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

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

沈阳航空航天大学能源与环境学院

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
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- 被引次数: 0
出版历程
- 收稿日期: 2021-09-10
- 录用日期: 2022-01-07
- 网络出版日期: 2022-06-07

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

School of Energy and Environment, Shenyang Aerospace University

摘要

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。
- 城市生活垃圾 /
- ARIMA模型 /
- 产量预测
Abstract:
With the rapid social and economic development around Bohai Region and the significant increase of population, the municipal solid waste (MSW) production has increased year by year, and the pollution caused by it has a significant impacts on the urban development, the environment and the life citizens' lives. Therefore, an accurate prediction of MSW production is very important for subsequent treatment and disposal. Based on this, the current situation of MSW production in ten typical cities around Bohai Sea from 2005 to 2019 was analyzed, and the ARIMA model was established by MATLAB to predict the MSW production in 2020-2024. The prediction results showed that from 2020 to 2024, the growth range and speed of the MSW production of ten typical large cities around Bohai Region were different, but on the whole, the MSW production exhibited an increasing trend from 2020 to 2024, which was consistent with the growth trend of that from 2005 to 2019. The MSW production in the ten cities, Tianjin, Dalian, Yingkou, Panjin, Jinzhou, Huludao, Binzhou, Weifang, Dongying and Yantai in 2024 would be 3 651 600, 2 786 500, 627 300, 303 400, 1 200 500, 498 100, 510 200, 814 100, 887 600 and 1 376 800 tonnes, respectively.
- municipal solid waste /
- ARIMA model /
- production prediction

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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

下载: 全尺寸图片幻灯片

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

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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

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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

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图 5 10个城市残差序列QQ图

Figure 5. Residual sequence QQ diagram of ten cities

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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

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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

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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
2005	144.80	73.00	35.00	16.00	37.00	24.00	38.00	28.00	47.00	37.00
2006	155.20	79.00	31.00	16.00	32.00	11.50	38.00	21.00	40.00	36.00
2007	165.00	79.00	36.00	16.00	32.00	7.00	14.00	20.00	28.00	39.00
2008	173.80	79.00	40.00	16.00	28.00	17.00	16.00	20.00	39.00	38.00
2009	188.30	79.00	46.00	16.00	28.00	21.00	14.00	19.77	24.20	44.43
2010	183.70	80.00	40.00	16.00	32.00	21.00	14.60	18.81	29.00	50.91
2011	189.90	93.00	38.00	21.00	29.00	21.00	16.14	18.93	25.71	54.55
2012	185.80	121.00	33.00	22.00	29.00	22.00	23.40	17.70	37.60	61.60
2013	199.90	122.00	33.00	23.00	29.00	22.00	25.52	22.80	43.96	52.76
2014	215.90	121.00	33.00	22.00	31.00	21.00	23.20	20.80	39.60	54.10
2015	240.70	123.00	28.00	21.00	31.00	25.00	28.00	22.30	7.30	119.90
2016	269.00	130.00	39.00	44.00	30.00	18.00	32.60	27.00	55.40	83.70
2017	306.90	173.00	64.00	21.00	56.00	40.00	28.00	35.80	62.20	82.10
2018	294.80	175.00	61.00	23.00	53.00	37.00	31.60	44.70	68.30	90.70
2019	330.20	238.00	62.00	28.00	55.00	46.00	34.80	43.60	85.70	94.90

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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
2020	279.16	194.39	66.05	27.61	93.44	43.94	35.71	46.60	81.18	112.87
2021	288.39	266.38	63.47	28.29	82.68	46.57	37.77	56.09	83.08	118.01
2022	297.27	211.72	61.72	28.98	88.93	47.21	43.99	70.63	84.97	123.43
2023	334.43	331.92	62.50	29.66	129.02	48.69	47.67	78.03	86.87	130.53
2024	365.16	278.65	62.73	30.34	120.05	49.81	51.02	81.41	88.76	137.68

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参考文献(18)

