Environmental Research Station Research Articles

Spatial distribution of the ethnomedicinal plant Aglaonema simplex at the Sakaerat Environmental Research Station, Northeastern Thailand

Abstract. O-thong N, Tasen W, Marod D, Thinkampheang S, Phumphuang W. 2024. Spatial distribution of the ethnomedicinal plant Aglaonema simplex at the Sakaerat Environmental Research Station, Northeastern Thailand. Biodiversitas 25: 3043-3050. Aglaonema simplex Blume (Araceae) is an evergreen herbaceous plant used ornamentally and in traditional medicine. Although the usefulness of this plant has been widely studied and reported, its ecology remains poorly understood. In this study, we examined the effects of various environmental factors on the spatial distribution of A. simplex in a Dry Evergreen Forest (DEF) at the Sakaerat Environmental Research Station (SERS) in Northeastern Thailand. All individual plants were counted; their positions were recorded within a 16-ha Forest Dynamics Plot (FDP), and their distribution pattern was analyzed using Ripley's K function. The spatial distribution of A. simplex was determined using a generalized linear model that incorporated plant density and topographic and edaphic variables within the 16-ha study plot. We found a total of 11,232 A. simplex individuals with a density of 702 individuals ha-1, with a clumped distribution pattern. The modeling results showed that the spatial distribution of A. simplex was positively influenced by soil clay content, soil pH, exchangeable magnesium, and adult tree density; it was negatively influenced by sapling density and rocky outcrops. These findings contribute to the broader understanding of the ecological niche of A. simplex. They can be used to design integrated land management approaches that balance ecological conservation with economic development goals.

A Digital Backend with Pulse Detection for Radar Astronomy

In radar astronomy, the digital backend and data recording system process and store echo signals in real-time, facilitating the monitoring of near-earth objects such as space debris, satellites, and asteroids. In this paper, a radar astronomy digital backend (RADB), designed for radar astronomy observation and data recording, is proposed. With a sampling rate of 1.12 GSps, the RADB accommodates various analog intermediate frequency (IF) front-ends. In addition to continuously recording echo signals, the RADB has three pulse storage modes and employs an architecture that combines a two-stage decimation (TSD) unit and a decimated pulse detection (DPD) unit. The TSD unit reduces the sampling frequency based on the bandwidth of the signal, after shifting the IF signal to the baseband. Compared to a single-stage decimation, the proposed TSD structure effectively reduces FIR resource consumption without compromising performance. Meanwhile, the DPD unit identifies pulse echo signals and selectively enables the backend to store data only when pulses are detected. This process further reduces the burden on data transmission and storage. Furthermore, the matched filtering pulse detection method in the DPD unit enhances triggering performance, particularly under weak signal conditions. Preliminary performance evaluations in a laboratory demonstrate that the TSD unit reduces data volume by 56 times, while the DPD unit achieves a further reduction of 20 times. Concurrently, a Moon reflection experiment is also conducted at the Yunnan Kunming Electromagnetic Environment Observation and Research Station by using a 29 m antenna. Analysis and processing of stored data validate the effectiveness of the proposed design.

2016–2021年上海长三角站长期监测样地土壤基本性状数据集

Shanghai Yangtze River Delta Ecology & Environmental Change and Control Research Station is one of the four national field scientific observation and research stations for urban ecosystems approved in 2021. Since 2016, the Station has carried out long-term soil monitoring. This dataset collects the basic soil properties of 12 long-term monitoring plots in different soil layers (0-10 cm, 10-20 cm, 20-40 cm) on different urban-rural gradients at the Station from 2016 to 2021, including pH value, bulk density, total carbon, total nitrogen, total phosphorus, total potassium, available phosphorus, available potassium, total zinc, total copper, total lead and total chromium. Moreover, the dataset includes supplementary information such as plot details, soil sampling and preservation procedures, and a table outlining the analysis methods employed. The dataset can be provided as data basis for the study of soil carbon sinks, soil nutrient changes, and heavy metal pollution in megacities.

