scholarly journals 336 Seasonal Effects on Growth of Olneya tesota following Root Pruning

HortScience ◽  
1999 ◽  
Vol 34 (3) ◽  
pp. 501A-501
Author(s):  
Chris A. Martin ◽  
L. Brooke McDowell
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Sonoran Desert ◽  
Weather Conditions ◽  
Seasonal Effects ◽  
Root Pruning ◽  
Winter Conditions ◽  
Growth Room ◽  
Maximum Minimum ◽  
Minimum Air Temperature

Seedlings of Olneya tesota A. Gray (desert ironwood) were grown in 12-L containers filled with a peatmoss and pumice substrate (1:1 v/v) for 3 months under simulated summer or winter Sonoran Desert conditions in a walk-in growth chamber. Growth room irradiance (550 mmol•m-2•s-1) was provided with an even mixture of mercury vapor and high-pressure sodium high-intensity discharge lamps. Growth room air temperature and relative humidity were ramped hourly to approximate typical summer or winter weather conditions based on mean seasonal climatological data for Phoenix, Ariz. For simulated summer conditions, maximum/minimum air temperature range was 40/28 °C and maximum/minimum relative humidity range was 25%/12%. Photoperiod was 16 h. For simulated winter conditions, maximum/minimum air temperature and relative humidity were 20/5 °C and 80%/35%, respectively. Photoperiod was 10 h. After 2 months, desert ironwood root systems were cleaned of substrate by floatation in a water bath, pruned to a length of 15 cm, repotted, and then grown for an additional month under the same conditions. Only 41% of desert ironwood survived root pruning under summer conditions compared with a 100% survival rate under winter conditions. For surviving desert ironwood, shoot and root extension growth was significantly greater under summer conditions.

scholarly journals Perceived Influence of Weather Conditions on Rheumatic Pain in Romania

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Adina-Eliza Croitoru ◽  
Gabriela Dogaru ◽  
Titus Cristian Man ◽  
Simona Mălăescu ◽  
Marieta Motricală ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Pain Intensity ◽  
Air Temperature ◽  
Correlation Matrix ◽  
Great Majority ◽  
Weather Conditions ◽  
Weather Variables ◽  
Rheumatic Pain ◽  
Atmospheric Fronts ◽  
The Relationship

The main objective of this study was to analyze the perception of the influence of various weather conditions on patients with rheumatic pathology. A group of 394 patients, aged between 39 and 87 years and diagnosed with degenerative rheumatic diseases, were interviewed individually by using a questionnaire created specifically for this study. Further on, to assess the relationship between pain intensity and weather conditions, a frequency analysis based on Pearson’s correlation matrix was employed. The most important results are as follows: the great majority of the participants (more than 75%) believe that their rheumatic pain is definitely or to a great extent influenced by different weather conditions; most of the patients reported intensification of their pain with weather worsening, especially when cloudiness and humidity suddenly increase (83.8% and 82.0%, respectively), air temperature suddenly decreases (81.5%), and in fog or rain conditions (81.2%). In our research, alongside simple meteorological variables, we established that complex weather variables such as atmospheric fronts, in particular, the cold ones and winter anticyclonic conditions, greatly intensify the rheumatic pain, whereas summer anticyclonic conditions usually lead to a decrease in pain severity. In terms of relationships between pain intensity and weather conditions, we found the strongest correlations (ranging between 0.725 and 0.830) when temperature, relative humidity, and cloudiness are constantly high.

scholarly journals Effect of meteorological factors on influenza-like illness from 2012 to 2015 in Huludao, a northeastern city in China

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6919 ◽  
Author(s):  
Ying-Long Bai ◽  
De-Sheng Huang ◽  
Jing Liu ◽  
De-Qiang Li ◽  
Peng Guan
Keyword(s):  
Relative Humidity ◽  
Vapor Pressure ◽  
Air Temperature ◽  
Meteorological Factors ◽  
Meteorological Data ◽  
Lag Time ◽  
Temperature Minimum ◽  
The Relationship ◽  
Maximum Air Temperature ◽  
Minimum Air Temperature

