Vessel traffic safety in busy waterways: A case study of accidents in western shenzhen port

Mou, Junmin; Chen, Pengfei; He, Yue; Yip, Tsz Leung; Li, W.H.; Tang, Jiajun; Zhang, H.Z.

doi:10.1016/j.aap.2016.07.037

Cited by 43 publications

(26 citation statements)

References 28 publications

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“…Coal burning high-potential source areas were similar but smaller compared to those of industrial emissions, which were manly located in the northern area of Shenzhen. The potential areas of ship emissions were consistent with the coastal regions, where there are many shipping ports, especially the Shenzhen ports, which are the third largest in the world and have active shipping lanes with traffic volumes up to 500,000 transits in 2015 (Mou et al, 2019). In summary, the PSCF analysis indicated that the northern domain was the high potential source region for secondary aerosol, coal burning, and industrial emissions.…”

Section: Potential Source Areassupporting

confidence: 61%

Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system

Su¹,

Xing²,

Huang³

et al. 2020

Preprint

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Abstract. Online instruments have been widely applied for the measurement of PM2.5 and its chemical components; however, these instruments have a major shortcoming in terms of the lack or limited number of species in field measurements. To this end, a new mass closure PM2.5 online integrated system was developed and applied in this work to achieve more comprehensive information on chemical species in PM2.5. For the new system, one isokinetic sampling system for PM2.5 was coupled with an aerosol chemical speciation monitor (Aerodyne, ACSM), an Aethalometer (Magee, AE-31), an automated multimetals monitor (Cooper Corporation, Xact-625), and a hybrid synchronized ambient particulate real-time analyzer monitor (Thermo Scientific, SHARP-5030i) to enable high-resolution temporal (1 h) measurements of organic matter, SO42−, NO3−, Cl−, NH4+, black carbon and important elements as well as PM2.5 mass concentrations. The new online integrated system was first deployed in Shenzhen, China to measure the PM2.5 composition from 25 September to 30 October 2019. Our results showed that the average PM2.5 concentration in this work was 33 μg m−3, and the measured species well-reconstructed the PM2.5 and almost formed a mass closure (94 %). The multilinear engine (ME-2) model was employed for the comprehensive online PM2.5 chemical dataset to apportion the sources with predetermined constraints, in which the organic ion fragment m/z 44 in ACSM data was used as the tracer for secondary organic aerosol (SOA). Nine sources were determined and obtained reasonable time series and diurnal variations in this study, including identified SOA (23 %), secondary sulfate (22 %), vehicle emissions (18 %), biomass burning (11 %), coal burning (8.0 %), secondary nitrate (5.3 %), fugitive dust (3.8 %), ship emissions (3.7 %), and industrial emissions (2.1 %). The potential source contribution function (PSCF) analysis indicated that the major source areas could be the region north of the sampling site. To the best of our knowledge, this is the first system that can perform online measurements of PM2.5 components with a mass closure, thus providing a new powerful tool for PM2.5 long-term daily measurement and source apportionment.

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Section: Potential Source Areassupporting

confidence: 61%

Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system

Su¹,

Xing²,

Huang³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…When accident data from IHS Fairplay and some states' maritime authorities are compared, it is seen that the number of unreported accidents accounts for roughly 50% of all accidents [33]. Because long-term marine accident data is required to estimate regional risk criteria and safety indices, the maritime safety administration or authorities should establish a complete database of ship traffic accidents and accident recording and investigation policy [34].…”

Section: Datamentioning

confidence: 99%

Investigation of Resource Distribution Based on the Relationship Between Accident Regions and Accident Types

Kılıç¹,

Akdamar²

2020

IJSSE

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The aim of this study is to investigate the relationship between accident types and the regions where the accidents occur, and to examine whether the resources required for accident prevention are distributed appropriately in the accident regions. In the study, the relationship between seven different types of accidents that occurred in seven different regions between the years of 2001-2016 was analyzed through the correspondence analysis. This analysis has been preferred because of its successful applications in various studies on accidents in the literature. As a result of the study, a significant relationship was found between accident types and accident regions, which means accident types vary by regions and there are accident types specific to accident regions. Collision in the Istanbul, grounding in the Canakkale and capsize accidents in the Izmir were determined to be more frequent. These findings are consistent with previous studies. It has been observed that, among regions, there are some imbalances in the distribution of resources used for marine accident response.

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“…(1) High traffic flow and density. This will increase the uncertainties of collision avoidance action of ships in crossing situation, and thus lead to a relatively higher collision risk [37,38]. (2) When affected by external factors such as meteorological parameters and hydrological parameters, the possibility of accidents is relatively high [39].…”

Section: Traffic-intensive Watersmentioning

confidence: 99%

Risk Causal Analysis of Traffic-Intensive Waters Based on Infectious Disease Dynamics

Chen

Liu

Wan

2019

JMSE

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Accidents occur frequently in traffic-intensive waters, which restrict the safe and rapid development of the shipping industry. Due to the suddenness, randomness, and uncertainty of accidents in traffic-intensive waters, the probability of the risk factors causing traffic accidents is usually high. Thus, properly analyzing those key risk factors is of great significance to improve the safety of shipping. Based on the analysis of influencing factors of ship navigational risks in traffic-intensive waters, this paper proposes a cloud model to excavate the factors affecting navigational risk, which could accurately screen out the key risk factors. Furthermore, the risk causal model of ship navigation in traffic-intensive waters is constructed by using the infectious disease dynamics method in order to model the key risk causal transmission process. Moreover, an empirical study of the Yangtze River estuary is conducted to illustrate the feasibility of the proposed models. The research results show that the cloud model is useful in screening the key risk factors, and the constructed causal model of ship navigational risks in traffic-intensive waters is able to provide accurate analysis of the transmission process of key risk factors, which can be used to reduce the navigational risk of ships in traffic-intensive waters. This research provides both theoretical basis and practical reference for regulators in the risk management and control of ships in traffic-intensive waters.

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Vessel traffic safety in busy waterways: A case study of accidents in western shenzhen port

Cited by 43 publications

References 28 publications

Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system

Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system

Investigation of Resource Distribution Based on the Relationship Between Accident Regions and Accident Types

Risk Causal Analysis of Traffic-Intensive Waters Based on Infectious Disease Dynamics

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Vessel traffic safety in busy waterways: A case study of accidents in western shenzhen port

Cited by 43 publications

References 28 publications

Development and application of a mass closure PM&lt;sub&gt;2.5&lt;/sub&gt; composition online monitoring system

Development and application of a mass closure PM&lt;sub&gt;2.5&lt;/sub&gt; composition online monitoring system

Investigation of Resource Distribution Based on the Relationship Between Accident Regions and Accident Types

Risk Causal Analysis of Traffic-Intensive Waters Based on Infectious Disease Dynamics

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Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system

Development and application of a mass closure PM<sub>2.5</sub> composition online monitoring system