Abstract
Under the severe environmental protection situation, port enterprises generally face the problem of failing to grasp current situation of environmental pollution comprehensively, resulting in ineffective environmental governance. In this study, the concentration of PM10 was monitored in the front and rear storage yard of a domestic dry bulk operation port through an unmanned aerial vehicle (UVA) equipped with a sniffer, and heat maps of PM10 concentration at 60 m above the storage yards were drawn. This study also analyzed the dust generation characteristics and the impact of dry bulk operations through a comparison between the measured and official released data. It is shown that the dry bulk operation has little impact on the atmospheric environment of ports and surrounding areas under conventional operating and meteorological conditions, and the distribution characteristics of PM10 in the specific space have a strong correlation with the instantaneous emission of dust generated by dry bulk cargo handling operations. The technical means and research results proposed in this study is proved to provide technical support for the optimization of port environmental management.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chunyi Z (2020) Port ecological intelligent monitoring and control system. Port Sci Technol 176(10):20–22
Changhao D, Xuejun F, Yan Z, Sai M, Yunpeng Z (2020) Study on PM2.5 distribution in dry bulk port based on unmanned aerial vehicle platform. Environ Pollut Control 337(12):63–67
Hong C, Guangru L, Yunhui D, Haizhen Z (2013) The analysis of impact factor of harbor dust and pollution controlling measures. Northern Environ 102(06):98–102
Long Y, Kebin H, Qiang Z, Qidong W (2005) Vertical distributive characters of PM2.5 at the ground layer in autumn and winter in Bei**g. Res Environ Sci 2:23–28
Meiling S, Huaibin M, Danzhu W (2008) Vertical distribution characteristics of PM2.5 mass concentration in the atmosphere over Tian**. Meteorol Monthly 10:60–66
Qing Y, Qiang Z, Yin L (2020) Ecological environment monitoring of Gannan Tibetan autonomous prefecture based on small UAV and remote sensing technology. J Green Sci Technol 10:143–147
Qingzi M, Shuxian F, Jiabao H (2015) Particle size distribution and characteristics of polycyclic aromatic hydrocarbons during a heavy haze episode in Nan**g, China. Particuology 1:127–134
Shan G, Shuifen Z, Binbin Z, Jun Z (2006) Review of Dedust technique in coal harbor. J Waterway Harbor 01:40–44
Wei** W (2006) Prevention & control strategies and it’s existing status for dust pollution in Chinese harbour. Environ Prote Transp 4:1–6
Xuyu Z (2019) Application analysis of UAV in atmospheric environment monitoring. Environ Dev 31(7):138–139
Yunfei Z, Jiahai Z, Peng Z (2014) Research on dust pollution prevention and control technology in port bulk cargo handling process. China Water Transp 014(012):309–310
Yingjun X (2021) Research on the application of UAV remote sensing technology in the field of ecological environment. China Resour Comprehensive Utilization 39(2):3
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
**g, L., Zhao, L. (2023). Research on Characteristics of Port Particulate Matter (PM10) Fugitive Emissions Based on UAV Sniffing Technology. In: Zhang, J., Ruan, R., Bashir, M.J.K. (eds) Environmental Pollution Governance and Ecological Remediation Technology. ICEPG 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-25284-6_37
Download citation
DOI: https://doi.org/10.1007/978-3-031-25284-6_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25283-9
Online ISBN: 978-3-031-25284-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)