Impact Of Different Sources Research Articles

Testing the Gray Whale Strike Limit Algorithm (SLA): allowing environmental variability to influence population dynamics

The performance of the Gray Whale SLA is evaluated based on an operating model conditioned on available information for the eastern North Pacific stock of gray whales including: survey estimates of 1+ abundance; calf counts; strandings data; and the extent of sea-ice in the feeding grounds in the Bering Sea in the early season. Multiple scenarios are considered in the analyses to explore the impact of different sources of environmental variation, including scenarios in which future environmental forcing and episodic events are driven by the relationships between reproductive success and survival to sea ice. A variety of sources of uncertainty are considered, including parameter uncertainty, the uncertainty about the relationship between the extent of sea-ice and population dynamics, and observation error. The impact of these sources of uncertainty on the performance of the Gray Whale SLA is small. For all scenarios considered in the simulations, application of the SLA results in the stock being at or near carrying capacity at the end of a 92 year projection period for which sea-ice cover forecasts are available, while still satisfying the needs of aboriginal whalers.

How do small changes enable the shift to net-zero? a techno-environmental-economic analysis

With many of the world’s governments committing to achieve net-zero greenhouse gas (GHG) emissions by mid-century, with well-defined milestones along the road, it is important to investigate how each sector can contribute towards achieving this global goal. The manufacturing sector, with its energy-intensive processes, large amounts of wastes, and hazardous and harmful emissions, is one of the main contributors to global GHG emissions, as well as other sustainability aspects, and, thus, it has great potential to contribute substantially to achieve net-zero objectives. This paper presents a techno-environmental-economic analysis of technologies that can play a key, enabling and leading role in the quest towards net-zero. Such technologies typically bring modest improvement in the environmental performance; however, the aim of this paper is to demonstrate how such small changes, when implemented in an industrial setting, can contribute significantly to the collective improvement in the environmental performance. In order to put the potential improvements into perspective, a real case study from the UK aerospace manufacturing sector is conducted. In the case study, metrics measuring potential improvements from the installation of a low-to-medium waste heat recovery system, and the upgrade of electric motors in the shopfloor to more energy efficient ones, are calculated through environmental and economic models. The models are then subject to a series of sensitivity analyses experiments to help understand the impact of different sources of uncertainty on the perceived GHG emissions, and economic and energy savings. The techno-environmental-economic analysis results revealed that these small changes, when implemented in an industrial setting, can indeed bring valuable improvements in the environmental performance of a manufacturing institute. Further, the sensitivity analysis experiments demonstrated how the environmental and economic performances are not adversely affected by different levels of fluctuations in key, likely to fluctuate, input parameters.

A triple helix of market failures: Financing the 3Rs of the circular economy in European SMEs

The Circular Economy (CE) shows hope to tackle our unprecedented climate catastrophe. However, there are market failures of double externality related to such environmental innovations (EI). CE market is evolving and has a unique financial circular risk attached to its business model that challenges standard financing instruments. The double externality market failures and the circular risk are termed as three (environmental-knowledge-financial) reinforcing market failures – a triple helix of market failures. The environmental externality, knowledge spillovers, and financial risk, all make a strong case for private and public sector contributions. Financing of CE is crucial, especially, in the case of European SMEs due to their traditional barrier to accessing finance including private costs, industry standards, lack of human and technological capital, limited information, and low market demand. In this paper, working with EU-wide SMEs data we investigate the impact of different sources of finance on a core reduce-reuse-recycle (3R) strategy of CE. The paper contributes to the literature by providing an empirical analysis of the different forms of finances including new instruments i.e., crowdfunding and capital market funding. In addition, the research contributes by assuming and encouraging discussion on embedded socio-institutional differences among countries. The study groups European countries into leaders, performers, and catchers, using the EI index that proxy measures underlying regional heterogeneity – EI frontiers – to support CE-related activities. The Probit estimates support this heterogeneity amongst the EU countries in utilizing financial instruments and assess the impact of a cohesive financing policy in terms of adopting 3Rs in SMEs. Under a cohesive policy, the adoption level is estimated at 61% for leaders, 65% for performers, and 49% for catchers. The results also show self-financing to be the most effective method of internal financing, which implies that the problem of double externality does not discourage internal financing. Moreover, alternative financing is the most effective method of external financing, which shows that the financial sector is offering innovative solutions to the circular risk of CE. The results of this study are relevant for a smart, sustainable, and inclusive global transitional CE policy.

