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

Author(s):  
Emmanuel Kazuva ◽  
Jiquan Zhang ◽  
Zhijun Tong ◽  
Alu Si ◽  
Li Na

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.

Chemosphere ◽  
2018 ◽  
Vol 208 ◽  
pp. 569-578 ◽  
Author(s):  
Magdalena Daria Vaverková ◽  
Jakub Elbl ◽  
Maja Radziemska ◽  
Dana Adamcová ◽  
Antonín Kintl ◽  
...  

2021 ◽  
Author(s):  
Fangfang Miao ◽  
Yimei Zhang ◽  
Shuai Li ◽  
Yaxiao Duan ◽  
Yuxian Lai ◽  
...  

Abstract Soil heavy metal contaminated sites with multiple sources of pollution have caused worldwide public concern. However, the lack of correlation of risk assessment or source identification of heavy metal leads to unclear direction of source governance. Although previous studies have involved different risk assessment, few attempts have been made to establish a link between them. In order to design a comprehensive risk assessment system, it is necessary to identify the specific source risks and the correlation and comparison between environmental risk assessment. In this paper, a methodology was established by combining source apportionment of ecological risks and human health risks (SERA) to characterize the sources and source-specific risks of heavy metals in soil. Positive matrix factorization (PMF) model was used to identify and classify potential sources of heavy metals in the study area. According to the results, they will be incorporated into the environmental risk model to evaluate environmental risk of the identified sources of heavy metals. The results showed that concentrations of Cd and Hg were highly above the background values, indicating a moderate enrichment. It was worth noting that the source contributed ecological risk index (SCEI) of Hg, with the value of 51.16 contributed mainly by the pollutant sources of waste treatment, has reached moderate ecological risk. The SCEI of Cd contributed by industrial activities (the wastewater and dyeing process) showed the most predominant source of contribution. The source contributed human health risk index (SCHI) of As contributed most by pollutant sources of agriculture activities. Overall, the modified total health risk posed by soil heavy metals SCHI was 1.11E+00, showing potential risk to the residents. This study provides a new insight for the treatment of mutil-sources of soil heavy metal pollution and also some reference value for the improvement of the risk assessment system.the main finding: Exploring a methodology (SERA) to quantitatively characterize the relationship between pollutants sources and environmental risk assessment based on source contribution.


2020 ◽  
Vol 191 ◽  
pp. 110068
Author(s):  
Fatemeh Yousefian ◽  
Mohammad Sadegh Hassanvand ◽  
Ramin Nabizadeh Nodehi ◽  
Heresh Amini ◽  
Noushin Rastkari ◽  
...  

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