Hello, so I am trying to understand how to calculate the cooling interaction between nearby urban green spaces within the context of urban heat island mitigation, and I have been unable to find sufficient literature on this specific subject. Many studies have drawn cooling extent buffers around urban green spaces through GIS and remote sensing, but I have not found sufficient literature on just how the cooling influence/impact/effect would be calculated in the region where buffers from nearby green spaces overlap. How does the cooling between two (or three or more) nearby green spaces blend together? Would the cooling effect in the overlap region be the average of both green spaces? I would think this would not make sense, since this would mean receiving a cooling effect value that is less than the highest value, and it would seem that adding more cooling would not lead to less cooling. Would I then just add the cooling effects of both green spaces? I wanted to ask if anyone in this community might have any insight on just how the cooling effect within the buffer overlap region between two nearby green spaces might be calculated. Is there a simple formula for this?
I have looked to this paper "Calculating cooling extents of green parks using remote sensing: Method and test" by Lin et al. (2015):
Article Calculating cooling extents of green parks using remote sens...
This details the need to consider the cooling interaction effect between nearby green spaces.
Also, I have looked to this this paper "Estimating the Cooling Effect of Pocket Green Space in High Density Urban Areas in Shanghai, China" by Wu et al. (2021):
https://www.frontiersin.org/articles/10.3389/fenvs.2021.657969/full
This paper shows how cooling between overlapping buffers would be calculated as a sort-of distance-weighted average, which I am still unsure about.
I would really appreciate hearing anyone's thoughts on how this calculation can be carried out!
Thanks!
Dear Lino Sanchez
I would like to suggest you using Python. Use summation equations and link them with both lapping (overlapping) and non lapping (non overlapping) areas.
Hope that helps!
Dear Lino Sanchez , we call this the "garden effect". This effect has been included in the UCAM-method. See following publication: Article An Urban Climate Assessment and Management tool for combined...
And the final report (in Dutch): https://ruimtelijkeadaptatie.nl/publish/pages/114614/ucam_eindrapport.pdf
Dear All,
As could say: all roads lead to Nashville. The problem is that there is usually no series of meteorological measurements for green areas. As they are, there are no measurements made in the immediate vicinity. That is why we eagerly reach for thermal photos. In this case, many methods of interpretation are known. The problem, however, is that obtaining an averaged evaluation of the temperature distribution requires mass analyzes. This also does not mean success, because the assessment of the impact of greenery requires the reference of the moment of taking the photo to the areosanitsar conditions prevailing at the moment, if we want to think about determining the impact of separated green areas. The key may be the selection of photos corresponding to the characteristic meteorological and areosanitary situations. Here, perhaps, it is worth using the experience in modeling the heat island phenomenon in cities.
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