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Environmental Risk Indices for Municipal Solid Waste in the City of Dar es Salaam, Tanzania: Assessing Pressure-Response Relationship

Received: 30 October 2018    Accepted: 14 November 2018    Published: 19 December 2018
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Abstract

This paper based on the previous study which used DPSIR model and analytical hierarchy process (AHP) to assess environmental risk from Municipal Solid Waste in the city of Dar es Salaam, Tanzania, by Kazuva, et al., (2018) The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania. Int. J. Environ. Res. Public Health 15(8). In that study the Comprehensive Environmental Risk Index-(CERI) was categorised into five major indices of drivers-pressure-state-impact-response, as simulated from the model. Despite that each index contributed significantly to the CERI, pressure and response indices have been found with peculiar features. While pressure index showed the greatest influence to the alarming state of environmental pollution, response index found with dictating power to the trend of other indices. Therefore, this study intends to present the relationship between pressure and response indices from the established environmental risk indicator system, by using the experts’ questionnaires method and the AHP. Analysis was done by computing trend of the two indices in the period of 12 years (2006-2017). Literally, pressure and response indices have been found with opposing tendencies for the entire period of assessment. The response index with all its subordinates have continued found with a controlling power over pressure index. It slows down the risk value for pressure index, thus withholding the ERI from reaching the critical point (>0.8). However, this power has not been effective and sufficient to suppress the entire pressure which was constantly increasing in upward trend, somewhat threatening ecological environment and human health in urban setting.

Published in International Journal of Engineering Management (Volume 2, Issue 4)
DOI 10.11648/j.ijem.20180204.13
Page(s) 93-103
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Environmental Risk Assessment, Municipal Solid Waste, Pressure-response Relationship, Ecological Environment, Human Health, Urban Sustainability, Dar es Salaam

