2016
DOI: 10.1177/0734242x16678067
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Application of material flow analysis to municipal solid waste in Maputo City, Mozambique

Abstract: Understanding waste flows within an urban area is important for identifying the main problems and improvement opportunities for efficient waste management. Assessment tools such as material flow analysis (MFA), an extensively applied method in waste management studies, provide a structured and objective evaluating process to characterize the waste management system best, to identify its shortcomings and to propose suitable strategies. This paper presents the application of MFA to municipal solid waste manageme… Show more

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Cited by 33 publications
(11 citation statements)
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“…The quantitative uncertainty associated with each score can be determined based on the continuous function assumption suggested by Hedbrant and Sörme (2001). In their research, data uncertainty estimates are expressed in terms of coefficients of variations and are used to derive the effect of uncertainty on the model (Dos Muchangos et al, 2017; Laner et al, 2016). We follow the procedure suggested by Laner et al to calculate the total coefficient of variation C v t o t , as in equation (1):…”
Section: Methodsmentioning
confidence: 99%
“…The quantitative uncertainty associated with each score can be determined based on the continuous function assumption suggested by Hedbrant and Sörme (2001). In their research, data uncertainty estimates are expressed in terms of coefficients of variations and are used to derive the effect of uncertainty on the model (Dos Muchangos et al, 2017; Laner et al, 2016). We follow the procedure suggested by Laner et al to calculate the total coefficient of variation C v t o t , as in equation (1):…”
Section: Methodsmentioning
confidence: 99%
“…The WFA has been applied as a useful tool for understanding main flows of the material within the specific area (Jacob et al, 2014; dos Muchangos et al, 2017). Moreover, this tool is also required for the application of the WBI.…”
Section: Study Methodologymentioning
confidence: 99%
“…, n to differentiate between water user types. The total water use is based on the multiplication of a parameter, γ, denoting water consumption in liters per capita for a socio-economic group, with the number of people P in a socio-economic group, resulting in Equation (6). It was further assumed that local losses occurred at a rate of δ at household sites resulting in Equation 7, converting centrally distributed piped water I 3,1 into water losses O 3,1 .…”
Section: Domestic Water Usementioning
confidence: 99%
“…The method was sequential association, resulting in 30 groups per district, based on the ranking of private pipe access > public tap/stand pipe > protected spring or well or rainfall > tanker/vendor supply > unprotected spring or well or waterbodies in relation to income categories. Subsequently, groups with piped water access were split into rationed and continuous supply using supply rationing proportions (Supplementary Material C) to obtain the population P m per socio-economic group values for Equation (6).…”
Section: Potable Water Use and Local Sourcingmentioning
confidence: 99%