Building Case-based Greenhouse Gas Reduction Decision Support Model using Machine Learning

KIEAE Journal ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 39-46
Author(s):  
Sung Woo Lee ◽  
Sung Ho Tae
2007 ◽  
Vol 38 (2) ◽  
pp. 107-123 ◽  
Author(s):  
Miklas Scholz

Seventy-nine and 103 sites within Glasgow and Edinburgh, respectively, were identified to assess if best management practice (BMP) can be integrated into future development, regeneration and retrofitting plans. A practical BMP Decision Support Model based on a matrix and weighting system, incorporating the Prevalence Rating Approach for BMP Techniques (PRABT), has been developed. The findings indicate that ponds (or lined ponds) and permeable pavements are the most likely individual BMP techniques, and ponds combined with swales (or shallow swales) are the most recommended dual BMP combination. A separate case-based reasoning model compared to the ‘linear’ BMP Decision Support Model has also been developed. The output was similar to the ‘linear’ model.


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