Municipal solid waste composition: Sampling methodology, statistical analyses, and case study evaluation

Edjabou, Maklawe Essonanawe; Jensen, Morten Bang; Götze, Ramona; Pivnenko, Kostyantyn; Petersen, Claus; Scheutz, Charlotte; Astrup, Thomas Fruergaard

doi:10.1016/j.wasman.2014.11.009

Cited by 246 publications

(134 citation statements)

References 37 publications

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“…The primary step is to understand how much and what kind of waste is generated in order to decide the most effective strategy for its management (Adeniran, Nubi, & Adelopo, 2017;Aleluia & Ferrão, 2016;Armijo de Vega, Ojeda Benítez, & Ramírez Barreto, 2008;Edjabou et al, 2015;Gallardo, Edo-Alcón, Carlos, & Renau, 2016;Khan, Kumar, & Samadder, 2016;Miezah, Obiri-Danso, Kádár, Fei-Baffoe, & Mensah, 2015;Trang, Dong, Toan, Hanh, & Thu, 2017). This study attempted to make a move in this direction by analyzing generation and composition of household (HH) waste in Gorkha municipality.…”

Section: Introductionmentioning

confidence: 99%

Household Waste Generating Factors and Composition Study for Effective Management in Gorkha Municipality of Nepal

Maskey¹,

Singh²

2017

JSD

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Municipal solid waste is a growing concern in cities of developing countries and households are the main contributor. Lack of reliable data sources remain one of the major drawbacks for deciding on effective waste management option. The study area Gorkha municipality is selected because it is one of the highly under-researched and least resource intensive municipalities in Nepal. However, continued growth in municipal waste if left unattended will only intensify the problem and thus demands proactive action. Therefore, the objective of this study is to analyze waste composition and to evaluate the socioeconomic factors impacting household waste generation for effective management. Using stratified sampling method, 401 households were selected from all 15 municipal wards. Socioeconomic factors impacting household waste generation were assessed using Ordinary Least Square regression model. The rate of household waste generation in Gorkha municipality is found to be 0.24 kg/capita/day and estimated total household waste generation of 9.4 tonnes/day. Household size and income are found to have positive impact on waste generation, both statistically significant at 1% and thus can be important indicators to forecast solid waste generation trend. Household waste composition was 47.25% organic waste, 37.52% recyclable waste that comprised of 10.38% paper and paper products, 9.88% glass, 6.92% metal, 5.39% plastic, 3.57% textile and 1.38% rubber and leather, and rest 15.23% other waste. Organic waste has the highest share and if not managed properly, creates serious health and environmental hazards. It could be managed efficiently by composting at household and local government level.

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Section: Introductionmentioning

confidence: 99%

Household Waste Generating Factors and Composition Study for Effective Management in Gorkha Municipality of Nepal

Maskey¹,

Singh²

2017

JSD

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“…Edjabou et al [33] included two new factors: vegetable/ animal-derived food waste and avoidable-processed/ avoidable-unprocessed food waste. A more explicit classification with sub-categories was also suggested by Lebersorger and Schneider [20].…”

Section: Review On Methods To Classify Food Wastementioning

confidence: 99%

A Methodology for Sustainable Management of Food Waste

García-García

Woolley

Rahimifard

et al. 2016

Waste Biomass Valor

160

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As much as one-third of the food intentionally grown for human consumption is never consumed and is therefore wasted, with significant environmental, social and economic ramifications. An increasing number of publications in this area currently consider different aspects of this critical issue, and generally focus on proactive approaches to reduce food waste, or reactive solutions for more efficient waste management. In this context, this paper takes a holistic approach with the aim of achieving a better understanding of the different types of food waste, and using this knowledge to support informed decisions for more sustainable management of food waste. With this aim, existing food waste categorizations are reviewed and their usefulness are analysed. A systematic methodology to identify types of food waste through a nine-stage categorization is used in conjunction with a version of the waste hierarchy applied to food products. For each type of food waste characterized, a set of waste management alternatives are suggested in order to minimize environmental impacts and maximize social and economic benefits. This decision-support process is demonstrated for two case studies from the UK food manufacturing sector. As a result, types of food waste which could be managed in a more sustainable manner are identified and recommendations are given. The applicability of the categorisation process for industrial food waste management is discussed.

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“…Studies typically included a weight-based assessment of FLW and in some cases included diary studies or surveys. For other studies the focus was on estimating the composition of the overall waste stream of which FLW was a component (Defra, 2010;Edjabou et al, 2015;Matsuto and Ham, 1990). The challenge with the direct measurement of FLW is the ability to extrapolate the resultant data.…”

Section: 122mentioning

confidence: 99%

A systematic review of food losses and food waste generation in developed countries

Werf

Gilliland

2017

Proceedings of the Institution of Civil Engineers - Waste and R

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2The objective of this systematic literature review was to compile and assess food losses and waste estimates, from developed countries, across the food supply chain. The methodology involved systematically identifying studies and extracting, compiling and analysing their estimates of food losses and waste. Of the 55 estimates extracted, from these studies, the most (43·6%) were from the consumption (average 114·3 (kg/capita)/year) part of the food supply chain. On average, total food losses and waste were 198·9 (kg/capita)/year. While this review revealed a high degree of variability of estimates and inconsistent trends for the independent variables: scope of food waste, geography and study methodologies; food waste generation, at the consumption part of the food supply chain, was significantly higher for North American compared with European estimates ( p = 0·003); and significantly higher ( p = 0·030) for indirect than direct estimates. Similarly, total food waste generation indirect estimates were significantly higher ( p = 0·035) than directly measured estimates. To improve the accuracy and precision of food losses and waste estimates, additional research is required to develop and implement a bespoke, weight-based and statistically sound methodology for its direct measurement.

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Municipal solid waste composition: Sampling methodology, statistical analyses, and case study evaluation

Cited by 246 publications

References 37 publications

Household Waste Generating Factors and Composition Study for Effective Management in Gorkha Municipality of Nepal

Household Waste Generating Factors and Composition Study for Effective Management in Gorkha Municipality of Nepal

A Methodology for Sustainable Management of Food Waste

A systematic review of food losses and food waste generation in developed countries

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