基于大数据分析的废旧塑料利用率算法

Utilization rate algorithm of waste plastics based on big data analysis

概述了我国废旧塑料再生利用现状及应用领域,通过大数据回归分析建立了废旧塑料利用率的算法模型,测算我国2009—2019年的废旧塑料利用率。2009—2014年,废旧塑料利用率从12.0%升至16.0%,2015—2019年略微下降。2009—2015年,塑料回收利用量持续增长,2016年,回收利用量有所下降,2017—2018年增长较快,2019年较2018年有小幅增长,从2018年的9.16 Mt增加到2019年的9.45 Mt。塑料再生资源比例系数对计算结果的影响幅度最大,在-2.65%~2.51%波动。塑料再生资源比例系数的不确定性影响由大到小依次为聚乙烯、聚氯乙烯、聚丙烯、聚苯乙烯、丙烯腈-丁二烯-苯乙烯共聚物。

The recycling and application fields of waste plastics in China were summarized.The utilization rate algorithm of waste plastics was established via big data analysis,which was used to calculate the utilization of waste plastics in China from 2009 to 2019.The plastic recycling rate increased from 12.0% to 16.0% from 2009 to 2014 and decreased slightly from 2015 to 2019.The amount of plastic recycling in China continued to grow from 2009 to 2015 while decreased in 2016.From 2017 to 2018,the amount of plastic recycling increased rapidly and increased from 9.16 Mt to 9.45 Mt within 2018 to 2019.The proportion coefficient of plastic renewable resources contribute the most to the calculation results,fluctuating from -2.65% to 2.51%.The uncertainty of the proportion coefficient of plastic renewable resources is as follows:polyethylene>polyvinyl chlo ride>polypropylene>polystyrene>acrylonitrile-butadiene-styrene.