Halogen activation in the plume of Masaya volcano: field observations and box model investigations
Summary (5 min read)
1 Introduction
- The relatively simple detection of BrO by differential optical absorption spectroscopy (DOAS) promoted research on the origin and fate of BrO in volcanic plumes.
- Both the transformation of halogen species in the plume and their fate in the atmosphere are of interest.
2 Volcanic plume halogen chemistry
- Besides numerous field surveys at various volcanoes, several atmospheric modeling studies have been conducted that have improved their understanding of the complex chemical reactions in volcanic plumes marking the interface between volcanic trace gases (and aerosols) and ambient air.
- The models used in this study (MISTRA; PlumeChem; and Chemistry As A Boxmodel Application Module Efficiently Calculating the Chemistry of the Atmosphere, CAABA/MECCA) are initialized with the gas composition of a so-called “effective source region”.
- The suitability of the HSC model to represent hightemperature chemistry in the plume has been debated, and it has recently been shown that the chemistry should be better represented by a kinetics model (Martin et al., 2012; Roberts et al., 2019).
- Under ozone consumption, A subsequent uptake into aerosol enables the conversion of HBr into Br2, which partitions into the gas phase and is photolyzed to give two Br radicals and start the cycle again (Reaction R5a).
- The major reaction pathways that involve the formation and degradation of BrO in volcanic plumes are shown in Table 1.
3.1 Site description and flight/sample strategy
- The lava lake has been associated with large volcanic gas emissions, making it one of the largest contributors of SO2 emissions in the Central American volcanic arc (Martin et al., 2010; de Moor et al., 2017; Aiuppa et al., 2018).
- Due to the high emission rates and the low-altitude ground-hugging plume, Masaya volcano has a severe environmental impact on the downwind areas, affecting human and animal health and vegetation (Delmelle et al., 2002; van Manen, 2014).
- These halogen values are considered to be on the high end observed in magmas and plumes, yet they are rather typical for arc volcanism (Aiuppa, 2009; Gutmann et al., 2018).
- UAV-based sampling was conducted in the plume hovering over the Nindirí crater and above the caldera bottom and caldera rim (red points in Fig. 1d).
3.2 Alkaline traps
- Total halogen amounts were obtained by ground-based sampling using alkaline traps (Raschig tubes, RTs, and Drechsel bottles, DBs) (Liotta et al., 2012; Wittmer et al., 2014) at the locations marked in Fig.
- The alkaline solution quantitatively captures acidic gas species, due to an acid–base reaction, and enables the determination of total halogens (F, Cl, Br, and I) and sulfur (S) concentrations.
- Total volume data logging enabled mixing ratio calculation of the RT samples.
- These samples were used for gas ratio comparisons over a longer time period.
3.3 Gas diffusion denuder sampling
- Reactive halogen species (RHS) were sampled by gas diffusion denuder samplers using 1,3,5-trimethoxybenzene as a reactive coating (Rüdiger et al., 2017) on borosilicate brown- Atmos.
- It is not yet experimentally evidenced that the denuder technique is completely naïve to halogen radicals, although following the chemical reaction mechanism, the reaction of the denuder coating with halogen radicals is unlikely.
- For the UAV-based sampling, a remotely controlled sampler (called Black Box) was used and is described in detail in Rüdiger et al. (2018).
- Furthermore, the SO2 sensor signal was transmitted to the remote control, which helped to identify regions of high SO2 concentrations in real time.
3.4 Unoccupied aerial vehicle sampler
- The UAV used for this study is a small four-rotor multicopter with foldable arms (Black Snapper, Globe Flight, Germany) called RAVEN (Rüdiger et al., 2018).
- Global Positioning System (GPS) data of the flights were recorded on board using the micro-SD data logger (Core 2, Flytrex, Aviation, Tel Aviv, Israel) with a 2 Hz time resolution.
- The four batteries of the UAV were charged in the field with a car battery, enabling up to eight flights per day.
3.5 DOAS
- DOAS measurements of SO2 and BrO were performed by a scanning-DOAS station from NOVAC (Galle et al., 2010), which is located approximately 1.5 km west-southwest of Santiago crater at an altitude of 387 m a.s.l. (above sea level, Aiuppa et al., 2018).
