First high-resolution tropospheric NO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; observations from the Ultraviolet Visible Hyperspectral Imaging Spectrometer (UVHIS)

Xi, Liang; Si, Fuqi; Jiang, Yu; Zhou, Haijin; Zhan, Kun; Chang, Zhen; Qiu, Xiaolan; Yang, Dongshang

doi:10.5194/amt-14-435-2021

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…Moreover, the average uncertainty of NO 2 during the flight was found to be 2.80 × 10 15 molec/cm 2 . The error estimation method is adopted from reference [17]. The results for the afternoon of 30 December 2022 showed that the VCD of NO2 was significantly high on the flight line (Figure 19).…”

Section: Idoas Resultsmentioning

confidence: 99%

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High-Resolution Nitrogen Dioxide Measurements from an Airborne Fiber Imaging Spectrometer over Tangshan, China

Zhang,

Xi,

Zhou

et al. 2024

Remote Sensing

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The pollution caused by nitrogen dioxide is a major environmental problem in China. This study introduces a new type of atmospheric trace gas remote-sensing instrument, an airborne fiber imaging spectrometer. This spectrometer has a spectral range of 300–410 nm and works in push-broom mode with a 30° field of view on a flight path. Flight experiments were conducted on 30 December 2022 and 5 January 2023, covering heavily polluted areas east of Beijing and Tangshan. This equipment obtained the density distribution of NO2 over the flight area. The results showed that pollution was mainly concentrated in the Caofeidian area and at the power station in the north, and the main source of pollution was anthropogenic. Satellite and airborne data near the pollution points were compared, and the two datasets showed a positive correlation with a correlation coefficient of 0.78 and 0.7, on the two days, respectively. This study demonstrates the capability of an airborne fiber imaging spectrometer for NO2 regional emission remote sensing and identifying the pollution points.

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Section: Idoas Resultsmentioning

confidence: 99%

“…Using airborne and ground-based platforms, a two-dimensional distribution of trace pollutant gases was obtained by Liu Jin et al [16]. Additionally, Xi Liang et al (2018) obtained high-resolution NO 2 maps using an ultraviolet-visible hyperspectral imaging spectrometer (UVHIS) in Feicheng, Shandong [17].…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Nitrogen Dioxide Measurements from an Airborne Fiber Imaging Spectrometer over Tangshan, China

Zhang,

Xi,

Zhou

et al. 2024

Remote Sensing

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“…HSI has been successfully applied in the field of food and drinks inspection [15], land mapping [16,17], biomedical diagnosis [18,19], and atmospheric sciences [20], etc. Recently, HSI has been increasingly applied for non-destructive inspection of composite structures in the industrial applications.…”

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confidence: 99%

Non-Destructive Testing of Composite Fiber Materials With Hyperspectral Imaging—Evaluative Studies in the EU H2020 FibreEUse Project

Yan

Ren

Zhao

et al. 2022

IEEE Trans. Instrum. Meas.

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Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture and chemical composition. Therefore, HSI has been successfully applied in various applications, including remote sensing for security and defense, precision agriculture for vegetation and crop monitoring, food/drink, and pharmaceuticals quality control. However, for condition monitoring and damage detection in carbon fibre reinforced polymer (CFRP), the use of HSI is a relatively untouched area, as existing non-destructive testing (NDT) techniques focus mainly on delivering information about physical integrity of structures but not on material composition. To this end, HSI can provide a unique way to tackle this challenge. In this paper, with the use of a near-infrared HSI camera, applications of HSI for the non-destructive inspection of CFRP products are introduced, taking the EU H2020 FibreEUse project as the background. Technical challenges and solutions on three case studies are presented in detail, including adhesive residues detection, surface damage detection and Cobot based automated inspection. Experimental results have fully demonstrated the great potential of HSI and related vision techniques for NDT of CFRP, especially the potential to satisfy the industrial manufacturing environment. Index Terms-Hyperspectral imaging (HSI); non-destructive inspection; carbon fibre reinforced polymer (CFRP); H2020. I. INTRODUCTIONMany sectors, including aerospace, maritime transportation, sports, and civil engineering, use carbon fiber-reinforced polymer composites (CFRP) as structural materials because of its unique properties of lightweight, high stiffness/strength and damping resistance [1, 2], as illustrated in Fig. 1(a). Components and products based on composites often have a lifespan of fewer than 20 to 30 years, e.g. 20-25 years for a wind turbine [3], and 10 years on average for recreational boats and vehicle bodies [4]. End-of-life (EoL) CFRP waste management is becoming increasingly important due to the rapidly developing demand for composites in industrial manufacturing. Nowadays, landfilling is still the most common waste management technique, which is reasonably inexpensive,

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Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China

Liu,

Xing

2024

Front. Environ. Sci. Eng.

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The achievement of the targets of coordinated control of PM2.5 and O3 and the carbon peaking and carbon neutrality depend on the development of pollution and greenhouse gas monitoring technologies. Optical monitoring technology, based on its technical characteristics of high scalability, high sensitivity and wide-targets detection, has obvious advantages in pollution/greenhouse gases monitoring and has become an important direction in the development of environmental monitoring technology. At present, a system of environmental optical monitoring technology with differential optical absorption spectroscopy (DOAS), cavity ring-down spectroscopy (CRDS), light detection and ranging (LIDAR), laser heterodyne spectroscopy (LHS), tunable diode laser absorption spectroscopy (TDLAS), fourier transform infrared spectroscopy (FTIR) and fluorescence assay by gas expansion (FAGE) as the main body has been established. However, with the promotion of “reduction of pollution and carbon emissions” strategy, there have been significant changes in the sources of pollution/greenhouse gases, emission components and emission concentrations, which have put forward new and higher requirements for the development of monitoring technologies. In the future, we should pay more attention to the development of new optical monitoring techniques and the construction of stereoscopic monitoring system, the interdisciplinarity (among mathematics, physics, chemistry and biology, etc.), and the monitoring of greenhouse gases and research on atmospheric chemistry.

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First high-resolution tropospheric NO<sub>2</sub> observations from the Ultraviolet Visible Hyperspectral Imaging Spectrometer (UVHIS)

Cited by 5 publications

References 40 publications

High-Resolution Nitrogen Dioxide Measurements from an Airborne Fiber Imaging Spectrometer over Tangshan, China

High-Resolution Nitrogen Dioxide Measurements from an Airborne Fiber Imaging Spectrometer over Tangshan, China

Non-Destructive Testing of Composite Fiber Materials With Hyperspectral Imaging—Evaluative Studies in the EU H2020 FibreEUse Project

Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China

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