基于整数规划算法的大气排放源优化方案快速效果评估

崔建升; 桑敏捷; 伯鑫; 王鹏; 薛晓达; 郭静; 雷团团; 屈加豹; 王成鑫; 路瑞娟; 李时蓓; 任丽红

doi:10.13205/j.hjgc.202204029

基于整数规划算法的大气排放源优化方案快速效果评估

doi: 10.13205/j.hjgc.202204029

崔建升¹,
桑敏捷¹,
伯鑫^2,3, ,,
王鹏⁴,
薛晓达⁵,
郭静⁵,
雷团团⁶,
屈加豹⁶,
王成鑫⁷,
路瑞娟⁸,
李时蓓⁶,
任丽红⁹

1. 河北科技大学环境科学与工程学院, 石家庄 050018;
2. 北京化工大学环境科学与工程系, 北京 100029;
3. 北京化工大学北化中国工业碳中和研究院, 北京 100029;
4. 中科三清科技有限公司, 北京 100020;
5. 北京航空航天大学经济管理学院, 北京 100191;
6. 生态环境部环境工程评估中心, 北京 100012;
7. 四川大学建筑与环境学院, 成都 610065;
8. 沧州市生态环境保护科学研究院, 河北沧州 061000;
9. 中国环境科学研究院, 北京 100012

基金项目:

国家自然科学基金项目(72174125)

大气重污染成因与治理攻关项目(DQGG0209-07,DQGG0304-07)

国家重点研发计划项目(2019YFE0194500)

欧盟地平线2020项目(870301)

中央高校基本科研业务费(buctrc202133)

详细信息

作者简介:
崔建升(1966-),男,博士,教授,主要从事环境监测技术研究。cui1603@163.com

通讯作者:
伯鑫,教授。boxin@buct.edu.cn

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- 文章访问数: 113
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- 被引次数: 0
出版历程
- 收稿日期: 2021-07-30
- 网络出版日期: 2022-07-06

STUDIES ON CONTRIBUTION DECISION FOR FAST SIMULATION OF AIR POLLUTION SOURCES OPTMIZATION BASED ON INTEGER PROGRAMMING ALGORITHM

1. School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China;
2. Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China;
3. BUCT Institute for Carbon-neutrality of Chinese Industries, Beijing 100029, China;
4. 3Clear Technology Co., Ltd, Beijing 100020, China;
5. School of Economics and Management, Beihang University, Beijing 100191, China;
6. Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China;
7. School of Architecture and Environment, Sichuan University, Chengdu 610065, China;
8. Environmental Protection Science Research Institute of Cangzhou City, Cangzhou 061000, China;
9. Chinese Academy of Environmental Sciences, Beijing 100012, China

摘要

摘要: 基于空气质量模型模拟结果,利用0~1整数规划算法,建立了排放量与污染物环境浓度的多情景快速反应决策模型,实现了大气污染管控目标下大气污染物排放源调整方案的快速决策。以大气环境考核重点关注区域河北省沧州市高速合围区为例,采用AERMOD模拟分析了各排放源一次PM₁₀对国控点贡献排名情况,利用0~1整数规划模型求解了在贡献浓度调整下各排放源组的最优控制方案。结果表明:沧州市高速合围区内颗粒物排放源对国控点的污染浓度贡献中,道路源排放占比最高,其次为非道路移动源;此外,在实现合围区内排放总量调整最小且对国控点(市环保局、沧县城建局、电视转播站站点)贡献浓度均降低至少1.5 μg/m³的目标下,对"新华区省道""运河区土壤扬尘"源组的管控方案达到最优,源组总排放量为791.30 t/a,下降幅度为15.66 t/a,对各国控点年均贡献浓度为7.80,10.09,7.87 μg/m³,分别下降了1.75,2.00,1.52 μg/m³。该方法可实现在既定的大气污染源调整方案下的快速效果评估,并提供最优减排方案。
- 大气污染控制 /
- 辅助决策工具 /
- 0~1整数规划 /
- 源贡献分析
Abstract: Based on the results of the air quality model and the 0~1 integer programming algorithm, the multi-scenario rapid response decision model of emission factors and pollutants’ environmental concentration was established, which realized the rapid decision of the adjustment plan of air pollutant emission sources under the air pollution control target. The model was applied to the high-speed enclosed area of Cangzhou, Hebei. Based on the AERMOD simulation results of atmospheric primary PM₁₀ in 2018, the contribution of each emission source to the national controlled point pollution in the enclosed area was analyzed, and the optimal source group control solution was obtained when the total contribution concentration value was adjusted. The results showed that among the particulate matter emission sources in Cangzhou expressway enclosed area, the contribution of road sources to national controlled points pollution was the highest, followed by non-road mobile sources. In addition, it was optimal to control the source groups of provincial road in Xinhua Distric and soil dust in Yunhe District under the goal of minimizing the total emission in the confined area and reducing the contribution concentration of national control points (Municipal Environmental Protection Bureau Station, Cangxian Urban Construction Bureau Station and TV Transmission Station) by at least 1.5 μg/m³, the total emission of source groups was 791.30 t/a, with a decrease of 15.66 t/a; the average annual contribution concentration of each control point was 7.80 μg/m³, 10.09 μg/m³ and 7.87 μg/m³, decreased by 1.75 μg/m³, 2.00 μg/m³ and 1.52 μg/m³, respectively. This research method realized the rapid effect evaluation under the given air pollution source adjustment plan, and gave the optimal emission reduction plan.
- air pollution control /
- decision support tool /
- 0~1 integer programming /
- source contribution analysis

