scholarly journals Climatic Analysis of Wind Patterns to Enhance Sailors’ Performance during Races

Climate ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 80
Author(s):  
Pietro Masino ◽  
Roberto Bellasio ◽  
Roberto Bianconi ◽  
Angelo Besana ◽  
Alessandro Pezzoli

The impact of environmental and meteorological conditions when dealing with sport performance has been demonstrated by several studies carried out in recent years. Among the meteorological variables with the greatest effect are temperature, humidity, precipitation, and wind direction and speed. This research focused on analyzing and forecasting the wind patterns occurring in Enoshima Bay (Japan). In particular, the objective of this study was to provide support and guidance to sailors in the preparation of the race strategy, thanks to an in-depth knowledge of these meteorological variables. To do this, an innovative method was used. First, through the combined use of Weather Research and Forecasting (WRF) and CALMET models, a simulation was performed, in order to reconstruct an offshore database of a recent 10-year period (2009–2018) over the race area, inside the bay. Subsequently, the verification of hind-cast was performed: the wind data measured at sea were compared with the data extracted from the CALMET database to verify the validity of the model. The verification was performed through three statistical indexes: BIAS, MAE, and PCC. The analysis showed mixed results, depending on the examined pattern, but made it possible to identify the days that best simulated the reality. Then, the wind data from the selected days were summarized and collected in plots, tables, and maps to design a decision support service (DSS), in order to provide athletes with the necessary information in a simple and effective way. In conclusion, we state that the application of this method extends beyond the sports field. Indeed, the study of wind patterns may be necessary in the design of actions to contrast and adapt to climate change, particularly in coastal areas.

2019 ◽  
Vol 58 (12) ◽  
pp. 2743-2754 ◽  
Author(s):  
Wonbae Jeon ◽  
Hwa Woon Lee ◽  
Tae-Jin Lee ◽  
Jung-Woo Yoo ◽  
Jeonghyeok Mun ◽  
...  

AbstractIn this study, we classify wind patterns that impacted PM10 concentrations in the Seoul Metropolitan Area (SMA), South Korea, from 2012 to 2016 and analyze their contributions to annual variability in particulate matter smaller than 10 μm in diameter (PM10). Using a k-means clustering analysis, we identify major wind patterns affecting PM10 concentrations from 2002 to 2016. We confirm that the impact of wind pattern changes on PM10 variability in the SMA from 2012 to 2016 was relatively greater than the impact from 2002 to 2011. We find that PM10 from 2012 to 2016 was mainly affected by wind patterns that were 1) associated with the transport of foreign emissions (our clusters H2, H4, and H5) and 2) favorable for ventilation (our clusters L1 and L2). This finding shows that PM10 variability was determined by overall variations in the respective wind patterns particularly associated with high (over 80 μg m−3) and low (below 30 μg m−3) PM10 concentrations. The results from 2012 to 2016 CMAQ simulations indicate that the effects of meteorological conditions (e.g., wind, temperature, humidity, and so on) on PM10 vary from year to year. The calculated PM10 anomalies from 2012 to 2016 were −4.97, 3.55, 1.73, 0.15, and −0.46 μg m−3, suggesting that the wind patterns in 2012 produced the least PM10 and those in 2013 produced the most.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 44-45
Author(s):  
S. Mingolla ◽  
A. Celano ◽  
M. Santopietro

