Study on Test Materials with the Relationship between Growth and Development Characteristics and Temperature and Relative Humidity of Jacaranda mimosifolia

2013 ◽  
Vol 743 ◽  
pp. 189-194
Author(s):  
Ying Sun ◽  
Fan Li ◽  
Jin An Shi
Keyword(s):  
Relative Humidity ◽  
Growth And Development ◽  
Test Material ◽  
Predominant Role ◽  
Average Temperature ◽  
Monthly Average ◽  
Basic Law ◽  
Significant Difference ◽  
The Relationship ◽  
Jacaranda Mimosifolia

Jacaranda mimosifolia of 55-year-old in Sichuan Neijiang was selected as test material. Through the observation of its growth and development by 2011 and the analysis of temperature and relative humidity, this study discussed its basic law of growth and development and the relationship between temperature and RH factor. By analysis of variance, there was no significant difference in monthly average temperature and RH between 2011 and the climate in Neijiang, the temperature and RH of 2011 could reflect the situation of Neijiang regional climatic. The results showed that the average annual growth of J. mimosifolia new shoot was 32.4cm and the average thickness was 11.2mm, and appeared thrice sprouting and twice flowering phenomenon per year. Combined the characteristics of growth and development of J. mimosifolia, the length and thickness of spring shoot, summer shoot and autumn shoot were both extremely different (P<0.01), and two florescence appeared in Spring and Autumn when the temperature was not different significantly. Therefore, temperature played an apparently predominant role in its growth and development.

scholarly journals Testing the Relationship Between Air Temperature and Relative Humidity by Using T-Test for Some Selected Stations in Iraq

2021 ◽  
Vol 32 (2) ◽  
pp. 1
Author(s):  
Iqbal Khalaf Al-Ataby ◽  
Amani Ibraheem Altmimi
Keyword(s):  
Relative Humidity ◽  
T Test ◽  
Annual Average ◽  
Main Hypothesis ◽  
Human Comfort ◽  
Factors Affecting ◽  
Average Temperature ◽  
Monthly Average ◽  
Increasing Trend ◽  
The Relationship

Temperature and relative humidity are the most important factors affecting on human comfort. This Research test the monthly average temperature and relative humidity for some selected stations in Iraq, three stations (Baghdad - Mosul - Basra) to find the pattern covariance of the annual average of temperatures and relative humidity for the period of time (2000-2014) By using the Welch T-test or paired T- test, We find that the calculated value is greater than the tabular value in both stations (Baghdad - Mosul) and (Baghdad - Basra) for both temperatures and relative humidity, and this indicates an increasing trend in the average of temperature and relative humidity in two stations (Baghdad - Mosul) and (Baghdad - Basra), and since the main hypothesis is that there is a relationship between the two racists and the calculations prove that, so we reject the null hypothesis, which proves the validity of the main hypothesis, i.e. there is a relationship between temperature and humidity in these selected stations.

scholarly journals The Effect of Temperature and Humidity May Reduce the Growth Rate of the Coronavirus Disease 2019 Epidemic

2020 ◽  
Author(s):  
Lei Qin ◽  
Qiang Sun ◽  
Jiani Shao ◽  
Yang Chen ◽  
Xiaomei Zhang ◽  
...  
Keyword(s):  
Growth Rate ◽  
Relative Humidity ◽  
Effect Of Temperature ◽  
Average Temperature ◽  
Temperature And Humidity ◽  
Scatter Plots ◽  
Low Humidity ◽  
Average Relative Humidity ◽  
Effects Of Temperature ◽  
The Relationship

Abstract Background: The effects of temperature and humidity on the epidemic growth of coronavirus disease 2019 (COVID-19)remains unclear.Methods: Daily scatter plots between the epidemic growth rate (GR) and average temperature (AT) or average relative humidity (ARH) were presented with curve fitting through the “loess” method. The heterogeneity across days and provinces were calculated to assess the necessity of using a longitudinal model. Fixed effect models with polynomial terms were developed to quantify the relationship between variations in the GR and AT or ARH.Results: An increased AT dramatically reduced the GR when the AT was lower than −5°C, the GR was moderately reduced when the AT ranged from −5°C to 15°C, and the GR increased when the AT exceeded 15°C. An increasedARH increased theGR when the ARH was lower than 72% and reduced theGR when the ARH exceeded 72%.Conclusions: High temperatures and low humidity may reduce the GR of the COVID-19 epidemic. The temperature and humidity curves were not linearly associated with the COVID-19 GR.

scholarly journals Relationships Between Weather Conditions, Agronomic Practices, and Fermentation Characteristics with Deoxynivalenol Content in Fresh and Ensiled Maize

Plant Disease ◽  
2005 ◽  
Vol 89 (11) ◽  
pp. 1151-1157 ◽  
Author(s):  
M. A. Mansfield ◽  
E. D. De Wolf ◽  
G. A. Kuldau
Keyword(s):  
Cultural Practices ◽  
Weather Conditions ◽  
Weather Data ◽  
Average Temperature ◽  
Agronomic Practices ◽  
Daily Average ◽  
No Till ◽  
Significant Difference ◽  
The Relationship ◽  
Hybrid Development