[1]	王耕, 李优.基于SD模型的城市生活垃圾资源化处理模拟研究: 以大连市为例[J]. 环境工程技术学报,2016,6(5):493-500. doi: 10.3969/j.issn.1674-991X.2016.05.072 WANG G, LI Y. Simulation of municipal solid waste resource recovery based on system dynamics model: the case of Dalian[J]. Journal of Environmental Engineering Technology,2016,6(5):493-500. doi: 10.3969/j.issn.1674-991X.2016.05.072
[2]	王超. 深圳市生活垃圾产生现状及清运量预测研究[D]. 武汉: 华中科技大学, 2011: 1-2.
[3]	旦增, 孟德安, 周文武, 等.西藏班戈县垃圾填埋场环境影响综合分析与评价[J]. 环境工程技术学报,2021,11(1):202-208. doi: 10.12153/j.issn.1674-991X.20200062 DAN Z, MENG D A, ZHOU W W, et al. Comprehensive analysis and evaluation of environmental impact of sanitary landfill in Baingoin County, Tibet[J]. Journal of Environmental Engineering Technology,2021,11(1):202-208. doi: 10.12153/j.issn.1674-991X.20200062
[4]	吴一鸣, 周怡静, 田贺忠, 等.我国城市生活垃圾处理处置全过程大气排放研究进展[J]. 环境科学研究,2018,31(6):991-999. WU Y M, ZHOU Y J, TIAN H Z, et al. Research advances of atmospheric emission from the whole process of municipal solid waste treatment and disposal in China[J]. Research of Environmental Sciences,2018,31(6):991-999.
[5]	刘跃, 陈俊峰, 田玉军, 等.环渤海经济区海域船舶大气污染物排放特征[J]. 环境科学研究,2021,34(3):523-530. LIU Y, CHEN J F, TIAN Y J, et al. Emission characteristics of atmospheric pollutants from ships in sea area around circum-Bohai Sea Economic Zone[J]. Research of Environmental Sciences,2021,34(3):523-530.
[6]	丁湘蓉, 霍维周, 童金义, 等.生活垃圾产量预测实例研究[J]. 环境与可持续发展,2007,32(6):39-42. doi: 10.3969/j.issn.1673-288X.2007.06.014
[7]	穆罕默德·马斯理, 侯浩波, 赵敏.灰色理论在城市生活垃圾量预测中的应用分析[J]. 环境科学与技术,2005,28(3):83-84. doi: 10.3969/j.issn.1003-6504.2005.03.035 MOHANMMED A, HOU H B, ZHAO M. Application of grey theory to prediction of urban garbage amount[J]. Environmental Science and Technology,2005,28(3):83-84. doi: 10.3969/j.issn.1003-6504.2005.03.035
[8]	杨有清, 袁涌铨, 孙杰.青岛市生活垃圾量的关联度分析与灰色模型预测[J]. 中南民族大学学报(自然科学版),2005,24(3):5-8. YANG Y Q, YUAN Y Q, SUN J. Factor analysis and grey model predication of domestic refuse yields in Qingdao City[J]. Journal of South-Central University for Nationalities (Natural Science Edition),2005,24(3):5-8.
[9]	陈文花, 刘常青, 张江山.上海市浦东新区生活垃圾产生量预测及处置对策[J]. 环境卫生工程,2006,14(3):18-20. doi: 10.3969/j.issn.1005-8206.2006.03.006 CHEN W H, LIU C Q, ZHANG J S. Output forecast and treatment countermeasure of domestic waste in Shanghai Pudong New Area[J]. Environmental Sanitation Engineering,2006,14(3):18-20. doi: 10.3969/j.issn.1005-8206.2006.03.006
[10]	舒莹.基于灰色预测模型的合肥市城市生活垃圾产量预测[J]. 环境科学与管理,2007,32(9):5-8. doi: 10.3969/j.issn.1673-1212.2007.09.002 SHU Y. Grey model predication of urban refuse in Hefei City[J]. Environmental Science and Management,2007,32(9):5-8. doi: 10.3969/j.issn.1673-1212.2007.09.002
[11]	赵敏, 范支柬, 孙宇, 等.合肥市生活垃圾清运量的灰色预测及管理建议[J]. 新西部(下半月),2009(7):54.
[12]	陈艺兰, 陈庆华, 张江山.厦门市生活垃圾的灰色预测与分析[J]. 环境科学与技术,2007,30(9):72-74. doi: 10.3969/j.issn.1003-6504.2007.09.025 CHEN Y L, CHEN Q H, ZHANG J S. Grey prediction analysis of household waste in Amoy City[J]. Environmental Science & Technology,2007,30(9):72-74. doi: 10.3969/j.issn.1003-6504.2007.09.025
[13]	姜丽蓉, 李卓, 杨晓芳.基于多种时间预测模型的组合对成都市垃圾生产量的预测[J]. 黑龙江科学,2021,12(6):32-33. doi: 10.3969/j.issn.1674-8646.2021.06.010 JANG R L, LI Z, YANG X F. Prediction of waste production in Chengdu City based on combination of multiple time prediction models[J]. Heilongjiang Science,2021,12(6):32-33. doi: 10.3969/j.issn.1674-8646.2021.06.010
[14]	吴灵玲, 卢加伟, 廖利, 等.基于ARIMA模型的生活垃圾产生量预测[J]. 环境卫生工程,2013,21(5):1-4. doi: 10.3969/j.issn.1005-8206.2013.05.001 WU L L, LU J W, LIAO L, et al. Prediction of domestic waste output based on ARIMA model[J]. Environmental Sanitation Engineering,2013,21(5):1-4. doi: 10.3969/j.issn.1005-8206.2013.05.001
[15]	向维, 杨延梅, 刘俊.重庆市建筑垃圾现状及产生量预测研究[J]. 环境卫生工程,2020,28(4):105-109. XIANG W, YANG Y M, LIU J. Research on present situation and production predict of construction and demolition debris in Chongqing[J]. Environmental Sanitation Engineering,2020,28(4):105-109.
[16]	张敏, 董莉, 刘景洋, 等.基于物质流分析的建筑垃圾产生量预测[J]. 环境工程技术学报,2021,11(5):869-878. doi: 10.12153/j.issn.1674-991X.20210060 ZHANG M, DONG L, LIU J Y, et al. Prediction of construction and demolition waste production based on material flow analysis[J]. Journal of Environmental Engineering Technology,2021,11(5):869-878. doi: 10.12153/j.issn.1674-991X.20210060
[17]	汤岩. 时间序列分析的研究与应用[D]. 哈尔滨: 东北农业大学, 2007.
[18]	CHEN J, DING R F. Stochastic gradient algorithm for a dual-rate Box-Jenkins model based on auxiliary model and FIR model[J]. Journal of Zhejiang University-Science C,2014,15(2):147-152. ⊕ doi: 10.1631/jzus.C1300072