The Impact of Meteorological Factors on Dune Dynamics

The presence of air pollution in ambient air is closely related to the incidence of adverse reactions affecting human health. One of harmful pollutants and potentially major cause health problems is sulfur dioxide (SO 2 ). The number of vehicles that are passing and queuing on the crossroads because of traffic light can affect the concentration of SO 2 . Besides, in these locations there are a lot of road users which are potentially exposed by contaminants, so information about the concentration of SO 2 is important to know. This study aimed to investigate the impact of meteorological factors and the number of vehicles on SO 2 concentrations. Impinger was used for air sampling, and pararosaniline method was used for determining SO 2 concentration. Sampling and calculation of the number of passing vehicles were performed 3 times ie in the morning, afternoon and evening. Based on the results of the study, the highest concentrations of SO 2 were on the range of 15-21 mg/Nm3.

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Temperature variation and the incidence of cluster headache periods: A nationwide population study

Cephalalgia ◽

10.1177/0333102413520083 ◽

2014 ◽

Vol 34 (9) ◽

pp. 656-663 ◽

Cited By ~ 8

Author(s):

Y-Jung Lee ◽

Yung-Tai Chen ◽

Shuo-Ming Ou ◽

Szu-Yuan Li ◽

Albert C Yang ◽

...

Keyword(s):

Cluster Headache ◽

Seasonal Changes ◽

Meteorological Factors ◽

Nationwide Survey ◽

Research Database ◽

Case Crossover ◽

Mean Temperature ◽

Taiwan National Health Insurance ◽

Central Weather Bureau ◽

The Impact

Background Cluster headache (CH) is well known to show a seasonal predilection; however, the impact of temperature and other meteorological factors on cluster periods (or bouts) has not been established. Methods This nationwide survey included 758 patients with episodic CH retrieved from the Taiwan National Health Insurance Research Database from 2005 to 2009. Corresponding meteorological recordings were obtained from the Central Weather Bureau. A case-crossover study design was used to investigate the association between cluster periods and meteorological factors. Results A total of 2452 episodes of cluster periods were recorded. The cluster periods were most frequent in the autumn and least frequent in the winter. Seasonal changes from winter to spring and from autumn to winter also increased the frequency of cluster periods. The risk of cluster periods increased when there was a higher mean temperature on event days (odds ratio (OR), 1.014, 95% confidence interval (CI), 1.005–1.023, p = 0.003) or within seven to 56 days. Either an increase or a decrease in temperature (0.05℃/day) following a warm period (mean temperature ≥26℃) was associated with the onset of cluster periods. In contrast, a greater increase in temperature (0.15℃/day) following a cold period (mean temperature < 21℃) was needed to evoke cluster periods. No such associations were found following moderate periods (21℃ ≤mean temperature <26℃). Discussion Our study shows that temperature is associated with precipitating or priming cluster periods. The influence depends on the temperature of the preceding periods.

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Meteorological factors against COVID-19 and the role of human mobility

PLoS ONE ◽

10.1371/journal.pone.0252405 ◽

2021 ◽

Vol 16 (6) ◽

pp. e0252405

Author(s):

Olivier Damette ◽

Clément Mathonnat ◽

Stéphane Goutte

Keyword(s):

Solar Radiation ◽

Indirect Effects ◽

Meteorological Factors ◽

Human Mobility ◽

Human Behaviour ◽

Effect Of Temperature ◽

Empirical Literature ◽

Physical Factors ◽

Social Distancing ◽

The Impact

In the vein of recent empirical literature, we reassessed the impact of weather factors on Covid-19 daily cases and fatalities in a panel of 37 OECD countries between 1st January and 27th July 2020. We considered five different meteorological factors. For the first time, we used a dynamic panel model and considered two different kinds of channels between climate and Covid-19 virus: direct/physical factors related to the survival and durability dynamics of the virus on surfaces and outdoors and indirect/social factors through human behaviour and individual mobility, such as walking or driving outdoors, to capture the impact of weather on social distancing and, thus, on Covid-19 cases and fatalities. Our work revealed that temperature, humidity and solar radiation, which has been clearly under considered in previous studies, significantly reduce the number of Covid-19 cases and fatalities. Indirect effects through human behaviour, i.e., correlations between temperature (or solar radiation) and human mobility, were significantly positive and should be considered to correctly assess the effects of climatic factors. Increasing temperature, humidity or solar radiation effects were positively correlated with increasing mobility effects on Covid-19 cases and fatalities. The net effect from weather on the Covid-19 outbreak will, thus, be the result of the physical/direct negative effect of temperature or solar radiation and the mobility/indirect positive effect due to the interaction between human mobility and those meterological variables. Reducing direct effects of temperature and solar radiation on Covid-19 cases and fatalities, when they were significant, were partly and slightly compensated for positive indirect effects through human mobility. Suitable control policies should be implemented to control mobility and social distancing even when the weather is favourable to reduce the spread of the Covid-19 virus.