The deoxynivalenol (DON) content of maize silage was determined in samples collected at harvest and after ensiling in 2001 and 2002 from 30 to 40 Pennsylvania dairies. Information on cultural practices, hybrid maturity, planting, and harvest date was collected from each site. Site-specific weather data and a corn development model were used to estimate hybrid development at each site. Correlation analysis was used to assess the relationship between weather data, hybrid development, cultural practices and preharvest DON. Fermentation characteristics (moisture, pH, and so on) of ensiled samples were measured to study their relationship to postharvest DON contamination. No significant difference (P ≤ 0.05) was noted between the numbers of samples containing DON in 2001 and 2002, although concentration was higher in 2002 samples. A positive correlation was observed between DON concentration of harvest samples and daily average temperature, minimum temperature, and growing degree day during tasselling, silking, and milk stages. A negative correlation was observed between daily average precipitation at blister stage and DON concentration in harvest samples. Samples from no-till or minimum-till locations had higher DON concentrations than moldboard or mixed-till locations. Harvest samples had higher DON concentration than ensiled samples, suggesting that some physical, chemical, or microbiological changes, resulting from ensiling, may reduce DON in storage.

The Control Technique of Rubber Borers by Pheromone Traps in Hainan

2014 ◽  
Vol 962-965 ◽  
pp. 699-702
Author(s):  
Hui Lu ◽  
Fu Ping Lu ◽  
Xue Lian Xu ◽  
Qing Chen
Keyword(s):  
Bark Beetles ◽  
Control Method ◽  
Control Technique ◽  
Average Temperature ◽  
Ecological Control ◽  
Significant Difference ◽  
The World ◽  
Important Pest ◽  
The Mean ◽  
The Relationship

The rubber borers, called of the bark beetles, is the most important pest of the rubber trees in the world. The effect of the pheromone releasing measure, a kind of ecological control method, was investigated over 2 years in Nanbao Farm, Lingao county, Hainan, China. The pheromone used was (s)-(+)-Ipsidenol, a commercially available rubber borers aggregation pheromone. There were 6 treatments, including 10m, 20m, 30m, 40m, 50m and 100m distance. Pheromone lures were changed monthly at which time the traps were moved to a different location within the stand. There were no significant differences in 30m distance catches of the rubber borers per traps. Meanwhile, there was no significant difference in plant damage between the pheromone treatment of 2.5 mg/mL and 3 mg/mL traps. The results also showed that the relationship between the mean number of the rubber borers per 5 days and average temperature was not significant.

scholarly journals The Temperature of Japan Modelling Japan’s Average Monthly Temperature from 1901 to 2015

2018 ◽  
Vol 2 (3) ◽  
pp. 224-228
Author(s):  
Batol Shiwa Hashimi ◽  
Aissa Boudjella ◽  
Wagma Saboor
Keyword(s):  
Time Series ◽  
Polynomial Regression ◽  
Polynomial Function ◽  
Average Difference ◽  
Time Intervals ◽  
Average Temperature ◽  
Monthly Average ◽  
The Past ◽  
Temperature Trends ◽  
The Relationship

The purpose of this investigation is to examine the variation of temperature in Japan over the past 114 years. The historical dataset of the monthly average temperature from 1901 to 2015 were analyzed. The relationship between temperature and time during the four time intervals, i.e (1901 -1930), (1931-1960), (1961-1990) and (1991-2015) is described using a new analytical model based on the last –square method of estimation. We accurately fit a polynomial regression trend of degree 4 to the time series to describe the temperature variation. The results show the average difference of temperature between 2015 and 1901 increases about 0.97 °C. The average monthly difference between the maximum and minimum temperature was approximately 2.11 °C. This approach of modeling temperature using regression form significantly simplifies the data analysis. The information from data, namely the variation of the temperature, maybe be obtained from the extracted parameters such as slope, y-intercept, and the coefficients of polynomial function that are a function of time. More importantly, the parameters that describe the time variation temperature trends over 115 years obtained with a high R-squared do not vary significantly. This is in agreement with the Earth’s average temperature that has climbed to more 1 oC.

scholarly journals Interrelationship between daily COVID-19 cases and average temperature as well as relative humidity in Germany

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Naleen Chaminda Ganegoda ◽  
Karunia Putra Wijaya ◽  
Miracle Amadi ◽  
K. K. W. Hasitha Erandi ◽  
Dipo Aldila
Keyword(s):  
Relative Humidity ◽  
Warning System ◽  
Temporal Correlation ◽  
Social Lives ◽  
Average Temperature ◽  
System A ◽  
Auto Correlation ◽  
Significant Difference ◽  
Average Relative Humidity ◽  
Practical Implications