- This UV spectrometer records the intensity spectra of the diffuse solar radiation over a wavelength range from 280 to 450 nm for different viewing angles by scanning the sky from horizon to horizon at steps of 3.6◦.
- Due to a data gap caused by an instrument outage, DOAS data for July 2016 were not available; therefore, the times series only covers the later part of the field study.
- This distance was used to estimate plume ages for BrO /SO2 ratios, by dividing 1.4 km by the wind speed obtained for the respective BrO /SO2 ratios.
- This wind speed was based on ground-based measurements with a handheld anemometer that were taken during the field campaigns at the rims of Santiago and Nindirí craters.
4 Modeling
- In order to compare the results of the field measurements of RHS with theoretical predictions, the CAABA/MECCA (Sander et al., 2011) box model was used.
- In its base configuration, CAABA/MECCA simulates the chemistry of an atmospheric air parcel.
- The atmospheric box model was initialized with the gas composition of the effective source region that was calculated by the thermodynamic equilibrium model HSC (HSC 6.1, Outotec, Finland) and then quenched with ambient air to start the atmospheric model, similar to earlier works (e.g., Gerlach, 2004; Bobrowski et al., 2007; Roberts et al., 2009, 2014).
4.1 Thermodynamic equilibrium model (HSC)
- Data from field measurements in 2016 determined the initial conditions for the model runs.
- The sums of all gas mixing ratios were set to 100 % to estimate the magmatic gas composition.
- The high-temperature magmatic gas composition was mixed with different percentages of ambient atmospheric background air resulting in different atmospheric– magmatic gas ratios (VA : VM), according to the calculations of Martin et al. (2006).
4.2 Atmospheric box model (CAABA/MECCA)
- The start point of the atmospheric chemistry box model was set to be within Santiago crater, so the plume reaching the crater rim has already experienced chemical reactions.
- Thus, the authors were able to compare their field measurement results with the model output.
- In the box model, the dilution was achieved by adding an amount of ambient air, mixing it, and then removing the same amount of mixed plume at a rate that achieves dilution to 1/e (0.37) over the dilution times listed in Table 3.
- The aerosol chemical composition was set to be a 1 : 1 sulfuric acid / sulfate aerosol composition with ion concentrations according to the Köhler equation (Laaksonen et al., 1998) and given radii, temperature, and relative humidity.
- The progressions of the respective reactive bromine species (BrX and r-Br) were fitted over the estimated plume age, and the fit coefficients were compared with the coefficients from the field data to find the best agreement by minimizing the deviation of the respective fit parameters.
5 Results and discussion
- For samples taken on the ground, for example at the Santiago or Nindirí crater rims, the data include denuder (reactive halogens such as Br2, BrCl, or, in general, BrX and ClX) and RT samples (total halogens such as total bromine, Br, chlorine, Cl), whereas for aerial samples (e.g., caldera valley), RT data are not available.
- A comparison of an RT sample simultaneously taken with Multi-GAS measurements resulted in 4.18± 0.22 ppm of SO2 in the RT sample and an average mixing ratio of 3.95± 0.20 ppm SO2 for the Multi-GAS data.
- Therefore, the authors regard the alkaline trap sulfur and the electrochemically sensed SO2 as equivalent and use measured SO2 mixing ratios as a plume dilution marker.
- The uncertainties of the obtained ratios are derived by the propagation of the errors of the analytical procedure and the sampling parameters.
- This includes the errors of gas chromatography–mass spectrometry (GCMS), IC, and ICP-MS measurements as well as uncertainties in the sampling flow rate and the solution volume.
5.1 Total halogens
- The alkaline trap samples were analyzed by IC and ICP-MS: sulfur, fluorine, and chlorine amounts were obtained by IC, and bromine and iodine amounts were derived from ICP-MS analysis.
- During this time, precipitation events might have affected the incorporated plume Hal /S ratios due to the different scavenging efficiencies for each halogen compound and the water solubilities of the respective gases.
- A significant change in the I /S ratio is observable between July and September (higher values in September), whereas the other Hal /S ratios do not change largely over this period (see Fig. S6).
