Assessment of Food Waste Resources Recycling in Composting Process Using Multivariate Statistical Methods
Journal Title: Invention Journal of Research Technology in Engineering & Management - Year 2019, Vol 3, Issue 6
Abstract
This study disseminated survey questionnaires, mostly to environmental protection-related personnel, public institutions, factories and units engaged in composting operations, and academic units and scholars endeavored in compost recycling to investigate the four most commonly used kitchen waste composting methods in Taiwan, and perform multivariate statistical analyses (i.e., factor analysis and cluster analysis) on the survey results to identify the characteristics, advantages, and disadvantages of the kitchen waste composting methods. The goal was to identify the major factors influencing the four composting methods and the relationships among these factors. The factor analysis showed two major factors of influence on the four composting methods, which were static composting factors and improved composting factors; the former exhibited stronger influence. The cluster analysis divided the four kitchen waste composting methods into four different groups, which successfully represented the differences among the kitchen waste composting methods currently employed in Taiwan. The analysis results revealed factors influencing current kitchen waste composting methods adopted in Taiwan which, combined with the multivariate statistical analyses on the questionnaire survey, can be used as reference for Taiwan’s environmental protection agencies to formulate more stringent composting regulations and for compost businesses to improve waste management in the future.
Authors and Affiliations
Shu-Lung Kuo
Keywords
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