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2021 ◽  
pp. 15-24
Author(s):  
Tracy Floreani
Keyword(s):  

Urban Climate ◽  
2021 ◽  
Vol 40 ◽  
pp. 101008
Author(s):  
Jia-li Feng ◽  
Xiao-ming Cai ◽  
Lee Chapman ◽  
Qi-lin Wan ◽  
Xin Xia ◽  
...  

Author(s):  
Katrin Gaardbo Kuhn ◽  
Jane Jarshaw ◽  
Erin Jeffries ◽  
Kunle Adesigbin ◽  
Phil Maytubby ◽  
...  

Author(s):  
Min Hyung Lee ◽  
Josh Raitt ◽  
Barry A. Hong ◽  
Alexandra Diduck ◽  
Anna Marie Thi Thanh Nguyen ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  

Purpose The study of an energy company in the US was intended to explore how employees’ emotions after downsizing impacted their learning following the downsizing event. Design/methodology/approach The authors elected to study an energy company based in Oklahoma City that had experienced several downsizings over the previous 10 years. More recently, there had been a major restructuring on departments as a result of the downsizing. At the time of the study there were 400 employees. They carried out 30-60 minute semi-structured interviews with nine volunteers, all affected by layoffs. Five were impacted by the loss of a supervisor and all had faced the loss of a co-worker. Findings Three main themes emerged – firstly “resilience”, where they focused on getting back to work, secondly “loyalty”, where most participants spoke about their new-found appreciation for their job and willingness to help colleagues, and finally “moral support” in which they spoke about how the experience strengthened relationships with colleagues, and they came to rely on each other. Originality/value The authors said their study pointed the way forward for organizations that wanted to understand the emotional impact of downsizing, and its effect on learning. They suggested some practical methods to enhance empathy and rebuild relationships.


2021 ◽  
Author(s):  
Daniel Chung ◽  
Lynne Mooradian ◽  
Joshua Rhee ◽  
Michael Benson ◽  
Christopher J. Elkins ◽  
...  

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 889
Author(s):  
Hiromasa Nakayama ◽  
Tetsuya Takemi ◽  
Toshiya Yoshida

Contaminant gas dispersion within an urban area resulting from accidental or intentional release is of great concern to public health and social security. When estimating plume dispersion in a built-up urban area under real meteorological conditions by computational fluid dynamics (CFD), a crucial issue is how to prescribe the input conditions. There are typically two approaches: using the outputs of a mesoscale meteorological simulation (MMS) model and meteorological observations (OBS). However, the influences of the different approaches on the simulation results have not been fully demonstrated. In this study, we conducted large-eddy simulations (LESs) of plume dispersion in the urban central district of Oklahoma City under real meteorological conditions by coupling with a MMS model and OBS obtained at a single stationary point, and evaluated the two different coupling simulations in comparison with the field experiments. The LES–MMS coupling showed better performance than the LES–OBS one. The latter one also showed a reasonable performance comparable to the acceptance criteria on the model prediction within a factor of two of the experimental data. These facts indicate that the approach using observations at a single stationary point still has enough potential to drive CFD models for plume dispersion under real meteorological conditions.


2021 ◽  
Vol 40 (6) ◽  
pp. 404-407
Author(s):  
Brian Frehner

You might miss the monument sitting in front of the Belle Isle Library on the outskirts of Oklahoma City if driving by or walking hurriedly past. In the grass between the library and a sidewalk sits a five-foot-tall granite monument adorned with core samples and inscribed with words and images. If you study it, this is in part what you will read:


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