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Unified quantitative observation of coexisting volcanic sulfur dioxide and sulfate aerosols using ground-based Fourier transform infrared spectroscopy

机译:使用地面傅里叶变换红外光谱分析统一对二氧化硫二氧化硫和硫酸盐气溶胶的定量观察

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We developed an optimal-estimation algorithm to simultaneously retrieve, for the first time, coexisting volcanic gaseous SO2 and sulfate aerosols (SA) from ground-based Fourier transform infrared (FTIR) observations. These effluents, both linked to magmatic degassing process and subsequent atmospheric evolution processes, have overlapping spectral signatures leading to mutual potential interferences when retrieving one species without considering the other. We show that significant overestimations may be introduced in SO2 retrievals if the radiative impact of coexistent SA is not accounted for, which may have impacted existing SO2 long-term series, e.g. from satellite platforms. The method was applied to proximal observations at Masaya volcano, where SO2 and SA concentrations, and SA acidity, were retrieved. A gas-to-particle sulfur partitioning of 400 and a strong SA acidity (sulfuric acid concentration: 65 %) were found, consistent with past in?situ observations at this volcano. This method is easily exportable to other volcanoes to monitor magma extraction processes and the atmospheric sulfur cycle in the case of ash-free plumes.
机译:我们开发了一种最佳估计算法,首次将火山气体SO2和硫酸盐气溶胶(SA)同时检索,从基于地基傅里叶变换红外(FTIR)观察。这些污水与岩浆脱气过程和随后的大气进化过程有关,具有重叠的光谱签名,当在不考虑另一个物种时,在检索一个物种时导致相互潜在的干扰。我们表明,如果共存SA的辐射冲击未占该辐射的影响,则可以在SO2检索中引入显着的高度估计,这可能影响了现有的SO2长期系列。来自卫星平台。将该方法应用于Masaya火山的近侧观察,其中检索SO2和SA浓度和SA酸度。发现400颗颗粒硫含量和强度SA酸度(硫酸浓度:65%),与过去的原位观察一致。该方法容易出口到其他火山,以监测无灰羽的情况下的岩浆提取过程和大气硫循环。

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