Calculation of maximum allowable increased PM2.5 emissions based on environmental benefit balance of emission increases and reductions in industrial parks and surrounding areas

LU Cheng-wei, LU Hui, YANG Xin-yue, SONG Dan-lin, ZHU Yi-ping, BAO Wen-yi, SHE Rui, ZHANG Zi-jian, HUANG Lan-yi, ZHAO Bin

China Environmental Science ›› 2026, Vol. 46 ›› Issue (3) : 1256-1263.

PDF(1480 KB)
PDF(1480 KB)
China Environmental Science ›› 2026, Vol. 46 ›› Issue (3) : 1256-1263.
Air Pollution Control

Calculation of maximum allowable increased PM2.5 emissions based on environmental benefit balance of emission increases and reductions in industrial parks and surrounding areas

  • LU Cheng-wei1, LU Hui2, YANG Xin-yue1, SONG Dan-lin1, ZHU Yi-ping2, BAO Wen-yi2, SHE Rui3, ZHANG Zi-jian4, HUANG Lan-yi5, ZHAO Bin1
Author information +
History +

Abstract

To investigate the correlation between emissions and environmental quality in industrial parks, thereby achieving refined management and control constrained by the environmental quality baseline, this paper proposes a comprehensive method for determining the maximum allowable emission increments in industrial parks based on the dynamic equilibrium of PM2.5 concentration impacts. The approach balances emission reductions in surrounding buffer zones against increased emissions within the parks, creating development space through emission mitigation in peripheral areas. Case studies were conducted in industrial parks of Tianfu, Shuangliu, and Longquan district, Chengdu. Evaluations demonstrate that buffer zone emission reductions lowered PM2.5 concentrations in park stations by 2.6, 1.7, and 2.1μg/m3, respectively. Based on current and target concentrations at park stations, the maximum allowable concentration increases were calculated as 1.9, 1.5, and 2.3μg/m3. Derived from simulated PM2.5 concentrations and sequential emission increments, the composite response functions quantified the maximum allowable emission increases at 21.5, 73.7, and 200.1t, respectively. Emission reduction and increasing balance verifications showed that implementing these maximum increments resulted in concentration changes of -0.18, -0.44, and -2.50μg/m3 at control stations, confirming no deterioration of air quality. This methodology provides a novel approach for refined park management, enabling industrial development through peripheral emission reductions without compromising environmental quality, thereby creating sustainable growth space for industrial parks.

Key words

CMAQ / maximum allowable increased emissions / industrial park emission decreasing-increasing balance / PM2.5

Cite this article

Download Citations
LU Cheng-wei, LU Hui, YANG Xin-yue, SONG Dan-lin, ZHU Yi-ping, BAO Wen-yi, SHE Rui, ZHANG Zi-jian, HUANG Lan-yi, ZHAO Bin. Calculation of maximum allowable increased PM2.5 emissions based on environmental benefit balance of emission increases and reductions in industrial parks and surrounding areas[J]. China Environmental Science. 2026, 46(3): 1256-1263

