Spatial analysis of solid waste induced ecological hot spots in Ethiopia: where ecohydrologists should begin?

Gondo, Tendayi; Gumbo, Trynos; Mazhindu, Elias; Ingwani, Emaculate; Makhanda, Raymond

doi:10.2478/v10104-011-0018-3

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…Where waste is moist, it has a tendency to generate odours which are a nuisance to the health of human beings (Panagopoulos et al 2016). A study by Gondo et al (2010) also showed that the adverse effects of uncollected solid waste are insurmountable in areas characterised by high precipitation levels and high temperatures.…”

Section: Ecological Attributes Defining Municipal Solid Waste Managemmentioning

confidence: 98%

“…The proposed VAF assumes that the human health vulnerabilities associated with MSWM are a function of three variables including exposure, sensitivity and adaptive capacity. The exposure component is not misplaced because a significant number of MSWM studies and proposed interventions have in the past emphasised the importance of reducing exposure of communities to poor SWM practices (Arup 2016; Gondo et al 2010). A host of other studies in the similar field have also sought to understand responses and tolerances (here referred to as sensitivity) of communities to MSWM services rendered by planning authorities (Chandak 2010; Medina 2010).…”

Section: Introductionmentioning

confidence: 99%

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A hierarchical cluster-based segmentation analysis of potential solid waste management health hazards in urban Ethiopia

Gondo

2019

Jàmbá Journal of Disaster Risk Studies

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Many interventions were sought in the past to address the human health and aquatic life implications associated with poor Municipal Solid Waste Management (MSWM) practices. Majority of such interventions failed to recognise that such human health risks and threats to aquatic life are to a large extent moderated by unique characteristics of different urban and rural spaces where such waste is generated. They failed to employ multiple criteria-based evaluation models that are appropriate in depicting the complex and often interrelated criteria inherently associated with MSWM. This study used the Hierarchical Cluster Analysis (HCA) to evaluate several interdependent variables that define human health and aquatic life hazards associated with poor MSWM practices. Specifically, HCA was used to identify relative similarities among, and distances between a sample of 26 Ethiopian cities and towns in terms of MSWM health threats. Results indicated that threats to human health and aquatic life are surmountable for cities whose economies are relatively low and lacking capacity in terms of SWM infrastructure, acceptable institutional arrangements and better health-care facilities to deal with associated SWM-induced human health risks. Risk of flood waters owing to low altitude has also compounded the urban health conditions in such cities. Despite being better positioned, the analysis observed that some bigger cities still face problems in terms of effective land use planning policies, commitment towards implementing effective SWM programmes as well as the absence of water safety management plans. It concluded by proposing a number of targeted interventions seeking to improve the human health conditions of cities failing to cope with uncollected waste.

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Section: Ecological Attributes Defining Municipal Solid Waste Managemmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

A hierarchical cluster-based segmentation analysis of potential solid waste management health hazards in urban Ethiopia

Gondo

2019

Jàmbá Journal of Disaster Risk Studies

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“…It relates to the effluent systems and waste management (Hoornweget al, 2011), greenhouse gas and particulate matter (Shanmugam and Hertelendy, 2011), and poor infrastructure, and meager urban planning (Colombani et al, 2018;Liu et al, 2015). In developing countries, lack of standard inbuilt sewerage systems, poor waste management (Gondo et al, 2010), and volatile gases (Kaushal and Sharma, 2016;Kumar et al, 2016) provoke environmental pollution. Environmental pollution links people's environmental awareness (ECLAC, 2004;Momoh and Oladebeye, 2010) and their consumption behavior (Xu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Several studies conducted on solid waste (Beyene and Banerjee, 2011;Destaw et al, 2013;T. Getahun et al, 2012;Regassa et al, 2011), river and groundwater contamination (Awoke et al, 2016;Gebre and Rooijen, 2009;Gondo et al, 2010;Goshu et al, 2010;Mazhindu et al, 2010), and air pollution (Do et al, 2013). While, few studies examining the environmental awareness in the farming communities (Adem, 2017) and among students (Emiru and Waktola, 2018).…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting People’s Environmental Awareness In The Urban Areas: A Case of Addis Ababa, Ethiopia

Getachew

Assefa

Seyoum

2021

Preprint

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Background: In developing countries, the urban environment is deteriorating over time. In the meantime, people's demand for clean and green residential and recreational places has increased. If so, why has it been hard to keep clean and green cities? This paper investigates the level and determinants of environmental awareness in Addis Ababa. From three sub-cities, a three-stage sampling procedure applies to select 293 sample respondents. The data collection applies a structured questionnaire. We applied a five-point Likert scale to classify the levels of awareness. Besides, an ordered logit model was applied to analyze factors that affect the level of awareness.Results: The result shows that the knowledge of forest degradation is high, while the attitude to reduce the use of glass bottles is medium. The cognitive skill on the cause of acid rain is medium. The probability of low (13%) and medium (26%) levels of environmental awareness increases for the income group of 601 to 1650. Likewise, the likelihood of having low levels of environmental awareness rises by 9%; in contrast, the probability of having a moderate level of environmental awareness increases by 12% for the age of 50 to 59. The TVET educational level has a low chance of having low (8%) and medium (12%) levels of awareness.Conclusions: An income-generating activity raises employment opportunities and creates a better income, which would influence the environmental mindset. So, improving the living standard assures clean and green cities. Besides, the higher the education, the better would be environmental knowledge, cognitive skills, and attitude. In the meantime, besides formal education, adult education, training, and workshops are alternatives to enhance environmental awareness.

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“…This approach will have the potential of bringing the fragmented approaches into one whole system that promotes sustainable waste management. Specific studies that can reveal the importance of the hydrological and ecological processes in managing waste should be carried out in selected "ecological hot spots" [38]. The results of such studies will help in convincing decision makers and practitioners to understand the value addition of ecohydrolgy as a tool for integrated waste management in the fragile ecological hot spots prone to widespread anthropogenic health risks.…”

Section: Introductionmentioning

confidence: 99%

Waste Management Threats to Human Health and Urban Aquatic Habitats – A Case Study of Addis Ababa, Ethiopia

Mazhindu¹,

Gumbo²,

Gondo³

2012

Waste Management - An Integrated Vision

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Spatial analysis of solid waste induced ecological hot spots in Ethiopia: where ecohydrologists should begin?

Cited by 4 publications

References 11 publications

A hierarchical cluster-based segmentation analysis of potential solid waste management health hazards in urban Ethiopia

A hierarchical cluster-based segmentation analysis of potential solid waste management health hazards in urban Ethiopia

Factors Affecting People’s Environmental Awareness In The Urban Areas: A Case of Addis Ababa, Ethiopia

Waste Management Threats to Human Health and Urban Aquatic Habitats – A Case Study of Addis Ababa, Ethiopia

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