Abstract
The “spatial pattern-wind environment-air pollution” within building clusters is closely interconnected, where different spatial pattern parameters may have varying degrees of impact on the wind environment and pollutant dispersion. Due to the complex spatial structure within industrial parks, this complexity may lead to the accumulation and retention of air pollutants within the parks. Therefore, to alleviate the air pollution situation in industrial parks in China and achieve the circular transformation and construction of parks, this study takes Hefei Circular Economy Demonstration Park as the research object. The microscale Fluent model in computational fluid dynamics (CFD) is used to finely simulate the wind flow field and the diffusion process of pollutants within the park. The study analyzes the triad relationship and influence mechanism of “spatial pattern-wind environment-air pollution” within the park and studies the influence of different spatial pattern parameters on the migration and diffusion of pollutants. The results show a significant negative correlation between the content of pollutants and wind speed inside the industrial park. The better the wind conditions, the higher the air quality. The spatial morphology parameters of the building complex are the main influences on the condition of its internal wind environment. Building coverage ratio and degree of enclosure have a significant negative correlation with wind conditions. Maintaining them near 0.23 and 0.37, respectively, is favorable to the quality of the surrounding environment. Moreover, the average height of the building is positively correlated with the wind environment condition. The rate of transport and dissipation of pollutants gradually increases as the average building height reaches 16 m. Therefore, a reasonable building planning strategy and arrangement layout can effectively improve the wind environment condition inside the park, thus alleviating the pollutant retention situation. The obtained results serve as a theoretical foundation for optimizing morphological structure design within urban industrial parks.
Similar content being viewed by others
Data Availability
All data generated or analyzed during this study are included in this published article
References
Badach, J., Wojnowski, W., & Gębicki, J. (2023). Spatial aspects of urban air quality management: Estimating the impact of micro-scale urban form on pollution dispersion. Computers, Environment and Urban Systems, 99, 101890. https://doi.org/10.1016/j.compenvurbsys.2022.101890
Buccolieri, R., Sandberg, M., & Di Sabatino, S. (2010). City breathability and its link to pollutant concentration distribution within urban-like geometries. Atmospheric Environment, 44, 1894–1903. https://doi.org/10.1016/j.atmosenv.2010.02.022
Calderón-Garcidueñas, L., Herrera-Soto, A., Jury, N., et al. (2020). Reduced repressive epigenetic marks, increased DNA damage and Alzheimer’s disease hallmarks in the brain of humans and mice exposed to particulate urban air pollution. Environmental Research, 183, 109226. https://doi.org/10.1016/j.envres.2020.109226
Choi, H., Kim, H., & Kim, T. (2019). Long-term simulation for predicting indoor air pollutant concentration considering pollutant distribution based on concept of CRPS index. Build Simul, 12, 1131–1140. https://doi.org/10.1007/s12273-019-0550-4
Craig, K. J., De Kock, D. J., & Snyman, J. A. (1999). Using CFD and mathematical optimization to investigate air pollution due to stacks. International Journal for Numerical Methods in Engineering, 44, 551–565. https://doi.org/10.1002/(SICI)1097-0207(19990210)44:4<551::AID-NME519>3.0.CO;2-7
Fernández-Pacheco, V. M., Fernández-Tena, A., Ackermann, T., et al. (2023). Physical and CFD model used in the analysis of particles dispersion. Heliyon, 9. https://doi.org/10.1016/j.heliyon.2023.e21330