References
[1] Hossain, S., et al., Clinical solid waste management practices and its impact on human health and environment – A review. Waste Management, 2010. 31(4): p. 754-766, doi: 10.1016/j.wasman.2010.11.008.
[2] Chen, M., Xu, L., Liu, T., Huang, H., The Ecosystem Health Assessment of Ganjiang River upstream frame model based on PSR. Journal of Jiangxi Agricultural University, 2012. 34(4): p. 839-845.
[3] Xiao, Y., et al., The composition, trend and impact of urban solid waste in Beijing. Environmental Monitoring and assessment; Dordrecht 135.1-3: 21-30, 2007.
[4] Omran, A. and M. Gavrilescu, Municipal solid waste management in developing countries: A perspective on Vietnam. Environmental Engineering & Management Journal, 2008.
[5] Getahun, T., et al., Municipal solid waste generation in growing urban areas in Africa: current practices and relation to socioeconomic factors in Jimma, Ethiopia. Environmental Monitoring & Assessment, 2012. 184(10): p. 6337-6345.
[6] UN, united Nations-World Population Prospects. 2017, DESA / Population Division.
[7] NBS, National Population Projections 2018, United Republic of Tanzania- Ministry of Finance and Planning: Dar es Salaam, Tanzania. p. 13-15, 20-40.
[8] Kazuva, E. N., Determinants of Individuals' willingness to use Economic Instruments for Solid waste Management in Dar es Salaam: The case of Mwananyamala and Mikocheni wards. International Journal of Environmental Science & Natural Resources, 2017. 4(4): p. 8, 13-15, DOI: 10.19080/IJESNR.2017.04.555644.
[9] UN. World Urbanization Prospects 2018. 2018 [cited 2018 May, 22]; Available from: https://esa.un.org/unpd/wup/.
[10] Huisman, H., H. Breukelman, and B. Keesman, Expert mission on integrated solid waste management (ISWM) to Dar es Salaam. 2016.
[11] Sakijege, T., J. Lupala, and S. Sheuya, Flooding, flood risks and coping strategies in urban informal residential areas: The case of Keko Machungwa, Dar es Salaam, Tanzania. 2012.
[12] Kicińska, A. and M. Mamak, Health risks associated with municipal waste combustion on the example of Laskowa commune (Southern Poland). Human and Ecological Risk Assessment: An International Journal, 2017. 23(8).
[13] Omololu, O. O. and S. A. Lawal, Population growth and Waste Management in African Cities, in University of Ibadan. 2012: IbaFigure dan, Nigeria.
[14] UN-HABITAT, Tanzania: Dar es Salaam City Profile. 2009: Regional and information Offices, Nairobi, Kenya.
[15] Salon, E., et al., ''Life-Cycle-Based Solid Waste Management I: Model Development,'' Journal of environmental Engineering, 2002. 128(10): p. 981-992.
[16] Kazuva, E., et al., 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 (8), doi: 10.3390/ijerph15081692(8).
[17] Linster, M. and L. Fletcher, Using the Pressure-State-Response Model to Develop Indicators of Sustainability, O. E. D. S. o. t. E. Division, Editor. 2012: USA.
[18] Xie, H. and X. Zhang, The measure and Countermeasure of ecological security in the suburban area in Beijing city of Haidian district as an example. China Population Resources and Environment, 2004. 14(3): p. 23-26.
[19] Zebardast L, Salehi E, and A. H., Application of DPSIR Framework for Integrated Environmental Assessment of Urban Areas: A Case Study of Tehran [J]. International Journal of Environmental Research, 2015. 9(2): p. 445-456.
[20] Salehi, E. and L. Zebardast, Application of Driving Force - Pressure- State- Impact- Response (DPSIR) Framework for Analyzing the Human habitat in City of Tehran Space Ontology International Journal, 2015. 4(14s): p. 65-71.
[21] Saaty, T. L., The Analytic Hierarchy Process. 1980, New York, Pittsburgh. : McGraw Hill. RWS Publications International.
[22] Saaty, T. L., Theory and applications of the analytical network process: decision-making with benefits, opportunities, costs, and risk. 2005, University of Pittsburgh, Pittsburgh: RWS Publications.
[23] Saaty T, L., The analytic hierarchy and analytic network measurement processes: Applications to decisions under risk. European Journal of Pure and Applied Mathematics, 2008. 1(1): p. 122-196.
[24] Saaty T, L. and G. Vargas L, “How to make a decision?”, in Models, methods, concepts and applications of the analytic hierarchy process. Vol. 1. 2001, Dordrecht: Kluwer.
[25] Vaidya, S. K., “Analytic hierarchy process: an overview of applications,”. European Journal of Operational Research, vol. 169, pp. 1–29, 2006. https://doi.org/10.1016/j.ejor.2004.04.028 2006.
[26] Raybould, A., Priciples of environmental risk assessment: reducing uncertainty in decision making. 2010: Syngenta, p 147-168.
[27] Alonso, J. A. and T. L. Ma, A Statistical Criterion of Consistency in the Analytic Hierarchy Process [C], in International Conference on Modeling Decisions for Artificial Intelligence 2005, Springer-Verlag. p. 67-76.
[28] Brent, A. C., D. E. C. Rogers, and M. B. Rohwer, Application of the analytical hierarchy process to establish health care waste management systems that minimise infection risks in developing countries. European Journal of Operational Research, 2007. 181(1): p. 403-424.
[29] Kelliher, P. O. J. and D. J. V. Wilmot. A common risk classification system for the actuarial profession: A discussion paper in The Actuarial proffession: Making financial sense of the future. 2011. Edinburgh, London, p. 1-38.
[30] Adrian, V. G. and N. M. Michek, Integrated Raginal Risk Assessment: Consequence Assessment of Accidental Releases. Vol. II. 1995, Dordrecht, The Netherlands: Kluwer Academic Publishers.
[31] Wilson, D. C., Velis, C., & Cheeseman, C., Role of informal sector in waste management in developing countries. Habitat International, 2006. 30: p. 797-808.
[32] Solomon, A. O., Oosterveer P, Spaargaren G. , Household Solid Waste Characteristics and Management Practices in Dar es Salaam City, Tanzania [J]. Journal of Solid Waste Technology & Management, 2010.
[33] Kihampa, C., Environmental Exposure and and Health Concerns of Municipal Solid Waste Disposal in Dar es Salaam, Tanzania. Journal of Sustainable development in Africa, 2013. 15(3): p. 198.
[34] Yhdego, M., From a Sanitary landfill to a Dump site: Pugu Kinyamwezi Community Curse in Dar es Salaam, Tanzania. 2017, ERC- Environmental Resources Consultancy Dar es Salaam.
[35] Zhang, Y., et al., Urban city life garbage treatment technology status and management countermeasures. Journal of Ecological Environment, 2011. 20(2): p. 389-396.
[36] Oberlin, A. S., Resource recovery potential: a case study of household waste in Kinondoni municipality, Dar es Salaam, Tanzania. Journal of Natural and Applied Sciences, 2013. 4(1): p. 563-574.
Cite This Article
  • APA Style

    Emmanuel Kazuva, Jiquan Zhang. (2018). Environmental Risk Indices for Municipal Solid Waste in the City of Dar es Salaam, Tanzania: Assessing Pressure-Response Relationship. International Journal of Engineering Management, 2(4), 93-103. https://doi.org/10.11648/j.ijem.20180204.13

