Volatile Sources Research Articles

The Earth atmosphere‐like bulk nitrogen isotope composition obtained by stepwise combustion analyses of Ryugu return samples

AbstractThe nitrogen isotope compositions of two samples returned from the asteroid Ryugu were determined using a stepwise combustion method, along with Ivuna (CI) and Y‐980115, a CI‐like Antarctic meteorite, as references. The two Ryugu samples A0105‐07 and C0106‐07 showed bulk δ15N values of +1.7 ± 0.5‰ and +0.2 ± 0.6‰, respectively, significantly lower than Ivuna with +36.4 ± 0.4‰, but close to Y‐980115 with +4.0 ± 0.3‰. The Ryugu samples are further characterized by C/N and 36Ar/N ratios up to 3.4× and 4.9× the value of Ivuna, respectively. Among all Ryugu samples and CI chondrites, a positive correlation was observed between nitrogen concentrations and δ15N values, with samples with lower nitrogen concentrations exhibiting lower δ15N. This trend is explained by a two‐component mixing model. One component is present at a constant abundance among all CI‐related samples, with a δ15N value around 0‰ or lower. The other varies in abundance between different samples, and exhibits a δ15N value of +56 ± 4‰. The first 15N‐poor endmember is seemingly tightly incorporated into a carbonaceous host phase, whereas the 15N‐rich endmember can be mobilized and decoupled from carbon, potentially because it is in the form of ammonia. Asteroid materials with volatile compositions that are similar to those reported here for the Ryugu samples are attractive candidates for the volatile sources among Earth's building blocks.

Crude oil price volatility—An unintended consequence of carbon pricing: Evidence from transfer entropy and wavelet-partial wavelet coherence analyses

The urgent need to achieve the COP-27 targets has become evident due to the more frequent and severe climate-induced disasters and their socioeconomic consequences. The adverse effects of climate change highlight the need for an immediate shift away from fossil fuels without compromising economic development. Internalization of the negative externality in market transactions through the imposition of carbon pricing is widely touted as the most economically efficient means of solving this problem. This study, however, argues that crude oil price volatility could be an unintended consequence of carbon pricing. To this end, information flows between the European Union Emissions Trading Scheme and crude oil price volatility are examined through transfer entropy and wavelet-partial wavelet coherence analyses. Daily data from January 1, 2014 to July 1, 2023 are analyzed. The transfer entropy results show that information on carbon pricing reduces uncertainty about crude oil price volatility and vice versa, indicating that carbon pricing would be quite informative in building models to predict crude oil price volatility. The wavelet-partial coherence analyses reveal that the surge in carbon prices experienced in the late 2010s induced crude oil volatility, whereas the crude oil price volatility triggered by the COVID-19 pandemic forced carbon prices down. This study therefore identifies carbon price movements as a legitimate fear for policymakers, as it is a new source of volatility in conventional energy markets. Caution should thus be the watchword regarding optimal carbon pricing. Aiming to rapidly attain the full optimal carbon price is not recommended. Rapid changes in carbon prices will have strong redistributive implications across economies.

Identification of the contagion effect in China's financial market uncertainties: A multiscale and dynamic perspective

Uncertainty is a crucial source of financial market volatility. Unlike previous research considering uncertainty from holistic and static viewpoints, we investigate the contagion effect of financial market uncertainties from a combined time-frequency and dynamic perspective. In a data-rich environment, we construct various uncertainty indices for China's financial market based on forecast errors and examine their contagion effect using a combined wavelet transform and network analysis. We also simulate dynamic contagion patterns under three different extreme scenarios, including a short-term liquidity crisis, a medium-term stock market crash and long-term central bank monetary policy shocks. The results indicate that the short-term fluctuations in China's financial market uncertainty exhibit a greater contagion intensity but with limited range. However, long-term uncertainty shocks exhibit a broader scope, but their impact intensity is significantly mitigated. Moreover, the liquidity crisis does not present a wide impact at the early stage, whereas the contagion pattern of the stock market crash shows explosive characteristics.

