Municipal solid waste management in Tehran: Changes during the last 5 years

Malmir, Tahereh; Tojo, Yasumasa

doi:10.1177/0734242x16632056

Cited by 24 publications

(5 citation statements)

References 7 publications

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“…According to surveys of residents’ willingness to classify waste, Liu et al [ 18 ], Malmir et al [ 19 ], Wan et al [ 20 ] and Kirakozian [ 21 ] showed that waste-classification infrastructure will have an impact on residents’ willingness to participate in household waste classification, and its high quality, including convenience, is positively correlated with residents’ enthusiasm for participating in waste classification. Zhang et al [ 22 ] reported that low-quality waste-collection facilities will significantly reduce residents’ willingness to classify garbage when studying the current situation of the garbage sorting and recycling system in Chengdu.…”

Section: Research Hypothesismentioning

confidence: 99%

Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai

Tang

Shi

Huang

et al. 2022

IJERPH

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As the process of urbanization in China continues to accelerate, the amount of domestic waste generated correspondingly increases and directly affects the living space of residents. This indirectly implies that to reduce the production of municipal solid waste and the need for garbage disposal and recycling, household-waste-classification activities by the residents are of great significance. Using Shanghai as a case study, this study investigated the influencing factors on residents’ household waste classification by conducting a survey. Statistical analysis was then adopted, which is specified below. First, this study proposed research hypotheses related to the influencing factors of residents’ domestic-waste-sorting behavior from three levels: government, society and individuals. Second, the study designed a questionnaire from five perspectives: individual characteristic variables, government, society, residents and classification behavior. Then, SPSS software was used to carry out descriptive statistical, reliability and validity assessments using ANOVA, correlation and regression analyses on the sample data obtained from the questionnaire. The results suggested that the research hypotheses were statistically significant: (1) females and residents with higher education were more likely to participate in domestic waste classification; (2) reward and punishment measures had the most significant impact on residents’ waste-classification behavior; and (3) publicity and education, classification standards, classification facilities, the recycling system, subjective norms, environmental knowledge and environmental attitudes all had a positive effect on residents’ household waste classification. Finally, based on the results of the empirical analysis, this paper provides reference suggestions for the further development of domestic waste classification in Shanghai.

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Section: Research Hypothesismentioning

confidence: 99%

Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai

Tang

Shi

Huang

et al. 2022

IJERPH

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“…The collection and the disposal of RMSW are frequently unmanaged and unregulated in low-and middle-income nations [17,18]. Inadequate RMSW disposal or the lack of their management might lead to significant environmental issues posing adverse public health effects [7,18] and pollution problems in both developed and developing countries [19][20][21]. In many countries, waste offers a largely untapped supply of raw materials because resource recovery rates are still relatively low, despite the fact that recoverable materials make up the majority of the waste stream [18,22].…”

Section: Introductionmentioning

confidence: 99%

Determination of Residual Municipal Solid Waste Composition from Rural and Urban Areas: A Step toward the Optimization of a Waste Management System for Efficient Material Recovery

Triassi,

De Simone,

Montuori

et al. 2023

Sustainability

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Residual municipal solid waste (RMSW) is a rapidly expanding problem worldwide and a good waste management system could reduce concerns about its correct treatment. The purpose of this study was to characterize RMSW from urban and rural areas with the ultimate goal of estimating the recycling potential of the identified fractions and implementing waste collection and recovery methods according to the type of area that generates them. A direct sampling campaign of RMSW was performed. The results showed that the highest organic waste rate was found in the rural area (11.9%); urban-area-produced RMSW mainly constituted recyclable fractions such as plastic (26.3%), paper (21.8%), glass (3.5%) and metals (3.3%). The physical-chemical characteristics of RMSW showed levels of heavy metals below the detection threshold. The conditions necessary for composting could be met only for the organic fraction coming from rural areas as demonstrated by a pH value of 6.9 and a moisture content of 46.5%. These data will be extended to all the urban and rural areas to design appropriate disposal and/or recovery plants with profitable economic interventions that will lead to a reduction in costs in the planning of the integrated solid waste management.

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“…However, for the parameter fits, only four categories were considered: 1) food waste, 2) yard waste, 3) paper, and 4) wood. The reason is to decrease the optimization variables and take into account the study by (T. Malmir et al, 2016) that categorized the biodegradable OW into different types: easily (e.g., food waste), slowly (e.g., paper), and hardly (e.g., wood, textiles, and leather) biodegradable wastes. 𝑘 𝐶𝐻 4 is the biodegradation half-life in years -1 for OW in a landfill and, based on the U.S. EPA, can range between 0.02 y -1 (less than 635 mm of precipitation) and 0.04 y -1 (more than 635 mm of precipitation) (Thompson et al, 2009).…”

Section: Ch 4 Modelingmentioning

confidence: 99%

Optimization of landfill gas generation based on a modified first-order decay model: A case study in Quebec province

Malmir

Lagos

Eicker

2023

Preprint

Self Cite

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Landfills will likely remain an essential part of integrated solid waste management systems in many developed and developing countries for the foreseeable future. This paper uses a genetic algorithm to fit parameters to a CH4 and H2S generation model independently based on a modified first-order decay model. In the case of CH4 generation modeling, biodegradable organic waste (OW) was segregated into food waste, yard waste, paper, and wood. In addition to optimizing the OW fractions, key modeling parameters of OW, such as CH4 generation potential (\({L}_{0}\)) and CH4 decay rate (\({k}_{C{H}_{4}}\)), were determined independently for different periods in the life of the landfill. Similarly, in the case of H2S generation modeling, the construction and demolition waste (CD) was classified into fines (FCD) and bulky materials (BCD), and H2S generation potential (\({S}_{0}\)) and H2S decay rate (\({k}_{{H}_{2}S}\)) of FCD and BCD were determined. Landfill gas (LFG) collection data from a site in Quebec province (Canada) was used to validate the LFG generation model. A range of scenarios was analyzed using the validated model, including twelve scenarios for CH4 and two for H2S modeling, respectively. The results showed that the differentiation of more waste types improves the modeling accuracy for CH4. Moreover, within the decade-long lifetime of a landfill, the waste management strategies change, requiring different assumptions for the modeling. Also, the work showed the importance of considering how different sectors of a landfill are filled over time. Finally, scenario twelve, which assumed four waste types, constant three periodic waste fractions, and six sectors, had the lowest residual sum of squares (RSS) value. For H2S generation modeling, both scenarios, with or without separate fits of \({S}_{0}\) and \({k}_{{H}_{2}S}\) for FCD and BCD, predicted the generated H2S well and had a very similar RSS value. Further data could improve H2S generation modeling.

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Municipal solid waste management in Tehran: Changes during the last 5 years

Cited by 24 publications

References 7 publications

Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai

Influencing Factors on the Household-Waste-Classification Behavior of Urban Residents: A Case Study in Shanghai

Determination of Residual Municipal Solid Waste Composition from Rural and Urban Areas: A Step toward the Optimization of a Waste Management System for Efficient Material Recovery

Optimization of landfill gas generation based on a modified first-order decay model: A case study in Quebec province

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