Human activities disturb haul out and nursing behavior of Pacific harbor seals at Punta Banda Estuary, Mexico.

Humans frequently interact with Pacific harbor seals (Phoca vitulina richardii) at Punta Banda Estuary, Baja California, Mexico, due to the high incidence of recreational activities people undertake there. The immediate effect of these interactions is that seals flush to the water, reducing their time on land and, probably, increasing their energy expenditure. On-land observations were used to study the impact of different sources of disturbance on seal behavior and evaluate their effect on the amount of time dedicated to nursing over three pupping seasons, (2015–2017), with 0.58–0.81 disturbance events/hour recorded over the entire sampling period. Terrestrial vehicles were the source with the highest disturbance rate (number of disturbance events/h), followed closely by pedestrians. However, the proportion of seals affected was highest when pedestrians were the disturbance source. Recovery events (seals hauling out after flushing) occurred after 34% of disturbance events, after less than half of which the same number of hauled-out seals as there were prior to the disturbance were observed. Recovery time varied among the years studied, of which 2017 saw the longest recovery time. In addition, pedestrians were the disturbance source with the longest recovery time. Given that resting on land is essential for pup survival, which depends on both the establishment of the mother-pup bond from birth and its maintenance throughout nursing, flushing behavior may have significant implications for the entire colony during the nursing season. We recorded a decrease in nursing duration, which did not return to the same level even after recovery and the resumption of nursing. Terrestrial vehicles were found to be the disturbance source that shortened nursing events most significantly.

Protected Areas vs. Highway Construction—Problem of Environmental Pollution

Landscape parks are protected areas, attractive to live close to and relax in. In parks, economic and agricultural activities are allowed to a limited extent. The high interest in these areas is the cause of unfavorable changes, including environmental contamination. This paper presents the results of soil quality research in Wzniesienia Łódzkie Landscape Park (Poland). The analyses were performed in 2008, before the construction of the highway in the park began, and after its completion in 2016. The contents of Zn, Cu, Pb, Cd and Ni were determined by flame atomic absorption spectrometry (FAAS). The descriptive statistics, principal component analysis (PCA), cluster analysis (CA), and geographic information system (GIS) were used to assess the impact of different sources on the content of metal in the soil. Over the period of 8 years, there has been an increase in pH and the level of metals, especially nickel. The changes in the metal content result from the different land use, especially abandonment of agricultural activity and emissions related to the construction of the A1 highway.

Do Subsidies Decrease the Farm Income Inequality in Hungary?

The paper investigates the impact of different sources of income on farm household income inequality in Hungary using Farm Accountancy Data Network dataset for the period 2007-2015. The decomposition of the Gini coefficients by income sources is applied to focus on the impact of the policy shift from market to government support on farm household income inequality. Off-farm income are rather stable with a slight increase impact on farm household income inequality. Pillar 1 for direct income support subsidies have remained more important than Pillar 2 for rural development subsidies for farm income due to the importance of direct payments or single area payments for crop production. A slight increase in the importance of subsidies from Pillar 2 can be linked to a policy shift towards targeting farms in less favoured areas, and a greater role of agri-environmental and other rural development payments. The most striking finding is regarding instabilities, declining pattern, and for a large majority of farms negative market income. Subsidies from Pillar 1 reduced, while market income increased farm household income inequality.

Teaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exercise

Abstract. Estimating the impact of different sources of uncertainty along the modelling chain is an important skill graduates are expected to have. Broadly speaking, educators can cover uncertainty in hydrological modelling by differentiating uncertainty in data, model parameters and model structure. This provides students with insights on the impact of uncertainties on modelling results and thus on the usability of the acquired model simulations for decision making. A survey among teachers in the Earth and environmental sciences showed that model structural uncertainty is the least represented uncertainty group in teaching. This paper introduces a computational exercise that introduces students to the basics of model structure uncertainty through two ready-to-use modelling experiments. These experiments require either Matlab or Octave, and use the open-source Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) and the open-source Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) data set. The exercise is short and can easily be integrated into an existing hydrological curriculum, with only a limited time investment needed to introduce the topic of model structure uncertainty and run the exercise. Two trial applications at the Technische Universität Dresden (Germany) showed that the exercise can be completed in two afternoons or four 90 min sessions and that the provided setup effectively transfers the intended insights about model structure uncertainty.