Volatile organic compounds emitted by Megaplatypusmutatus associated fungi: chemical identification and temperature-modulated responses by the ambrosial beetle

BackgroundIn ambrosia and bark beetles–fungi interaction, volatile organic compounds (VOCs) play a central role in mediating various aspects of community dynamics of beetles and/or fungi. These functions include facilitating beetle habitat location, mate identification, and fungal partner differentiation. However, the understanding on this context remains limited, especially in the globally distributed subfamily Platypodinae, which comprises predominantly ambrosia beetles. There is a lack of chemical data on ambrosia fungi from native South American species. This study addresses this gap by characterizing VOCs from twelve fungal species associated with Megaplatypusmutatus and assessing species-specific behavioral responses during dispersal.MethodsFungal VOCs were collected by gas chromatography–mass spectrometry combined with solid-phase microextraction and Y-olfactometry assays of males and females were performed at dispersal stage. Statistical analyses involved: non-metric multidimensional scaling multivariate plot and PERMANOVA test, a cluster analysis through unweighted pair group method with Jaccard index, and finally, a chi-square goodness-of-fit test for beetle behavioral assays.ResultsWe identified 72 VOCs from the fungal species isolated from M.mutatus galleries, exocuticle, and gut. The olfactory behavior of M.mutatus demonstrated its capacity to discriminate between volatile profiles, showing a preference for either the fungus or the control source. Our results also enhance the understanding in a chemotaxonomic context and in the behavioral responses of M.mutatus revealing the beetle's remarkable low temperature tolerance and its capability to maintain mobility and orientation toward volatile sources even after zero-degree Celsius exposure.ConclusionThis study presents a comprehensive insight into fungal VOC profiles, emphasizing the sources of isolation within pest associated fungi, as well as its symbiotic species from the Raffaelea genus. In conclusion, our findings suggest that Megaplatypusmutatus exhibits a general aversion to its fungal VOCs symbiont. However, a notable exception arises when the beetles are pre-exposed for 48 h to freezing conditions, highlighting the beetles' ability to withstand freezing conditions as adults and to exhibit altered responses to their fungal associates under these circumstances.

The effects of precipitation shocks on rural labour markets and migration

ABSTRACT The welfare of workers in rural areas is highly affected by agricultural output volatility, caused in part by weather shocks. A volatile source of income is an important factor in inducing migration. While the impact of rainfall shocks on migration is well studied, the channels through which these shocks affect migration are underexplored. In this paper we study the hypothesis that the labour market is an avenue that carries the effect of precipitation shocks on migration. This paper first establishes the effect of precipitation shocks on the labour market. We use individual-level data combined with station-based precipitation data of Iran at the rural-agglomeration level in a fixed-effects panel-data model to find that workers in agriculture and industry sectors decrease their hours of work in response to negative shocks. We then use a linear probability model to show that negative shocks almost double the probability of migration and labour-migration for young men in Iran. Estimations of this paper indicate that as unemployment rate in rural areas increases, migration out of those regions rises as well. Additionally, controlling for the local labour market conditions at origin captures the impact of shocks on migration, implying the labour market is a channel through which precipitation shocks affect migratory decisions.

Sources of Supply Chain Volatility: A Literature Review

Purpose: The purpose of this study was to identify the main source of supply chain volatility based on empirical literature, addressing the gap in existing research where consensus on this matter has been lacking.
 Methodology: Employing an interpretivist approach, this study utilized a bibliographic and qualitative research method. The researchers systematically reviewed literature from top publishing sites and journals, focusing on titles and abstracts containing the keyword 'supply chain volatility' spanning from 2013 to 2023. Through this process, a taxonomy of 15 articles was developed to synthesize existing knowledge on the subject.
 Findings: The results of the study indicate that demand variability emerges as the primary source of supply chain volatility, with 60% of the analyzed articles highlighting its significance. This finding underscores the critical role of demand fluctuations in driving supply chain disruptions and challenges.
 Unique Contribution to Theory, Practice and Policy: This study makes a unique contribution to existing literature by providing empirical evidence and consensus on the main source of supply chain volatility. By synthesizing and categorizing findings from diverse sources, it advances theoretical understanding of the factors underlying supply chain disruptions. The identification of demand variability as the primary source of supply chain volatility offers valuable insights for practitioners seeking to enhance supply chain resilience and mitigate disruptions. Understanding the central role of demand dynamics can inform strategic decision-making and risk management practices within organizations. The findings of this study have implications for policy-makers involved in shaping regulatory frameworks and industry standards related to supply chain management. By recognizing demand variability as a key driver of volatility, policymakers can tailor interventions and incentives to promote stability and efficiency in supply chains.

