Research in the cross-section of community psychology and global climate change: A call for action

2009 ◽  
Author(s):  
Marci Culley ◽  
Holly Angelique ◽  
Courte Voorhees ◽  
Brian John Bishop ◽  
Peta Louise Dzidic ◽  
...  
Keyword(s):  
Climate Change ◽  
Cross Section ◽  
Global Climate Change ◽  
Community Psychology ◽  
Global Climate ◽  
The Cross

The Method of Prediction Climatic Loads on the Building Enclosures

2019 ◽  
Vol 945 ◽  
pp. 845-856
Author(s):  
D.Y. Zheldakov
Keyword(s):  
Climate Change ◽  
Cross Section ◽  
Cross Sections ◽  
Global Climate Change ◽  
Global Climate ◽  
Outer Wall ◽  
Freezing And Thawing ◽  
The Cross ◽  
Number Of Cycles ◽  
The Impact

Based on the numerical solution of the differential equation that determines one-dimensional heat transfer under unstable conditions with constant coefficients, a method was developed to calculate the temperature distribution over the cross section of the enclosing structure. Based on the developed method, a method of determining the number of cycles of freezing and thawing of moisture in the cross sections of the outer wall of the building was calculated. This method was tested in the experiment on the exterior walls of operating buildings. The results showed good convergence of the real and calculated temperature values. The calculation of the number of cycles of freezing and thawing on the cross section of the outer wall of the building according to the developed methodology and the experiment showed the same results. The method of numerical assessment was developed to show the impact of global climate change on enclosed structures. The parameter of temperature load of enclosing structures was introduce. The method uses meteorological data of outdoor air temperature over the last 50 years and the results of calculation of temperature fluctuation of the enclosed structures. The use of this method allowed to calculate the number of cycles of freezing and thawing in cross sections of the outer wall at any given time period, and, therefore, more accurately predict the durability of enclosed structures. In addition, the developed technique allows quantitative comparison of different designs of external structures on the thermal load, taking into account global climate change.

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