scholarly journals MULTI-DIMENSIONAL ERROR ANALYSIS OF NEARSHORE WAVE MODELING TOOLS, WITH APPLICATION TOWARD DATA-DRIVEN BOUNDARY CORRECTION

2011 ◽  
Vol 1 (32) ◽  
pp. 67
Author(s):  
Boyang Jiang ◽  
James Kaihatu

As the forecasting models become more sophisticated in their physics and possible depictions of the nearshore hydrodynamics, they also become increasingly sensitive to errors in the inputs, such as errors in the specification of boundary information (lateral boundary conditions, initial boundary conditions, etc). Evaluation of the errors on the boundary is less straightforward, and is the subject of this study. The model under investigation herein is the Delft3D modeling suite, developed at Deltares (formerly Delft Hydraulics) in Delft, the Netherlands. Coupling of the wave (SWAN) and hydrodynamic (FLOW) model requires care at the lateral boundaries in order to balance run time and error growth. To this extent, we will use perturbation method and spatio-temporal analysis method such as Empirical Orthogonal Function (EOF) analysis to determine the various scales of motion in the flow field and the extent of their response to imposed boundary errors.

2021 ◽  
Vol 10 (5) ◽  
pp. 312
Author(s):  
Jing Cui ◽  
Yanrong Liu ◽  
Junling Sun ◽  
Di Hu ◽  
Handong He

Based on the significant hotspots analysis method (Getis-Ord Gi* significance statistics), space-time cube model (STC) and the Mann–Kendall trend test method, this paper proposes a G-STC-M spatio-temporal analysis method based on Archaeological Sites. This method can integrate spatio-temporal data variable analysis and the space-time cube model to explore the spatio-temporal distribution of Archaeological Sites. The G-STC-M method was used to conduct time slice analysis on the data of Archaeological Sites in the study area, and the spatio-temporal variation characteristics of Archaeological Sites in East China from the Tang Dynasty to the Qing Dynasty were discussed. The distribution of Archaeological Sites has temporal hotspots and spatial hotspots. Temporally, the distribution of Archaeological Sites showed a gradual increasing trend, and the number of Archaeological Sites reached the maximum in the Qing Dynasty. Spatially, the hotspots of Archaeological Sites are mainly distributed in Jiangsu (30°~33° N, 118°~121° E) and Anhui (29°~31° N, 117°~119° E) and the central region of Zhejiang (28°~31° N, 118°~121° E). Temporally and spatially, the distribution of Archaeological Sites is mainly centered in Shanghai (30°~32° N, 121°~122° E), spreading to the southern region.


2020 ◽  
Vol 9 (6) ◽  
pp. 18-26

Mustapha AKOULet al., International Journal of Networks and Systems, 9(6), October–November2020, 18-2618Attempt to model accompanying postures in training:Spatio-temporal analysisMustapha AKOUL1, Saïd LOTFI2, Mohamed RADID31Normal Superior School (ENS); Observatory of Research in Didactics and University Pedagogy (ORDPU), Faculty of Science of Ben M'sik, Hassan II University of Casablanca,BP 50069, Ghandi, Morocco. [email protected] in Multidisciplinary Loboratory in Educations Sciences and Training Ingeneering. Assessment in Physical Activity and Sport (REAPS), Normal Superior School (ENS), Hassan II University of Casablanca, BP 50069, Ghandi, Morocco. [email protected] in the laboratory of chemistry of materials in Ben M’sik Faculty; Hassan II Casablanca University; Morocco. [email protected] is an exploratory qualitative study. It is based on a selection of scientific articles published in recognized journals. It is also carried out through search engines (Google scholar/Hal.archivesouvertes.fr/Search.openedition.org, etc.), addressing the theme of support in general and particularly in the educational and training environment.This exploratory activity of textual data, allowed us to gather the articles and to structure them in a corpus of data. The latter generate a coherent body of knowledge on the subject of educational support and training.This textual material allowed us toidentify four analyzers and finally emerge four different postures on all of our decryptions on this subject. This is, at the outset, the time allotted to accompaniment by moving from permanent to periodical. The accompaniment, therefore, is analyzed on atemporal register: from permanent to occasional. Second, it will be the space where the exchanges between the person accompanied and the accompanist will take place:from a close distance or proximity to a remote space where the exchanges take place remotely.The purpose of this article is to sketch a modelling of qualitative genesis through four accompanying postures in the field of training and education:Posture (P1): proximity -permanent; Posture (P2): remote -permanent; Posture (P3): proximity -periodical;Posture (P4): remote -periodic.It is an exploration aimed at exploring a set of characteristics specific to each of the four postures found. The study also aims to clarify the specificities of these postures, the typical tools to their exercises, the expected effects and the conditions of their applications and finally, the limits of their adoptions in the different contexts. This modelling of the accompanying postures aims at a necessary step back in the involvement in any such devices. The continuum that we have proposed (Figure 2), is intended to be progressive and obedient to an evolutionary dynamic ranging from the most watchful posture on the person accompanied (P1), to the most empowering one for him (P4)