Pollution Characteristics and Risk Assessment of Polycyclic Aromatic Hydrocarbons in Soils of Guangzhou

In order to comprehensively study the pollution characteristics of polycyclic aromatic hydrocarbons （PAHs） in soils of Guangzhou， 222 topsoil samples were collected and analyzed. The ecological risk of soil PAHs pollution was evaluated using the effect interval low/median method （ERL/ERM） and the （BaP） toxicity equivalent method， and the health risk of soil PAHs pollution was evaluated using the lifelong cancer risk increment model. The source of PAHs was analyzed using the characteristic compound ratio method and PMF model. The results indicated that： the content of surface soil （∑16PAHs） in Guangzhou was 38-11 115 μg·kg-1， with an average of 526 μg·kg-1， and 16 types of polycyclic aromatic hydrocarbon monomers showed strong variation. There was a certain degree of ecological risk of PAHs in Guangzhou， and there was already a significant ecological risk of PAHs pollution in individual sampling points， which were generally in a state of mild pollution. Based on the results of the health risk assessment， the contribution rates of total cancer risk in both adults and children were presented as follows： skin contact > ingestion of soil > respiratory intake. The health risk of children was greater than that of adults， and the overall health risk was within an acceptable range. Source analysis showed that the main sources of soil PAHs in Guangzhou were coal （37.1%）； diesel （32%）； coking （17.3%）； and mixed sources of traffic emissions， biomass combustion， and petrochemical product volatilization （13.6%）. The overall source of soil PAHs belonged to mixed sources. The research results have enriched our understanding of the pollution status of PAHs in the surface soil of Guangzhou and are helpful in promoting soil pollution prevention and control actions.

Proof of Principle of the Lunar Soil Volatile Measuring Instrument on Chang’ e-7: In Situ N Isotopic Analysis of Lunar Soil

The nitrogen isotopic compositions of lunar soil have important implications for the sources of lunar volatiles and even the evolution of the moon. At present, the research on the lunar nitrogen isotopic compositions is mainly based on the lunar meteorites and the samples brought back by the Apollo and Luna missions. However, volatiles adsorbed on the surface of the lunar soil may be lost due to changes in temperature and pressure, as well as vibration and shock effects when the sample is returned. At the same time, in the case of low N content in the sample, since N is the main component of the earth’s atmosphere, it is easily affected by the atmosphere during the analysis process. Therefore, in situ nitrogen isotopic analysis of lunar soil on orbit is necessary to avoid the problems mentioned above and is one of the primary science goals for the Lunar Soil Volatile Measuring instrument on Chang’e-7 spacecraft. After the nitrogen purification procedure, the volatiles in lunar soil that are released through single-step or stepped heating techniques diffuse to the quadrupole mass spectrometer to obtain the N contents and isotopic compositions of the lunar soil. This paper introduces the ground test for N isotopic analysis of lunar soil in orbit according to the Lunar Soil Volatile Measuring Instrument. After long-term repeated measurements, the background and CO-corrected Air-STD 14N/15N ratio is 268.986 ± 4.310 (1SD, n = 35), and the overall reproducibility of measurements is 1.6%. The accuracy of N isotopic compositions is calculated to be better than 5%, which can distinguish different sources of N components in lunar soil.

What influences the dynamic spillovers of China’s financial market uncertainties?

ABSTRACT Uncertainty serves as a significant source of volatility in financial markets. The aim of this study is to examine the spillover effects of China’s financial market uncertainties (capital market, currency market, foreign exchange (FX) market and derivatives market) and their potential determinants. A large amount of economic and financial data is selected as the sample dataset to construct the financial uncertainty index by the combination of the stochastic volatility model and the Markov chain Monte Carlo algorithm. The TVP-VAR-DY model and the extreme bounds analysis model are also used to conduct spillover and determinant analyses. The results indicate that uncertainties in capital and currency markets primarily act as transmitters of spillover effects. The derivatives market uncertainty mainly serves as a recipient of influence from other markets, whereas the role of FX market uncertainty is relatively unstable. Moreover, international factors such as global economic policy uncertainty and the implied volatility index (VIX) have a more robust impact on spillover relationships among the four financial uncertainties, whereas domestic factors have the greater impact intensity.