Franke, J., Hellsten, A., Schlunzen, K. H., & Carissimo, B. (2011). The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: A summary. International Journal of Environment and Pollution, 44, 419–427. https://doi.org/10.1504/IJEP.2011.038443
Hang, J., Li, Y., Sandberg, M., et al. (2012). The influence of building height variability on pollutant dispersion and pedestrian ventilation in idealized high-rise urban areas. Building and Environment, 56, 346–360. https://doi.org/10.1016/j.buildenv.2012.03.023
Hang, J., Sandberg, M., & Li, Y. (2009). Effect of urban morphology on wind condition in idealized city models. Atmospheric Environment, 43, 869–878. https://doi.org/10.1016/j.atmosenv.2008.10.040
Huang, Y., Ren, S., Xu, N., et al. (2022). Impacts of specific street geometry on airflow and traffic pollutant dispersion inside a street canyon. Air Qual Atmos Health, 15, 1133–1152. https://doi.org/10.1007/s11869-021-01101-y
Huertas, J. I., Aguirre, J. E., Lopez Mejia, O. D., & Lopez, C. H. (2021). Design of road-side barriers to mitigate air pollution near roads. Applied Sciences, 11, 2391. https://doi.org/10.3390/app11052391
Jiang, Z., Cheng, H., Zhang, P., & Kang, T. (2021). Influence of urban morphological parameters on the distribution and diffusion of air pollutants: A case study in China. Journal of Environmental Sciences, 105, 163–172. https://doi.org/10.1016/j.jes.2020.12.035
Jurado, X., Reiminger, N., Vazquez, J., & Wemmert, C. (2021). On the minimal wind directions required to assess mean annual air pollution concentration based on CFD results. Sustainable Cities and Society, 71, 102920. https://doi.org/10.1016/j.scs.2021.102920
Ku, C.-A., & Tsai, H.-K. (2020). Evaluating the influence of urban morphology on urban wind environment based on computational fluid dynamics simulation. ISPRS International Journal of Geo-Information, 9, 399. https://doi.org/10.3390/ijgi9060399
Ku, C.-A., & Tsai, S.-S. (2024). Simulating the effects of planning strategies on urban heat island and air pollution mitigation in an urban renewal area. Journal of Geographical Systems. https://doi.org/10.1007/s10109-023-00436-7
Li, Z., Zhang, H., Wen, C.-Y., et al. (2021). The effects of lateral entrainment on pollutant dispersion inside a street canyon and the corresponding optimal urban design strategies. Building and Environment, 195, 107740. https://doi.org/10.1016/j.buildenv.2021.107740
Lin, Y.-C., Lai, C.-Y., & Chu, C.-P. (2021). Air pollution diffusion simulation and seasonal spatial risk analysis for industrial areas. Environmental Research, 194, 110693. https://doi.org/10.1016/j.envres.2020.110693
Liu, W., Xu, Z., & Yang, T. (2018). Health effects of air pollution in China. International Journal of Environmental Research and Public Health, 15, 1471. https://doi.org/10.3390/ijerph15071471
Ng, W.-Y., & Chau, C.-K. (2014). A modeling investigation of the impact of street and building configurations on personal air pollutant exposure in isolated deep urban canyons. Science of The Total Environment, 468–469, 429–448. https://doi.org/10.1016/j.scitotenv.2013.08.077
Pantusheva, M., Mitkov, R., Hristov, P. O., & Petrova-Antonova, D. (2022). Air pollution dispersion modelling in urban environment using CFD: A systematic review. Atmosphere, 13, 1640. https://doi.org/10.3390/atmos13101640
Rajagopalan, P., Lim, K. C., & Jamei, E. (2014). Urban heat island and wind flow characteristics of a tropical city. Solar Energy, 107, 159–170. https://doi.org/10.1016/j.solener.2014.05.042
Ramponi, R., Blocken, B., de Coo, L. B., & Janssen, W. D. (2015). CFD simulation of outdoor ventilation of generic urban configurations with different urban densities and equal and unequal street widths. Building and Environment, 92, 152–166. https://doi.org/10.1016/j.buildenv.2015.04.018
San Jose, R., & Perez-Camanyo, J. L. (2023). High-resolution impacts of green areas on air quality in Madrid. Air Quality, Atmosphere & Health, 16, 37–48. https://doi.org/10.1007/s11869-022-01263-3
Science, G. (2019). Effects of wind direction on the airflow and pollutant dispersion inside a long street canyon. Aerosol and Air Quality Research, 19, 1152–1171. https://doi.org/10.4209/aaqr.2018.09.0344