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参考文献(40)

[1]	刘潘炜,郑君瑜,李志成,等.区域空气质量监测网络优化布点方法研究[J].中国环境科学, 2010,30(7):907-913.
[2]	但扬彬,胡恭任,卞雅慧,等.漳州大气PM_2.5污染特征与区域传输影响分析[J].地球与环境,2021,49(2):134-146.
[3]	薛亦峰,周震,黄玉虎,等.北京市建筑施工扬尘排放特征[J].环境科学, 2017, 38(6):2231-2237.
[4]	刘潘炜,郑君瑜,李志成,等.区域空气质量监测网络优化布点方法研究[J].中国环境科学, 2010,30(7):907-913.
[5]	张楚莹,王书肖,赵瑜,等.中国人为源颗粒物排放现状与趋势分析[J].环境科学, 2009, 30(7):1881-1887.
[6]	吴文景,常兴,邢佳,等.京津冀地区主要排放源减排对PM_2.5污染改善贡献评估[J].环境科学, 2017, 38(3):867-875.
[7]	XING J, ZHANG Y, WANG S X, et al. Modeling study on the air quality impacts from emission reductions and atypical meteorological conditions during the 2008 Beijing Olympics[J]. Atmospheric Environment, 2011,45(10):1786-1798.
[8]	汤铃,薛晓达,伯鑫,等.中国钢铁行业大气环境影响[J].环境科学, 2020, 41(7):2981-2994.
[9]	刘健,潘良宝.区域大气环境容量与基础工业布局研究:以镇江为例[J].长江流域资源与环境, 1994(4):304-312.
[10]	程念亮,李云婷,张大伟,等. 2013年1月北京市一次空气重污染成因分析[J].环境科学, 2015, 36(4):1154-1163.
[11]	FOLEY K M,NAPELENOK S L,JANG C, et al. Two reduced form air quality modeling techniques for rapidly calculating pollutant mitigation potential across many sources, locations and precursor emission types[J]. Atmospheric Environment, 2014,98:283-289.
[12]	刘得守,李景,苏筱倩,等.基于CAMx-OSAT方法的西宁臭氧来源解析[J].环境科学学报, 2021,41(2):386-394.
[13]	XU H, ZHU Y, WANG L, et al. Source contribution analysis of mercury deposition using an enhanced CALPUFF-Hg in the central Pearl River Delta, China[J]. Environmental Pollution, 2019,250(7):1032-1043.
[14]	劳苑雯,朱云,CAREY J,等.基于响应面模型的区域大气污染控制辅助决策工具研发[J].环境科学学报, 2012,32(8):1913-1922.
[15]	邢佳,王书肖,朱云,等.大气污染防治综合科学决策支持平台的开发及应用[J].环境科学研究, 2019,32(10):1713-1719.
[16]	肖杨,毛显强,马根慧,等.基于ADMS和线性规划的区域大气环境容量测算[J].环境科学研究, 2008,21(3):13-16.
[17]	梁泽,王玥瑶,岳远紊,等.耦合遗传算法与RBF神经网络的PM_2.5浓度预测模型[J].中国环境科学, 2020,40(2):523-529.
[18]	刘品高,江南,余瑶,等.基于遗传算法的大气污染总量控制新方法[J].环境污染与防治, 2007,29(3):233-237.
[19]	范绍佳,黄志兴,刘嘉玲.大气污染物排放总量控制A-P值法及其应用[J].中国环境科学, 1994,14(6):407-410.