OH airglow observations with two identical spectrometers: benefits of increased data homogeneity in the identification of variations induced by the 11-year solar cycle, the QBO, and other factors

Abstract. Hydroxyl (OH) radical airglow observations have been performed at the environmental research station “Schneefernerhaus” (UFS; 47.42∘ N, 10.98∘ E) since October 2008, with continuous operation since July 2009. The instrumental setup relies on the parallel operation of two identical instruments, each a GRIPS (GRound-based Infrared P-branch Spectrometer), in order to achieve maximum completeness and homogeneity. After the first decade of observations the acquired time series are evaluated with respect to the main influences on data quality and comparability to those at other sites. Data quality is essentially limited by gaps impacting the completeness. While technical failures are largely excluded by the setup, gaps caused by adverse meteorological conditions can systematically influence estimates of the annual mean. The overall sampling density is high, with nightly mean temperatures obtained for 3382 of 4018 nights of observation (84 %), but the average coverage changes throughout the year. This can bias the annual mean up to 0.8 K if not properly accounted for. Sensitivity studies performed with the two identical instruments and their retrievals show that the comparability between the observations is influenced by the annual and semiannual cycle as well as the choice of Einstein-A coefficients, which influence the estimate of the annual cycle's amplitude. A strong 11-year solar signal of 5.9±0.6 K per 100 sfu is identified in the data. The OH temperatures follow the F10.7 cm value with a time lag of 90±65 d. However, the precise value depends on details of the analysis. The highest correlation (R2=0.91) is achieved for yearly mean OH temperatures averaged around 4 February and the F10.7 cm solar flux leading ahead with 110 d. A prominent 2-year oscillation is identified between 2011 and 2015. This signal is linked to the quasi-biennial oscillation (QBO), leading to a temperature reduction of approximately 1 K during QBO westward phases in 2011, 2013, and 2015 and a respective 1 K increase in 2012 and 2014 during QBO eastward phases. The amplitude of the semiannual cycle shows a similar behavior with the decade's minimum amplitudes (∼ 2.5–3 K) retrieved for 2011, 2013, and 2015 and maximum amplitudes observed in 2012 and 2014 (∼4 K). The signal appears to disappear after 2016 when the solar flux approaches its next minimum. Although it appears as a rather strict 24-month periodicity between 2011 and 2015, spectral analyses show a more or less continuous oscillation with a period of approximately 21 months over the entire time span, which can be interpreted as the result of a nonlinear interaction of the QBO (28 months) with the annual cycle (12 months).

Comparison of atmospheric CO, CO2 and CH4 measurements at the Schneefernerhaus and the mountain ridge at Zugspitze

Abstract. The CO, CO2 and CH4 mole fractions have been measured since 2002 at the Environmental Research Station Schneefernerhaus, which is located approximately 300 m below the summit of Zugspitze in the German Alps. Although the station is located remotely at an altitude of 2650 m a.s.l., local pollution events by snow blowers and snow groomers can be detected in the high temporal-resolution time series of seconds or minutes. Therefore, a time-consuming flagging process, carried out manually by the station manager, is necessary. To examine local influences and the effectiveness of data flagging, a 290 m long intake line to the higher Zugspitze ridge was used to measure CO, CO2 and CH4 mole fractions at a potentially less polluted location between October 2018 and October 2020. The comparison of these two time series shows that the mountain ridge measurement is almost unaffected by local pollution. It also demonstrates that the influence of local pollution events on the Schneefernerhaus measurements is successfully removed by the station manager. Only a small deviation of up to 0.24 ppm can be observed during the day between the CO2 time series of the Schneefernerhaus and the mountain ridge in winter, probably due to anthropogenic sources.

Diurnal Variation Characteristics of the Surface Sensible Heat Flux over the Tibetan Plateau

The characteristics of diurnal variation of the surface sensible heat flux (SH) over the Tibetan Plateau (TP) are comprehensively investigated by using the long-term dataset of integrated land–atmosphere interaction observations (2006–2016) on the TP. Results show that the diurnal variation of SH shows obvious seasonal variabilities in terms of amplitude, duration, and peak time. At the Muztagh Ata Westerly Observation and Research Station (MAWORS), the Ngari Desert Observation and Research Station (NADORS), and the Qomolangma Atmospheric and Environmental Observation and Research Station (QOMS), the SH diurnal amplitude is consistently the largest in spring, followed by summer and autumn, and the smallest in winter, with a peak at 15:00. However, for the Southeast Tibet Observation and Research Station (SETORS), the amplitude in winter is rather violent with the peak at 12:00. We find that positive SH at most stations has the longest duration from May to August. Moreover, the peak time fluctuates from month to month, even showing a shift at the QOMS before and after 2015, and the double-peak phenomenon of SH mainly occurs in spring and autumn. Additionally, magnitudes of calculated SH with the conventional heat transfer coefficient (CDH) of 0.004 are about 64–100% larger than those of directly observed SH at the QOMS and the Nam Co Monitoring and Research Station (NAMORS). We here additionally recommend a new CDH values of about 2.24 × 10−3 in spring and 2.78 × 10−3 in summer, respectively, to more accurately calculate the TP SH.