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METHODOLOGICAL PROBLEMS OF THE MATHEMATICAL ESTIMATION OF THE IMPACT OF METEOROLOGICAL FACTORS ON ADAPTIVE FUNCTIONS OF THE HUMAN

Hygiene and Sanitation ◽

10.18821/0016-9900-2017-96-3-253-257 ◽

2019 ◽

Vol 96 (3) ◽

pp. 253-257

Author(s):

Nurlan K. Smagulov ◽

A. A. Adilbekova

Keyword(s):

High School ◽

Mathematical Analysis ◽

Meteorological Factors ◽

Meteorological Data ◽

Correlation Coefficients ◽

Dose Effect ◽

Output Factors ◽

The Central Nervous System ◽

Methodological Problems ◽

The Impact

The work is dedicated to methodological problems of the mathematical assessment of the impact of meteorological factors on the adaptive function of the teachers of the High School Institutions. Objects of research. Male teachers of the High School Institution, aged of from 24 to 49 years. Meteorological data were evaluated during the investigation of anthropometric indices of height and weight, individual-typological features and the physiological assessment of the central nervous system, cardiovascular system of the High School teachers. Statistical analysis was performed with the use of Statistica 6.0 package and special statistical software. Paired correlation coefficients obtained as a result of calculation were used to estimate the proportion of the influence of input factors (arguments) on the output factors (functions). A mathematical analysis has allowed to reveal leading meteorological factors that cause a certain level of functional exhaustion during the investigated period. The use of a non-linear correlation analysis allowed to enhance significantly the ability for analytical processing of the results, increase of the effectiveness and the possibility of interpreting the interaction of factors in achieving optimal adaptation of teachers in the working process and to identify the role of meteorological factors in this process. Knowledge of leading factors and the percentage of their contribution to the functional state allowed to give the more accurate assessment of stress to the organism in specific circumstances. The ultimate aim of the mathematical analysis should be not only to find the critical value defined the priority factor characterizing the degree of of information load, but the critical combination of all priority factors causing disruption and the beginning of “start-up” adaptation process in the system “dose-effect. “

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The Impact of Air Pollutants and Meteorological Factors on Chronic Obstructive Pulmonary Disease Exacerbations: A Nationwide Study

Annals of the American Thoracic Society ◽

10.1513/annalsats.202103-298oc ◽

2021 ◽

Author(s):

Jin-Young Huh ◽

Jinwook Hong ◽

Dong-Woo Han ◽

Young-Jun Park ◽

Jaehun Jung ◽

...

Keyword(s):

Chronic Obstructive Pulmonary Disease ◽

Pulmonary Disease ◽

Air Pollutants ◽

Meteorological Factors ◽

Chronic Obstructive ◽

Obstructive Pulmonary Disease ◽

Nationwide Study ◽

The Impact

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Meteorological Factors Controlling 7Be Activity Concentrations in the Atmospheric Surface Layer in Northern Spain

Atmosphere ◽

10.3390/atmos11121340 ◽

2020 ◽

Vol 11 (12) ◽

pp. 1340

Author(s):

Natalia Alegría ◽

Miguel Ángel Hernández-Ceballos ◽

Margarita Herranz ◽

Raquel Idoeta ◽

Fernando Legarda

Keyword(s):

Atmospheric Surface Layer ◽

Meteorological Parameters ◽

Meteorological Factors ◽

Back Trajectory ◽

Monthly Variation ◽

Northern Spain ◽

Surface Level ◽

Analysis Techniques ◽

Activity Concentrations ◽

The Impact

This work presents the analysis of weekly 7Be activity concentrations in the air measured in Bilbao (northern Spain) by collecting aerosols in filters over a ten years period (2009–2018). 7Be level is in the 0.35–7.3 mBq/m3 range, with a mean of 3.20 ± 1.12 mBq/m3. The trend, cycle, seasonal and monthly variability are evaluated using time series analysis techniques. The results indicate the impact of sunspots (24th solar cycle) on interannual 7Be activity concentrations, and a significant seasonal and monthly variation, with maximum concentrations occurring in spring-summer and minimum in the winter. The correlation of different 7Be ranges with local meteorological parameters, such as precipitation, temperature, relative humidity, and pressure, is also addressed, with precipitation having the greatest impact on 7Be activity values. The analysis of synoptic airflows, by calculating the back-trajectory clusters, and local winds at surface level reveals the important influence of the arrival of slow northwest Atlantic flows and the development of breezes on reaching high 7Be activity concentrations in this area.