Background This study aims to describe the epidemiological patterns of influenza-like illness (ILI) in Huludao, China and seek scientific evidence on the link of ILI activity with weather factors. Methods Surveillance data of ILI cases between January 2012 and December 2015 was collected in Huludao Central Hospital, meteorological data was obtained from the China Meteorological Data Service Center. Generalized additive model (GAM) was used to seek the relationship between the number of ILI cases and the meteorological factors. Multiple Smoothing parameter estimation was made on the basis of Poisson distribution, where the number of weekly ILI cases was treated as response, and the smoothness of weather was treated as covariates. Lag time was determined by the smallest Akaike information criterion (AIC). Smoothing coefficients were estimated for the prediction of the number of ILI cases. Results A total of 29, 622 ILI cases were observed during the study period, with children ILI cases constituted 86.77%. The association between ILI activity and meteorological factors varied across different lag periods. The lag time for average air temperature, maximum air temperature, minimum air temperature, vapor pressure and relative humidity were 2, 2, 1, 1 and 0 weeks, respectively. Average air temperature, maximum air temperature, minimum air temperature, vapor pressure and relative humidity could explain 16.5%, 9.5%, 18.0%, 15.9% and 7.7% of the deviance, respectively. Among the temperature indexes, the minimum temperature played the most important role. The number of ILI cases peaked when minimum temperature was around −13 °C in winter and 18 °C in summer. The number of cases peaked when the relative humidity was equal to 43% and then began to decrease with the increase of relative humidity. When the humidity exceeded 76%, the number of ILI cases began to rise. Conclusions The present study first analyzed the relationship between meteorological factors and ILI cases with special consideration of the length of lag period in Huludao, China. Low air temperature and low relative humidity (cold and dry weather condition) played a considerable role in the epidemic pattern of ILI cases. The trend of ILI activity could be possibly predicted by the variation of meteorological factors.

scholarly journals Effect of Lockdown,Temperature,and Humidity on the Pattern of COVID-19 in Erbil Province,Kurdistan Region, Iraq

2021 ◽  
Vol 20 (2) ◽  
pp. 56-67
Author(s):  
Rundk Hwaiz ◽  
◽  
Katan Ali ◽  
Namir Al-Tawil
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Death Rate ◽  
Weather Conditions ◽  
World Health ◽  
The Novel ◽  
Number Of Patients ◽  
Temperature And Humidity ◽  
Novel Coronavirus ◽  
Health Organization

Background: COVID-19 was first reported in Erbil province in Iraq on March 19, 2020. The effect of lockdown on reducing the spread of the novel coronavirus and the effect of weather conditions (air temperature and humidity) on the daily reported number of cases and death rate of COVID-19 were investigated during April to July, 2020. Objective: To investigate the effect of lock down on reducing the spread of the novel coronavirus pandemic and the effect of weather conditions (air temperature and humidity) on the daily reported number of cases and death rate of COVID-19. Patients and Methods: The data collected during three different periods, the first (total lockdown), followed by the second period of lockdown relaxation, which was followed by the third period (interrupted relaxation of lockdown) that reported hundreds of new cases daily. The real-time PCR .assay was performed on suspected COVID-19 patients according to the protocol established by the World Health Organization. Results: Temperature and relative humidity were recorded in Erbil city in Iraq. Patients’ age ranged (2-70) years old. Out of (1469) patients confirmed positive with COVID-19, 57.7% of them were males, 31.3% were females, and the rest (11%) were children. The mean number of patients per day was 32.77 during the period of interrupted relaxation lockdown which was significantly higher than in the total-lock down period (3.88 patient), and the relaxation lockdown period (1.93 patient). The mortality rate per day was 0.77 during the period of interrupted relaxation lockdown was significantly higher than the rates (0.0%) of the other periods. Moreover, increasing the temperature increased the number of confirmed cases in July while, low relative humidity significantly increased the rate of reported cases. Conclusion: The increase in the number of reported cases of COVID-19, might be related to the interruption of lockdown. Moreover, the daily reported cases and mortality rates increased by increasing the temperature from April to June.

scholarly journals Microclimate in understories of a mango orchard and a degraded area in the Eastern Amazon

2018 ◽  
Vol 13 (4) ◽  
pp. 1
Author(s):  
Juliana Chagas Rodrigues ◽  
Izildinha Souza Miranda ◽  
Adriano Marlisom Leão de Sousa
Keyword(s):  
Air Temperature ◽  
Rainy Season ◽  
Vapor Pressure Deficit ◽  
Dry Season ◽  
Vegetation Coverage ◽  
Four Seasons ◽  
Degraded Area ◽  
Thermal Amplitude ◽  
Maximum Minimum ◽  
Minimum Air Temperature