Origin of Zn-Pb Mineralization of the Vein Bt23C, Bytíz Deposit, Příbram Uranium and Base-Metal Ore District, Czech Republic: Constraints from Occurrence of Immiscible Aqueous–Carbonic Fluids

The mineralogical, fluid inclusion, and stable isotope (C, O) study was conducted on a Late Variscan Zn-Pb vein Bt23C, Příbram uranium and base-metal district, Bohemian Massif, Czech Republic. The vein is hosted by folded Proterozoic clastic sediments in exo-contact of a Devonian-to-Lower-Carboniferous granitic pluton. Siderite, dolomite-ankerite, calcite, quartz, baryte, galena, sphalerite, V-rich mica (roscoelite to an unnamed V-analogue of illite), and chlorite (chamosite) form the studied vein samples. The banded texture of the vein was modified by the episodic dissolution of earlier carbonates and/or sphalerite. Petrographic, microthermometric, and Raman studies of fluid inclusions proved a complicated fluid evolution, related to the activity of aqueous fluids and to an episode involving an aqueous–carbonic fluid mixture. Homogenization temperatures of aqueous inclusions decreased from ~210 to ~50 °C during the evolution of the vein, and salinity varied significantly from pure water up to 27 wt.% NaCl eq. The aqueous–carbonic fluid inclusions hosted by late quartz show highly variable phase compositions caused by the entrapment of accidental mixtures of a carbonic and an aqueous phase. Carbonic fluid is dominated by CO2 with minor CH4 and N2, and the associated aqueous solution has a medium salinity (6–14 wt.% NaCl eq.). The low calculated fluid δ18O values (−4.7 to +3.6‰ V-SMOW) suggest a predominance of surface waters during the crystallization of dolomite-ankerite and calcite, combined with a well-mixed source of carbon with δ13C values ranging between −8.2 and −10.5‰ V-PDB. The participation of three fluid endmembers is probable: (i) early high-temperature high-salinity Na>Ca-Cl fluids from an unspecified “deep” source; (ii) late low-salinity low-temperature waters, likely infiltrating from overlying Permian freshwater partly evaporated piedmont basins; (iii) late high-salinity chloridic solutions with both high and low Ca/Na ratios, which can represent externally derived marine brines, and/or local shield brines. The source of volatiles can be (i) in deep crust, (ii) from interactions of fluids with sedimentary wall rocks and/or (iii) in overlying Permian piedmont basins containing, in places, coal seams. The event dealing with heterogeneous CO2-bearing fluids yielded constraints on pressure conditions of ore formation (100–270 bar) as well as on the clarification of some additional genetic aspects of the Příbram’s ores, including the reasons for the widespread dissolution of older vein fill, the possible re-cycling of some ore-forming components, pH changes, and occasionally observed carbon isotope shift due to CO2 degassing.

An experimental study of hydrogen implantation to minerals: Role of the solar wind as a source of water in terrestrial bodies

The solar wind is a possible source for hydrogen and other volatiles on planetary bodies. To better understand the role of the solar wind during the volatile acquisition of planetary materials, we conducted hydrogen implantation experiments on olivine, orthopyroxene, quartz single crystals. Depth profiles of hydrogen concentration after implantation are determined by the Nuclear Resonance Reaction Analysis. We find that energetic hydrogen particles penetrate into the sample and accumulate at a certain depth. The hydrogen concentration increases with the hydrogen fluence until a “saturation level” is attained. Hydrogen saturation level (e.g., ∼10–20 at.% in olivine, equivalent to 0.5–1.2 wt%) far exceeds the equilibrium solubility in the bulk crystal at a similar thermodynamic condition (∼10−22 wt%). The results of olivine show that the hydrogen penetration depth increases whereas the saturation level decreases (weakly) with the beam energy. Hydrogen saturation level also depends on the mineral species in the order: olivine > orthopyroxene > quartz. The experimental results can be applied to explain some observations on the high surface water content of some planetary bodies including Itokawa asteroid and the Moon. We also explore the possibility of hydrogenated dusts by the solar wind implantation as a source for water on terrestrial planets. We conclude that if all dusts were exposed to the solar wind and all implanted hydrogen were converted to water, then >10 ocean masses would have been acquired for Earth by ∼100 years. However, the main part of the proto-planetary disk was not exposed to the solar wind and dusts could have been hydrogenated only when they were far from the equatorial plane of the disk. We discuss a possible mechanism to transport the hydrogenated dusts to the disk interior via turbulent mixing. Also, our experimental results and the mass dependence of the particle energies in the solar wind suggest that the D/H ratio of the dusts exposed to the solar wind will be higher than the solar wind value.

