Multiwavelength fluorescence lidar observations of smoke plumes

Atmospheric measurement techniques, Journal Year: 2023, Volume and Issue: 16(8), P. 2055 - 2065

Published: April 18, 2023

Abstract. A five-channel fluorescence lidar was developed for the study of atmospheric aerosol. The spectrum induced by 355 nm laser emission is analyzed in five spectral intervals using interference filters. Central wavelengths and widths these filters are, respectively, as follows: 438 29, 472 32, 513 560 40, 614 54 nm. relative calibration channels has been performed a tungsten–halogen lamp with color temperature 2800 K. This new system operated during summer–autumn 2022, when strong forest fires occurred Moscow region generated series smoke plumes this study. Our results demonstrate that, urban aerosol, maximal backscattering observed channel. For smoke, maximum shifted toward longer wavelengths, coefficients 472, have comparable values. Thus, from analysis ratios available channels, we show that it possible to identify layers. particle classification based on single-channel capacity (ratio elastic one) limitations at high humidity (RH). indeed decreases water uptake particles enhances scattering. However, variation does not exhibit any dependence RH can be therefore applied aerosol identification.

Language: Английский

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Identification of fluorescent aerosol observed by a spectroscopic lidar over northwest China

Optics Express, Journal Year: 2023, Volume and Issue: 31(13), P. 22157 - 22157

Published: May 30, 2023

Bioaerosols play a significant role in climate change and variation of ecological environment. To investigate characterization atmospheric bioaerosols, we conducted lidar measurement for observing bioaerosols close to dust sources over northwest China April, 2014. The developed system can not only allowed us measure the 32-channel fluorescent spectrum between 343 nm 526 with spectral resolution 5.8 but also simultaneously detect polarisation measurements at 355 532 nm, as well Raman scattering signals 387 407 nm. According findings, was able pick up robust fluorescence signal emitted by aerosols. Especially polluted dust, efficiency could reach 0.17. In addition, single-band typically rises wavelength goes ratio air pollutant background aerosols is about 4:3:8:2. Moreover, our results demonstrate that simultaneous depolarization better distinguish than those This study enhances ability laser remote sensing real-time detecting bioaerosol atmosphere.

Language: Английский

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Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(3), P. 1603 - 1615

Published: Feb. 5, 2025

Abstract. The fluorescence lidar at the Prokhorov General Physics Institute (Moscow) was utilized to study smoke transported over Atlantic during wildfire season from May September 2023. system, which is based on a tripled Nd : YAG laser, performs measurements across five spectral intervals centered wavelengths of 438, 472, 513, 560 and 614 nm. This configuration enables assessment dependence backscattering broad range altitudes, planetary boundary layer (PBL) middle upper troposphere (MUT). capacity smoke, defined as ratio aerosol laser wavelength, exhibits significant variation in MUT, with changes up factor 3. likely indicative differences relative concentration organic compounds within smoke. Analysis more than 40 episodes has enabled an evaluation height properties. Observations reveal that generally increases altitude, suggesting higher MUT compared lower troposphere. Additionally, consistently show spectra urban aerosol. Urban tends decrease gradually whereas peak observed 513 nm channels. distinction provides effective means separating technique applied analysis events where descended into PBL, demonstrating its utility distinguishing between these types.

Language: Английский

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East Asian dust storm in March 2021: Perspective views from ground observation, satellite measurement and numerical simulation

Atmospheric Environment, Journal Year: 2025, Volume and Issue: unknown, P. 121152 - 121152

Published: March 1, 2025

Language: Английский

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Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(7), P. 3995 - 4011