Changes in land use alter regional microclimate. This study compared the microclimate in understories of a mango orchard and a degraded area in the municipality of Salinópolis, in the northeast of the Brazilian State Pará, eastern Amazon. In both environments, the microclimate was monitored through collecting data on the following variables: maximum, minimum and average air temperature, air thermal amplitude and vapor pressure deficit. The microclimate was monitored daily during four seasons: early rainy season, late rainy season, early dry season and late dry season, between December 2015 and November 2016. Vegetation coverage was the most important factor to soften maximum and average air temperature in the understories. Lower values of meteorological variables were observed in the mango orchard understory, especially during late rainy season and late dry season, except for minimum air temperature, which was lower in the understory of the degraded area, especially during the late rainy season. The microclimate in the understory differed between both environments, and mango orchards may ameliorate the understory microclimate more efficiently than degraded areas; therefore, the mango orchard can be used as an alternative for the rehabilitation of degraded areas.

scholarly journals The Association between Weather Conditions (Ambient Air Temperature and Relative Humidity) with Coronavirus Disease (COVID-19) Risk in Bandar Abbas, Iran

2021 ◽  
Author(s):  
Yadolah Fakhri ◽  
Mostafa Hadei ◽  
Ali Rostami ◽  
Ali Mouseli
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Weather Conditions ◽  
Ambient Air ◽  
P Value ◽  
Spearman Correlation ◽  
Ambient Air Temperature ◽  
Spearman Correlation Test ◽  
Bandar Abbas ◽  
And Control

Abstract Background: This study was devoted to evaluate the association between COVID-19 infection and weather conditions in Bandar Abbas, Iran. Methods: The positive cases data was retrieved from the Ministry of Health and Medical Education of Iran (MOHME) and weather conditions from the Iran meteorological organization (IMO) from the 01, October 2020 to 27, November 2020. The components of weather consist of average of the ambient air temperature (°C) and relative humidity (%). The Spearman correlation test was used to determine the association between weather conditions (temperature and relative humidity) with COVID-19 infection.Results: Spearman analysis showed that air temperature (Coefficient = -0.303 and P-value = 0.001) were negatively associated with COVID-19 infection. However, no significant association was observed between relative humidity (Coefficient = 0.088 and P-value = 0.340) and COVID-19 infection. Hence, the ambient air temperature can be considered as a considerable variable in the COVID-19 infection in Bandar Abbas. Conclusions: The results of this study can be used for prevention and control of COVID-19 infection in areas with similar meteorological conditions in world.

scholarly journals Cladosporium spores in the air of Szczecin

2012 ◽  
Vol 60 (2) ◽  
pp. 99-104 ◽  
Author(s):  
Agnieszka Grinn-Gofroń
Keyword(s):  
Seasonal Variation ◽  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Meteorological Parameters ◽  
Weather Conditions ◽  
Spore Count ◽  
Maximum Air Temperature

Moulds are common aeroallergens and <i>Cladosporium</i> is considered to be the most prevalent of them. The objective of the studies was to determine the seasonal variation in concentrations of <i>Cladosporium</i> spores due to meteorological parameters. The meteorological parameters analysed were maximum air temperature, relative humidity, amount of precipitation and wind speed. The greatest threat from <i>Cladosporium</i> allergens was posed from the middle of May (2004, 2006) and June (2005) till the middle of October (2005) and in the end of October (2004) till the middle of November (2006). Statistically significant correlations were found among the <i>Cladosporium</i> spore count in the air and maximum air temperature in all the analysed seasons, and amount of precipitation only in one season. The spore count of <i>Cladosporium</i> was determined by weather conditions, especially by air temperature.

Temporal simulation of diurnal temperature and relative humidity evolution at a forested mountainous site in Attica, Greece

2002 ◽  
Vol 11 (2) ◽  
pp. 95 ◽  
Author(s):  
Haralambos Feidas ◽  
Constantinos Cartalis ◽  
Constantinos Lagouvardos
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Weather Conditions ◽  
Diurnal Temperature ◽  
Area Of Interest ◽  
Daily Cycles ◽  
Temperature And Humidity ◽  
Weather Changes ◽  
Definition Of ◽  
June July

Knowledge of the prevailing weather conditions regarding air temperature and humidity is critical for the definition of the Fire Weather and Fire Danger indices. In this study, two fitting algorithms were developed for the simulation of the diurnal air temperature and relative humidity cycles, using 2-hourly measurements at the forested site of Mount Parnes in Attica, Greece. Both algorithms use as input values the observed daily minimum and maximum values of air temperature and humidity to simulate the temperature and relative humidity daily cycles, respectively. In general, the algorithms provide satisfactory results especially for the three summer months (June, July and August). A 2-day prediction of the diurnal temperature and humidity cycles was also attempted using as input the temperature or humidity data of the previous days in the area of interest. The prediction may be considered satisfactory for the three summer months and less satisfactory for May and September due to weather instability. Finally a dynamic model was also used for supporting the performance of the developed algorithms, especially in the event of sudden weather changes.

