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A Fourier series model for forecasting solid waste generation in the Kumasi metropolis of Ghana

机译：加纳Kumasi Metropolis中固体废物产生的傅里叶系列模型

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Successful planning of a solid waste management system depends on the accuracy of prediction of solid waste generation. With a continual economic development and increase in the living standards, the demand for goods and services is increasing at an unprecedented rate, resulting in a commensurate increase in per capita waste generation. In order to facilitate informed decision making for effective solid waste management, we propose a Fourier series model to forecast solid waste generation in Kumasi, Ghana. A monthly solid waste data from 2007 to 2014 was obtained from the solid waste department of the Kumasi Metropolitan Assembly, Ghana. This was used to formulate the Fourier series model for forecasting solid waste. This approach incorporates the characteristics of the data making them more appropriate for forecasting solid waste. It was found that out of the 84 periods considered in the Fourier series model, period 42 was the best model for forecasting solid waste generation. The 1 year monthly forecast revealed that the generation of solid waste will increase as a result of the high rate of urbanization and population growth.
机译：成功规划固体废物管理系统取决于固体废物产生预测的准确性。由于持续的经济发展和生活水平的增加，货物和服务的需求以前所未有的速度增加，导致人均废物产生的相应增加。为了促进明智的决策，为有效的固体废物管理，我们提出了一个傅里叶系列模型，以预测Kumasi，加纳的固体废物发电。 2007年至2014年的每月固体废物数据是从加纳的Kumasi Metropolitan大会的固体废物系获得。这用于制定傅立叶系列模型，用于预测固体废物。该方法包括数据的特征，使其更适合预测固体废物。结果发现，在傅立叶系列模型中考虑的84个时期，期间42是预测固体废物产生的最佳模型。每月一年的预测显示，由于城市化和人口增长的高速度，固体废物的产生将增加。

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