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基于ARIMA模型的环渤海典型城市生活垃圾产量预测研究

张万里 郑永浩 邢万丽 李润东

张万里,郑永浩,邢万丽,等.基于ARIMA模型的环渤海典型城市生活垃圾产量预测研究[J].环境工程技术学报,2022,12(3):861-868 doi: 10.12153/j.issn.1674-991X.20210496
引用本文: 张万里,郑永浩,邢万丽,等.基于ARIMA模型的环渤海典型城市生活垃圾产量预测研究[J].环境工程技术学报,2022,12(3):861-868 doi: 10.12153/j.issn.1674-991X.20210496
ZHANG W L,ZHENG Y H,XING W L,et al.Prediction of municipal solid waste production of typical cities around Bohai Region based on ARIMA model[J].Journal of Environmental Engineering Technology,2022,12(3):861-868 doi: 10.12153/j.issn.1674-991X.20210496
Citation: ZHANG W L,ZHENG Y H,XING W L,et al.Prediction of municipal solid waste production of typical cities around Bohai Region based on ARIMA model[J].Journal of Environmental Engineering Technology,2022,12(3):861-868 doi: 10.12153/j.issn.1674-991X.20210496

基于ARIMA模型的环渤海典型城市生活垃圾产量预测研究

doi: 10.12153/j.issn.1674-991X.20210496
基金项目: 国家重点研发计划项目(2019YFC1903901)
详细信息
    作者简介:

    张万里(1988—),男,教授,博士,主要从事固体废物污染控制与资源化利用研究,zhangwanli@sau.edu.cn

  • 中图分类号: X705

Prediction of municipal solid waste production of typical cities around Bohai Region based on ARIMA model

  • 摘要:

    随着环渤海地区社会经济的快速发展,人口大幅增加,生活垃圾产量逐年递增,其造成的污染对城市发展和环境以及市民生活产生重大影响,准确预测生活垃圾产量对其后续处理与处置至关重要。对2005—2019年环渤海10个典型城市(天津、大连、营口、盘锦、锦州、葫芦岛、滨州、潍坊、东营、烟台)生活垃圾产量现状进行分析,并通过MATLAB软件建立差分自回归移动平均(ARIMA)模型对2020—2024年城市生活垃圾产量进行预测。结果表明:2020—2024年,环渤海10个典型城市生活垃圾产量增长幅度和速度各不相同,但总体来看生活垃圾产量均呈增长趋势,与2005—2019年城市生活垃圾产量呈较为一致的增长趋势;2024年,天津、大连、营口、盘锦、锦州、葫芦岛、滨州、潍坊、东营、烟台10个典型城市生活垃圾产量分别为365.16万、278.65万、62.73万、30.34万、120.05万、49.81万、51.02万、81.41万、88.76万和137.68万t/a。

     

  • 图  1  10个城市生活垃圾清运量原始数据时间序列

    Figure  1.  Time series diagram of original data of MSW production of ten cities

    图  2  10个城市原始序列自相关函数

    注:数据序列1是由程序计算得出的相关函数,数据序列2、3、4是自相关系数的界限。下同。

    Figure  2.  Original sequence autocorrelation diagram of ten cities

    图  3  10个城市差分序列自相关函数

    Figure  3.  Difference sequence autocorrelation function diagram of ten cities

    图  4  10个城市差分序列偏自相关函数

    Figure  4.  Difference sequence partial autocorrelation function diagram of ten cities

    图  5  10个城市残差序列QQ图

    Figure  5.  Residual sequence QQ diagram of ten cities

    图  6  10个城市残差序列自相关函数

    Figure  6.  Residual sequence autocorrelation function diagram of ten cities

    图  7  10个城市残差序列偏自相关函数

    Figure  7.  Residual sequence partial autocorrelation function diagram of ten cities

    表  1  2005—2019年环渤海典型大城市生活垃圾清运量

    Table  1.   MSW production of typical large cities around Bohai Sea from 2005 to 2019 万t/a

    年份天津大连营口盘锦锦州葫芦岛滨州东营潍坊烟台
    2005144.8073.0035.0016.0037.0024.0038.0028.0047.0037.00
    2006155.2079.0031.0016.0032.0011.5038.0021.0040.0036.00
    2007165.0079.0036.0016.0032.007.0014.0020.0028.0039.00
    2008173.8079.0040.0016.0028.0017.0016.0020.0039.0038.00
    2009188.3079.0046.0016.0028.0021.0014.0019.7724.2044.43
    2010183.7080.0040.0016.0032.0021.0014.6018.8129.0050.91
    2011189.9093.0038.0021.0029.0021.0016.1418.9325.7154.55
    2012185.80121.0033.0022.0029.0022.0023.4017.7037.6061.60
    2013199.90122.0033.0023.0029.0022.0025.5222.8043.9652.76
    2014215.90121.0033.0022.0031.0021.0023.2020.8039.6054.10
    2015240.70123.0028.0021.0031.0025.0028.0022.307.30119.90
    2016269.00130.0039.0044.0030.0018.0032.6027.0055.4083.70
    2017306.90173.0064.0021.0056.0040.0028.0035.8062.2082.10
    2018294.80175.0061.0023.0053.0037.0031.6044.7068.3090.70
    2019330.20238.0062.0028.0055.0046.0034.8043.6085.7094.90
    下载: 导出CSV

    表  2  2020—2024年环渤海10个典型城市生活垃圾产量预测

    Table  2.   Forecast data of MSW production in typical cities around Bohai Sea from 2020 to 2024 万t/a

    年份天津大连营口盘锦锦州葫芦岛滨州东营潍坊烟台
    2020279.16194.3966.0527.6193.4443.9435.7146.6081.18112.87
    2021288.39266.3863.4728.2982.6846.5737.7756.0983.08118.01
    2022297.27211.7261.7228.9888.9347.2143.9970.6384.97123.43
    2023334.43331.9262.5029.66129.0248.6947.6778.0386.87130.53
    2024365.16278.6562.7330.34120.0549.8151.0281.4188.76137.68
    下载: 导出CSV
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  • 收稿日期:  2021-09-10
  • 录用日期:  2022-01-07
  • 网络出版日期:  2022-06-07

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