Birch Pollen Deposition and Transport along an Altitudinal Gradient in the Bavarian Alps—A Case Study Using Gravimetric Pollen Traps in the Pollen Season 2020

There is only little and partially contradicting knowledge on the variation of pollen abundance at different altitudes in mountainous regions. The aim of this work is to gain new insights on the influence of wind and surrounding trees on the deposition and transport of birch (Betula spec.) pollen in the Bavarian Alps, Germany. Data on birch pollen deposition were collected at five sites using gravimetric traps along an altitudinal gradient from Garmisch-Partenkirchen (720 m a.s.l.) to the Environmental Research Station Schneefernerhaus (2650 m a.s.l) in the pollen season 2020. We compared these data with birch pollen concentration derived from a volumetric trap at Schneefernerhaus and with phenological data, i.e., flowering onset times observed at 21 birch trees at different altitudes. Wind data were gathered directly at or near each pollen trap and surrounding birch trees were mapped in the field. Whereas the pollen load was lowest at the highest location, substantially higher values were measured at medium altitudes (1300–1600 m a.s.l.). This can be explained by the pronounced mountain-valley wind system, which ensured the transport of pollen to the corresponding altitudes. We conclude that pollen levels are influenced by topography, local wind systems and the availability of pollen. Pollen levels in complex mountainous environments are therefore not substantially affected by the occurrence of birch trees in the immediate vicinity.

Airborne Prokaryotic, Fungal and Eukaryotic Communities of an Urban Environment in the UK

Bioaerosols often contain human pathogens and allergens affecting public health. However, relatively little attention has been given to bioaerosols compared with non-biological aerosols. In this study, we aimed to identify bioaerosol compositions in Manchester, UK by applying high throughput sequencing methods and to find potential sources. Samples were collected at Manchester Air Quality Super Site at the Firs Environmental Research Station in November 2019 and in February 2020. Total DNA has been extracted and sequenced targeting the 16S rRNA gene of prokaryotes, ITS region of fungal DNA and 18S rRNA gene of eukaryotes. We found marine environment-associated bacteria and archaea were relatively more abundant in the February 2020 samples compared with the November 2019 samples, consistent with the North West marine origin based on wind back-trajectory analysis. In contrast, an OTU belonging to Methylobacterium, which includes many species resistant to heavy metals, was relatively more abundant in November 2019 when there were higher metal concentrations. Fungal taxa that fruit all year were relatively more abundant in the February 2020 samples while autumn fruiting species generally had higher relative abundance in the November 2019 samples. There were higher relative abundances of land plants and algae in the February 2020 samples based on 18S rRNA gene sequencing. One of the OTUs belonging to the coniferous yew genus Taxus was more abundant in the February 2020 samples agreeing with the usual pollen season of yews in the UK which is from mid-January until late April. The result from this study suggests a potential application of bioaerosol profiling for tracing the source of atmospheric particles.

Analysis of Surface Energy Changes over Different Underlying Surfaces Based on MODIS Land-Use Data and Green Vegetation Fraction over the Tibetan Plateau