Characteristics and Source Apportionment of VOCs Initial Mixing Ratio in Beijing During Summer

To clarify the characteristics and source apportionment of the VOCs initial mixing ratio in Beijing in summer, continuous monitoring of VOCs was conducted in the Beijing urban area from May to August 2022, and the initial mixing ratio was calculated using the photochemical ratio method. The results showed that:① during the study period, initial φ(TVOCs) in the Beijing urban area were (30.0 ±11.5)×10-9, in which the proportion of VOCs and alkanes containing oxygen reached 34.2% and 33.2%, respectively. The species with high volume fractions were low carbon substances such as acetone, ethane, acetaldehyde, and propane. ② The initial TVOCs mixing ratio in Beijing showed a slightly unimodal trend, reaching the peak at 11:00 and slightly decreasing in the afternoon. ③ Isoprene, acetaldehyde, n-butanal, and ethylene were the major contributors to the generation of O3, whereas toluene, isoprene, m-paraxylene, and ethylbenzene were the major contributors to the generation of secondary organic aerosols. ④ Based on the initial mixing ratio of PMF analysis, it was found that aging background and secondary sources (30%) contributed the most to VOCs in Beijing, and motor vehicle sources (25%) were the main primary human sources. In addition, solvent and fuel volatile sources contributed 16%, combustion sources contributed 11%, industrial process sources contributed 9%, and natural sources contributed 9%. ⑤ The anthropogenic sources of Beijing were mainly from the eastern and southern regions, whereas the natural sources were from the western and northwestern regions. This research showed that vehicle emissions should be further reduced, and regional joint prevention and control to reduce VOCs in the whole region is an effective means to control VOCs in Beijing.

Volatiles Detection in Lunar Polar Region

In lunar science, volatiles are defined as chemical elements and unstable compounds, evaporating, sublimating, or flowing in other ways at low temperature. At moderate temperature, volatiles transfers its flowing elements from solid materials to coexisting gas phases. Such substances include S, Cu, Zn, As, Se, Ag, Cd, In, Te, Hg, Ti, Pb, Bi, and halogens (F, C L, Br, and I). These volatile substances are mainly added by small impactors, so they should be uniformly deposited in lunar regolith. In the permanently shaded regions (PSRs) of the lunar polar region, the extremely low temperature may allow the solar activity record to be kept longer. When the lunar soil is heated, it will release volatile elements in the form of gas, especially the particles injected into the lunar soil by the solar wind. In deeper lunar soil, it means that these particles were implanted in different periods of solar evolution. The study of regolith in polar PSRs may help to solve this problem, because it has not been widely heated and therefore may not be subjected to postimplantation modification. The research on volatiles detection in lunar polar region can help us confirm the content and distribution of water ice in the permanent shadow region of the lunar polar region, and the composition, distribution, source, transport and loss mechanism of other volatiles in this region, as well as the relationship between lunar soil in the polar region and the ancient solar wind environment, and the environment and mineral resources in the region. Chandrayaan-3 provided important assistance to the conceptualization of this project. At the end of the article, we discussed the lunar orbit.

An electronic nose can identify humans by the smell of their ear.

