Protocol development for real-time ship fuel sulfur content determination using drone based plume sniffing microsensor system

Anand, Abhishek; Wei, Peng; Gali, Nirmal Kumar; Sun, Li; Yang, Fenhuan; Westerdahl, Dane; Zhang, Qing; Deng, Zhiqiang; Wang, Ying; Liu, Dengguo; Shen, Yin; Fu, Qingyan; Liu, Juan; Zhang, Chunchang; Ho, Anderson M.H.; Louie, Peter K.K.; Lau, Brian Leung; Ning, Zhi

doi:10.1016/j.scitotenv.2020.140885

Cited by 30 publications

(7 citation statements)

References 20 publications

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“…The temperature and tail gas concentration decrease significantly with distance from the opening, and further interference can be caused by various meteorological conditions. Thus, the detection accuracy was shown to be low in the real port environment, which needed to be corrected by using the measured data from several flights [14]. The advantage of the second method is that it does not affect the normal navigation of the ship through long-distance detection [15].…”

Section: Of 13mentioning

confidence: 99%

Monitoring Sulfur Content in Marine Fuel Oil Using Ultraviolet Imaging Technology

et al. 2021

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The emission of SO2 from ships is an important source of atmospheric pollution. Therefore, the International Maritime Organization (IMO) has established strict requirements for the sulfur content of marine fuel oil. In this paper, a new optical noncontact detection technique for ship exhaust emissions analysis is studied. Firstly, the single-band simulation analysis model of the imaging detection technology for SO2 concentration in ship exhaust gas and the deep neural network model for the prediction of sulfur content were established. A bench test was designed to monitor the tail gas concentration simultaneously using online and imaging detection methods, so as to obtain the concentration data in the flue and the ultraviolet image data. The results showed that 300 nm had a higher inversion accuracy than the other two bands. Finally, a deep neural network model was trained with the SO2 concentration data from the inversion and the engine power, and the predictive model of sulfur content in marine fuel oil was thereby obtained. When the deep learning model was used to predict sulfur content, the prediction accuracy at 300, 310, and 330 nm was 73%, 94%, and 71%, respectively.

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Section: Of 13mentioning

confidence: 99%

Monitoring Sulfur Content in Marine Fuel Oil Using Ultraviolet Imaging Technology

et al. 2021

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“…Sławomir Pochwała et al 18 developed a UAV-based air quality monitoring system to identify the most dangerous areas. In the same year, Abhishek Anand et al 19 based on UAV technology targeted the monitoring of SO 2 , NO 2 , etc., enriching the field of UAV monitoring concentrations while ships were moving, and the reliability of the system was verified by simulations. The research of scholars at that time mainly applied the application of UAV monitoring to pollutant monitoring in urban and marine areas, which illustrated the feasibility and reliability of monitoring technology through UAVs.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional spatial monitoring of open pit mine dust dispersion by unmanned aerial vehicle

Zhang

et al. 2023

Sci Rep

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Dust pollution is one of the most severe environmental issues in open pit mines, hindering green mining development. Open pit mine dust has characteristics of multiple dust-generating points, is irregular, influenced by climatic conditions, and has a high degree of distribution with a wide dispersion range in three dimensions. Consequently, evaluating the quantity of dust dispersion and controlling environmental pollution are crucial for supporting green mining. In this paper, dust monitoring above the open pit mine was carried out with an unmanned aerial vehicle (UAV) on board. The dust distribution patterns above the open pit mine were studied in different vertical and horizontal directions at different heights. The results show that the temperature changes less in the morning and more at noon in winter. At the same time, the isothermal layer becomes thinner and thinner as the temperature rises, which makes it easy for dust to spread. The horizontal dust is mainly concentrated at 1300 and 1550 elevations. The dust concentration is polarized at 1350–1450 elevation. The most serious exceedance is at 1400 elevation, with TSP (the concentration of total suspended particulate), PM10 (particulates with aerodynamic diameter < 10 μm), and PM2.5 (particulates with aerodynamic diameter < 2.5 μm) accounting for 188.8%, 139.5%, and 113.8%, respectively. The height is 1350–1450 elevation. Dust monitoring technology carried out by UAV can be applied to the study of dust distribution in the mining field, and the research results can provide reference for other open pit mines. It can also provide a basis for law enforcement part to carry out law enforcement, which has expanded and wide practical application value.

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“…An alternative method is to measure or calculate the concentration of emitted pollutants. This can be done with measuring stations at the banks of rivers, in harbours or on the shore [25][26][27], air sampling [28], (portable) emission measurement systems [29][30][31][32], continuous-time monitoring campaigns [33][34][35][36][37][38], sniffing methods with drones or airplanes [39][40][41][42][43][44], or dispersion models [12,45,46]. Besides the emission of a complex mixture of gaseous and particulate residuals from burnt fuel [17,[47][48][49][50], pollutants are also emitted by the loss of lubricant oil through the combustion chamber and the tailpipe [51].…”

Section: Introductionmentioning

confidence: 99%

The Inherent Instability of Environmental Parameters Governing Indoor Air Quality on Board Ships and the Use of Temporal Trends to Identify Pollution Sources

et al. 2023

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Indoor air quality on board a 36-year-old ship has been characterized at several locations. The ship is dedicated to nearshore operations at the Belgian coast. This paper presents time-averaged and continuous-time measurements of several indoor pollutant concentrations such as NO2, O3, NO, CO, total volatile organic compounds (TVOC), polycyclic aromatic hydrocarbons (PAH), particulate matter PM2.5 and PM10, black carbon, and individual organic compounds. Time-averaged measurements suggest that the ship’s indoor air quality is sufficiently safe according to the prescribed occupational and nonoccupational health limits. However, the concentration of some indoor pollutants is comparable to that of the outdoor air of a large city such as Brussels, Belgium. Continuous-time analyses show that the temporal trends of indoor pollutant concentrations are inherently unstable. A large number of peaks or valleys are observed on a slowly fluctuating background. At some occasions, pollutant concentrations exceed the nonoccupational thresholds. Several pollutant peaks occur simultaneously, resulting in a pattern of peaks that is typical for a pollution source (e.g., exhaust gases entering the ship’s castle through the ventilation inlet, human presence, and bunkering). This study illustrates that multiparameter monitoring campaigns give valuable information about the behaviour of pollution sources, facilitating the definition of mitigation actions.

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Protocol development for real-time ship fuel sulfur content determination using drone based plume sniffing microsensor system

Cited by 30 publications

References 20 publications

Monitoring Sulfur Content in Marine Fuel Oil Using Ultraviolet Imaging Technology

Monitoring Sulfur Content in Marine Fuel Oil Using Ultraviolet Imaging Technology

Multidimensional spatial monitoring of open pit mine dust dispersion by unmanned aerial vehicle

The Inherent Instability of Environmental Parameters Governing Indoor Air Quality on Board Ships and the Use of Temporal Trends to Identify Pollution Sources

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