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首页> 外文期刊>Journal of Solid Waste Technology and Management >FORECASTING OF MUNICIPAL SOLID WASTE QUANTITY AND QUALITY IN A DEVELOPING REGION USING REGRESSION PREDICTIVE MODELS
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FORECASTING OF MUNICIPAL SOLID WASTE QUANTITY AND QUALITY IN A DEVELOPING REGION USING REGRESSION PREDICTIVE MODELS

机译：回归预测模型在发达地区城市固体废物量和质量预测中的应用。

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摘要

Updated waste composition information relation using economic, socio-demographic and management data will identify possible factors that will help in selecting the crucial design options and the setting of an adequate framework to improve the sustainable planning, management and operationof solid waste facilities. To this direction this paper presents the results of a study performed in Nablus and Jenin Districts, West Bank, which involves application of efficient mathematical models to predict the future generation rates and components of municipal solid waste generationin the given area. Monthly quantities of solid waste in the two aforementioned governorates were compiled for the years of 2011-2013 while simultaneously data was collected to identify waste composition. The mean value of the daily generated solid waste is found to be 0.95 kg/cap/day.Seven multiple-variable regression equations and models are derived for estimating the monthly generated total solid waste and its components. The results were crosschecked with the introduction of appropriate indicators which established the models high reliability and significance in predictingthe components of SW. The developed models' results aim to assist the decision-makers to better organise and plan the SWM in the areas of interest as well as step in the design and plan of the SWM facilities to ensure their sustainable operation in the future.
机译：使用经济，社会人口统计和管理数据更新的废物成分信息关系将确定可能的因素，这些因素将有助于选择关键的设计方案和设置适当的框架，以改善固体废物设施的可持续规划，管理和运营。为此，本文介绍了在西岸纳布卢斯（Nablus）和杰宁（Jenin）地区进行的一项研究的结果，其中涉及应用有效的数学模型来预测给定地区未来的固体废物产生率和组成。汇总了上述两个省2011-2013年的每月固体废物量，同时收集了数据以识别废物成分。每天产生的固体废物的平均值为0.95 kg / cap / day。推导了七个多变量回归方程和模型，用于估算每月产生的总固体废物及其成分。通过引入适当的指标对结果进行交叉核对，这些指标建立了模型，具有较高的可靠性，并且在预测软件组件方面具有重要意义。所开发模型的结果旨在帮助决策者更好地组织和规划SWM感兴趣的领域，并逐步进行SWM设施的设计和计划，以确保其未来的可持续运营。

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