Background:Covid-19 has had an important impact on the mental health conditions of over 5 million Italians suffering from one of the over 150 rheumatic diseases. In order to understand the psychological impact of the Covid-19 emergency and the restrictions imposed to counter it, the Italian National Association of People with Rheumatic and Rare Diseases – APMARR APS launched the research “Living with a rheumatic pathology”.Objectives:Gather data directly from Italian patients about the impact of the COVID-19 and consequent restrictions on their mental health and feelings; evaluate the most effective intervention to be implemented to face the pandemic by Patients organization.Methods:A qualitative-quantitative survey was carried out through a questionnaire administered throughout the national territory to a sample of N = 1,001 people. The people invited to complete the questionnaire were women (55,9%) and men (44,1%), aged 18-85 years (age 18-41=26,7%; age 42-65=64%; age >65=9,3%) with at least one rheumatic pathology. The questionnaire was made up of 39 questions, of which 29 were closed and 10 were open. For the administration of the questionnaires, the CAWI (Computer Aided Web Interview) methodology of on-line survey was used. The 1,001 interviews were carried out from 7 to 14 August 2020.Results:More than 4 out of 10 people (total sample 44.2%; male 60%, female 35,7%; age 18-41=39,1%; age 42-65=45,9%; age >65 = 50%) declared that the emergency period has somehow caused a worsening of their health condition. People declared that the deterioration of their health is due to the emergency period for the following reasons: 1) Psychological: such as stress and anxiety: “Too much stress and anxiety made the symptoms worse.”; “The stress of the quarantine affected my problem”; “Insomnia. Nervousness. General ailments. Depression. Strong stress” 2) Inability to perform physiotherapy and motor activities due to the lockdown 3) Postponement of examinations, visits and checks 4) remote working, in some cases described as harmful for people’s mental and physical health: “Due to Covid19 I had to do remote working and I worked even 12 hours a day including holidays to the detriment of my family life”.Furthermore, from January 31, 2020 a significant increase emerged in communication problems with rheumatology specialist compared to the period before the emergency due to Covid-19. The sharp increase may be due to the situation of severe psychological stress to which also the doctors were subjected in the emergency phase: people could not find the comfort of being empathically listened to.Conclusion:The research shows that the most frequent symptoms among people with rheumatic diseases were depression and high levels of anxiety due to strong emotional stress. Psychological malaise caused direct effects in worsening the symptoms of rheumatic disease as well as other related effects, for example, insomnia. The forced isolation due to the lockdown has made people lack the social support that is fundamental for the psychological well-being especially for those suffering from some chronic pathology. Starting from the data collected, APMARR promptly activated a completely free psychological support service with 6 professional psychologists, two of them specialized in emergency psychology. The service is accessible online and is still going on for all who are not able to overcome the anxiety and fear related to the pandemic and its evolution. Thousands of accesses to the service have been measured to date.References:S Mingolla1, A Celano1, M Santopietro2[1]NATIONAL ASSOCIATION OF PEOPLE WITH RHEUMATIC AND RARE DISEASES - APMARR APS[2]WeResearch. Ricerche di marketingDisclosure of Interests:None declared


Viruses ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 556
Author(s):  
Kacper Toczylowski ◽  
Magdalena Wietlicka-Piszcz ◽  
Magdalena Grabowska ◽  
Artur Sulik

The cold season is usually accompanied by an increased incidence of respiratory infections and increased air pollution from combustion sources. As we are facing growing numbers of COVID-19 cases caused by the novel SARS-CoV-2 coronavirus, an understanding of the impact of air pollutants and meteorological variables on the incidence of respiratory infections is crucial. The incidence of influenza-like illness (ILI) can be used as a close proxy for the circulation of influenza viruses. Recently, SARS-CoV-2 has also been detected in patients with ILI. Using distributed lag nonlinear models, we analyzed the association between ILI, meteorological variables and particulate matter concentration in Bialystok, Poland, from 2013–2019. We found an exponential relationship between cumulative PM2.5 pollution and the incidence of ILI, which remained significant after adjusting for air temperatures and a long-term trend. Pollution had the greatest effect during the same week, but the risk of ILI was increased for the four following weeks. The risk of ILI was also increased by low air temperatures, low absolute humidity, and high wind speed. Altogether, our results show that all measures implemented to decrease PM2.5 concentrations would be beneficial to reduce the transmission of SARS-CoV-2 and other respiratory infections.


Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 190
Author(s):  
William Hicks ◽  
Sean Beevers ◽  
Anja H. Tremper ◽  
Gregor Stewart ◽  
Max Priestman ◽  
...  

This research quantifies current sources of non-exhaust particulate matter traffic emissions in London using simultaneous, highly time-resolved, atmospheric particulate matter mass and chemical composition measurements. The measurement campaign ran at Marylebone Road (roadside) and Honor Oak Park (background) urban monitoring sites over a 12-month period between 1 September 2019 and 31 August 2020. The measurement data were used to determine the traffic increment (roadside–background) and covered a range of meteorological conditions, seasons, and driving styles, as well as the influence of the COVID-19 “lockdown” on non-exhaust concentrations. Non-exhaust particulate matter (PM)10 concentrations were calculated using chemical tracer scaling factors for brake wear (barium), tyre wear (zinc), and resuspension (silicon) and as average vehicle fleet non-exhaust emission factors, using a CO2 “dilution approach”. The effect of lockdown, which saw a 32% reduction in traffic volume and a 15% increase in average speed on Marylebone Road, resulted in lower PM10 and PM2.5 traffic increments and brake wear concentrations but similar tyre and resuspension concentrations, confirming that factors that determine non-exhaust emissions are complex. Brake wear was found to be the highest average non-exhaust emission source. In addition, results indicate that non-exhaust emission factors were dependent upon speed and road surface wetness conditions. Further statistical analysis incorporating a wider variability in vehicle mix, speeds, and meteorological conditions, as well as advanced source apportionment of the PM measurement data, were undertaken to enhance our understanding of these important vehicle sources.