To better predict and understand land–atmospheric interactions in the Tibetan Plateau (TP), we used Moderate Resolution Imaging Spectroradiometer (MODIS)-based land-use data and the MODIS-derived green vegetation fraction (GVF) to analyze the variation trend over the TP. The in situ observations from six flux stations (“BJ” (the BJ site of Nagqu Station of Plateau Climate and Environment), “MAWORS” (the Muztagh Ata Westerly Observation and Research Station), “NADORS” (the Ngari Desert Observation and Research Station), “NAMORS” (the Nam Co Monitoring and Research Station for Multisphere Interactions), “QOMS” (the Qomolangma Atmospheric and Environmental Observation and Research Station), and “SETORS” (the Southeast Tibet Observation and Research Station for the Alpine Environment)) at the Chinese TP Scientific Data Center were used to study the surface energy variation characteristics and energy distribution over different underlying surfaces. Finally, we used observation data to verify the applicability of the ERA-5 land reanalysis data to the TP. The results showed that the annual GVF steadily declined from the southeast parts to the northwest parts of the TP, and the vegetation coverage rate was highest from June to September. The sensible heat flux (H), latent heat flux (LE), net surface radiation (Rn), and four-component radiation (solar downward shortwave radiation (Rsd), surface upward shortwave radiation (Rsu), atmospheric downward longwave radiation (Rld), and surface upward longwave radiation (Rlu)) reached their maxima in summer at each station. Rld did not change significantly with time; all other variables increased during the day and decreased at night. The interannual variation in H and LE shows that latent heat exchange was the dominant form of energy transfer in BJ, MAWORS, NAMORS, and SETORS. By contrast, sensible heat exchange was the main form of energy transfer in NADORS and QOMS. The Bowen ratio was generally low in summer, and some sites had a maximum in spring. The surface albedo exhibited a “U” shape, decreasing in spring and summer, and increasing in autumn and winter, and reaching the lowest value at noon. Except for SETORS, ERA-5 Land data and other flux stations had high simulation accuracy and correlation. Regional surface energy changes were mainly observed in the eastern and western parts of the TP, except for the maximum of H in spring; the maximum values of other heat fluxes were concentrated in summer.

Combined Effect of Acute Altitude Exposure and Vigorous Exercise on Platelet Activation

Exposure to high altitudes and exercise alters body's physiology and may cause acute cardiovascular events. Platelet activation is one of the key players in these events. Therefore, we investigated the effect of vigorous exercise at higher altitude (2650 m) on platelet aggregation and serum markers of platelet activation. 14 healthy subjects performed a step incremental ergometer test until exhaustion at the Environmental Research Station (UFS, 2650 m) at Zugspitze. Platelet aggregation and serum levels of endothelin-1, soluble p-selectin, platelet factor 4 and Chromogranin A were measured. Platelet activation was significantly enhanced after exercise at high altitude compared to measures immediately prior exercise. We detected significantly enhanced serum levels of endothelin-1 and soluble p-selectin whereas chromogranin A and platelet factor 4 remained unchanged. This effect might be due to increased endothelin-1 levels causing pulmonary vasoconstriction, rheological changes and direct platelet activation. This might be of clinical relevance, especially in patients with pre-existing diseases.

Cloud microphysical measurements at a mountain observatory: comparison between shadowgraph imaging and phase Doppler interferometry

Abstract. The microphysical properties of cloud droplets, such as droplet size distribution and droplet number concentration, were studied. A series of field experiments was performed in the summer of 2019 at the Umweltforschungsstation Schneefernerhaus (UFS), an environmental research station located just below the peak of the Zugspitze mountain in the German Alps. A VisiSize D30 manufactured by Oxford Laser Ltd., which is a shadowgraph imaging instrument, was utilized for the first time to measure the size and velocity of cloud droplets during this campaign. Furthermore, a phase Doppler interferometer (PDI) device, manufactured by Artium Tech. Inc., was simultaneously measuring cloud droplets. After applying modifications to the built-in software algorithms, the results from the two instruments show reasonable agreement regarding droplet sizing and velocimetry for droplet diameters larger than 13 µm. Moreover, discrepancies were observed concerning the droplet number concentration results, especially with smaller droplet sizes. Further investigation by applying appropriate filters to the data allowed the attribution of the discrepancies to two phenomena: the different optical performance of the sensors with regard to small droplets and high turbulent velocity fluctuations relative to the mean flow that result in an uncertain estimate of the volume of air passing through the PDI probe volume.