Terrestrial mammals identify conspecifics by body odor. Dogs can also identify humans by body odor, and in some instances, humans can identify other humans by body odor as well. Despite the potential for a powerful biometric tool, smell has not been systematically used for this purpose. A question arising in the application of smell to biometrics is which bodily odor source should we measure. Breath is an obvious candidate, but the associated humidity can challenge many sensing devices. The armpit is also a candidate source, but it is often doused in cosmetics. Here, we test the hypothesis that the ear may provide an effective source for odor-based biometrics. The inside of the ear has relatively constant humidity, cosmetics are not typically applied inside the ear, and critically, ears contain cerumen, a potent source of volatiles. We used an electronic nose to identify 12 individuals within and across days, using samples from the armpit, lower back, and ear. In an identification setting where chance was 8.33% (1 of 12), we found that we could identify a person by the smell of their ear within a day at up to ~87% accuracy (~10 of 12, binomial P < 10-5), and across days at up to ~22% accuracy (~3 of 12, binomial P < 0.012). We conclude that humans can indeed be identified from the smell of their ear, but the results did not imply a consistent advantage over other bodily odor sources.

Effect of Economic Policy Uncertainty on Exchange Rate Volatility in Pakistan

This study examines the effect of economic policy uncertainty on Pakistan’s exchange rate. Pakistan’s exchange rate always remains under pressure due to the widening inflow-outflow gap in foreign exchange. The volatile exchange rates make it harder for businesses to invest and make inflation more uncertain, which ultimately slows down productivity and GDP growth. Due to the close linkages of the exchange rate with the economic indicators, it is required to examine the effect of different economic variables on the exchange rate and its volatility by incorporating the role of economic policy uncertainty. The study uses the sample of Jan 2011 to Dec 2022 for the empirical results. The study employs the EGARCH model for empirical results. The aftermaths of the mean equation of the EGARCH model suggest that economic policy uncertainty has a positive effect on Pakistan’s exchange rate. Moreover, an increase in the economic policy uncertainty scale, increases the volatility in Pakistan’s exchange rate. The primary source of exchange rate volatility is the nominal variable rather than the real variables. On the basis of the study’s findings, certain relevant recommendations were given in order to stabilize the foreign exchange market in Pakistan.

Macroeconomic Impacts of Global Oil and Commodity Price Shocks on the Economy of Pakistan

The effects of oil and commodity price shocks on Pakistan's real exchange rate, inflation rate, government spending, money market rate, and industrial output are examined using monthly data from 2000-2017. Using the vector autoregressive (VAR) paradigm, we do an empirical investigation. Impulse response functions and generalized prediction variance decompositions are used to analyze the effect that fluctuations in oil and commodities prices have on Pakistan's economy. When the world oil price (LWOP) causes shock in the global oil market, the real exchange rate (LRER) shows a negative impulse response function. As a result of the rising cost of crude oil throughout the globe, inflation has been on the rise. Industrial output falls, the real exchange rate rises, and interest rates and inflation go up as a result of shocks. Despite increased industrial production, commodities prices have seen repercussions. Pakistan's interest rate follows shocks by rising for a prolonged period, much as the money market rate (MMR)or interest rate. After oil and commodity price shocks, governments tend to increase their spending. The real effective exchange rate is the primary source of economic volatility, as shown by generalized impulse response functions. Pakistan's economy has been hit hard by the shocks, especially the aftershocks in the currency rate. A depreciating currency rate is being seen in Pakistan. The real effective exchange rate is the main cause of fluctuations in the economy, as demonstrated by tools called generalized impulse response functions.

Health expenditure: how much is spent on health and care worker remuneration? An analysis of 33 low- and middle-income African countries

