author(s):  
Kenji Sasa ◽  
Takuya Fujimatsu ◽  
Chen Chen ◽  
Ruri Shoji
Keyword(s):  
Los Angeles ◽  
North Pacific Ocean ◽  
Grid Point ◽  
Temporary Employment ◽  
Ship Routing ◽  
The North ◽  
Strong Winds ◽  
Environmental Prediction ◽  
The North Pacific ◽  
Global Data

Abstract The amount of maritime cargo has been increasing for several decades. However, most seafarers have been shifting from lifetime employment to temporary employment. This may result in the ships lacking the adept techniques of seafarers, which significantly increases the reliance and importance of operational support systems. There are many studies on optimal ship routing, but its accuracy has not been discussed sufficiently. Especially, the grid point value on the weather database is the most important factor to discuss regarding its accuracy. In the field of meteorology, these databases have been improved to include global data in recent decades. In this study, the simulation results are compared to know the influence to the accuracy if the spatial and time resolutions vary in each condition. Optimal ship routing is computed using the isochrone method, which is one of the major methods of route analysis. Numerical simulations are conducted for a container ship between Tokyo and Los Angeles, with the weather databases of National Centers for Environmental Prediction (NCEP) and National Oceanic and Atmospheric Administration (NOAA). It is known that there are no significant differences between each resolution setting. However, the optimal voyage routes are different if the ship avoids high waves or strong winds in any direction. The accuracy is more influenced by the maneuverability in rough seas than the spatial and time resolutions of the weather databases. Accordingly, optimal ship routing must consider the actual maneuvering and speed loss theories, besides the development of a meteorological database.

scholarly journals Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 388
Author(s):  
Hao Cheng ◽  
Liang Sun ◽  
Jiagen Li
Keyword(s):  
Neural Network ◽  
Pacific Ocean ◽  
North Pacific ◽  
North Pacific Ocean ◽  
Sea Surface ◽  
Satellite Measurements ◽  
Surface Parameters ◽  
The North ◽  
The North Pacific ◽  
Bpnn Model

The extraction of physical information about the subsurface ocean from surface information obtained from satellite measurements is both important and challenging. We introduce a back-propagation neural network (BPNN) method to determine the subsurface temperature of the North Pacific Ocean by selecting the optimum input combination of sea surface parameters obtained from satellite measurements. In addition to sea surface height (SSH), sea surface temperature (SST), sea surface salinity (SSS) and sea surface wind (SSW), we also included the sea surface velocity (SSV) as a new component in our study. This allowed us to partially resolve the non-linear subsurface dynamics associated with advection, which improved the estimated results, especially in regions with strong currents. The accuracy of the estimated results was verified with reprocessed observational datasets. Our results show that the BPNN model can accurately estimate the subsurface (upper 1000 m) temperature of the North Pacific Ocean. The corresponding mean square errors were 0.868 and 0.802 using four (SSH, SST, SSS and SSW) and five (SSH, SST, SSS, SSW and SSV) input parameters and the average coefficients of determination were 0.952 and 0.967, respectively. The input of the SSV in addition to the SSH, SST, SSS and SSW therefore has a positive impact on the BPNN model and helps to improve the accuracy of the estimation. This study provides important technical support for retrieving thermal information about the ocean interior from surface satellite remote sensing observations, which will help to expand the scope of satellite measurements of the ocean.

scholarly journals Nursery origin and population connectivity of swordfish Xiphias gladius in the North Pacific Ocean

2021 ◽  
Author(s):  
R. J. David Wells ◽  
Veronica A. Quesnell ◽  
Robert L. Humphreys ◽  
Heidi Dewar ◽  
Jay R. Rooker ◽  
...  
Keyword(s):  
Pacific Ocean ◽  
North Pacific ◽  
North Pacific Ocean ◽  
Population Connectivity ◽  
The North ◽  
Xiphias Gladius ◽  
The North Pacific
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