A rating system for determination of hazardous wastes

Talınlı, İlhan; Yamantürk, Rana; Aydın, Egemen; Başakçılardan-Kabakçı, Sibel

doi:10.1016/j.jhazmat.2005.04.038

Cited by 13 publications

(16 citation statements)

References 4 publications

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“…Risk was considered as the function of waste quantity, hazard potential (HP) of the waste, probability of accident, and receptor population impacted in case of accident. Similar to the parameter HP proposed by Nema and Gupta (1999), Talinli et al (2005) proposed an overall rating value for hazardous waste by using variables such as ecological effect (ignitability, reactivity, corrosivity, toxicity) and combined potential risk (carcinogenic effect, toxic characteristics, infectious characteristics, persistency).…”

Section: Methodology For Relative Risk Assessmentmentioning

confidence: 99%

A Goal Programming Based Multi-Time Step Optimal Material Flow Analysis Model for Integrated Computer Waste Management

Ahluwalia¹

2007

J ENV INFORM

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ABSTRACT. Management of computer waste is a growing concern and is more serious in developing countries where rudimentary methods of reuse, recovery and disposal are in frequent use which poses grave environmental and health hazards. Hence there is a clear reason to be concerned about the management scheme for computer waste which will be cost effective and also environmentally friendly. However, assessment of risk from the management of computer waste is a difficult task due to uncertainty in exact composition of toxic constituents and their release mechanism in the environment. The present study attempts to assess the risk associated with various computer waste management activities in relative terms and presents an integer linear goal programming based multi time step optimal material flow analysis model to achieve satisfaction of multiple objectives of economy and health and environmental risk. The model selects various treatment and disposal facilities from a given set and allocates optimum quantities of waste to them along chosen transportation routes, depending on different priorities to cost and risk. An illustrated hypothetical example of computer waste management is presented to demonstrate the usefulness of the proposed formulation. Uncertainty in the waste generation quantities has been addressed using Monte Carlo simulation.

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Section: Methodology For Relative Risk Assessmentmentioning

confidence: 99%

A Goal Programming Based Multi-Time Step Optimal Material Flow Analysis Model for Integrated Computer Waste Management

Ahluwalia¹

2007

J ENV INFORM

View full text Add to dashboard Cite

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“…: (1) additive effects, where the net effects of chemicals in the hazardous waste are approximately equal to the sum of the constituent chemical contribution; (2) synergism (potentiation), where the total effects are greater than the additive effects; or (3) antagonism (inhibition or masking), where the net effects are less than the additive effects. Previous research on the hazards or toxicity of composite hazardous wastes to humans or ecosystems, as a result of their constituent compounds, assumed the effects to be additive [18][19][20].…”

Section: Hazard and Toxicity Evaluationmentioning

confidence: 99%

“…Talinli and co-workers [19] considered an infection variable in their rating algorithm for hazardous wastes. The infection variable was granulated into two classes' only and assigned values of 0 or 10.…”

Section: Infectious Effectsmentioning

confidence: 99%

“…Many researchers [12,19,56,59,60] have motivated the significance of taking into account the quantity of a chemical released into the environment in order to assess the toxicity risks adequately. The ultimate goal is to ensure that both the internal (e.g.…”

Section: Waste Quantitymentioning

confidence: 99%

“…The use of natural logarithm (ln) is to normalize the distribution of the waste quantities. Apparently, the use of the natural logarithmic transformation in ranking the quantity of waste by weight or volume differs markedly from the rating approach that had previously been used by Talinli et al [19] and Könemann and Visser [9]. Logarithmic transformation of the waste quantities released into the environment provides a release weightedhazard values that eliminates domination of waste classification by waste quantity.…”

Section: Waste Quantitymentioning

confidence: 99%

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