Sha, C., Wang, X., Lin, Y., et al. (2018). The impact of urban open space and ‘lift-up’ building design on building intake fraction and daily pollutant exposure in idealized urban models. Science of The Total Environment, 633, 1314–1328. https://doi.org/10.1016/j.scitotenv.2018.03.194
Shan, Y., Guan, D., Zheng, H., et al. (2018). Data descriptor: China CO2 emission accounts 1997-2015. Scientific Data, 5, 170201. https://doi.org/10.1038/sdata.2017.201
Shan, Y.-L., Guan, D.-B., Zheng, H.-R., et al. (2020). An emissions accounting framework for industrial parks in China. Journal of Cleaner Production, 244, 118712. https://doi.org/10.1016/j.jclepro.2019.118712
Shi, X., Sun, D., Zhang, Y., et al. (2020). Modeling emission flow pattern of a single cruising vehicle on urban streets with CFD simulation and wind tunnel validation. International Journal of Environmental Research and Public Health, 17, 4557. https://doi.org/10.3390/ijerph17124557
Singh, A. P., & Bhatia, P. (2019). Numerical simulation of pollutant dispersion in an urban street canyon - Effects of elevated metro rail track. International Journal of Environmental Technology and Management, 22, 101–114. https://doi.org/10.1504/IJETM.2019.102198
Thordal MS, Bennetsen JChr, Koss HHH (2019) Review for practical application of CFD for the determination of wind load on high-rise buildings. Journal of Wind Engineering and Industrial Aerodynamics 186:155–168. https://doi.org/10.1016/j.jweia.2018.12.019
Tominaga, Y., Mochida, A., Yoshie, R., et al. (2008). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics, 96, 1749–1761. https://doi.org/10.1016/j.jweia.2008.02.058
Wang, Y., Flageul, C., Maison, A., et al. (2023). Impact of trees on gas concentrations and condensables in a 2-D street canyon using CFD coupled to chemistry modeling. Environmental Pollution, 323, 121210. https://doi.org/10.1016/j.envpol.2023.121210
Yan, L., Hu, W., & Yin, M.-Q. (2021). An investigation of the correlation between pollutant dispersion and wind environment: Evaluation of static wind speed. Polish Journal of Environmental Studies, 30, 4311–4323. https://doi.org/10.15244/pjoes/130040
Yang, J., Shi, B., Shi, Y., et al. (2020a). Air pollution dispersal in high density urban areas: Research on the triadic relation of wind, air pollution, and urban form. Sustainable Cities and Society, 54, 101941. https://doi.org/10.1016/j.scs.2019.101941
Yang, Z., Hao, J., Huang, S., et al. (2020b). Acute effects of air pollution on the incidence of hand, foot, and mouth disease in Wuhan, China. Atmospheric Environment, 225, 117358. https://doi.org/10.1016/j.atmosenv.2020.117358
Funding
This study was supported in part by grants from the National Natural Science Foundation of China (41005016, 42105076), the Anhui Provincial Department of Education Innovation Team Project (2022AH010018), the Key Project of Anhui Province Outstanding Young Talents Support Plan (gxyqZD2020036), and the Research Foundation of Anhui Jianzhu University (2020QDZ31, 2022QDZ06, 2022QDZ20).
Author information
Authors and Affiliations
Contributions
Qiang Zhao: supervision, writing (review and editing), and project administration; Rui Li: writing (review and editing), software, and validation; Kaifa Cao: conceptualization and resources; Mingjian Yi: data curation and validation; Hao Liu: methodology and formal analysis.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable
Consent for publication
Not applicable
Competing interests
The authors declare no competing interests
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhao, Q., Li, R., Cao, K. et al. Influence of building spatial patterns on wind environment and air pollution dispersion inside an industrial park based on CFD simulation. Environ Monit Assess 196, 427 (2024). https://doi.org/10.1007/s10661-024-12593-3
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10661-024-12593-3