Abstract Global sea surface salinity (SSS) has been obtained from space since 2009 by the Soil Moisture and Ocean Salinity (SMOS) mission further enhanced Aquarius in 2011 Active‐Passive (SMAP) missions 2015. Due to differences between SMOS, Aquarius, SMAP instruments used, retrieval algorithms, error correction strategies, quality of their gridded products are different. In this paper, we have assessed accuracy three satellite using situ data buoy data. Compared with measurements, monthly...

A mechanical ball milling method for ultrafast synthesis of a nickel-based metal organic framework (Ni-MOF) has been proposed. The Ni-MOF was successfully synthesized in merely one minute without any solvent, additives, or preliminary preparation. effect time, mechano-frequency, type assistant liquid, and amount water were systematically explored. It found that the product can be obtained even only at mechano-frequency 10 Hz within external solvent-assist, which indicated crystal present...

The theory of probabilistic linguistic term sets (PLTSs) is very useful in objectively dealing with the multi-criteria group decision making (MCGDM) problems which there hesitancy providing assessments; and PLTSs allow experts to express their preferences on one over another. In order reflect uncertainty inconsistency decision-makers handle incomplete information, we propose a new PLTS called interval-valued set (IVPLTS). addition, existing approaches associated are limited or highly complex...

Abstract A nonlinear empirical method, called the generalized regression neural network with fruit fly optimization algorithm (FOAGRNN), is proposed to estimate subsurface salinity profiles from sea surface parameters in Pacific Ocean. The purpose evaluate ability of FOAGRNN methodology and satellite data reconstruct profiles. Compared linear methodology, estimated method are better agreement measured at halocline. Sensitivity studies estimation model shows that, when applied various types...

In recent years, neural networks is increasingly adopted in the prediction of exchange rate. However, most them predict a specific number, which can not help speculators too much because small gap between predicted values and actual will lead to disastrous consequences. our study, purpose present model forecast fluctuation range rate by combining Fuzzy Granulation with Continuous-valued Deep Belief Networks (CDBN), concept "Stop Loss" introduced for making environment profit strategy close...

Abstract Combining the dynamical surface‐trapped mode derived from Surface Quasi‐Geostrophic (SQG) function with statistical calculated multivariate empirical orthogonal (EOF) reconstruction (mEOF‐R) method, this paper proposes a new SQG‐mEOF‐R, to estimate interior density sea surface and height. This method is applied eddy‐resolving Ocean General Circulation Model For Earth simulator simulation compared conventional SQG, isQG (interior plus SQG), mEOF‐R methods. Two different regimes were...

The self‐organizing map (SOM) is used to study the linkage between two western boundary currents, Kuroshio Current and Ryukyu Current, through Kerama Gap. Four coherent ocean current patterns, extracted from a numerical model output for Gap area, are describe variability of axis mesoscale eddies in system. temporal evolution these four patterns shows robust cycle with an average period 120 days. shift found be dominant factor determining water exchange Gap, associated also important...

Abstract. Cyclonic and anticyclonic eddies from large scale to submesoscale in the northern South China Sea (NSCS) have been statistically characterized based on satellite-tracked Lagrangian drifters using our developed geometric eddy identification method. There are total 2208 identified, 70% of which eddies. If eliminated, other NSCS will show a 1.2:1 ratio number anticyclones (210) cyclones (171). The spatial distribution is regional: southwest Taiwan, dominates cyclones, most them with...

There are two challenges in the comprehensive marine hazard assessment. The influencing mechanism of disaster is uncertain and data sparse. Aiming at knowledge small sample assessment modeling, we combine information diffusion algorithm Bayesian network to propose a novel model. adopted expand associated samples between losses environmental conditions. Then expanded sets used build BN-based model through structural learning, parameter learning probabilistic reasoning. proposed applied...

The maritime silk road policy of China brings opportunities to companies relating overseas investment. Despite the investment potentials, risks cannot be ignored and have still not been well assessed. Considering fact that ICRG comprehensive risk has certain subjectivity, it is completely applicable China’s Therefore, based on data Statistical Yearbook International Yearbook, a new indictor adopted better capture Chinese make our prediction more objective. In order acquire ability predict in...

The application of Bayesian network (BN) theory in risk assessment is an emerging trend. But cases where data are incomplete and variables mutually related, its restricted. To overcome these problems, improved BN model with parameter retrieval decorrelation ability proposed. First, multivariate nonlinear planning applied to the feedback error learning parameters. A genetic algorithm used learn probability distribution nodes that lack quantitative data. Then, based on grey relational analysis...

High-pressure tubing for civil aircraft Ti-3Al-2.5V hydraulic system is a critical material. This paper explores from the perspective of improving key production process parameters, by controlling Q value (wall reduction/inner diameter reduction) in last three passes rolling tubing, meets specification requirement contractile strain ratio (CSR) more than 1.3 while preliminary capability (CPK) improved 0.72 to 1.55, and performance index (PPK) 0.66 1.44, reaching level about 1.33, which...

This paper presents a new route planning system for the purpose of evaluating strategic prospects future Arctic routes. The problem can be regarded as multi criteria decision making with large uncertainties originating from multi-climate models and experts’ knowledge solved by modified A* algorithm where hesitant fuzzy set theory is incorporated. Compared to traditional algorithm, navigability firstly analyzed measure determine obstacle nodes three key factors vessel navigation including...

The navigability potential of the Northeast Passage has gradually emerged with melting Arctic sea ice. For purpose navigation safety in area, a reliable daily ice concentration ( SIC ) prediction result is required. As mature application deep learning technique short-term other fields (atmosphere, ocean, and hurricane, etc.), new model was proposed for by selecting multiple factors, adopting gradient loss function (Grad-loss) incorporating an improved predictive recurrent neural network...

This paper presents a new framework for economic analysis of marine transportation, where uncertainty is given more attention than in the current research. A quantitative method combined with importance ranking used to access evidence and fusion from multiple sources. The Bayesian network model chosen as tool convey one variable another variable. Finally, help information flow method, key factors are selected sensitivity analysis. applied case study maritime transportation Shanghai...

The evaluation of human environment risk is lacking quantitative data, while the qualitative knowledge cannot be easily quantified and synthesized. Furthermore, sometimes experts are not well acknowledged with whole indicator system or reach an agreement on comments. conventional methods competent to solve above aporia effectively. Thus quantization becomes a conundrum. compatibility cloud model theory can set up conversion between value, which provides technique approaches evaluating...