45 research outputs found

    Ionospheric disturbances around the time of the Ms7.0 Lushan earthquake

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    Abstract:Variations of Vertical Total Electron Content (VTEC) in the ionosphere are investigated around the time of the Ms7. 0 Lushan earthquake. A time-series analysis shows an anomalous VTEC increase 15 days before as well as some anomalous VTEC decreases 5 days before and 8 hours after the earthquake. Each of these anomalies lasted more than 4 hours and drifted from east to west. The anomalous increase 15 days before the earthquake is significantly larger than the solar-terrestrial background noise, and is thus considered to be probably related to the earthquake

    Ionospheric disturbances around the time of the Ms7.0 Lushan earthquake

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    Abstract:Variations of Vertical Total Electron Content (VTEC) in the ionosphere are investigated around the time of the Ms7. 0 Lushan earthquake. A time-series analysis shows an anomalous VTEC increase 15 days before as well as some anomalous VTEC decreases 5 days before and 8 hours after the earthquake. Each of these anomalies lasted more than 4 hours and drifted from east to west. The anomalous increase 15 days before the earthquake is significantly larger than the solar-terrestrial background noise, and is thus considered to be probably related to the earthquake

    Spatio-temporal divergence in the responses of Finland's boreal forests to climate variables

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    Spring greening in boreal forest ecosystems has been widely linked to increasing temperature, but few studies have attempted to unravel the relative effects of climate variables such as maximum temperature (TMX), minimum temperature (TMN), mean temperature (TMP), precipitation (PRE) and radiation (RAD) on vegetation growth at different stages of growing season. However, clarifying these effects is fundamental to better understand the relationship between vegetation and climate change. This study investigated spatio-temporal divergence in the responses of Finland's boreal forests to climate variables using the plant phenology index (PPI) calculated based on the latest Collection V006 MODIS BRDF-corrected surface reflectance products (MCD43C4) from 2002 to 2018, and identified the dominant climate variables controlling vegetation change during the growing season (May-September) on a monthly basis. Partial least squares (PLS) regression was used to quantify the response of PPI to climate variables and distinguish the separate impacts of different variables. The study results show the dominant effects of temperature on the PPI in May and June, with TMX, TMN and TMP being the most important explanatory variables for the variation of PPI depending on the location, respectively. Meanwhile, drought had an unexpectedly positive impact on vegetation in few areas. More than 50 % of the variation of PPI could be explained by climate variables for 68.5 % of the entire forest area in May and 87.7 % in June, respectively. During July to September, the PPI variance explained by climate and corresponding spatial extent rapidly decreased. Nevertheless, the RAD was found be the most important explanatory variable to July PPI in some areas. In contrast, the PPI in August and September was insensitive to climate in almost all of the regions studied. Our study gives useful insights on quantifying and identifying the relative importance of climate variables to boreal forest, which can be used to predict the possible response of forest under future warming.Peer reviewe

    Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

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    Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

    Application of Kalman filter in detecting pre-earthquake ionospheric TEC anomaly

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    : As an attempt, the Kalman filter was used to study the anomalous variations of ionospheric Total Electron Content (TEC) before and after Wenchuan Ms8.0 earthquake, these TEC data were calculated from the GPS data observed by the Crustal Movement Observation Network of China. The result indicates that this method is reasonable and reliable in detecting TEC anomalies associated with large earthquakes

    A statistical investigation of pre-earthquake ionospheric TEC anomalies

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    Previous researches show that the total electron content (TEC) in the ionospheric exhibits anomalous disturbances a few days or hours prior to earthquakes. The paper used TEC data from Internet GPS Service (IGS), and examined 50 earthquakes of magnitude Ms ≥ 7.0 during 2007–2009 worldwide. The result shows significant anomalous increases and decreases about 7 days prior to 94% of the earthquakes

    Temporal and spatial characteristics of VTEC anomalies before Wenchuan Ms8.0 earthquake

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    GPS and the COD VTEC data were studied in search of ionospheric VTEC changes in space and time that might be associated with the Wenchuan Ms8.0 earthquake on 12 May, 2008. The result shows several significant anomalous decreases at 12: 00 UT – 16: 00 UT on April 29 and an anomalously increase at 14: 00 UT – 18: 00 UT on May 9. The anomalies had two humps, that were located on both sides of the geomagnetic equator and had a tendency of drifting towards the equator. Since the observed anomalies cannot be attributed to any other causes and since they occurred close to the time of the earthquake, we consider them to be possibly premonitory to the earthquake
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