Summer Thermal Environment Measurement and Analysis of Subtropical Campus

2011 ◽  
Vol 71-78 ◽  
pp. 4440-4443
Author(s):  
Lei Zhang ◽  
Qing Lin Meng
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Thermal Environment ◽  
Heat Stroke ◽  
Weather Conditions ◽  
Heat Radiation ◽  
Water Tree ◽  
University Of Technology ◽  
Typical Summer ◽  
The University

In subtropical areas of China, air temperature and relative humidity were relatively high in summer, as well as the solar radiation. In the university campus, students are relatively concentrated and have more outdoor activities. Hot and humid weather conditions may cause students uncomfortable and even heat stroke. Therefore, the influences of landscape design on thermal environment should be taken into account in the process of campus planning. In this paper, the field measurement of outdoor air temperature, relative humidity, wind velocity, heat radiation and integrated hot environmental indicator namely wet bulb global temperature were carried out around the Dong Lake in South China University of Technology in typical summer days. The impacts of design methods of water, tree, grass and floor on thermal environment were analyzed.

scholarly journals Trends in Crop Reference Evapotranspiration and Climatological Variables Across Ceará State – Brazil

2019 ◽  
Vol 34 (1) ◽  
pp. 79-88
Author(s):  
Virginia Ellen do Nascimento Paulino ◽  
Ticiana Marinho de Carvalho Studart ◽  
José Nilson B. Campos ◽  
Carlos J. Pestana ◽  
Renata Mendes Luna ◽  
...  
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Water Demand ◽  
Reference Evapotranspiration ◽  
Statistical Tests ◽  
Meteorological Variables ◽  
Maximum Temperature ◽  
Positive Trend ◽  
Minimum Air Temperature

Abstract Irrigation has a substantial share in total world water demand. At the global level, the withdrawal ratio for agriculture is 69 percent. Irrigation is necessary to compensate evapotranspiration (ET) deficit due to insufficient precipitation. Knowing the impacts of climatic changes on meteorological variables that directly affect the ET is important for successful climate adaptation. This paper analyzes annual trends in measured meteorological variables and in the crop reference evapotranspiration (ET0), at eight climatological stations in Ceará State, Brazil. Two statistical tests for trend analysis were used - Mann-Kendall and linear regression. The results indicate positive trend, statistically significant, in the maximum air temperature in five of eight stations. Minimum air temperature showed positive trend in three stations. Wind speed, sunshine hours and relative humidity presented positive and negative trends. These irregular patterns directly impacted ET0 in three stations. It seems that the increasing trend in ET0 was probably due to a significant increase detected in maximum temperature and minimum air temperature, not fully offset by the decrease in wind speed and relative humidity. The warning from these results is that water demand for irrigation is expected to significantly increase over the next decades on in Jaguaribe River Basin.

scholarly journals Detrended Multiple Cross-Correlation Coefficient applied to solar radiation, air temperature and relative humidity

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrea de Almeida Brito ◽  
Heráclio Alves de Araújo ◽  
Gilney Figueira Zebende
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
Solar Energy ◽  
Correlation Coefficient ◽  
Air Temperature ◽  
Cross Correlation ◽  
Global Solar Radiation ◽  
Meteorological Variables ◽  
Hourly Data ◽  
Cross Correlations

AbstractDue to the importance of generating energy sustainably, with the Sun being a large solar power plant for the Earth, we study the cross-correlations between the main meteorological variables (global solar radiation, air temperature, and relative air humidity) from a global cross-correlation perspective to efficiently capture solar energy. This is done initially between pairs of these variables, with the Detrended Cross-Correlation Coefficient, ρDCCA, and subsequently with the recently developed Multiple Detrended Cross-Correlation Coefficient, $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2. We use the hourly data from three meteorological stations of the Brazilian Institute of Meteorology located in the state of Bahia (Brazil). Initially, with the original data, we set up a color map for each variable to show the time dynamics. After, ρDCCA was calculated, thus obtaining a positive value between the global solar radiation and air temperature, and a negative value between the global solar radiation and air relative humidity, for all time scales. Finally, for the first time, was applied $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2 to analyze cross-correlations between three meteorological variables at the same time. On taking the global radiation as the dependent variable, and assuming that $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}={\bf{1}}$$DMCx2=1 (which varies from 0 to 1) is the ideal value for the capture of solar energy, our analysis finds some patterns (differences) involving these meteorological stations with a high intensity of annual solar radiation.

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