Limits of the precision in refractive results after cataract surgery

Background and objectiveIn order to improve refractive results in cataract surgery with an intraocular lens implant, it is important to know the sources of error as well as the limit of this process. Therefore, the objective of the present work is to approximate the theoretical limit in the precision in the refractive result after cataract surgery with the currently available means and to assess the impact of different sources of error in this process. Materials and methodsWe conducted a search of the literature to determine the variability provided by each component of the process. Based on the Barrett Universal-II formula, we performed an error propagation analysis. The theoretical limit was defined as the situation in which the refractive result is only affected by the variability in the parameters introduced in the formula, the tolerance of the intraocular lens and the subjective refraction. ResultsThe main contributors to the error were (1) intraoperative and postoperative variability variables not considered by the formulas (49.33%), (2) postoperative subjective refraction (38.29%), (3) mean keratometry (5.98%) and (4) the variability in the labelling of the power of the intraocular lens (5.09%). The theoretical limit obtained for the intraocular lens calculation with the means available today was 91.9% of the eyes between ±0.50D. ConclusionsWe found a theoretical limit for the intraocular lens calculation of 91.9% of the eyes between ±0.50D. Approaching the precision limit described in the study requires the use of optical biometrics and state-of-the-art formulas, a reproducible surgical technique, and the compensation of systematic errors by adjusting constants.

Abstract #1175506: Impact of Different Infection Sources on Ketoacidosis/Hyperosmolar Hyperglycemic Syndrome Hospitalizations Outcomes

Diabetic ketoacidosis (DKA) and Hyperosmolar hyperglycemic syndrome (HHS), are two acute complications of diabetes that can result in significant morbidity and mortality. Many patients present with combined features of DKA and HHS. Infection from different sources is one of the most common causes of DKA/HHS precipitations in patients with diabetes mellitus. In this study we aim to analyze the impact of different sources of infections (pneumonia, urinary tract infection, cellulitis) on DKA/HHS hospitalizations.

The Impact of Different Sources of Zinc, Manganese, and Copper on Broiler Performance and Excreta Output.

Simple SummaryMaximising broiler production without negatively affecting the environment is currently paramount. This study was conducted because minerals such as zinc, manganese, and copper are usually provided in excess of the animal’s requirements, which leads to excretion and potential environmental contamination. Different sources of these minerals were tested to determine the best dietary source that would optimize broiler chicken growth whilst reducing the excretion of excess minerals to the environment. This study showed that these minerals provided in their hydroxy form reduced the excretion to the environment without affecting the growth, feed intake, or feed-to-gain ratio of broiler chickens.Commercial premixes provide trace minerals (TM) such as zinc (Zn), manganese (Mn), and copper (Cu) in excess of the requirements to maximize broiler performance. High inclusion levels of TM in broiler feed and their low absorption in the gastrointestinal tract leads to increased levels of TM in the excreta, resulting in the contamination of the environment. A 35-day broiler trial was conducted with 2880 one-day-old Cobb broiler males to test the effect of the supplementation of different sources of TM on growth performance, while evaluating levels in the excreta. Inorganic (ITM), organic (OTM), and hydroxy (HTM) sources of TM were tested against a positive control of current recommended levels of ITM. At 35 d, birds fed HTM were 55 g (p < 0.05) heavier than those fed ITM at the same inclusion level. In contrast, birds fed the control, OTM, and HTM showed no significant difference in body weight. Providing broilers with HTM significantly (p < 0.05) reduced Zn and Cu excretion at 35 d of when compared to those who were fed diets containing ITM or PC. Supplementing different sources of TM to broiler diets at levels below the recommendations showed no negative effect on broiler performance. The use of HTM significantly reduced TM excretion in broilers. The use of HTM in broiler diets can maintain broiler performance and reduce the negative impact on the environment.

