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Title Assessment of food waste generation and composition among Korean households using novel sampling and statistical approaches
ID_Doc 12158
Authors Adelodun, B; Kim, SH; Choi, KS
Title Assessment of food waste generation and composition among Korean households using novel sampling and statistical approaches
Year 2021
Published
DOI 10.1016/j.wasman.2021.01.003
Abstract Food waste management in Korea has become increasingly important as the country continues to champion the transition into a circular economy among the OECD countries to achieve sustainable development target goals. However, reliable primary data on food waste quantity and composition to achieve its prevention and managementtargets by understanding food waste patterns among Korean households is poorly documented. This study investigates the quantity and composition of food waste generation rates among the sampled households by considering two important influencing factors of seasonality and housing types in the Buk-gu province of Daegu, South Korea. The food waste generation rates from three different housing types during four representative seasons were assessed, considering the availability of different food types at different seasons. The identified 46 food waste items from sampled data were statistically analyzed using the Kruskal-Wallis statistical test. The results showed that food waste generation rates were 0.88 +/- 0.37 kg/household/day (0.26 +/- 0.11 kg/capita/day), which varied seasonally. Significant seasonal variations (P 0.002) in food waste generated from the selected housing types were shown by K-W mean rank analysis. The food waste generation rate followed the seasonal order of summer autumn > winter > spring. The effect of housing type was also a pivotal factor affecting the food waste generation. This study adds to the ground-level insights of food waste generation trends in different seasons and housing types of Korea. (c) 2021 Elsevier Ltd. All rights reserved.
Author Keywords Household food waste; Food waste composition; Direct measurement; Food waste generation rate
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000617105300008
WoS Category Engineering, Environmental; Environmental Sciences
Research Area Engineering; Environmental Sciences & Ecology
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