Local adaptation of hourly allocation coefficients for VOCs emissions from oil depots and calculation of atmospheric environmental protection distances

MA Lingyun; TONG Jilong; LIU Yongle; GAO Qingjun; ZHANG Xuezhi

doi:10.13205/j.hjgc.202605018

Volume 44 Issue 5

May 2026

Turn off MathJax

Article Contents

Article Navigation > ENVIRONMENTAL ENGINEERING > 2026 > 44(5): 179-184

MA Lingyun, TONG Jilong, LIU Yongle, GAO Qingjun, ZHANG Xuezhi. Local adaptation of hourly allocation coefficients for VOCs emissions from oil depots and calculation of atmospheric environmental protection distances[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(5): 179-184. doi: 10.13205/j.hjgc.202605018

Citation:

MA Lingyun, TONG Jilong, LIU Yongle, GAO Qingjun, ZHANG Xuezhi. Local adaptation of hourly allocation coefficients for VOCs emissions from oil depots and calculation of atmospheric environmental protection distances[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(5): 179-184. doi: 10.13205/j.hjgc.202605018

Citation:

MA Lingyun, TONG Jilong, LIU Yongle, GAO Qingjun, ZHANG Xuezhi. Local adaptation of hourly allocation coefficients for VOCs emissions from oil depots and calculation of atmospheric environmental protection distances[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(5): 179-184. doi: 10.13205/j.hjgc.202605018

PDF( 1213 KB)

Local adaptation of hourly allocation coefficients for VOCs emissions from oil depots and calculation of atmospheric environmental protection distances

doi: 10.13205/j.hjgc.202605018

1. College of Atmospheric Science, Lanzhou University, Lanzhou 730000, China;
2. Safety and Environmental Protection Department, PetroChina Lanzhou Petro-Chemical Industry Company, Lanzhou 730000, China

Received Date: 2025-07-04
Available Online: 2026-06-06

Abstract

Abstract

To address the issue that the existing temporal emission allocation coefficients for oil storage， transportation， and sales sources struggle to adapt to the temperature variation characteristics in regions with distinct four seasons， this study took a large oil depot in Northwest China as the research object. A method for establishing VOCs temporal emission allocation coefficients that accounted for temperature changes was proposed， revealing the dynamic response relationship between VOCs emissions from oil depots and temperature variations. Based on this dynamic emission pattern， the atmospheric environmental protection distance was calculated and compared with that obtained using the traditional method based on constant emission source strength. The findings indicated that the proposed method for calculating time-dependent emission coefficients of VOCs in oil depots considering temperature variations demonstrated distinct patterns across different temperature ranges. A positive correlation was observed between ambient temperature and VOCs emission coefficients in these facilities. The coefficient reached its maximum value of 0.068 when temperatures exceeded 14 ℃， while it dropped to a minimum of 0.007 at temperatures below 8.5 ℃. Notably， daily VOCs emissions from oil storage facilities in summer were significantly higher than those in other seasons， with summer total emissions approximately 8.68 times greater than winter levels—a finding that aligned more closely with local environmental realities. In contrast， the conventional calculation method， which assumes a constant emission source strength， tends to obscure peak simulated concentrations， leading to an underestimation of the atmospheric environmental protection distance. This underestimation poses potential risks to the health and safety of residents near oil depots.
- large oil depots,
- volatile organic compounds （VOCs）,
- time allocation coefficient,
- atmospheric environmental protection distance

FullText(HTML)

References(16)

