Bio: Rana Yamantürk is an academic researcher from Istanbul Technical University. The author has contributed to research in topics: Hazardous waste. The author has an hindex of 1, co-authored 1 publications receiving 19 citations.
Topics: Hazardous waste
TL;DR: Overall rating value (ORV) calculates and quantifies the waste as regular, non-regular or hazardous waste in an "hourglass" scale to ease the works of decision makers in managing the wastes.
Abstract: Although hazardous waste lists and their classification methodologies are nearly the same in most of the countries, there are some gaps and subjectiveness in determining the waste as hazardous waste. A rating system for the determination of waste as a hazardous waste is presented in this study which aims to overcome the problems resulted from the existing methodologies. Overall rating value (ORV) calculates and quantifies the waste as regular, non-regular or hazardous waste in an “hourglass” scale. “ORV” as a cumulative-linear formulation in proposed model consists of components such as ecological effects of the waste (Ee) in terms of four main hazard criteria: ignitability, reactivity, corrosivity and toxicity; combined potential risk (CPR) including carcinogenic effect, toxic, infectious and persistence characteristics; existing lists and their methodology ( L ) and decision factor ( D ) to separate regular and non-regular waste. Physical form ( f ) and quantity ( Q ) of the waste are considered as factors of these components. Seventeen waste samples from different sources are evaluated to demonstrate the simulation of the proposed model by using “hourglass” scale. The major benefit of the presented rating system is to ease the works of decision makers in managing the wastes.
TL;DR: The generation of discarded household hazardous waste (HHW) is another important source of hazardous waste and has come into being a huge challenge faced to Chinese environmental management.
Abstract: Associated with the rapid economic growth and tremendous industrial prosperity, continues to be the accelerated increase of hazardous waste generation in China. The reported generation of industrial hazardous waste (IHW) was 11.62 million tons in 2005, which accounted for 1.1% of industrial solid waste (ISW) volume. An average of 43.4% of IHW was recycled, 33.0% was stored, 23.0% was securely disposed, and 0.6% was discharged without pollution controlling. By the end of 2004, there were 177 formal treatment and disposal centers for IHW management. The reported quantity of IHW disposed in these centers was only 416,000 tons, 65% of which was landfilled, 35% was incinerated. The quantity of waste alkali and acid ranked the first among IHW categories, which accounted for 30.9%. And 39.0% of IHW was generated from the raw chemical materials and chemical products industry sectors. South west China had the maximum generation of IHW, accounted for 40.0%. In addition, it was extrapolated that 740,000 tons of medical wastes were generated per year, of which only 10% was soundly managed. The generation of discarded household hazardous waste (HHW) is another important source of hazardous waste. A great proportion of HHW was managed as municipal solid waste (MSW). Hazardous waste pollution controlling has come into being a huge challenge faced to Chinese environmental management.
TL;DR: A new automated algorithm for waste classification that takes into account physicochemical and toxicity effects of the constituent chemicals to humans and ecosystems, in addition, to the exposure potency and waste quantity is proposed.
Abstract: In the literature on hazardous waste classification, the criteria used are mostly based on physical properties, such as quantity (weight), form (solids, liquid, aqueous or gaseous), the type of processes generating them, or a set of predefined lists. Such classification criteria are inherently inadequate to account for the influence of toxic and hazard characteristics of the constituent chemicals in the wastes, as well as their exposure potency in multimedia environments, terrestrial mammals and other biota. Second, none of these algorithms in the literature has explicitly presented waste classification by examining the contribution of individual constituent components of the composite wastes. In this two-part paper, we propose a new automated algorithm for waste classification that takes into account physicochemical and toxicity effects of the constituent chemicals to humans and ecosystems, in addition, to the exposure potency and waste quantity. In part I, available data on the physicochemical and toxicity properties of individual chemicals in humans and ecosystems, their exposure potency in environmental systems and the effect of waste quantity are described, because they fundamentally contribute to the final waste ranking. Knowledge acquisition in this study was accomplished through the extensive review of published and specialized literature to establish facts necessary for the development of fuzzy rule-bases. Owing to the uncertainty and imprecision of various forms of data (both quantitative and qualitative) essential for waste classification, and the complexity resulting from knowledge incompleteness, the use of fuzzy set theory for the aggregation and computation of waste classification ranking index is proposed. A computer-aided intelligent decision tool is described in part II of this paper and the functionality of the fuzzy waste classification algorithm is illustrated through nine worked examples.
TL;DR: In this paper, an overall Safety/Hazard Index (SHI) is introduced and defined in the same way as the previously described benign index (BI) covering various environmental impacts, including the following potential hazards: corrosive gas (CGP), corrosive liquid/solid (CLP), flammability (FP), oxygen balance (OBP) applied to combustion reactions and oxidation reactions, hydrogen gas generation (HGP), explosive vapour (XVP), explosive strength (XSP), impact sensitivity (ISP), risk phrase (RPP), occupational exposure limit (O
Abstract: An overall Safety/Hazard Index (SHI) is introduced and defined in the same way as the previously described benign index (BI) covering various environmental impacts. Following the same themes and symbolism usage found in the Workplace Hazardous Materials Information System (WHMIS) and National Fire Protection Association (NFPA) 704 code, SHI covers the following safety-hazard potentials: corrosive gas (CGP), corrosive liquid/solid (CLP), flammability (FP), oxygen balance (OBP) applied to combustion reactions and oxidation reactions, hydrogen gas generation (HGP), explosive vapour (XVP), explosive strength (XSP), impact sensitivity (ISP), risk phrase (RPP), occupational exposure limit (OELP), maximum allowable concentration (MACP), dermal absorption (DAP), and skin dose (SDP). In addition, reaction temperature hazard (RTHI) and reaction pressure hazard (RPHI) indices are defined with respect to reference ambient reaction conditions of 25 °C and 1 atm. All three indices vary in value between 0 and 1 to confo...
TL;DR: This study suggests future insights for the development of an automated intelligent environment management system for the promotion of environmental sustainability in the local community, through a systematic review of 1,707 relevant literature.
Abstract: Although various technologies are being developed in the construction industry, management technologies for achieving environmental sustainability in the local community are still lacking. As such, this study suggests future insights for the development of an automated intelligent environment management system for the promotion of environmental sustainability in the local community, through a systematic review of 1,707 relevant literature. The systematic review was conducted in two steps: (i) quantitative review: keyword co-occurrence and trend analysis; and (ii) qualitative review: a review on monitoring, evaluation, and improvement technologies. As a result, the research level related to the local-level pollutants (noise, vibration, and dust) was found to be quantitatively insufficient, and the limitations of the existing technologies for these pollutants were presented. Eventually, to overcome these limitations, new technologies and application strategies that can be applied to construction sites as future research roadmap to effectively manage the hazardous pollutants were proposed. Furthermore, an intelligent management system should be developed, and the management of environmental complaints is also necessary for environmental sustainability at the local level in the construction industry. As a fundamental study, this study could become a benchmark for future researches dealing with environmental sustainability and hazardous pollutants in the construction industry.
TL;DR: In this paper, an integer linear goal programming based multi-time step optimal material flow analysis model is presented to achieve satisfaction of multiple objectives of economy and health and environmental risk in computer waste management.
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.