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    ACS Style

    Emmanuel Kazuva; Jiquan Zhang. Environmental Risk Indices for Municipal Solid Waste in the City of Dar es Salaam, Tanzania: Assessing Pressure-Response Relationship. Int. J. Eng. Manag. 2018, 2(4), 93-103. doi: 10.11648/j.ijem.20180204.13

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    AMA Style

    Emmanuel Kazuva, Jiquan Zhang. Environmental Risk Indices for Municipal Solid Waste in the City of Dar es Salaam, Tanzania: Assessing Pressure-Response Relationship. Int J Eng Manag. 2018;2(4):93-103. doi: 10.11648/j.ijem.20180204.13

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  • @article{10.11648/j.ijem.20180204.13,
      author = {Emmanuel Kazuva and Jiquan Zhang},
      title = {Environmental Risk Indices for Municipal Solid Waste in the City of Dar es Salaam, Tanzania: Assessing Pressure-Response Relationship},
      journal = {International Journal of Engineering Management},
      volume = {2},
      number = {4},
      pages = {93-103},
      doi = {10.11648/j.ijem.20180204.13},
      url = {https://doi.org/10.11648/j.ijem.20180204.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijem.20180204.13},
      abstract = {This paper based on the previous study which used DPSIR model and analytical hierarchy process (AHP) to assess environmental risk from Municipal Solid Waste in the city of Dar es Salaam, Tanzania, by Kazuva, et al., (2018) The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania. Int. J. Environ. Res. Public Health 15(8). In that study the Comprehensive Environmental Risk Index-(CERI) was categorised into five major indices of drivers-pressure-state-impact-response, as simulated from the model. Despite that each index contributed significantly to the CERI, pressure and response indices have been found with peculiar features. While pressure index showed the greatest influence to the alarming state of environmental pollution, response index found with dictating power to the trend of other indices. Therefore, this study intends to present the relationship between pressure and response indices from the established environmental risk indicator system, by using the experts’ questionnaires method and the AHP. Analysis was done by computing trend of the two indices in the period of 12 years (2006-2017). Literally, pressure and response indices have been found with opposing tendencies for the entire period of assessment. The response index with all its subordinates have continued found with a controlling power over pressure index. It slows down the risk value for pressure index, thus withholding the ERI from reaching the critical point (>0.8). However, this power has not been effective and sufficient to suppress the entire pressure which was constantly increasing in upward trend, somewhat threatening ecological environment and human health in urban setting.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Environmental Risk Indices for Municipal Solid Waste in the City of Dar es Salaam, Tanzania: Assessing Pressure-Response Relationship
    AU  - Emmanuel Kazuva
    AU  - Jiquan Zhang
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    JF  - International Journal of Engineering Management
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    PB  - Science Publishing Group
    SN  - 2640-1568
    UR  - https://doi.org/10.11648/j.ijem.20180204.13
    AB  - This paper based on the previous study which used DPSIR model and analytical hierarchy process (AHP) to assess environmental risk from Municipal Solid Waste in the city of Dar es Salaam, Tanzania, by Kazuva, et al., (2018) The DPSIR Model for Environmental Risk Assessment of Municipal Solid Waste in Dar es Salaam City, Tanzania. Int. J. Environ. Res. Public Health 15(8). In that study the Comprehensive Environmental Risk Index-(CERI) was categorised into five major indices of drivers-pressure-state-impact-response, as simulated from the model. Despite that each index contributed significantly to the CERI, pressure and response indices have been found with peculiar features. While pressure index showed the greatest influence to the alarming state of environmental pollution, response index found with dictating power to the trend of other indices. Therefore, this study intends to present the relationship between pressure and response indices from the established environmental risk indicator system, by using the experts’ questionnaires method and the AHP. Analysis was done by computing trend of the two indices in the period of 12 years (2006-2017). Literally, pressure and response indices have been found with opposing tendencies for the entire period of assessment. The response index with all its subordinates have continued found with a controlling power over pressure index. It slows down the risk value for pressure index, thus withholding the ERI from reaching the critical point (>0.8). However, this power has not been effective and sufficient to suppress the entire pressure which was constantly increasing in upward trend, somewhat threatening ecological environment and human health in urban setting.
    VL  - 2
    IS  - 4
    ER  - 

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Author Information
  • Department of Geography, Open University of Tanzania, Dar es Salaam, Tanzania; School of Environment, Northeast Normal University, Changchun, China

  • School of Environment, Northeast Normal University, Changchun, China

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