ObjectivesTo assess the amount spent on health and care workforce (HCW) remuneration in the African countries, its importance as a proportion of country expenditure on health, and government involvement as a funding source.MethodsCalculations are based on country-produced disaggregated health accounts data from 33 low- and middle-income African countries, disaggregated wherever possible by income and subregional economic group.ResultsPer capita expenditure HCW remuneration averaged US$ 38, or 29% of country health expenditure, mainly coming from domestic public sources (three-fifths). Comparable were the contributions from domestic private sources and external aid, measured at around one-fifth each—23% and 17%, respectively. Spending on HCW remuneration was uneven across the 33 countries, spanning from US$ 3 per capita in Burundi to US$ 295 in South Africa. West African countries, particularly members of the West African Economic and Monetary Union (WAEMU), were lower spenders than countries in the Southern African Development Community (SADC), both in terms of the share of country health expenditure and in terms of government efforts/participation. By income group, HCW remuneration accounted for a quarter of country health expenditure in low-income countries, compared to a third in middle-income countries. Furthermore, an average 55% of government health expenditure is spent on HCW remuneration, across all countries. It was not possible to assess the impact of fragile and vulnerable countries, nor could we draw statistics by type of health occupation.ConclusionsThe results clearly show that the remuneration of the health and care workforce is an important part of government health spending, with half (55%) of government health spending on average devoted to it. Comparing HCW expenditure components allows for identifying stable sources, volatile sources, and their effects on HCW investments over time. Such stocktaking is important, so that countries, WHO, and other relevant agencies can inform necessary policy changes.

Deep-sourced CO2 emissions from the Eastern Himalaya Syntaxis and the Tengchong Volcanic Field, southeast Tibet

The India-Asia collision zone is believed to play a central role in Earth's geological carbon budget. The processes controlling soil CO2 flux and mechanism at this continental subduction zone margin remain however poorly constrained. Here, we focus on hydrothermal CO2 emissions from southeast Tibet, specifically from the Eastern Himalaya Syntaxis (EHS) and the Tengchong Volcanic Field (TVF), with the twin goals of informing models of carbon cycling and ascertaining the source of hydrothermal degassing systems. In-situ measurements of soil CO2 flux from the Aqiong, Caquka, Nongchaka, Rongduo, and Woka hydrothermal fields of the EHS yield average soil CO2 fluxes of 72, 5, 13, 66, and 10 g m−2 day−1, respectively. Regional heat flow, tectonic regimes, and CO2 content in the spring gas are plausible controlling factors for soil CO2 flux, which is crucial to quantifying total CO2 output in continental collision zones. The compositions and He-C-N isotopes of hydrothermal volatiles from two study regions are reported here as well. Analysis of the He-C-N isotopes in terms of distances to the Jiali fault and the nearest Holocene volcano confirms that the Jiali fault and Holocene volcanoes have a significant impact on discharging deep-sourced CO2 from the EHS and TVF hydrothermal systems to the surface. The 3He/4He values of EHS hydrothermal volatiles (92 to 98°E), combined with previous data (82 to 92°E), show a clear increasing trend from south to north. Thus, we propose an updated model of enriched mantle wedge source for the EHS hydrothermal volatiles, based on multi-component mixing calculations of the He-CO2 systematics. The EHS hydrothermal volatiles exhibit systematics spatial variations from the core location to the bilateral segments, suggesting the highest 3He/4He ratio and carbonate-rich characteristics at the core location possibly controlled by the asthenosphere upwelling caused by the deep fragmentation structure.

Несырьевые поступления в консолидированный бюджет: анализ по видам экономической деятельности

This paper presents an analysis of non-resource revenues of the consolidated budget of Russia by types of economic activity. The purpose of this study was to identify which sectors are the most sensitive to shocks form the fiscal point of view, and to answer the questions: how long it takes for the revenues of different sectors recover from “local lows” and how the sectoral structure of budget revenues affects the volatility of payments. In accordance with the set objectives, we examined the dynamics of consolidated budget revenues in real terms for the period 2008–2022 as a whole and by sector. In addition, a sectoral analysis was provided for CIT. The calculations were based on the data of the Federal Tax Service prepared by excluding payments on natural rent. The analysis showed that revenue fluctuations are largely determined by the dynamics of payments from the extractive sector (especially oil production), and an increase in the sector’s share is likely to increase the overall volatility of revenues. In fiscal terms, the processing sector is the most sustainable for total revenues but provides a source of volatility in CIT dynamics. Revenues from financial activities show the fastest recovery from the crises. Trade and finance have a stabilizing effect on both total revenues and CIT dynamics. The results of the study can be used at the stage of budget planning.

Editors’ Introduction to the 2023 Special Issue on Novel Risks and Sources of Volatility: Identification and Measurement Challenges for Portfolio Management

Editors’ Introduction to the 2023 Special Issue on Novel Risks and Sources of Volatility: Identification and Measurement Challenges for Portfolio Management