[20]	杨丹丹,王体健,李树,等.基于空气质量模型和遗传算法的城市PM_2.5双目标控制策略优化[J/OL].中国环境科学:1-14[2021-09-18 ].https://doi.org/10.19674/j.cnki.issn1000-6923.20210331.012.
[21]	杨再东,朱云,陶谨,等.基于曲面响应建模的PM_2.5可控人为源贡献解析[J].环境科学学报,2018,38(10):3877-3887.
[22]	方叠,钱跃东,王勤耕,等.区域复合型大气污染调控模型研究[J].中国环境科学,2013,33(7):1215-1222.
[23]	朱云,王书肖, LIN C J,等,大气汞污染模拟研究进展及控制策略优化方法[J].环境科学,2011,32(6):1851-1856.
[24]	WILLIAMS H P. Logic and Integer Programming[M].New York:Springer-Verlag, 2009.
[25]	陈传军,于宪荣,王延安,等.基于0~1整数规划模型的水坝选址问题[J].烟台大学学报(自然科学与工程版), 2018, 31(1 ):1-5.
[26]	张惠珍,魏欣,马良.求解0~1线性整数规划问题的有界单纯形法[J].运筹学学报, 2014,18(3):71-78.
[27]	沧州市人民政府.关于印发《沧州市打赢蓝天保卫战三年行动方案》的通知[EB/OL]. 2018, http://www.hb.cangzhou.gov.cn/zwsx/dqwrfc/607045.shtml.
[28]	沧州市大气污染防治工作领导小组办公室.关于进一步加强中心城区高速合围区移动污染源管控工作的通知[EB/OL]. 2019, http://www.zjj.cangzhou.gov.cn/aqjd/tzgg/691395.shtml.
[29]	生态环境部.环境影响评价技术导则大气环境:HJ 2.2-2018[S].北京:中国环境出版社,2018.
[30]	崔磊,屈加豹,王鹏,等.火电企业超低排放改造对沧州市主城区大气环境影响研究[J].环境与发展,2020,32(9):16-18 ,20.
[31]	伯鑫,杨朝旭,马岩,等.基于空气质量模型AERMOD的城市钢铁厂优化布局研究[C]//中国环境科学学会,2019:5.
[32]	王珮玮,杨道源,吴潇萌,等.基于AERMOD线源模式的城市路网一次PM_2.5排放扩散特征研究[J].环境科学学报,2018,38(7):2728-2734.
[33]	国家气象信息中心.中国地面气象站逐小时观测资料[EB/OL]. http://www.nmic.cn/dataService/cdcindex/datacode/A.0012.0001/show_value/normal.html.
[34]	SKAMAROCK W C, KLEMP J B. A time-split nonhydrostatic atmospheric model for weather research and forecasting applications[J]. Journal of Computational Physics, 2008, 227(7):3465-3485.
[35]	AFZALI A, RASHID M, AFZALI M, et al. Prediction of air pollutants concentrations from multiple sources using AERMOD coupled with WRF prognostic model[J]. Journal of Cleaner Production, 2017,166:1216-1225.
[36]	美国国家环境预报中心.全球对流层再分析资料[EB/OL]. https://rda.ucar.edu/datasets/ds083.2/index.html#!description.
[37]	美国地质勘探局.全球地形高程数据[EB/OL]. https://srtm.csi.cgiar.org/srtmdata/.
[38]	伯鑫,王刚,田军,等. AERMOD模型地表参数标准化集成系统研究[J].中国环境科学, 2015, 35(9):2570-2575.
[39]	雷团团.沧州市大气污染源排放清单及环境影响研究[D].石家庄:河北科技大学,2019.
[40]	生态环境部.大气重污染成因与治理攻关项目:沧州市驻点跟踪研究报告[R].北京:生态环境部, 2020.