Límites de la precisión en el resultado refractivo tras la cirugía de cataratas

Background and objectiveIn order to improve refractive results in cataract surgery with an intraocular lens implant, it is important to know the sources of error as well as the limit of this process. Therefore, the objective of the present work is to approximate the theoretical limit in the precision in the refractive result after cataract surgery with the currently available means and to assess the impact of different sources of error in this process. Materials and methodsWe conducted a search of the literature to determine the variability provided by each component of the process. Based on the Barrett Universal-II formula, we performed an error propagation analysis. The theoretical limit was defined as the situation in which the refractive result is only affected by the variability in the parameters introduced in the formula, the tolerance of the intraocular lens and the subjective refraction. ResultsThe main contributors to the error were: 1. Intraoperative and postoperative variability variables not considered by the formulas (49.33%). 2. Postoperative subjective refraction (38.29%). 3. Mean keratometry (5.98%), and 4. the variability in the labelling of the power of the intraocular lens (5.09%). The theoretical limit obtained for the intraocular lens calculation with the means available today was 91.9% of the eyes between + -0.50D. ConclusionsWe found a theoretical limit for the intraocular lens calculation of 91.9% of the eyes between + -0.50D. Approaching the precision limit described in the study requires the use of optical biometrics and state-of-the-art formulas, a reproducible surgical technique, and the compensation of systematic errors by adjusting constants.

Analyzing the Impact of Household Income Sources on Consumer Behavior in China – Based on Mental Accounting

With the continuous development of the economy and society in China and the improvement of people’s living standards, the consumption behavior and consumption structure of families in China have undergone significant changes. As an important source and basis of consumption, income has an influence on consumption behavior. Based on the mental accounting theory in behavioral economics, this paper uses the data from China Family Panel Studies (CFPS) to examine the differential impact of different sources of income on the consumption demand of households in China from the micro level. In terms of theory, based on the basic assumption and fact of elasticity of consumer demand, the model directly assumes that there is mental accounting effect in household consumption behavior; that is, the marginal propensity to consume from different sources of income has a significant difference. By establishing a regression model to analyze the influence of different sources of income on consumption, the mental accounting effect of consumption among households in China is verified. According to the theoretical hypothesis and empirical tests, this paper provides policy suggestions for the government. The government should increase people’s disposable income. Increasing the proportion of transfer income and property income can diversify people’s sources of income and promote consumption as well as economic growth. Finally, the social security system should be improved to promote the consumption level of low-income families.

Evaluation of VaR and CVaR for the makespan in interval valued blocking job shops

The paper deals with the job shop scheduling problem with complex blocking constraints (BJSS) under uncertainties. It proposes a method for the evaluation of the risk that the makespan of a deterministic feasible schedule assumes worse extreme values, considering uncertain activity durations represented by intervals. An interval-valued network approach is proposed to model the feasible solutions characterized by uncertain values for jobs’ releases, processing and setup times. The study assumes the Value-at-Risk (VaR) and the Conditional Value-at-Risk (CVaR) as risk measures for the makespan of the feasible solutions, and addresses both modeling and computational issues. They include the implementation and test of a network-based model used with an innovative algorithm for the first time applied to complex BJSS problems to provide an accurate, rapid and viable computation of both risk indices. The impact of different sources of uncertainty (including setups, releases and processing times) on the overall performance of the proposed approach are analyzed. The results of a wide experimental campaign show that the method, for both the computational time and the quality of the evaluations, has broad applicability. It can support the decision-makers for a wide range of practical scheduling cases taking into account their risk sensibility.

Job experience as a buffer against incivility: a daily diary study

PurposeIncivility is pervasive in organisational settings, particularly in healthcare, and is associated with negative employee outcomes. The aim of this study was to analyse the relationships between experienced incivility, sleep quality and emotional outcomes, positioning sleep quality as a mediator. Additionally, the protective role of tenure and the unique effects of incivility from different sources were examined.Design/methodology/approachThis study used a daily diary longitudinal design using self-report questionnaires with 92 nurses of varying tenure.FindingsThis research demonstrates that experiencing incivility negatively impacts sleep quality, which, in turn, increases surface acting and emotional exhaustion. Furthermore, the negative relationship between incivility and sleep quality is attenuated among nurses who have longer tenure.Practical implicationsThese findings are helpful in developing targeted practical practices, such as incivility interventions and mentorship programs to reduce the incidence and impact of incivility.Originality/value This study draws upon theories of self-regulation and emotion regulation to examine how incivility diminishes self-control resources, leading to negative outcomes. This study also positions job tenure as a buffer against incivility and examines the differential impact of different sources of incivility.