Published: April 9, 2025

Abstract. One of the most powerful instruments for studying aerosol particles and their interactions with environment is atmospheric lidar. In recent years, fluorescence lidar has emerged as a useful tool identifying due to its link biological content. Since 2022, this technique been implemented in Leipzig, Germany. This paper describes experimental setup data analysis, special emphasis on characterization new channel centered at 466 nm. The capabilities are examined corroborated through several case studies. Most measurement cases considered from spring summer 2023, when large amounts biomass-burning huge forest fires Canada were transported Europe. observed layers characterized. For wildfire smoke, capacity was typically range 2×10-4–7 × 10−4, which aligns well values reported literature. key aspects study technique, can potentially improve not only typing but even detection particles. an apparently low load, clearly revealed presence that detectable traditional elastic-backscatter channels. capability discussed detail linked fact backscattering related only. A second area potential distinction between non-activated hydrometeors, given water's inability exhibit fluorescence. smoke–cirrus suggests influence layer cloud formation, it seems affect coefficient within passing time. These aforementioned applications promise advancements towards more detailed view aerosol–cloud interaction problem.

Language: Английский

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Derivation of depolarization ratios of aerosol fluorescence and water vapor Raman backscatters from lidar measurements

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(3), P. 1023 - 1036

Published: Feb. 12, 2024

Abstract. Polarization properties of the fluorescence induced by polarized laser radiation are widely considered in laboratory studies. In lidar observations, however, only total backscattered power is analyzed. this paper we present results obtained with a modified Mie–Raman–fluorescence operated at ATOLL observatory, Laboratoire d'Optique Atmosphérique, University Lille, France, allowing us to measure depolarization ratios 466 nm (δF) and water vapor Raman backscatter. Measurements were performed May–June 2023 during Alberta forest fires season when smoke plumes almost continuously transported over Atlantic Ocean towards Europe. During same period, from sources also detected analyzed Moscow, General Physics Institute (GPI), five-channel able backscattering 438, 472, 513, 560 614 nm. Results demonstrate that, inside planetary boundary layer (PBL), urban aerosol maximal 438 nm, then it gradually decreases increase wavelength. The layers observed within 4–6 km height maximum 513 while upper troposphere, shifts Regarding ratio, for its value typically varies 45 %–55 % range. ratio 408 shown be quite low (2±0.5 %) absence because narrowband interference filter (0.3 nm) channel selects strongest vibrational lines spectrum. As result, sensitive presence strongly depolarized can used evaluation contribution measured mixing ratio.

Language: Английский

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A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(12), P. 3625 - 3667

Published: June 18, 2024

Abstract. A new four-dimensional, multiyear, and near-global climate data record of the fine-mode (submicrometer in terms diameter) coarse-mode (supermicrometer components atmospheric pure dust is presented. The separation two modes detected layers based on a combination (1) total pure-dust product provided by well-established European Space Agency (ESA) “LIdar climatology Vertical Aerosol Structure” (LIVAS) database (2) component first step two-step POlarization LIdar PHOtometer Networking (POLIPHON) technique, developed framework Research Lidar Network (EARLINET). Accordingly, extracted as residual between LIVAS dust. Intermediate steps involve implementation regionally dependent lidar-derived lidar ratio values AErosol RObotic NETwork (AERONET)-based climatological extinction-to-volume conversion factors, facilitating backscatter into extinction subsequently mass concentration. decoupling scheme applied to observations from Cloud–Aerosol Infrared Pathfinder Satellite Observations (CALIPSO) at 532 nm. final products consist fine mode coarse dust, quality-assured profiles coefficient nm, concentration for each components. datasets are established primarily with original L2 horizontal (5 km) vertical (60 m) resolution Orthogonal Polarization (CALIOP) along CALIPSO orbit path secondly averaged seasonal–temporal resolution, 1° × spatial CALIPSO, focusing latitudinal band extending 70° S N covering more than 15 years Earth (June 2006–December 2021). quality CALIPSO-based assessed through use AERONET aerosol optical thickness (AOT) interpolated nm AERosol properties – Dust (AER-D) campaign airborne situ particle size distributions (PSDs) reference during conditions characterized presence. considered unique respect wide range potential applications, including climatological, time series, trend analysis over extensive geographical domains temporal periods, validation models reanalysis datasets, assimilation activities, investigation role radiation air quality.

