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Kazuva E, Zhang J, Tong Z, Liu XP, Memon S, Mhache E. GIS- and MCD-based suitability assessment for optimized location of solid waste landfills in Dar es Salaam, Tanzania. Environ Sci Pollut Res Int 2021; 28:11259-11278. [PMID: 33111231 DOI: 10.1007/s11356-020-11213-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 10/11/2020] [Indexed: 06/11/2023]
Abstract
Despite recent advancements in waste management technologies, landfills remain the dominant approach for the final disposal of solid waste (SW) around the world. However, landfills are associated with adverse environmental and health-related impacts. This study is primarily applied to Dar es Salaam, a city in the East African region that has failed to follow appropriate approaches for site selection and that the methods used to select the current sites are manually operated. The study used a geographical information system (GIS) combined with multicriteria decision analysis (MCDA) to objectively determine the optimal landfill sites. A comprehensive list of assessment criteria was examined through a computerized site selection procedure based on GIS to analyze the ground that was surveyed and to remotely obtain data. Analytical hierarchy process (AHP)-one of the best MCDA approaches-was used to assign relative weight and evaluate each criterion. Finally, the study computed site suitability indices (SSIs), which aids in the identification of site suitability levels (SSLs) for the entire region. The final suitability map produced by overlaying the criteria map layers showed that a large part of the study area (60.92%) was completely unsuitable for landfill siting. The remaining areas consisted of land with varying suitability level, which were grouped into four classes: very low (30.92%), low (2.05%), moderate (5.65%), and high (0.46). To this end, only the high suitability class (0.46%) was of acceptable suitability levels (ASLs) (SSI ≥ 2.0). From the numerous identified sites with ASL, only three sites were suggested. Due to concerns regarding the lifespan and environment-related risks associated with these suggested sites, there is a need to further study new environmentally friendly techniques, considering the importance of circular economy agenda of waste to resource/energy for sustainable solid waste management.
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Affiliation(s)
- Emmanuel Kazuva
- Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun, 130024, China
- Department of Geography, Open University of Tanzania, 23409, Dar es Salaam, Tanzania
| | - Jiquan Zhang
- Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun, 130024, China.
- State Environmental Protection, Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun, 130117, China.
| | - Zhijun Tong
- Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun, 130024, China
- State Environmental Protection, Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun, 130117, China
- Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun, 130117, China
| | - Xing-Peng Liu
- Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun, 130024, China
- Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun, 130117, China
| | - Shumaila Memon
- State Environmental Protection, Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun, 130117, China
| | - Emmanuel Mhache
- Department of Geography, Open University of Tanzania, 23409, Dar es Salaam, Tanzania
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Kazuva E, Zhang J. Analyzing Municipal Solid Waste Treatment Scenarios in Rapidly Urbanizing Cities in Developing Countries: The Case of Dar es Salaam, Tanzania. Int J Environ Res Public Health 2019; 16:E2035. [PMID: 31181686 PMCID: PMC6604025 DOI: 10.3390/ijerph16112035] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 06/03/2019] [Accepted: 06/04/2019] [Indexed: 11/17/2022]
Abstract
Currently, large quantities of municipal solid waste (MSW) in many cities of the developing countries are being dumped in informal or formal but unregulated dumpsites that threaten the ecological environment and general public health. The situation in Dar es Salaam, Tanzania is of particular concern and is further challenged by a rapidly growing population and urbanization without adequate waste management systems. Current MSW treatment options have been selected based on the judgment and the experience of individuals with authority while underestimating the role of scientifically derived techniques. This study analyzes the most efficient waste treatment options, particularly scenarios with the lowest economic and environmental costs (EcC and EnC, respectively). It uses 12 years (2006-2017) of MSW management data and compares potential waste treatment options for the identified waste streams. A total of 108 different scenarios were designed, and a multi-criteria analysis method was applied to enable the identification of 11 scenarios with acceptable EcCs and EnCs. These formed an initial decision matrix of aggregation dominance that was then categorized into four groups, each represented by the most ideal point. Finally, the dominant scenario that formed the core for all considered options was found. It costs around $274,100 USD while saving about 1585 metric tons (MT) of CO2 emissions daily. This suggests that after all the MSW generated in the city is collected and segregated, organic waste should be composted whilst plastic, paper, glass, and ferrous metal should be recycled. After treatment, other waste will go to some form of landfill. Sustainable management of MSW in this city and others with similar conditions should consider particular local conditions and could use the methods and the findings of this study as a starting point.
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Affiliation(s)
- Emmanuel Kazuva
- School of Environment, Northeast Normal University, Jilin Province, Changchun 130024, China.
- Department of Geography, FASS, Open University of Tanzania, Dar es Salaam 23409, Tanzania.
| | - Jiquan Zhang
- School of Environment, Northeast Normal University, Jilin Province, Changchun 130024, China.
- Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China.
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Kazuva E, Zhang J, Tong Z, Si A, Na L. The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania. Int J Environ Res Public Health 2018; 15:ijerph15081692. [PMID: 30096829 PMCID: PMC6121523 DOI: 10.3390/ijerph15081692] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Revised: 07/31/2018] [Accepted: 08/02/2018] [Indexed: 11/30/2022]
Abstract
Environmental risk has become an area of major concern and research, drawing special attention. This study on the environmental risk assessment (ERA) of Dar es Salaam Municipal Solid Waste comes at a time when the Government of Tanzania is becoming increasingly concerned about dealing with high levels of pollution from municipal solid waste (MSW). The paper employed the Driving force-Pressure-State-Impact-Response (DPSIR) model to establish an environmental risk indicator system and the analytical hierarchy process (AHP) to calculate and analyze risk values, based on the actual situation of MSW in the city of Dar es Salaam. It lists several measures that have been taken in response to the current significantly high levels of pollution, which have assisted in maintaining the environmental risk index (ERI) at a medium level (0.4–0.6) during the period from 2006–2017. However, these measures have not been adequate enough to manage the external pressure. The ERI has been increasing gradually, calling for timely formulation of demand-specific waste management policies to reduce the possibility of reaching the critical point in near future. With the use of the DPSIR model for ERA, this study has become highly valuable, providing empirical justification to reduce environmental risk from MSW, which is one of the main sources of environmental pollution in the urban areas of developing countries.
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Affiliation(s)
- Emmanuel Kazuva
- School of Environment, Northeast Normal University, Changchun 130024, China.
- Department of Geography, Open University of Tanzania, Box 23409, Dar es Salaam, Tanzania.
| | - Jiquan Zhang
- School of Environment, Northeast Normal University, Changchun 130024, China.
- Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China.
| | - Zhijun Tong
- School of Environment, Northeast Normal University, Changchun 130024, China.
- GIS Laboratory, School of Environment, Northeast Normal University, Changchun 130024, China.
| | - Alu Si
- School of Environment, Northeast Normal University, Changchun 130024, China.
| | - Li Na
- School of Environment, Northeast Normal University, Changchun 130024, China.
- Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China.
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