Etiolated Hypocotyls: A New System to Study the Impact of Abiotic Stress on Cell Expansion.

Abiotic stress impacts a wide range of plant developmental processes. Among them, cell expansion is particularly important given its contribution to plant growth and morphogenesis. Here, we describe a new phenotypic system to quantify accurately the impact of different sources of abiotic stress on the cell's capacity to expand. This approach monitors hypocotyl growth in Arabidopsis thaliana etiolated seedlings, as in the dark this embryonic organ is known to grow solely by expanding its cells, without cell division.

Impact of different sources of noise exposure on hearing impairment: A cross- sectional study

Background: Mental health is integrated into PHC as a strategy of WHO to fill the gap in mental health treatment. Part of this strategy needs a level of task shifting so that mental health care is provided by different level of PHC workers and not only specialists such as psychiatrists and psychologists.&#x0D; Objectives: To assess the knowledge and attitudes of family doctors regarding the provision of psychological health in PHCC and if there is an association between the certificates of these family doctors and their Knowledge and attitudes to psychological health.&#x0D; Subjects and Methods: A cross-sectional descriptive study with analytic elements was conducted in 8 family health care centers in Baghdad city/Al-Karkh. Data was collected via questionnaire form which consists of three domains: Domain one includes sociodemographic data, domain two was about knowledge and consists of (7) questions and domain three consisted of (12) questions about the attitude of physicians regarding mental health. A convenient sample of (83) family health care physicians were included in the current study.&#x0D; Results: The mean age of participants was 42 years (range: 27 – 53). The results revealed that 22.9% of participants were male, 77.1% were female. The percentage of mental illness seen by the physicians daily in the health care center was (15.7%). Physicians with higher degree certificates obtained higher knowledge scores in comparison to residents or practitioners as well as the females reported a significantly higher score of knowledge in comparison to males. Moreover, higher scores of positive attitudes were found.&#x0D; Conclusion: Physicians with higher certificates had more knowledge and attitude than other certificates; therefore, raising the awareness among family physicians about mental health services through making workshops, symposiums, more training courses is recommended.

The effect of natural and artificial light at night on nocturnal song in the diurnal willie wagtail

Artificial light at night (ALAN) has rapidly and drastically changed the global nocturnal environment. Evidence for the effect of ALAN on animal behaviour is mounting and animals are exposed to both point sources of light (street and other surrounding light sources) and broadscale illuminance in the form of skyglow. Research has typically taken a simplified approach to assessing the presence of ALAN, yet to fully understand the ecological impact requires consideration of the different scales and sources of light concurrently. Bird song has previously been well studied for its relationship with light, offering an opportunity to examine the relative impact of different sources of light on behaviour. In this study, we combine correlational and experimental approaches to examine how light at night affects the nocturnal song behaviour of the largely diurnal willie wagtail (Rhipidura leucophrys). Observations of willie wagtails across urban and rural locations in southeastern Australia demonstrated that nocturnal song behaviour increased with the intensity of moonlight in darker rural areas but decreased in areas with high sky glow. In addition, willie wagtails were half as likely to sing at night in the presence of localized light sources such as streetlights in urban and rural areas. Experimental introduction of streetlights to a previously dark area confirmed this relationship: willie wagtail song rates declined when lights were turned on and returned to their original rates following streetlight removal. Our findings show that scale, as well as intensity, are important when considering the impact of light at night as moonlight, sky glow, and localized sources of artificial light have different effects on nocturnal song behaviour.

Impact of different sources on the oxidative potential of ambient particulate matter PM10 in Riyadh, Saudi Arabia: A focus on dust emissions

