首页> 外文期刊>Journal of Solid Waste Technology and Management >DEVELOPMENT OF A SOLID WASTE PREDICTION,CHARACTERIZATION, AND MODELING TOOL FOR THE ASSESSMENT OF MANUFACTURING AND SERVICE WASTE MANAGEMENT SYSTEMS
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DEVELOPMENT OF A SOLID WASTE PREDICTION,CHARACTERIZATION, AND MODELING TOOL FOR THE ASSESSMENT OF MANUFACTURING AND SERVICE WASTE MANAGEMENT SYSTEMS

机译:用于制造和服务废物管理系统评估的固体废物预测,表征和建模工具的开发

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The goal of this study was to develop an integrated solid waste prediction and evaluation model. The purposes of the model were to better quantify solid waste generation compositions in order to evaluate performance of U.S. businesses and government agencies. A review of the literature showed that predicting and evaluating solid waste generation is relevant and important to environmental regulators and businesses. In addition, most studies lacked empirical support and rigorous statistical analyses, specifically related to individual company waste generation performance. To achieve the objective of this study, an integrated environmental model was developed to predict and evaluate solid waste generation rates. Data were collected from businesses and government agencies in the United States to answer research questions and build the integrated environmental model. The results of the national survey yielded 438 responses. U.S. business and government agencies were consolidated into 20 waste generating groups using multivariable cluster analysis. Significant variables that influence solid waste generation rates were identified for the 20 waste groups using stepwise regression analysis. Waste generation rates of individual companies in these waste groups were predicted and evaluated using performance parameters developed for this research. The findings of this research offer companies and regulators an effective means to improve environmental performance and allow them to predict and evaluate waste generation rates. Using the results of the research, companies can learn more about their strengths and weaknesses in their solid waste management and can then assess their generation performance versus industry specific benchmarks.
机译:这项研究的目的是开发一个集成的固体废物预测和评估模型。该模型的目的是更好地量化固体废物产生的成分,以评估美国企业和政府机构的绩效。对文献的回顾表明,预测和评估固体废物的产生与环境监管者和企业相关且重要。此外,大多数研究缺乏经验支持和严格的统计分析,尤其是与单个公司的废物产生绩效有关的统计分析。为了实现本研究的目的,开发了一个集成的环境模型来预测和评估固体废物的产生速率。数据是从美国的企业和政府机构收集的,用以回答研究问题并建立综合环境模型。全国调查的结果得到438份答复。美国企业和政府机构通过多变量聚类分析被合并为20个废物产生组。使用逐步回归分析,确定了影响20个废物组的固体废物产生率的重要变量。使用为这项研究开发的性能参数,可以预测和评估这些废物组中各个公司的废物产生率。这项研究的结果为公司和监管机构提供了一种有效的手段来改善环境绩效,并使他们能够预测和评估废物产生率。利用研究结果,公司可以了解他们在固体废物管理方面的优势和劣势,然后可以根据行业特定基准评估其发电性能。

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