- Based on the CO2 /SO2 ratio, Aiuppa et al. (2018) reported increased CO2 emissions associated with the increased level and extension of the lava lake.
5.2 Reactive halogens
- Reactive halogens were measured by gas diffusion denuder sampling.
- The reactive halogen data are categorized by their sampling location, and the median of the species ratios for each location was calculated along with their propagated uncertainties (Table 6).
- The uncertainties in the distance were estimated for each location based on the spatial distribution of the respective samples.
- Therefore, SO2 might be underestimated, and the BrX /S ratio might be overestimated in the diluted plume.
5.3 Nighttime sample anomaly
- One simultaneous denuder and RT sample was taken during a nighttime visit to the Santiago crater rim in 2016 (sampling duration approx.
- This sample shows an anomalous value for reactive chlorine (see Fig. 4).
- The values for reactive bromine and iodine are similar to those measured at the same location during the day.
- Therefore, contamination by a calibration standard during the analysis can be ruled out.
- A fraction of the HalX species is already formed by high-temperature reactions on the surface of the lava lake (e.g., Br2 and Cl2) (Martin et al., 2006) and can be measured at the Santiago crater rim without involving photochemistry.
5.4 Comparison with box model results
- A two-stage chemistry modeling approach (see Sect. 1) was applied to analyze the field observations.
- The two major objectives were (1) investigating the field data for plausibility and (2) applying the CAABA/MECCA box model in the field of volcanic plume chemistry.
- Each model run simulated the progression of the set of model species during the first 25 min.
- The routine compares the fit parameters of the progression of the measurement data with the respective model speciation output for bromine (see Sect. 4.2 and Fig. S2).
- Only the BrX /Br progressions are discussed in more detail for the sake of clarity.
5.4.1 Bromine chemistry
- For the BrX /Br progression, the best matching scenarios are presented in Fig. 6 (dashed lines).
- Therefore, two scenarios with magmatic and atmospheric HxOy /NOx composition are investigated as extremes, representing the HSC output and the atmospheric background composition, respectively.
- For the BrX /S ratios (Fig. 6b), the model underpredicts the field observations.
- The measured BrO /SO2 progression (Fig. 6c) could be reproduced by various model runs with different VA : VM ratios, HxOy /NOx mixing ratios, and initial start concentrations.
- As the modeled outgassing of Br2 is faster than the uptake of HBr and HOBr, bromide is depleted from the particles.
5.4.2 Input parameter sensitivity analysis
- The so-called base run of the CAABA/MECCA box model, which encompasses the set of parameters from Table 3 that produced the most proximal model recreation of the field observations of the BrX /Br was chosen to study the sensitivity of the model with respect to changes in the initial start conditions.
- The model run shown in Fig. 7c was chosen as the model base run.
- Less quenching, indicated by higher SO2 mixing ratios, leads to less r-Br formation (relative to total Br) and increases the fraction of Br radicals.
- The shape of the BrX species’ progression in the scenarios with less quenching (30 to 500 ppmv SO2) and slower dilution time (30 and 60 min) is related to a substantial consumption of ozone in the modeled plume (see Fig. S5).
- After reaching a certain threshold, enough aerosol particles are present such that the Br activation is not limited by this parameter.
5.4.3 Chlorine and iodine chemistry
- The HSC model produces reactive chlorine and iodine species.
- ClONO2 and OClO are formed over the model runtime, and the measured reactive chlorine species are of the order of the model predic- Atmos.
- Diatomic iodine species are formed during the first minute of the box model simulation alongside HOI by reactions analogous to Reactions (R1) and (R2).
- For a more distant position, the measurements and the model diverge (Fig. 9c), although a smaller loss rate of OIO and further aqueous chemistry of IxOy(aq) could potentially explain the measured reactive iodine species downwind.
- Furthermore, ultrafine and newly formed particles (< 10 nm) consisting of IxOy could also diffuse to the denuder walls and react with the coating, thereby inducing a false reactive iodine signal.
6 Conclusion and outlook
- Additionally, the application of different techniques allowed for the most detailed observation of changes in the halogen speciation during the first 11 min following the gas https://doi.org/10.5194/acp-21-3371-2021.