In this study, we employed Principal Component Analysis (PCA) and Multi-Linear Regression (MLR) to identify the most significant sources contributing to the toxicity of PM10 in the city center of Riyadh. PM10 samples were collected using a medium-volume air sampler during cool (December 2019–March 2020) and warm (May 2020–August 2020) seasons, including dust and non-dust events. The collected filters were analyzed for their chemical components (i.e., water-soluble ions, metals, and trace elements) as well as oxidative potential and elemental and organic carbon (EC/OC) contents. Our measurements revealed comparable extrinsic oxidative potential (P-value = 0.30) during the warm (1.2 ± 0.1 nmol/min-m3) and cool (1.1 ± 0.1 nmol/min-m3) periods. Moreover, we observed higher extrinsic oxidative potential of PM10 samples collected during dust events (~30% increase) compared to non-dust samples. Our PCA-MLR analysis identified soil and resuspended dust, secondary aerosol (SA), local industrial activities and petroleum refineries, and traffic emissions as the four sources contributing to the ambient PM10 oxidative potential in central Riyadh. Soil and resuspended dust were the major source contributing to the oxidative potential of ambient PM10, accounting for 31% of the total oxidative potential. Secondary aerosols (SA) were the next important source of PM10 toxicity in the area as they contributed to about 20% of the PM10 oxidative potential. Results of this study revealed the major role of soil and resuspended road dust on PM10 toxicity and can be helpful in adopting targeted air quality policies to reduce the population exposure to PM10.

The DINGO database of axial pile load tests for the UK: settlement prediction in fine-grained soils

ABSTRACT The availability of reliable field data is critical for the advancement of geotechnical engineering. This is particularly the case for piled foundations; due to the substantial geotechnical uncertainties. The settlement (performance) predictions from established analytical methods may deviate from field measurements by as much as an order of magnitude. This paper provides a statistical assessment of the uncertainty of predictions of pile performance under axial loading using an openly accessible geotechnical database of pile load tests from the United Kingdom. The collected database information was classified by pile type, location, test data quality and availability of geotechnical data. With reference to the data from fine-grained soils, two analytical models were employed to predict foundation settlement. The settlement prediction performance was then studied statistically and the model bias and error compared with reference to the aforementioned categories to identify the impact of different sources of uncertainty and evaluate the use of both models for future geotechnical practice. The two models investigated generally over-predict settlement, which is likely due to conservative selection of key model parameters, such as soil strength.

Measurement report: Source apportionment of volatile organic compounds at the remote high-altitude Maïdo observatory

Abstract. We present a source apportionment study of a near-continuous 2-year dataset of volatile organic compounds (VOCs), recorded between October 2017 and November 2019 with a quadrupole-based high-sensitivity proton-transfer-reaction mass-spectrometry (hs-PTR-MS) instrument deployed at the Maïdo observatory (21.1∘ S, 55.4∘ E, 2160 m altitude). The observatory is located on La Réunion island in the southwest Indian Ocean. We discuss seasonal and diel profiles of six key VOC species unequivocally linked to specific sources – acetonitrile (CH3CN), isoprene (C5H8), isoprene oxidation products (Iox), benzene (C6H6), C8-aromatic compounds (C8H10), and dimethyl sulfide (DMS). The data are analyzed using the positive matrix factorization (PMF) method and back-trajectory calculations based on the Lagrangian mesoscale transport model FLEXPART-AROME to identify the impact of different sources on air masses sampled at the observatory. As opposed to the biomass burning tracer CH3CN, which does not exhibit a typical diel pattern consistently throughout the dataset, we identify pronounced diel profiles with a daytime maximum for the biogenic (C5H8 and Iox) and anthropogenic (C6H6, C8H10) tracers. The marine tracer DMS generally displays a daytime maximum except for the austral winter when the difference between daytime and nighttime mixing ratios vanishes. Four factors were identified by the PMF: background/biomass burning, anthropogenic, primary biogenic, and secondary biogenic. Despite human activity being concentrated in a few coastal areas, the PMF results indicate that the anthropogenic source factor is the dominant contributor to the VOC load (38 %), followed by the background/biomass burning source factor originating in the free troposphere (33 %), and by the primary (15 %) and secondary biogenic (14 %) source factors. FLEXPART-AROME simulations showed that the observatory was most sensitive to anthropogenic emissions west of Maïdo while the strongest biogenic contributions coincided with air masses passing over the northeastern part of La Réunion. At night, the observatory is often located in the free troposphere, while during the day, the measurements are influenced by mesoscale sources. Interquartile ranges of nighttime 30 min average mixing ratios of methanol (CH3OH), CH3CN, acetaldehyde (CH3CHO), formic acid (HCOOH), acetone (CH3COCH3), acetic acid (CH3COOH), and methyl ethyl ketone (MEK), representative for the atmospheric composition of the free troposphere, were found to be 525–887, 79–110, 61–101, 172–335, 259–379, 64–164, and 11–21 pptv, respectively.