Peeranart Kiddee

Bio: Peeranart Kiddee is an academic researcher from Thaksin University. The author has contributed to research in topics: Electronic waste & Material flow analysis. The author has an hindex of 5, co-authored 6 publications receiving 586 citations. Previous affiliations of Peeranart Kiddee include University of South Australia.

An overview of treatment technologies of E-waste

Abstract: Electronic waste (E-waste) has been stated as one of the most rapidly growing waste streams in the world. It consists of a wide range of elements and compounds including both valuable and hazardous materials. E-waste can contaminate the environment and threaten human health through its improper recycling and disposal methods. Moreover, E-waste represents a significant potential source of valuable materials to make the recycling of this waste economically fascinating. This chapter presents an overview of E-waste treatment technologies including sanitary landfill and recycling of precious metals, nonmetal elements, plastics, and glasses. The recycling of E-waste has become a significant issue because of the strange growth in the production of E-waste and increased awareness among people regarding environmental protection. Consequently, the primitive treatment technologies cannot reach the future obligations of industry because of the potential risk of environmental contamination, high cost, and low efficiency. An effective utilization of the reusable resources is therefore a prerequisite for developing new technologies to treat E-waste.

Health Problems Among Workers Who Recycle Electronic Waste in Southern Thailand.

Abstract: Objectives This study evaluated the prevalence of adverse health effects among recycling facility workers, and described their socioeconomic situation, health symptoms and work characteristics. Methods A cross-sectional study was conducted by interviewing 71 workers in 20 electronic waste (e-waste) recycling facilities in southern Thailand. Data were collected by questionnaire. Risk factors were evaluated using multiple logistic regression analysis. Results Recycling facility workers with blurred vision were significantly associated with being male (p = 0.035), over 40 years old (p = 0.020), and having ≤ secondary school education (p = 0.017). Rash/itching was associated with being male (p = 0.011), over 40 years (p = 0.018), having ≤ secondary school education (p = 0.012). not using a cloth mask (p = 0.019), not using gloves (p = 0.028), not washing hands before lunch (p = 0.005), not cleaning clothes daily (p = 0.025), and not having established ventilation systems in the place of work (p = 0.018). Hand-and-feet numbness were associated with being male (p = 0.025), and being over 40 years (p = 0.023). Headaches were associated with being male (p = 0.028). Conclusion Personal hygiene is important for this occupational group, and it should be emphasized in education programs.

Dynamic Probabilistic Modeling of Environmental Emissions of Engineered Nanomaterials

Abstract: The need for an environmental risk assessment for engineered nanomaterials (ENM) necessitates the knowledge about their environmental concentrations. Despite significant advances in analytical methods, it is still not possible to measure the concentrations of ENM in natural systems. Material flow and environmental fate models have been used to provide predicted environmental concentrations. However, almost all current models are static and consider neither the rapid development of ENM production nor the fact that many ENM are entering an in-use stock and are released with a lag phase. Here we use dynamic probabilistic material flow modeling to predict the flows of four ENM (nano-TiO2, nano-ZnO, nano-Ag and CNT) to the environment and to quantify their amounts in (temporary) sinks such as the in-use stock and (“final”) environmental sinks such as soil and sediment. Caused by the increase in production, the concentrations of all ENM in all compartments are increasing. Nano-TiO2 had far higher concentrations...