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Associations between Meteorological Factors and Visceral Leishmaniasis Outbreaks in Jiashi County, Xinjiang Uygur Autonomous Region, China, 2005–2015

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16101775 ◽

2019 ◽

Vol 16 (10) ◽

pp. 1775 ◽

Cited By ~ 3

Author(s):

Yi Li ◽

Canjun Zheng

Keyword(s):

Relative Humidity ◽

Visceral Leishmaniasis ◽

Meteorological Factors ◽

Public Health Problem ◽

Monitoring And Control ◽

Autonomous Region ◽

Xinjiang Uygur Autonomous Region ◽

Increasing Temperature ◽

And Control ◽

The Impact

Although visceral leishmaniasis disease is controlled overall in China, it remains a serious public health problem and remains fundamentally uncontrolled in Jiashi County, Xinjiang Uygur Autonomous Region. During 2005–2015, there were two outbreaks in Jiashi County. Assessing the influence of meteorological factors on visceral leishmaniasis incidence is essential for its monitoring and control. In this study, we applied generalized estimating equations to assess the impact of meteorological factors on visceral leishmaniasis risk from 2005 to 2015. We also compared meteorological factors among years with Kruskal–Wallis test to explore possible reasons behind the two outbreaks that occurred during our study period. We found that temperature and relative humidity had very significant associations with visceral leishmaniasis risk and there were interactions between these factors. Increasing temperature or decreasing relative humidity could increase the risk of visceral leishmaniasis events. The outbreaks investigated might have been related to low relative humidity and high temperatures. Our findings will support the rationale for visceral leishmaniasis control in China.

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Identifying Risk Factors Of A(H7N9) Outbreak by Wavelet Analysis and Generalized Estimating Equation

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16081311 ◽

2019 ◽

Vol 16 (8) ◽

pp. 1311

Author(s):

Qinling Yan ◽

Sanyi Tang ◽

Zhen Jin ◽

Yanni Xiao

Keyword(s):

Risk Factors ◽

Wavelet Analysis ◽

Disease Transmission ◽

Media Coverage ◽

Meteorological Factors ◽

Impact Factors ◽

Observation Data ◽

Time Frequency ◽

The Impact ◽

H7n9 Outbreak

Five epidemic waves of A(H7N9) occurred between March 2013 and May 2017 in China. However, the potential risk factors associated with disease transmission remain unclear. To address the spatial–temporal distribution of the reported A(H7N9) human cases (hereafter referred to as “cases”), statistical description and geographic information systems were employed. Based on long-term observation data, we found that males predominated the majority of A(H7N9)-infected individuals and that most males were middle-aged or elderly. Further, wavelet analysis was used to detect the variation in time-frequency between A(H7N9) cases and meteorological factors. Moreover, we formulated a Poisson regression model to explore the relationship among A(H7N9) cases and meteorological factors, the number of live poultry markets (LPMs), population density and media coverage. The main results revealed that the impact factors of A(H7N9) prevalence are manifold, and the number of LPMs has a significantly positive effect on reported A(H7N9) cases, while the effect of weekly average temperature is significantly negative. This confirms that the interaction of multiple factors could result in a serious A(H7N9) outbreak. Therefore, public health departments adopting the corresponding management measures based on both the number of LPMs and the forecast of meteorological conditions are crucial for mitigating A(H7N9) prevalence.

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Association of meteorological factors with seasonal activity of influenza A subtypes and B lineages in subtropical western China

Epidemiology and Infection ◽

10.1017/s0950268818003485 ◽

2019 ◽

Vol 147 ◽

Cited By ~ 2

Author(s):

M. Pan ◽

H. P. Yang ◽

J. Jian ◽

Y. Kuang ◽

J. N. Xu ◽

...

Keyword(s):

Annual Cycle ◽

Influenza A ◽

Meteorological Factors ◽

Temporal Distribution ◽

Absolute Humidity ◽

Influenza Viruses ◽

Control Measures ◽

Western China ◽

The Tropics ◽

The Impact

AbstractThe seasonality of individual influenza subtypes/lineages and the association of influenza epidemics with meteorological factors in the tropics/subtropics have not been well understood. The impact of the 2009 H1N1 pandemic on the prevalence of seasonal influenza virus remains to be explored. Using wavelet analysis, the periodicities of A/H3N2, seasonal A/H1N1, A/H1N1pdm09, Victoria and Yamagata were identified, respectively, in Panzhihua during 2006–2015. As a subtropical city in southwestern China, Panzhihua is the first industrial city in the upper reaches of the Yangtze River. The relationship between influenza epidemics and local climatic variables was examined based on regression models. The temporal distribution of influenza subtypes/lineages during the pre-pandemic (2006–2009), pandemic (2009) and post-pandemic (2010–2015) years was described and compared. A total of 6892 respiratory specimens were collected and 737 influenza viruses were isolated. A/H3N2 showed an annual cycle with a peak in summer–autumn, while A/H1N1pdm09, Victoria and Yamagata exhibited an annual cycle with a peak in winter–spring. Regression analyses demonstrated that relative humidity was positively associated with A/H3N2 activity while negatively associated with Victoria activity. Higher prevalence of A/H1N1pdm09 and Yamagata was driven by lower absolute humidity. The role of weather conditions in regulating influenza epidemics could be complicated since the diverse viral transmission modes and mechanism. Differences in seasonality and different associations with meteorological factors by influenza subtypes/lineages should be considered in epidemiological studies in the tropics/subtropics. The development of subtype- and lineage-specific prevention and control measures is of significant importance.

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