References

[1] 马光,胡仁禄.城市规划中应用环境容量模型的研究 [J]. 东南大学学报, 1999,(1):84-88. Ma G, Hu R L. A preliminary study on the model of environmental capacity in urban planning [J]. Journal of Southeast University, 1999, 29(1):82-86.
[2] 郝吉明,许嘉钰,吴剑,等.我国京津冀和西北五省(自治区)大气环境容量研究 [J]. 中国工程科学, 2017,19(4):13-19. Hao J M, Xu J Y, Wu J, et al. A study of the atmospheric environmental capacity of Jingjinji and of the five northwestern provinces and autonomous regions in China [J]. Engineering, 2017, 19(4):13-19.
[3] 李文慧,陈洁,王繁强,等.基于修正A值法的西安市大气环境容量与剩余容量估算 [J]. 安全与环境工程, 2013,20(4):71-75. Li W H, Chen J, Wang F Q, et al. Estimation of the Atmospheric Environmental Capacity and RemainingCapacity in Xi'an City Based on Amending A-value Method [J]. Safety and Environment Engineering, 2013,20(4):71-75.
[4] 郭毅,杨雅媚.基于修正A值法估算西安市大气环境容量研究 [J]. 环境科学与管理, 2014,39(2):69-71. Guo Y, Yang Y M. Estimation of environmental atmosphere bearing capacity of Xi'an city with A-value method [J]. Environmental Science and Management, 2014,39(2):69-71.
[5] 李蕊,黄玮,李蒙.云南大气环境容量系数变化特征及未来变化趋势预估 [J]. 气象与环境科学, 2023,46(1):73-81. Li R, Huang W, Li M. variation characteristics and trend prediction of the atmospheric environmental capacity coefficient in Yunnan province [J]. Meteorological and Environmental Sciences, 2023,46(1): 73-81.
[6] 沈梦兰,李静,韩龙,等.基于修正A值法的阿拉善高新技术产业开发区大气环境容量测算与分析 [J]. 中国环境监测, 2025,41(1): 201-205. Shen M L, Li J, Han L, et al. Calculation and analysis of atmospheric environmental capacity in alashan high-tech industrial development zone based on modified A-value method [J]. Environmental monitoring in China, 2025,41(1):201-205.
[7] 孟凡,李时蓓.大气环境容量理论的再思考和总量控制 [J]. 环境科学研究, 2021,34(7):1583-1591. Meng F, Li S B.Revisiting atmospheric environmental capacity theory and emission cap [J]. Research of Environmental Sciences, 2021,34(7): 1583-1591.
[8] 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. Fan S J, Huang Z X, Liu J L.The A-P value method for the control of total atmospheric pollutant emission and its application [J]. China Environmental Science, 1994,14(6):407-410.
[9] 马小明,李诗刚,栾胜基,等.大气污染总量控制方案的区域排放当量制定方法 [J]. 中国环境科学, 1996,16(5):350-353. Ma X M, Li S G, Luan S J, et al. Using area pollutant emission equimolar concept to formulate total atmospheric pollutant emission control plan [J]. China Environmental Science, 1996,16(5):350-353.
[10] 徐鹤,丁洁,冯晓飞.基于ADMS-Urban的城市区域大气环境容量测算与规划 [J]. 南开大学学报(自然科学版), 2010,43(4):67-72. Xu H, Ding J, Feng X F. Calculation and programming of regional atmospheric environmental capacity based on ADMS-urban model [J]. Acta Scientiarum Naturalium Universitatis Nankaiensis, 2010,43(4): 67-72.
[11] 卢聪景,石晓枫.线性规划法计算工业区大气承载力的探讨 [J]. 环境科学与技术, 2008,(10):142-144. Lu C J, Shi X F. Discussion on linear programming method for calculating atmosphere bearing capacity of an Industrial Park [J]. Environmental Science & Technology, 2008,(10):142-144.
[12] 顾晨,王佳欣,吕沛诚,等.兰州市3种主要污染物大气环境容量季节差异及排放总量控制 [J]. 兰州大学学报(自然科学版), 2021, 57(3):302-310,317. Gu C, Wang J X, Lv P C, et al. Seasonal variations in atmospheric environmental capacity and total quantity control for three criteria pollutants in Lanzhou [J]. Journal of Lanzhou University(Natural Sciences), 2021,57(3):302-310,317.
