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An Approach in Modelling the Physiological Effects of Waste Disposal on Human Health

机译:废物处置对人类健康的生理效应建模的方法

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In the past several decades research scholars and professionals have emphasised the need to direct research efforts to the complex physiological effect of waste disposal. More recently, researchers have argued that for nation to stay healthy, the physiological effects of waste disposal as it relates to accident and disease prevention needs to be understood. While accident studies in environments, where improper waste disposal methods apply are very important, the current trend in disease explosion both in the developed and developing countries of the world has reached an alarming dimension. Research studies presently reveal that there is an outbreak of some terminal diseases such as SARS (Severe Acute Respiratory Syndrome) which may perhaps be related to inappropriate waste disposal method. Thus, there is a need for a renewed attention on disease control through the development of appropriate waste disposal control models. Therefore, modelling the physiological effects of waste disposal in some mathematical perspectives should be adequately explored. This work presents a model on the physiological effects of waste disposal with the use of statistical theory. This presentation and an understanding of the interaction of the component variables offer some beneficial insight. Some probabilistic measures are formulated using the expectancy model in statistics. The results showed that the scientific modelling of the waste disposal problem is feasible. Future studies could include the application of emerging concepts and analytical tools such as analytical hierarchy process (AHP), fuzzy logic and genetic algorithm (GA).
机译:在过去的几十年中,研究学者和专业人士强调必须将研究工作引向废物处理的复杂生理效应。最近,研究人员认为,要使国家保持健康,就必须了解废物处置与事故和疾病预防相关的生理影响。尽管在采用不适当的废物处理方法的环境中进行事故研究非常重要,但当今世界发达国家和发展中国家的疾病爆炸趋势都已达到令人震惊的程度。目前的研究表明,某些终末疾病如SARS(严重急性呼吸系统综合症)的爆发可能与不适当的废物处理方法有关。因此,需要通过开发适当的废物处理控制模型来重新关注疾病控制。因此,应该从数学角度对废物处理的生理效应进行建模。这项工作利用统计理论提出了废物处置的生理效应模型。此演示文稿以及对组件变量相互作用的理解提供了一些有益的见解。在统计中使用期望模型制定了一些概率测度。结果表明,对废物处理问题进行科学建模是可行的。未来的研究可能包括新兴概念和分析工具的应用,例如层次分析法(AHP),模糊逻辑和遗传算法(GA)。

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