References

[1]	WANG Y J，JI Z，XIE Q，et al. Study on influencing factors of VOCs emissions during gasoline storage process［J］. Journal of Environmental Engineering Technology，2021，11（3）：523- 529. 王燕军，吉喆，谢琼，等. 汽油存储过程VOCs排放影响因素研究［J］. 环境工程技术学报，2021，11（3）：523- 529.
[2]	Ministry of Ecology and Environment of the People's Republic of China. Technical guidelines for environmental impact assessment—atmospheric environment：HJ 2.2—2018［S］. Beijing：China Environmental Publishing Group，2018. 中华人民共和国生态环境部. 环境影响评价技术导则大气环境：HJ 2.2—2018［S］. 北京：中国环境出版集团，2018.
[3]	WEI Y，QIU H Y. Decadal prediction skill of warming and wetting in northwest China and evaluation of its sources［J/OL］. Earth Science，2024，49（8）：2987- 3010［ 2026-02-24］. 魏韵，邱惠宇. 我国西北暖湿化的年代际预测技巧及其来源评估［J/OL］. 地球科学，2024，49（8）：2987- 3010［ 2026-02-24］.
[4]	Chinese Society for Environmental Sciences. Technical guideline for compiling urban air pollution emission inventory：T/CSES 144—2024［S］. Beijing：Chinese Society for Environmental Sciences，2024. 中国环境科学学会. 城市大气污染源排放清单编制技术指南：T/CSES 144—2024［S］. 北京：中国环境科学学会，2024.
[5]	ZHAO W，FAN S J，XIE W Z. Comparative study on flue gas diffusion simulation of coastal power plants by AERMOD and CALPUFF［J］. Environmental Science & Technology，2015，38（3）：189- 194. 赵伟，范绍佳，谢文彰. AERMOD和CALPUFF对沿海电厂烟气扩散模拟对比研究［J］. 环境科学与技术，2015，38（3）：189- 194.
[6]	WANG D C，WANG B，WANG L，et al. Application of atmospheric diffusion model in complex terrain to environmental impact assessment［J］. Environmental Engineering，2010，28（6）：89- 93. 王栋成，王勃，王磊，等. 复杂地形大气扩散模式在环境影响评价中的应用［J］. 环境工程，2010，28（6）：89- 93.
[7]	LI M，YANG D O，HE W J. Comparative study and prospect of atmospheric diffusion models AERMOD and CALPUFF［J］. Geomatics and Information Science of Wuhan University，2020，45（8）：1245- 1254. 李梅，杨冬偶，何望君. 大气扩散模型AERMOD与CALPUFF对比研究及展望［J］. 武汉大学学报（信息科学版），2020，45（8）：1245- 1254.
[8]	LAI X L，WANG Y，YANG X L，et al. Comparison of AERMOD and CALPUFF in simulating air quality in complex terrain［J］. Journal of Lanzhou University（Natural Sciences），2017，53（6）：792- 798. 赖锡柳，王颖，杨雪玲，等. AERMOD与CALPUFF模拟复杂地形空气质量的对比［J］. 兰州大学学报（自然科学版），2017，53（6）：792- 798.
[9]	XIANG Y，SHI X F，WU Y S. Study on selection of near-field atmospheric pollutant diffusion model under complex terrain in datong basin［J］. Environmental Pollution and Control，2022，44（1）：45- 50. 向怡，史学峰，吴玉生. 大同盆地复杂地形下近场大气污染物扩散模型选取研究［J］. 环境污染与防治，2022，44（1）：45- 50.
[10]	MA D Y，TONG J L，LI H F，et al. Comparison of different vocs source strength statistical methods and their impact on the setting of environmental protection distance［J］. Environmental Engineering，2019，37（1）：133- 137. 马丹阳，仝纪龙，李海方，等. 不同VOCs源强统计方法比较及其对环境防护距离设置的影响［J］. 环境工程，2019，37（1）：133- 137.
[11]	ZENG H. Study on the setting of atmospheric environmental protection distance for pharmaceutical enterprises in the Yangtze River Delta Region［J］. Anhui Chemical Industry，2024，50（3）：117- 120. 曾辉. 长三角地区制药企业大气环境防护距离范围设定的研究［J］. 安徽化工，2024，50（3）：117- 120.
[12]	General Office of the Ministry of Ecology and Environment. Guidelines for investigation of VOCs pollution sources in petrochemical industry：huanban〔2015〕No.104［S］. Beijing：General Office of the Ministry of Ecology and Environment，2015. 生态环境部办公厅. 石化行业VOCs污染源排查工作指南：环办〔2015〕104号［S］. 北京：生态环境部办公厅，2015.
[13]	National Environmental Protection Agency. Comprehensive emission standard of air pollutants:GB 16297—1996［S］. Beijing：China Standards Press，1996. 国家环境保护局. 大气污染物综合排放标准：GB 16297—1996［S］. 北京：中国标准出版社，1996.
[14]	LIU M M，LIU F，WANG Y Q，et al. Analysis of influencing factors on large breathing loss of storage tanks in petrochemical enterprises［J］. Environmental Protection of Chemical Industry，2017，37（3）：357- 361. 刘敏敏，刘芳，王永强，等. 石化企业储罐大呼吸损耗影响因素的分析［J］. 化工环保，2017，37（3）：357- 361.
[15]	YUAN Y. Study on the Applicability of AERMOD and CALPUFF models under complex terrain［D］. Qingdao：China University of Petroleum（East China），2021. 原媛. 复杂地形下AERMOD与CALPUFF模型的适用性研究［D］. 青岛：中国石油大学（华东），2021.
[16]	MA Y. Study on pollution contribution of xigu petrochemical industrial concentration area to lanzhou urban area based on CALPUFF Model［D］. Lanzhou：Lanzhou University，2016. 马岩. 基于CALPUFF模型西固石化工业集中区对兰州市主城区污染贡献研究［D］. 兰州：兰州大学，2016.