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Projection of Trends in Solid Waste Generation: The Case of Domestic Waste in Hong Kong Special Administrative Region

机译:固体废物产生趋势的预测:以香港特别行政区的生活垃圾为例

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摘要

Waste generation projections inform waste policy formulation and are an indispensable process in wastenmanagement planning. However, not only is valid waste generation projection difficult, their reliability is alsondifficult to prove. Between the two major methodological approaches in forecasting municipal solid wastengeneration, the time-series approach only uses past data and their distribution to determine future waste trends.nThe factor model, on the other hand, explains and predicts waste trends with explanatory variables such asnsocioeconomic factors of the waste generators. This latter approach not only aims at making predictions onnwaste quantities, it also aims at unveiling hypothetical causal relationships between factors for the prediction ofnwaste quantities. In this article, results of waste generation projection studies conducted between 1989 and 1999nby Hong Kong’s environmental authority on domestic waste growth were verified against actual waste data forndetermining the accuracy of these predictions. It was then followed by the use of a factor-model based technique,nautoregression, to forecast domestic waste growth for Hong Kong based on historical (1979–2007) waste datanand other socioeconomic factors. Although the use of multiple factor autoregression model appeared to rectifynthe overestimation tendency of classical linear regression model used by Hong Kong’s environmental authority,na number of empirical constraints that are also typical of other factor-model-based techniques were encountered.nIt is essential that waste policy makers are aware of, these constraints when they are making decisions based onnthe results from such models.
机译:废物产生预测可以指导废物政策制定,并且是废物管理计划中必不可少的过程。但是,不仅有效的废物产生预测困难,而且其可靠性也难以证明。在预测城市固体废物生成量的两种主要方法学方法之间,时间序列方法仅使用过去的数据及其分布来确定未来的废物趋势。n另一方面,因子模型通过解释变量(如社会经济因素)来解释和预测废物趋势。的废物产生者。后一种方法不仅旨在对废物量进行预测,而且还旨在揭示用于预测废物量的因素之间的假设因果关系。在本文中,根据香港的环境主管部门在1989年至1999年间对生活垃圾增长进行的废弃物产生预测研究的结果与实际废弃物数据进行了验证,从而确定了这些预测的准确性。然后,使用基于因子模型的技术,即自回归,基于历史(1979-2007年)废物数据和其他社会经济因素来预测香港的生活垃圾增长。尽管使用多因素自回归模型似乎可以纠正香港环境主管部门使用的经典线性回归模型的高估趋势,但是却没有遇到其他基于其他基于因素模型的技术的典型经验约束。决策者在根据此类模型的结果进行决策时会意识到这些限制。

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