[13] 李莉,程水源,陈东升,等.基于CMAQ的大气环境容量计算方法及控制策略 [J]. 环境科学与技术, 2010,33(8):162-166. Li L, Cheng S Y, Chen D S, et al. A calculated methodology of atmospheric environmental capacity based on CMAQ and control strategy [J]. Environmental Science & Technology, 2010,33(8):162- 166.
[14] 薛文博,付飞,王金南,等.2014年全国城市PM2.5达标约束的大气环境容量模拟 [J]. 中国环境科学, 2014,34(10):2490-2496. Xue W B, Fu F, Wang J N, et al. Modeling study on atmospheric environmental capacity of major pollutants constrained by PM2.5 compliance of Chinese cities [J]. China Environmental Science, 2014, 34(10):2490-2496.
[15] 常嘉成,赵天良,谭成好,等.基于WRF-chem模拟的玉溪市大气环境容量精细估算 [J]. 环境科学学报, 2017,37(10):3876-3884. Chang J C, Zhao T L, Tan C H, et al. An elaboraive assessment of atmosphere environmenal capacity in Yuxi based on WRF.Chem modeling [J]. Acta Scientiae Circumstantiae, 2017,37(10):3876-3884.
[16] 钱骏,何敏,陈军辉,等.基于区县细颗粒物达标约束的四川盆地城市群大气环境容量模拟研究 [J]. 环境污染与防治, 2022,44(6): 699-704. Qian J, He M, Chen J H, et al. Simulation of atmospheric environmental capacity of urban agglomeration in Sichuan Basin constrained by fine particulatematter compliance of distriets and counties [J]. Environmental Pollution & Control, 2022,44(6):699-704.
[17] 张明博,高照琴,于梓涵,等.环境质量目标约束下产业园区污染物排放量动态管控研究 [J]. 环境影响评价, 2025,47(01):24-29,55. Zhang M B, Gao Z Q, Yu Z H, et al. Dynamic control of pollutant emissions for industrial parks under the constraints of environmental quality objectives [J]. Environmental Impact Assessment, 2025,47(1): 24-29,55.
[18] 陆成伟,谭钦文,杨欣悦,等.基于CMAQ模型的快速大气环境容量测算方法、存储介质和终端:201811326127.7 [P]. 2020-04-07. Lu C W, Tang Q W, Yang X Y, et al. Fast atmospheric environmental capacity calculation method based on CMAQ model, storage medium and terminal: 201811326127.7 [P]. 2020-04-07.
[19] 周子航,邓也,谭钦文,等.四川省人为源大气污染物排放清单及特征 [J]. 环境科学, 2018,39(12):5344-5358. Zhou Z H, Deng Y, Tan Q W, et al. Emission inventory and characteristics of anthropogenic air pollutant sources in the Sichuan province [J]. Environmental Science, 2018,39(12):5344-5358.
[20] 周子航,邓也,谭钦文,等.四川省人为源挥发性有机物组分清单及其臭氧生成潜势 [J]. 环境科学, 2019,40(4):1613-1626. Zhou Z H, Deng Y, Tan Q W, et al. Speciated VOCs emission inventory and ozone formation potential in Sichuan province [J]. Environmental Science, 2019,40(4):1613-1626.
[21] 周子航,陆成伟,谭钦文,等.成都双流国际机场大气污染物排放清单与时空分布特征 [J]. 中国环境监测, 2018,34(3):75-83. Zhou Z H, Lu C W, Tan Q W, et al. Emission inventory and spatial and temporal distribution characteristics of air pollutant in Chengdu Shuangliu international airport [J]. Environmental Monitoring in China, 2018,34(3):75-83.
[22] Zhou Z H, Tan Q H, Deng Y, et al. Compilation of emission inventory and source profile database for volatile organic compounds: A case study for Sichuan, China [J]. Atmos. Pollut. Res., 2020,11:105–116.
[23] Feng M, Hu X, Zhou L, et al. Real-World vehicle volatile organic compound emissions and their source profile in Chengdu based on a roadside and tunnel study [J]. Atmosphere, 2021,12,861.
[24] Zhou Z H; Tan Q W, Deng Y, Wu K Y, et al. Emission inventory of anthropogenic air pollutant sources and characteristics of VOCs species in Sichuan Province, China [J]. J. Atmos. Chem, 2019,76:21– 58.