Author(s):  
Zhujun Dai ◽  
Duanyang Liu ◽  
Kun Yu ◽  
Lu Cao ◽  
Youshan Jiang

Steady meteorological conditions are important external factors affecting air pollution. In order to analyze how adverse meteorological variables affect air pollution, surface synoptic situation patterns and meteorological conditions during heavy pollution episodes are discussed. The results showed that there were 78 RPHPDs (regional PM2.5 pollution days) in Jiangsu, with a decreasing trend year by year. Winter had the most stable meteorological conditions, thus most RPHPDs appeared in winter, followed by autumn and summer, with the least days in spring. RPHPDs were classified into three patterns, respectively, as equalized pressure (EQP), advancing edge of a cold front (ACF) and inverted trough of low pressure (INT) according to the SLP (sea level pressure). RPHPDs under EQP were the most (51%), followed by ACF (37%); INT was the minimum (12%). Using statistical methods and meteorological condition data on RPHPDs from 2013 to 2017 to deduce the thresholds and 2018 as an independent dataset to validate the proposed thresholds, the threshold values of meteorological elements are summarized as follows. The probability of RPHPDs without rain was above 92% with the daily and hourly precipitation of all RPHPDs below 2.1 mm and 0.8 mm. Wind speed, RHs, inversion intensity(ITI), height difference in the temperature inversion(ITK), the lower height of temperature inversion (LHTI) and mixed-layer height (MLH) in terms of 25%–75% high probability range were respectively within 0.5–3.6 m s−1, 55%–92%, 0.7–4.0 °C 100 m −1, 42–576 m, 3–570 m, 200–1200 m. Two conditions should be considered: whether the pattern was EQP, ACF or INT and whether the eight meteorological elements are within the thresholds. If both criteria are met, PM2.5 particles tend to accumulate and air pollution diffusion conditions are poor. Unfavorable meteorological conditions are the necessary, but not sufficient condition for RPHPDs.


Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1031
Author(s):  
Maciej Spychalski ◽  
Rafal Kukawka ◽  
Włodzimierz Krzesiński ◽  
Tomasz Spiżewski ◽  
Monika Michalecka ◽  
...  

Triggering the plant resistance induction phenomenon by chemical compounds, for example acibenzolar-S-methyl ester, has been known and described in scientific literature. Other benzothadiazole derivatives have been also described; however, their properties have not been sufficiently studied. The tested substance, N-methyl-N-methoxyamide-7-carboxybenzo(1.2.3)thiadiazole (BTHWA), is an amide derivative of benzothiadiazole, showing a stimulating effect on plant growth, apart from its plant resistance inducing activity. This article presents the impact of BTHWA, used solo and in the program with fungicides, on the strawberry plants development, fruits health, yield, and quality parameters of the crop. The results show that the combined use of BTHWA and fungicides had a positive impact on the plants health and fruit health and nutraceutical and nutritional composition of compounds when compared to the results obtained when strawberries were treated only with the BTHWA or the fungicide. As a result of BTHWA use, the partitioning of assimilates has changed, which directly translated into the results of the conducted experiments. A reduction in the respiration of the fruit during storage was also observed, possibly due to a reduced disease infestation and a lower dry matter content in the fruit. A correlation between the parameters determined during the experiment was found. The BTHWA mode of action was evidenced to be beneficial to strawberry plants and fruit.


Author(s):  
Lisa-Marie Schütz ◽  
Geoffrey Schweizer ◽  
Henning Plessner

The authors investigated the impact of video speed on judging the duration of sport performance. In three experiments, they investigated whether the speed of video presentation (slow motion vs. real time) has an influence on the accuracy of time estimation of sporting activities (n1 = 103; n2 = 100; n3 = 106). In all three studies, the time estimation was more accurate in real time than in slow motion, in which time was overestimated. In two studies, the authors initially investigated whether actions in slow motion are perceived to last longer because the distance they cycled or ran is perceived to be longer (n4 = 92; n5 = 106). The results support the hypothesis that the duration of sporting activities is estimated more accurately when they are presented in real time than in slow motion. Sporting officials’ judgments that require accurate time estimation may thus be biased when based on slow-motion displays.


2013 ◽  
Vol 448-453 ◽  
pp. 529-531
Author(s):  
Jing Bo Zhao ◽  
Li Bo Hao

Analysis of the causes of dust brick and tile production enterprises, from the impact on human health, the factory machinery and equipment wear, impact on environment protection, expounds the harmfulness of dust, and discusses the type, structure and function of the filter, as well as the precipitator combined use method and way to control dust.


Author(s):  
Armands Veveris ◽  
Peteris Lakovskis ◽  
Elita Benga

Less favoured area (LFA) payments and organic farming (OF) payments represent a third of all public funding available for RDP 2007–2013 in Latvia and are used by about two- thirds of all farms. The aim of the study is to assess the economic impact of LFA and OF payments. The data from Rural Support Service, FADN and statistics of agricultural sector were used to conduct the study. A group of farms receiving support payments was compared with a group without this kind of support, in order to evaluate the impact of support payments. The results show that LFA payments have facilitated a significant income growth, especially for small farms. They have also contributed to more intense use of the land. Since OF support has not contributed enough to the agricultural production, direct payments to production will increase economic impact of support payments.


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