Multi-year cloud and precipitation statistics observed with remote sensors at the high-altitude Environmental Research Station Schneefernerhaus in the German Alps

Multi-year cloud and precipitation statistics observed with remote sensors at the high-altitude Environmental Research Station Schneefernerhaus in the German Alps

Role of Atmospheric VOCs in Ozone Formation in Summer in Shanghai Suburb

In order to study the role of VOCs in the formation of ozone during the high ozone season in summer in Shanghai, 103 volatile organic compounds, ozone, and nitrogen oxides were measured at state ecology and environment scientific observation and research station for the Yangtze River Delta at Dianeshan Lake from May to August 2018. The average volume fraction of VOCs was 32.7×10-9 during the high ozone season in Shanghai. Carbonyl compounds were the main components of VOCs, accounting for 35.0%. Among the carbonyl compounds, the volume fraction of formaldehyde was the highest, followed by acetone, accounting for 82.8% of the total carbonyl compounds. The chemical reaction activity of ambient air was the strongest in May, and the total ozone formation potential (OFP) was 337.2 μg·m-3. Formaldehyde had the highest contribution. The examination of the diurnal variations in alkanes, alkenes, and aromatics revealed higher average concentrations at nighttime than at daytime, with a small peak in the morning, which was related to the impact of traffic emissions. Aldehydes and ketones varied diurnally by having higher average concentrations during the daytime than those at nighttime, which was related to the secondary formation process of photochemical reactions. The observation-based model (OBM) showed that O3 formation was in a VOC-limited regime from May to June and in a transition regime from July to August.

In situ cloud particle tracking experiment

The collision-coalescence process of inertial particles in turbulence is held responsible for the quick growth of cloud droplets from ∼15 to ∼50 µm in diameter, but it is not well understood. Turbulence has two effects on cloud droplets: (1) it brings them closer together, preferentially concentrating them in certain parts of the flow, and (2) it sporadically creates high accelerations, causing droplets to detach from the underlying flow. These turbulence-cloud droplet interactions are difficult to study numerically or in the laboratory due to the large range of scales involved in atmospheric turbulence, so in situ measurements are needed. Here, we present a Lagrangian particle tracking (LPT) experimental setup situated close to the summit of Mt. Zugspitze at an altitude of 2650m above the sea level on top of the environmental research station Schneefernerhaus. Clouds naturally occur at this location about a quarter of the time. The LPT experiment probes a volume of ∼40 × 20 × 12mm3, has a spatial resolution of 5 µm and a temporal resolution of 0.1ms, and measures accelerations to within 0.1ms-2. Furthermore, the experiment can slide over a set of rails, driven by a linear motor, to compensate for the mean wind. It can slide up to 7.5ms-1. By doing so, the average residence time of the particles in the measurement volume increases. The mean wind compensation allows us to study various dynamical quantities, such as the velocity autocorrelation, or the dynamics of clustering. Moreover, it is beneficial for particle tracking, in general, since longer particle tracks allow us to apply better filtering to the tracks and thus increase accuracy. We present the radial distribution function, which quantifies clustering, the longitudinal relative velocity distribution, and the Lagrangian velocity autocorrelation, all computed from cloud droplet trajectories.

Herbage accumulation and nutritive value of cultivar Mulato II, Congo grass, and Guinea grass cultivar C1 in a subhumid zone of West Africa

AbstractDespite a long history promoting improved forages, their adoption in sub‐Saharan Africa remains limited. Identifying cultivars and developing the right agronomic practices suited to specific forage systems can help reduce the feed gap in this region. This 2‐yr study was performed under rainfed conditions at the Institute of Environment and Agricultural Research research station in Farakoba, Burkina Faso. Treatments included two planting methods (continuous rows 40‐cm apart vs. open pits spaced 40 × 40 cm) and three perennial grasses: Urochloa spp. cultivar Mulato II, Congo grass [U. ruziziensis (R. Germ. and C.M. Evrard) Crins] and Guinea grass [Megathyrsus maximus (Jacq.) B.K. Simon & S.W.L. Jacobs] cultivar C1. The experimental design was a randomized complete block under a split plot treatment arrangement, and planting method was the main plot (3 × 7 m) and the grass varieties the subplots (3 × 3 m). Plots were established in August 2018, and herbage accumulation (HA) and nutritive value (NV) were measured in 2018 and 2019. Regardless of planting method, Mulato II had greater total herbage mass (26 Mg ha–1) after 2 yr than did Congo grass (15 Mg ha–1) and cultivar C1 (12 Mg ha–1) (p ≤ .05). Mulato II had the greatest crude protein (170 g kg–1), in vitro digestible organic matter (635 g kg–1), and metabolizable energy (89 MJ kg–1), and least neutral detergent fiber (537 g kg–1) concentrations, as compared to other cultivars (p ≤ .05). Both HA and NV were greater (p ≤ .001) for open pits spaced 40‐cm apart than the continuous rows for all cultivars, indicating that this planting method seems more appropriate to establish forage grasses. Mulato II showed potential to increase forage productivity and NV in Burkina Faso.