[25] 金晨阳,陈军辉,范武波,等.机动车尾气排放模型应用及研究进展 [J]. 环境科学导刊, 2020,39(2):42-48. Jin C Y, Chen J H, Fan W B, et al. Application and research progress of vehicle emission models [J]. Environmental Science Survey, 2020,39(2):42-48.
[26] 徐晨曦,陈军辉,李媛,等.四川省基于第二次污染源普查数据的人为源大气污染源排放清单及特征 [J]. 环境科学, 2020,41(10): 4482-4494. Xu C X, Chen J H, Li Y, et al. Emission inventory and characteristics of anthropogenic air pollution sources based on second pollution source census data in Sichuan province [J]. Environmental Science, 2020,41(10):4482-4494.
[27] 王继钦,陈军辉,韩丽,等.四川省加油站挥发性有机物排放及控制现状 [J]. 环境污染与防治, 2020,42(6):672-677. Wang J Q, Chen J H, Han L, et al. Emission and control of volatile organic compounds in service stations in Sichuan [J]. Environmental Pollution & Control, 2020,42(6):672-677.
[28] 冯小琼,陈军辉,姜涛,等.四川盆地2018年畜禽养殖氨排放清单研究 [J]. 四川环境, 2020,39(5):24-31. Feng X Q, Chen J H, Jiang T, et al. Study on livestock ammonia emission inventory of Sichuan basin in 2018 [J]. Sichuan Environment, 2020,39(5):24-31.
[29] Zheng B, Zhang Q, Tong D, et al. Resolution dependence of uncertainties in gridded emission inventories: a case study in Hebei, China [J]. Atmos. Chem. Phys., 2017,17(2):921-933.
[30] Zheng B, Cheng J, Geng G N, et al. Mapping anthropogenic emissions in China at 1km spatial resolution and its application in air quality modeling [J]. Science Bulletin, 2021,66(6):612-620.
[31] Lu C W, Zhou Z H, Liu H F, et al. An iteratively optimized downscaling method for city-scale air quality forecast emission inventory establishment [J]. Science of The Total Environment, 2024, 176824.https://doi.org/10.1016/j.scitotenv.2024.176824.
[32] 陆成伟,周子航,刘合凡,等.基于动态模型的四川盆地植物挥发性有机物排放 [J]. 环境化学, 2018,37(4):836-842. Lu C W, Zhou Z H, Liu H F, et al. Emission of biogenic volatile organic compounds in Sichuan Basin using a dynamic model [J]. Environmental Chemistry, 2018,37(4):836-842.
[33] 张恬月,杨欣悦,谭钦文,等.成都市空气质量预报系统的应用及预报效果评估 [J]. 四川环境, 2019,38(3):96-105. Zhang T Y, Yang X Y, Tan Q W, et al, Application of Chengdu air quality forecast system and evaluation of forecast effect [J]. Sichuan Environment, 2019,38(3):96-105.
[34] 杨欣悦,谭钦文,陆成伟,等.基于CFSv2的延伸期空气质量数值预报技术及效果评估 [J]. 中国环境监测, 2021,37(5):175-184. Yang X Y, Tan Q W, Lu C W, et al. Numerical prediction technology and effect evaluation of extended period air quality based on CFSv2 [J]. Environmental Monitoring in China, 2021,37(5):175-184.
[35] Skamarock W C, Klemp J B, Dudhia J, et al. A description of the advanced research WRF version 3 [Z]. NCAR Tech. Note, 2008,475, 113.
[36] 赵芝灏.”三线一单”及工业园区规划环评分析 [J]. 中国资源综合利用, 2021,39(5):150-152,162. Zhao Z H. Analysis on “Three Lines and One Order” and environmental impact assessment of industrial park planning [J]. China Resources Comprehensive Utilization, 2021,39(5):150-152, 162.
[37] 董红召,廖世凯,杨强,等.集成AEC和时空特征的工业园区PM2.5浓度预测 [J]. 中国环境科学, 2022,42(10):4537-4546. Dong H Z, Liao S K, Yang Q, et al. PM2.5 concentration prediction in industrial parks integrating AEC and spatio-temporal characteristics [J]. China Environmental Science, 2022,42(10):4537-4546.
PDF(1480 KB)

Accesses

Citation

Detail

Sections
Recommended

/