scholarly journals Static modeling of dynamic recreation behavior: Implications for prediction and welfare estimation

2005 ◽  
Vol 50 (3) ◽  
pp. 617-636 ◽  
Author(s):  
Kenneth A. Baerenklau ◽  
Bill Provencher
Keyword(s):  
Static Modeling ◽  
Recreation Behavior

Complete Quasi-Static Modeling of 130nm RF MOSFETs

2006 ◽  
Author(s):  
Young Jung ◽  
In Kang ◽  
Hyungcheol Shin
Keyword(s):  
Static Modeling

Relationship between Visitors’ Sense of Place, Recreation Behavior, and Acceptability of Resource Allocation Strategies at a Reservoir Facing a Water Crisis

2022 ◽  
Author(s):  
Zack Darby ◽  
Neelam Chandra Poudyal ◽  
Adam Frakes ◽  
Omkar Joshi
Keyword(s):  
Sense Of Place ◽  
Water Conservation ◽  
Water Allocation ◽  
Water Conditions ◽  
Alternative Water ◽  
High Level ◽  
Recreation Behavior ◽  
Relationship Of ◽  
Visitor Survey ◽  
Allocation Strategies

Municipal drawdowns at public reservoirs can negatively impact recreational uses on site. Therefore, sustaining recreation requires understanding how users relate themselves with the reservoir and the resource therein, and how they will respond to circumstances and policies impacting the resource. Researchers use placedbased theory, particularly sense of place (SOP), to assess the user community’s perspective on the natural resource or recreation site of interest. This study utilized visitor survey data (n=282) from Canton Reservoir in Oklahoma to assess visitors’ sense of place (SOP), and to evaluate the relationship of SOP with their acceptability of alternative water allocation strategies and future intention of visiting the reservoir under depleted water conditions. Visitors had a high level of SOP with the reservoir and supported protective water allocation strategies that either favor the retention of water on-site or ensure a fair distribution between recreation and municipal use. Results suggest a positive relationship between visitors' SOP and their intended trips to the reservoir even under depleted water conditions. The findings highlight the psychological, functional, and emotional benefits associated with the recreational use of the Canton Reservoir, which will in turn help managers make more informed and balanced decisions about water conservation and allocation. Insights from this study will also contribute in literature on the sense of place and protective norms and offers several implications for the management of public reservoirs.

scholarly journals Design and Development of an e-Learning Project Management System: Modelling and Prototyping

2020 ◽  
Vol 15 (19) ◽  
pp. 95
Author(s):  
Maha Khaldi ◽  
Mohamed Erradi
Keyword(s):  
Project Management ◽  
Management System ◽  
System Modelling ◽  
Use Case ◽  
Design And Development ◽  
Activity Diagram ◽  
Project Management System ◽  
Static Modeling ◽  
E Learning ◽  
Use Case Diagram

In this work, based on the results obtained concerning the analysis and the needs of our project which concerns the design and development of an e-Learning project management system, we present the modeling stage with UML. Based on one hand, on two diagrams: class diagram and use case diagram, for static modeling and on the other hand, based on three diagrams: activity diagram, sequence diagram, diagram transition state for dynamic modeling. Finally, we offer examples of models for our project.

Structural (Static) Modeling

2002 ◽  
pp. 212-276
Author(s):  
Sinan Si Alhir
Keyword(s):  
Static Modeling

Dynamic to Static Modeling

Geophysics ◽  
2021 ◽  
pp. 1-43
Author(s):  
Javad Sharifi
Keyword(s):  
Reservoir Characterization ◽  
Triaxial Compression ◽  
Rock Physics ◽  
Regression Equations ◽  
Compression Tests ◽  
In Situ Tests ◽  
Factors Affecting ◽  
Static Modulus ◽  
Wide Range ◽  
Static Modeling

Dynamic-to-static modulus conversion has long been recognized as a complicated and challenging task in reservoir characterization and seismic geomechanics, and many single- and two-variable regression equations have been proposed. In practice however, the form and constants of the regression equation are variable from case to case. I introduce a methodology for estimating the static moduli called dynamic-to-static modeling (DTS). The methodology was validated by laboratory tests (ultrasonic and triaxial compression tests) to obtain dynamic and quasi-static bulk and Young’s (elasticity) moduli. Next, rock deformation phenomena were simulated considering different parameters affecting the process. The dynamic behavior was further modeled using rock physics methods. Unlike the conventional dynamic-to-static conversion procedures, the method considers a wide range of factors affecting the relationship between the dynamic and static moduli, including strain amplitude, dispersion, rock failure mechanism, pore shape, crack parameters, poromechanics, and upscaling. A comparison between the data from laboratory and in-situ tests and the estimation results indicated promising findings. The accuracy of the results was assessed by the analysis of variance (ANOVA). In addition to modeling the static moduli, DTS can be used to verify the static and dynamic moduli values with appropriate accuracy when core data is not available.

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