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The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania

Author

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  • 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)

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.

Suggested Citation

  • Emmanuel Kazuva & Jiquan Zhang & Zhijun Tong & Alu Si & Li Na, 2018. "The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania," IJERPH, MDPI, vol. 15(8), pages 1-30, August.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1692-:d:162659
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    Cited by:

    1. Khadija Al-Omran & Asma Abahussain & Ezzat Khan, 2023. "Integrated Environmental Assessment of Medical Waste Management in the Kingdom of Bahrain," Sustainability, MDPI, vol. 15(3), pages 1-13, January.
    2. Emmanuel Kazuva & Jiquan Zhang, 2019. "Analyzing Municipal Solid Waste Treatment Scenarios in Rapidly Urbanizing Cities in Developing Countries: The Case of Dar es Salaam, Tanzania," IJERPH, MDPI, vol. 16(11), pages 1-21, June.
    3. Salman Ahmadi & Hazhir Amjadi & Kamran Chapi & Reza Soodmand Afshar & Baha Ebrahimi, 2023. "Fuzzy flash flood risk and vulnerability assessment for the city of Sanandaj, Kurdistan Province, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 237-259, January.
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    5. Lucía Salguero-Puerta & Juan Carlos Leyva-Díaz & Francisco Joaquín Cortés-García & Valentín Molina-Moreno, 2019. "Sustainability Indicators Concerning Waste Management for Implementation of the Circular Economy Model on the University of Lome (Togo) Campus," IJERPH, MDPI, vol. 16(12), pages 1-21, June.
    6. Irene Monsonís-Payá & Tomás Gómez-Navarro & Mónica García-Melón, 2020. "Anticipating Environmental Burdens in Research and Innovation Projects—Application to the Case of Active and Healthy Ageing," IJERPH, MDPI, vol. 17(10), pages 1-20, May.
    7. Junfei Chen & Qian Li & Huimin Wang & Menghua Deng, 2019. "A Machine Learning Ensemble Approach Based on Random Forest and Radial Basis Function Neural Network for Risk Evaluation of Regional Flood Disaster: A Case Study of the Yangtze River Delta, China," IJERPH, MDPI, vol. 17(1), pages 1-21, December.
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