Assessment of neutrons from secondary cosmic rays at mountain altitudes – Geant4 simulations of environmental parameters including soil moisture and snow cover

Abstract. Ground-based measurements of neutrons from secondary cosmic rays are affected by environmental parameters, particularly hydrogen content in soil. To investigate the impact of these parameters, in particular snow cover, Geant4 Monte Carlo simulations were carried out. In a previous study the model used for the Geant4 Monte Carlo simulations was already validated by measurements performed with an extended-range Bonner sphere spectrometer (ERBSS) at Zugspitze, Germany, and at Jungfraujoch, Switzerland. In the present study a sensitivity analysis including different environmental parameters (i.e. slope of mountain, snow height, and soil moisture) and their influence on the flux of neutrons from secondary cosmic rays was performed with Geant4. The results are compared with ERBSS measurements performed in 2018 at the Environmental Research Station Schneefernerhaus located at the Zugspitze, Germany. It is shown that the slope of the Zugspitze mountain reduces the neutron flux from secondary cosmic rays between about 25 % and 50 % as compared to a horizontal surface, depending on neutron energy and snow cover. An increasing height of snow cover, simulated as snow water equivalent (SWE), reduces the total neutron flux exponentially down to a factor of about 2.5 as compared to soil without any snow cover, with a saturation for snow heights greater than 10 to 15 cm SWE, depending on neutron energy. Based on count rates measured with the individual spheres of the ERBSS, SWE values were deduced for the whole year 2018. Specifically, mean SWE values deduced for the winter months (January to March) are between 6.7 and 10.1 cm or more, while those for the summer months (July to September) are between 2.1 and 3.6 cm. Soil moisture of 5 % water mass fraction in limestone leads to a decrease of the total neutron flux by about 35 % compared to dry limestone. It is concluded that the measurement of neutrons from secondary cosmic radiation can be used to gain information on the height of snow cover and its seasonal changes, on soil moisture, and on local geometry such as mountain topography. Because the influence of such parameters on neutron flux from secondary cosmic rays depends on neutron energy, analysis of the whole neutron energy spectrum is beneficial.

Assessment of secondary neutrons from galactic cosmic rays at mountain altitudes – Geant4 simulations and ground-based measurements of neutron energy spectra

In this study, the Geant4 Monte Carlo toolkit was used to simulate energy spectra of neutrons from secondary cosmic radiation at mountain altitudes for the Environmental Research Station “Schneefernerhaus” at the Zugspitze mountain, Germany (2660 m a.s.l.) and for Sphinx astronomical observatory at the Jungfraujoch, Switzerland (3585 m a.s.l.). Simulations were performed with different intra-nuclear cascade models available in Geant4, and the results were compared with those of measurements that had been performed at both locations by means of an Extended-Range Bonner Sphere Spectrometer. Measurement conditions were quite different for both locations – at Schneefernerhaus the measurements had been performed on the flank of a hill in March 2018 with much snow, while at Jungfraujoch the measurements had been performed on top of a steep local hill in September 2018 with much less snow. Despite these differences, agreement between measurement and simulation was reasonable at both locations, especially at neutron energies greater than 20 MeV where the (unknown) hydrogen content of the environment did not influence the neutron fluence much (i.e., results from simulations were 6–22% lower than those from the measurements for the Schneefernerhaus, and were 22–29% lower for Jungfraujoch, depending on intra-nuclear model used in the simulations). The agreement was less favorable for lower energies, where environmental hydrogen (e.g., snow cover, soil moisture) is known to influence the shape of the neutron energy spectrum, because the real conditions of the snow accumulation close to the location of the measurements were not known and, therefore, a detailed description of the real hydrogen environment in the simulations was not possible. When the results simulated using different intra-nuclear cascade models were compared with each other, agreement was found within ±5%, ±15%, ±20%, and ±20%, for cascade, evaporation, epithermal and thermal neutrons, respectively. While the latter results are consistent with those of simulations and measurements at the CERN EU High-Energy Reference Field (CERF) facility published recently, a detailed sensitivity analysis of the influence of environmental hydrogen on neutron energy spectra is required before a final quantitative comparison of measurements and simulations can be made. This sensitivity analysis is presently under way. It is concluded that simulation of energy spectra of neutrons from secondary cosmic rays close to the atmosphere-lithosphere interface, validated by the spectrometer measurements, showed differences of less than 30%, for neutron energies greater than 20 MeV, whatever intra-nuclear cascade model was used in the simulations.