Language: Английский

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Forecasting and alert of atmospheric bioaerosol concentration profile based on adaptive genetic algorithm back propagation neural network, atmospheric parameter and fluorescence lidar

Atmospheric Environment X, Journal Year: 2024, Volume and Issue: 22, P. 100248 - 100248

Published: March 6, 2024

Bioaerosols are biologically originated particles in the atmosphere, which is mainly composed of bacteria, fungi, viruses, pollen, spores, and fragmentation disintegration plants animals. easy to be spread lower atmosphere cause various epidemic diseases, harmful human health. The forecasting alert bioaerosols have important scientific significance reality needs. In this paper, a method proposed for estimating predicting concentration profile atmospheric using fluorescence lidar observational data. Using powerful nonlinear prediction ability artificial neural networks through repeated training, mathematical model can established relationship among environment, meteorological parameters, bioaerosol profiles. input parameters temperature humidity, aerosol extinction coefficient, backscatter PM2.5, PM10, SO2, NO2, CO, O3, wind speed, outputs bioaerosols. results with measurement relative deviation genetic algorithm back propagation (GA-BP) network adaptive (AGA-BP) were analyzed. indicate that AGA-BP effectively predict distribution bioaerosols, predicted concentrations 1793 × m−3, 3088 5261 7410 m−3 9133 air quality superior, fine, mild contamination, middle level pollution heavy at an altitude 0.315 km, respectively. We found weather much higher than good weather. Furthermore, was used profiles under different conditions, provided new research

Language: Английский

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Innovative aerosol hygroscopic growth study from Mie–Raman–fluorescence lidar and microwave radiometer synergy

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(11), P. 3367 - 3375

Published: June 3, 2024

Abstract. This study focuses on the characterization of aerosol hygroscopicity using remote sensing techniques. We employ a Mie–Raman–fluorescence lidar (Lille Lidar for Atmospheric Study, LILAS), developed at ATOLL platform, Laboratoire d'Optique Atmosphérique, Lille, France, in combination with RPG-HATPRO-G5 microwave radiometer to enable continuous and water vapor monitoring. identify hygroscopic growth cases when an layer exhibits increase both backscattering coefficient relative humidity. By examining fluorescence coefficient, which remains unaffected by presence vapor, potential temperature, absolute humidity, we verify homogeneity layer. Consequently, change is solely attributed uptake. The Hänel theory employed describe evolution humidity introduces γ, depends type. particularity this method revolves around use take into account correct concentration variations Case studies conducted 29 July 9 March 2021 examine, respectively, urban smoke For case, γ estimated as 0.47 ± 0.03 532 nm; estimation 0.5 0.3. These values align those reported literature particles. Our findings highlight efficiency synergy characterizing hygroscopicity. results contribute advance our understanding atmospheric processes, aerosol–cloud interactions, climate modeling.

Language: Английский

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Retrieval and analysis of the composition of an aerosol mixture through Mie–Raman–fluorescence lidar observations

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(13), P. 4137 - 4152

Published: July 15, 2024

Abstract. In the atmosphere, aerosols can originate from numerous sources, leading to mixing of different particle types. This paper introduces an approach partitioning aerosol mixtures in terms backscattering coefficients. The method utilizes data collected Mie–Raman–fluorescence lidar, with primary input information being coefficient (β), depolarization ratio (δ), and fluorescence capacity (GF). is defined as at laser wavelength. By solving a system equations that model these three properties (β, δ GF), it possible characterize three-component mixture. Specifically, assesses contributions smoke, urban, dust overall 532 nm. It important note (δ GF) may exhibit variations even within specified type. To estimate associated uncertainty, we employ Monte Carlo technique, which assumes GF are random values uniformly distributed predefined intervals. each run, solution obtained. Rather than relying on singular solution, average computed across whole set solutions, their dispersion serves metric for uncertainty. methodology was tested using observations conducted ATOLL (ATmospheric Observation liLLe) observatory, Laboratoire d'Optique Atmosphérique, University Lille, France.

Language: Английский

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