A Case Study on MJO Energy Transport Path in a Local Multi-scale Interaction Framework

2021 ◽  
Vol 38 (11) ◽  
pp. 1929-1944
Author(s):  
Yuanwen Zhang ◽  
Guiwan Chen ◽  
Jian Ling ◽  
Shenming Fu ◽  
Chongyin Li
Keyword(s):  
Energy Transport ◽  
Scale Interaction ◽  
Multi Scale ◽  
Transport Path

Multi-scale interaction of pedestal instabilities in H-mode plasma on the EAST tokamak

2019 ◽  
Vol 59 (5) ◽  
pp. 056020 ◽  
Author(s):  
T. Zhang ◽  
K.N. Geng ◽  
H.Q. Liu ◽  
Y. Liu ◽  
T.H. Shi ◽  
...  
Keyword(s):  
Scale Interaction ◽  
Multi Scale

scholarly journals Improved Process Monitoring Scheme Using Multi-Scale Independent Component Analysis

2021 ◽  
Author(s):  
K Ramakrishna Kini ◽  
Muddu Madakyaru
Keyword(s):  
Fault Detection ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Noisy Environment ◽  
Process Data ◽  
Multi Scale ◽  
Efficient Information ◽  
Non Gaussian

AbstractThe task of fault detection is crucial in modern chemical industries for improved product quality and process safety. In this regard, data-driven fault detection (FD) strategy based on independent component analysis (ICA) has gained attention since it improves monitoring by capturing non-gaussian features in the process data. However, presence of measurement noise in the process data degrades performance of the FD strategy since the noise masks important information. To enhance the monitoring under noisy environment, wavelet-based multi-scale filtering is integrated with the ICA model to yield a novel multi-scale Independent component analysis (MSICA) FD strategy. One of the challenges in multi-scale ICA modeling is to choose the optimum decomposition depth. A novel scheme based on ICA model parameter estimation at each depth is proposed in this paper to achieve this. The effectiveness of the proposed MSICA-based FD strategy is illustrated through three case studies, namely: dynamic multi-variate process, quadruple tank process and distillation column process. In each case study, the performance of the MSICA FD strategy is assessed for different noise levels by comparing it with the conventional FD strategies. The results indicate that the proposed MSICA FD strategy can enhance performance for higher levels of noise in the data since multi-scale wavelet-based filtering is able to de-noise and capture efficient information from noisy process data.

Multi-scale flooding hazards evaluation using a nested flood simulation model: Case study of Jamuna River, Bangladesh

2021 ◽  
pp. 1-38
Author(s):  
Masakazu Hashimoto ◽  
Kenji Kawaike ◽  
Tomonori Deguchi ◽  
Shammi Haque ◽  
Arpan Paul ◽  
...  
Keyword(s):  
Simulation Model ◽  
Model Case ◽  
Flood Simulation ◽  
Multi Scale ◽  
Flooding Hazards

scholarly journals Macroscopic and Multi-Scale Models for Multi-Class Vehicular Dynamics with Uneven Space Occupancy: A Case Study

Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 102
Author(s):  
Maya Briani ◽  
Emiliano Cristiani ◽  
Paolo Ranut
Keyword(s):  
Road Network ◽  
Real Data ◽  
Second Order ◽  
Heavy Vehicles ◽  
First Order ◽  
Multi Scale ◽  
Stop And Go ◽  
Scale Models ◽  
Road Space

In this paper, we propose two models describing the dynamics of heavy and light vehicles on a road network, taking into account the interactions between the two classes. The models are tailored for two-lane highways where heavy vehicles cannot overtake. This means that heavy vehicles cannot saturate the whole road space, while light vehicles can. In these conditions, the creeping phenomenon can appear, i.e., one class of vehicles can proceed even if the other class has reached the maximal density. The first model we propose couples two first-order macroscopic LWR models, while the second model couples a second-order microscopic follow-the-leader model with a first-order macroscopic LWR model. Numerical results show that both models are able to catch some second-order (inertial) phenomena such as stop and go waves. Models are calibrated by means of real data measured by fixed sensors placed along the A4 Italian highway Trieste–Venice and its branches, provided by Autovie Venete S.p.A.

Multi-scale assessments of droughts: A case study in Xinjiang, China

2018 ◽  
Vol 630 ◽  
pp. 444-452 ◽  
Author(s):  
Junqiang Yao ◽  
Yong Zhao ◽  
Yaning Chen ◽  
Xiaojing Yu ◽  
Ruibo Zhang
Keyword(s):  
Multi Scale

scholarly journals TRANSARCTIC PERSPECTIVES OF IBERO-AMERICA

2020 ◽  
Vol 6 (4(73)) ◽  
pp. 36-39
Author(s):  
E.O. Labeckaya
Keyword(s):  
Russian Federation ◽  
Energy Transport ◽  
The Arctic ◽  
Global Competition ◽  
Arctic Zone ◽  
Case Study Method ◽  
The Russian Federation ◽  
Transnational Space

Through the concept of transnational space and “case-study” method, the prospects for the involvement of Ibero-America in the virtual Trans-Arctic, which is turning into a geoeconomic and geopolitical "bond" of two neighboring spaces – Trans-Atlantic and Trans-Pacific – are considered. The strengthening of Iberoamerican states’ presence in the Trans-Arctic will be a factor in increasing their ratings in the global hierarchy, will provide them with new geopolitical advantages for global competition, will strengthen comprehensive security (economic, environmental, energy, transport and logistics, food, water). In the context of the Arctic interests of Ibero-America, special attention is paid to options for possible "win-win" cooperation in the Arctic zone of the Russian Federation, including taking into account the potential of BRICS and its "outreach" and "BRICS +" platforms. Highlighted fundamental legal differences between Trans-Arctic and Antarctic. The Arctic prospects of Brazil as a channel for the realization of the circumpolar interests of the Iberoamerican states are emphasized

scholarly journals Extending the Shared Socioeconomic Pathways at the City Scale to Inform Future Vulnerability Assessments — The Case of Boston, Massachusetts

2019 ◽  
Vol 06 (03n04) ◽  
pp. 2050009
Author(s):  
Jayne Lino ◽  
Guillaume Rohat ◽  
Paul Kirshen ◽  
Hy Dao
Keyword(s):  
Climate Change ◽  
Global Scale ◽  
Research Field ◽  
Climate Change Research ◽  
Multi Scale ◽  
Vulnerability Assessments ◽  
Neighborhood Scale ◽  
The City ◽  
Neighborhood Level

Climate change will impact cities’ infrastructure and urban dwellers, who often show differentiated capacity to cope with climate-related hazards. The Shared Socioeconomic Pathways (SSPs) are part of an emerging research field which uses global socioeconomic and climate scenarios, developed by the climate change research community, to explore how different socioeconomic pathways will influence future society’s ability to cope with climate change. While the SSPs have been extensively used at the global scale, their use at the local and urban scale has remained rare, as they first need to be contextualized and extended for the particular place of interest. In this study, we present and apply a method to develop multi-scale extended SSPs at the city and neighborhood scale. Using Boston, Massachusetts, as a case study, we combined scenario matching, experts’ elicitation, and participatory processes to contextualize and make the global SSPs relevant at the urban scale. We subsequently employed the extended SSPs to explore future neighborhood-level vulnerability to extreme heat under multiple plausible socioeconomic trajectories, highlighting the usefulness of extended SSPs in informing future vulnerability assessments. The large differences in outcomes hint at the enormous potential of risk reduction that social and urban planning policies could trigger in the next decades.

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