Meteorological Observation at the Umihotaru Parking Area (PA) Environmental Research Station

Meteorological Observation at the Umihotaru Parking Area (PA) Environmental Research Station

Analysis of Land Surface Energy and Water Cycle Changes in Naqu Region of Qinghai-Tibet Plateau during 2005-2016

In order to improve the integrity of the research on the thermal conditions of the Qinghai-Tibet Plateau and the plateau energy cycle, and strengthen the understanding of the climate change and water cycle in the Nagqu area, this article uses the 2005—provided by the Naqu Alpine Climate and Environmental Observation and Research Station of the Northwest Institute of Eco- Environmental Resources, Chinese Academy of Sciences. In 2016, the hour by hour high-resolution data set of atmospheric, soil and eddy observations analyzed the surface radiation budget, energy conversion, energy balance, and energy closure in the Naqu region of the Qinghai-Tibet Plateau. The following conclusions are obtained: compared with sunny days, the diurnal variation of the various components of surface energy in Nagqu in cloudy weather is very irregular, and the reflectivity of cloudy weather becomes larger. In cloudy weather, the thermal process between the surface and the atmosphere and deep soil is more violent than short-wave radiation. The albedo at each moment of the day in winter is greater than that in summer because of the unique surface characteristics of the plateau. Both summer and winter sensible heat flux and latent heat flux have the same diurnal variation trend as net radiation. The sensible heat flux and latent heat flux in summer are significantly higher than those in winter, but the latent heat flux changes more significantly with the seasons. When considering the soil heat storage term, the energy closure degree in summer is 0.301 and that in winter is 0.701. The energy closure degree in winter is significantly higher than that in summer.

Deceleration Capacity and Periodic Repolarization Dynamics As Predictors of Acute Mountain Sickness.

Hamm, Wolfgang, Sari Kassem, Lukas von Stülpnagel, Florian Maier, Mathias Klemm, Dominik Schüttler, Felix Grabher, Ludwig T. Weckbach, Bruno C. Huber, Axel Bauer, Konstantinos D. Rizas, and Stefan Brunner. Deceleration capacity and periodic repolarization dynamics as predictors of acute mountain sickness. High Alt Med Biol. 21:417-422, 2020. Background: The autonomic nervous system plays an important role in adaptive changes after acute altitude exposure. Periodic repolarization dynamics (PRD) and deceleration capacity (DC) of heart rate are advanced electrocardiogram (ECG)-based parameters reflecting sympathetic (PRD) and parasympathetic (DC) tone. These parameters have not been investigated in the context of acute mountain sickness (AMS) yet. Methods: In 23 healthy individuals (13 women), a high-resolution digital 30-minute ECG in Frank leads configuration was performed in a resting supine position at baseline (521 m altitude) and after a sojourn of 24 hours at the Environmental Research Station Schneefernerhaus (UFS) at Zugspitze (2,650 m altitude). PRD and DC were assessed using validated software. Symptoms of AMS were assessed with the Lake Louise Acute Mountain Sickness Score (LLS). Results: During altitude exposure, PRD significantly increased from 1.50 ± 1.01 (mean ± standard deviation) deg2 to 3.51 ± 4.46 deg2 (p = 0.03). DC significantly decreased from 11.48 ± 2.91 ms to 9.94 ± 2.78 ms (p = 0.001). An increase of PRD and/or a decrease of DC correlated significantly with the level of LLS. The combined finding of an increase of PRD and a decrease of DC had a sensitivity of 100% and a specificity of 76.5% to diagnose AMS (LLS ≥3). Receiver operating characteristic (ROC) analysis showed an AUC (area under the ROC curve) of 0.77. Linear regression analysis revealed a significant association between LLS and an increase in PRD during high-altitude exposure. Conclusions: Our findings show an increase of PRD and a decrease of DC during altitude exposure. Combined PRD and DC analysis may have potential for the diagnosis of AMS.