- In addition to their field studies, the authors applied the CAABA/MECCA box model to test if their current understanding of bromine chemistry in volcanic plumes fits their experimental results, assuming reasonable input data for the species not measured.
- For iodine, the implementations of iodine chemistry, such as the knowledge on iodine oxide particle formation, into the model are necessary to enable a qualified comparison with the observed iodine data.
- JR, AG, NB, JMdM, MI, MM, AF, and JS performed field sample and data collection.
- This paper was edited by Rolf Müller and reviewed by Christoph Kern, Tjarda Roberts, and one anonymous referee.
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Cites background or methods or result from "Halogen activation in the plume of ..."
...A more recent study by Rüdiger et al. (2021) used the CABBA/MECCA box model....
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...Modern techniques now allow for a degree of speciation in the bromine observed through these methods (Rüdiger et al., 2017, 2021)....
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...Note that only a small fraction of chlorine emissions undertakes reactive chemistry in plumes, and this small fraction is mostly activated as a result of bromine chemistry (Rüdiger et al., 2021, and references therein)....
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...We exclude BrNO2 as previous studies have found it to be a negligible component (Roberts et al., 2014; Rüdiger et al., 2021)....
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References
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"Halogen activation in the plume of ..." refers background in this paper
...The most abundant gases in volcanic emissions are water, carbon dioxide, sulfur compounds, and hydrogen halides (Symonds et al., 1994)....
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429 citations
"Halogen activation in the plume of ..." refers background or methods in this paper
...They attributed this observation to the incomplete activation of Br in the plume center and dominance of Br2 formation (R4a) over BrCl formation (R4b) with an undepleted reservoir of particulate Br. However, Kern et al. (2009) did not detect ClO or OClO in the plume of Masaya close to the vent, but presented a detection limit for ClO/SO2 and OClO/SO2 of 5×10 and 7×10, respectively. Since the ClX/S ratios potentially include ClO and OClO as reactive chlorine species, we applied a calculation by Kern et al. (2009) to compare our results with 5 their detection limit (for long path DOAS). Under the assumption that ClX is made up by ClO, a potential OClO/SO2 ratio of 6.5×10 was calculated by employing the rate constant and photolysis frequency for the formation and depletion of OClO at an average SO2 mixing ratio of 6 ppmv at the crater rim measurement site. With this calculated ratio being below the estimated detection limit for OClO by Kern et al. (2009) our observations are in agreement with their DOAS measurements conducted in 2007....
[...]
...They attributed this observation to the incomplete activation of Br in the plume center and dominance of Br2 formation (R4a) over BrCl formation (R4b) with an undepleted reservoir of particulate Br. However, Kern et al. (2009) did not detect ClO or OClO in the plume of Masaya close to the vent, but presented a detection limit for ClO/SO2 and OClO/SO2 of 5×10 and 7×10, respectively. Since the ClX/S ratios potentially include ClO and OClO as reactive chlorine species, we applied a calculation by Kern et al. (2009) to compare our results with 5 their detection limit (for long path DOAS)....
[...]
...They attributed this observation to the incomplete activation of Br in the plume center and dominance of Br2 formation (R4a) over BrCl formation (R4b) with an undepleted reservoir of particulate Br. However, Kern et al. (2009) did not detect ClO or OClO in the plume of Masaya close to the vent, but presented a detection limit for ClO/SO2 and OClO/SO2 of 5×10 and 7×10, respectively....
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Q2. What are the future works mentioned in the paper "Halogen activation in the plume of masaya volcano: field observations and box model investigations" ?
However, more detailed speciation within the reactive fraction is a desirable topic for future research. Detailed measurements in the field and further studies in controlled environments, like atmospheric simulation chambers, will help to further assess bromine activation in volcanic plumes. For this purpose, other selective denuder coatings will be developed and applied to further distinguish between species such as Br2, BrCl, or BrNO3 and Br radicals. As BrO detection is possible with DOAS spectrometers and has already been conducted at numerous volcanoes, the influencing factors on the extent of its formation need to be studied further, in particular with respect to its potential as a volcanic forecasting parameter and its use to estimate total bromine emissions.