Author(s):  
Yu-ting Bai ◽  
Xue-bo Jin ◽  
Xiao-yi Wang ◽  
Xiao-kai Wang ◽  
Ji-ping Xu

Pollutant analysis and pollution source tracing are critical issues in air quality management, in which correlation analysis is important for pollutant relation modeling. A dynamic correlation analysis method was proposed to meet the real-time requirement in atmospheric management. Firstly, the spatio-temporal analysis framework was designed, in which the process of data monitoring, correlation calculation, and result presentation were defined. Secondly, the core correlation calculation method was improved with an adaptive data truncation and grey relational analysis. Thirdly, based on the general framework and correlation calculation, the whole algorithm was proposed for various analysis tasks in time and space, providing the data basis for ranking and decision on pollutant effects. Finally, experiments were conducted with the practical data monitored in an industrial park of Hebei Province, China. The different pollutants in multiple monitoring stations were analyzed crosswise. The dynamic features of the results were obtained to present the variational correlation degrees from the proposed and contrast methods. The results proved that the proposed dynamic correlation analysis could quickly acquire atmospheric pollution information. Moreover, it can help to deduce the influence relation of pollutants in multiple locations.


Author(s):  
Wiwik Setyaningsih ◽  

ABSTRACT Background: In recent decades, the incidence of dengue hemorrhagic fever (DHF) has risen significantly around the world. In Indonesia, studies reported 77.96 cases per 100,000 person-years in 2016 with the highest average number of cases in West Java. This study aimed to investigate the spatio-temporal analysis on endemicity of dengue hemorrhagic fever in Sragen Regency, Central Java. Subjects and Method: This was a descriptive study with cross-sectional design conducted in Sragen, Central Java from 2016 to 2018. A total of 1,354 cases was selected by total sampling. The main variable under study was the DHF incidence. The data were described by frequency distribution tables. Data were analyzed by spatio-temporal analysis method with overlay function using Geographic Information System (GIS). Results: The spatio-temporal analysis showed an increased DHF incidence in all sub-districts in Sragen Regency for three consecutive years 2016 to 2018. The highest incidence was 94 cases per 100,000 population in 2016. Sragen Regency was considered endemic areas of DHF. Conclusion: All sub-districts in Sragen Regency were endemic areas of DHF from 2016 to 2018. Keywords: spatio-temporal analysis, GIS, DHF, endemic Correspondence: Wiwik Setyaningsih. School of Health Polytechnics, Ministry of Health, Surakarta. Jl. Letjen. Sutoyo, Mojosongo, Surakarta, Central Java. Email: [email protected]. Mobile: +628122593472. DOI: https://doi.org/10.26911/the7thicph.01.33


2009 ◽  
Vol 129 (10) ◽  
pp. 1778-1784
Author(s):  
Yasuaki Uehara ◽  
Keita Tanaka ◽  
Yoshinori Uchikawa ◽  
Bong-Soo Kim

Author(s):  
Shakirbai G. Kasimov ◽  
◽  
Mahkambek M. Babaev ◽  
◽  

The paper studies a problem with initial functions and boundary conditions for partial differential partial equations of fractional order in partial derivatives with a delayed time argument, with degree Laplace operators with spatial variables and nonlocal boundary conditions in Sobolev classes. The solution of the initial boundary-value problem is constructed as the series’ sum in the eigenfunction system of the multidimensional spectral problem. The eigenvalues are found for the spectral problem and the corresponding system of eigenfunctions is constructed. It is shown that the system of eigenfunctions is complete and forms a Riesz basis in the Sobolev subspace. Based on the completeness of the eigenfunctions system the uniqueness theorem for solving the problem is proved. In the Sobolev subspaces the existence of a regular solution to the stated initial-boundary problem is proved.


Author(s):  
Aida Khakimova ◽  
Oleg Zolotarev ◽  
Lyudmila Sharapova ◽  
Daler Mirzoev ◽  
Aleksanra Belaya ◽  
...  

The image of the city is a spatio-temporal continuum in which everything is interconnected, it exists as a single monolith expressing itself in the general atmosphere. The visual image of the city may contain two planes of meanings: culturally ratified and universally valid, expressed by cultural codes, and also significant only to those who are viewing the image. Therefore, the content of the visual image depends on who the subject of perception is, what he pays attention to and in what situation the process of perception of the image occurs.


2010 ◽  
Vol 17 (4) ◽  
pp. 770-775
Author(s):  
Ren YANG ◽  
Zhi-Yuan REN ◽  
Qian XU ◽  
Mei-Xia WANG

Sign in / Sign up

Export Citation Format

Share Document