AbstractCOVID-19 pandemic continues to obstruct social lives and the world economy other than questioning the healthcare capacity of many countries. Weather components recently came to notice as the northern hemisphere was hit by escalated incidence in winter. This study investigated the association between COVID-19 cases and two components, average temperature and relative humidity, in the 16 states of Germany. Three main approaches were carried out in this study, namely temporal correlation, spatial auto-correlation, and clustering-integrated panel regression. It is claimed that the daily COVID-19 cases correlate negatively with the average temperature and positively with the average relative humidity. To extract the spatial auto-correlation, both global Moran’s $${\mathscr {I}}$$ I and global Geary’s $${\mathscr {C}}$$ C were used whereby no significant difference in the results was observed. It is evident that randomness overwhelms the spatial pattern in all the states for most of the observations, except in recent observations where either local clusters or dispersion occurred. This is further supported by Moran’s scatter plot, where states’ dynamics to and fro cold and hot spots are identified, rendering a traveling-related early warning system. A random-effects model was used in the sense of case-weather regression including incidence clustering. Our task is to perceive which ranges of the incidence that are well predicted by the existing weather components rather than seeing which ranges of the weather components predicting the incidence. The proposed clustering-integrated model associated with optimal barriers articulates the data well whereby weather components outperform lag incidence cases in the prediction. Practical implications based on marginal effects follow posterior to model diagnostics.

scholarly journals Spatiotemporal Distribution of Hand, Foot, and Mouth Disease in Guangdong Province, China and Potential Predictors, 2009–2012

2019 ◽  
Vol 16 (7) ◽  
pp. 1191 ◽  
Author(s):  
Yijing Wang ◽  
Yingsi Lai ◽  
Zhicheng Du ◽  
Wangjian Zhang ◽  
Chenyang Feng ◽  
...  
Keyword(s):  
Relative Risk ◽  
Relative Humidity ◽  
Disease Control ◽  
Foot And Mouth Disease ◽  
Guangdong Province ◽  
Average Temperature ◽  
Monthly Average ◽  
Average Rainfall ◽  
Control And Prevention ◽  
Average Relative Humidity

Background: Hand, foot, and mouth disease (HFMD) is a common infectious disease among children. Guangdong Province is one of the most severely affected provinces in south China. This study aims to identify the spatiotemporal distribution characteristics and potential predictors of HFMD in Guangdong Province and provide a theoretical basis for the disease control and prevention. Methods: Case-based HFMD surveillance data from 2009 to 2012 was obtained from the China Center for Disease Control and Prevention (China CDC). The Bayesian spatiotemporal model was used to evaluate the spatiotemporal variations of HFMD and identify the potential association with meteorological and socioeconomic factors. Results: Spatially, areas with higher relative risk (RR) of HFMD tended to be clustered around the Pearl River Delta region (the mid-east of the province). Temporally, we observed that the risk of HFMD peaked from April to July and October to December each year and detected an upward trend between 2009 and 2012. There was positive nonlinear enhancement between spatial and temporal effects, and the distribution of relative risk in space was not fixed, which had an irregular fluctuating trend in each month. The risk of HFMD was significantly associated with monthly average relative humidity (RR: 1.015, 95% CI: 1.006–1.024), monthly average temperature (RR: 1.045, 95% CI: 1.021–1.069), and monthly average rainfall (RR: 1.004, 95% CI: 1.001–1.008), but not significantly associated with average GDP. Conclusions: The risk of HFMD in Guangdong showed significant spatiotemporal heterogeneity. There was spatiotemporal interaction in the relative risk of HFMD. Adding a spatiotemporal interaction term could well explain the change of spatial effect with time, thus increasing the goodness of fit of the model. Meteorological factors, such as monthly average relative humidity, monthly average temperature, and monthly average rainfall, might be the driving factors of HFMD.

Relationship between meteorological conditions and respiratory syncytial virus in a tropical country

2015 ◽  
Vol 143 (12) ◽  
pp. 2679-2686 ◽  
Author(s):  
C. E. RODRIGUEZ-MARTINEZ ◽  
M. P. SOSSA-BRICEÑO ◽  
R. ACUÑA-CORDERO
Keyword(s):  
Respiratory Syncytial Virus ◽  
Wind Speed ◽  
Relative Humidity ◽  
Solar Radiation ◽  
Latin American ◽  
Meteorological Conditions ◽  
Acute Lower Respiratory Infection ◽  
Average Temperature ◽  
Monthly Average ◽  
Syncytial Virus

SUMMARYThis study aimed to determine which meteorological conditions are associated with respiratory syncytial virus (RSV) isolates in a population of children hospitalized with acute lower respiratory infection (ALRI) in Bogota, Colombia. In an analytical cross-sectional study, links were examined between the number of monthly RSV infections and monthly average climatic variation (temperature, relative humidity, rainfall, wind speed, solar radiation) between 1 January 2010 and 30 April 2011 in a population of hospitalized children aged <3 years with ALRI caused by RSV. Out of a total of 1548 children included in the study (mean age 9·2 ± 8·5 months), 1194 (77·1%) presented RSV infection during the 3-month period from March to May. In the multivariate analysis, after controlling for wind speed, relative humidity, and solar radiation, monthly average temperature [incident rate ratio (IRR) 3·14, 95% confidence interval (CI) 1·56–6·30,P= 0·001] and rainfall (IRR 1·008, 95% CI 1·00–1·01,P= 0·048) were independently associated with the monthly number of RSV infections. In conclusion, in Bogota, a tropical Latin American city, average temperature and rainfall are the meteorological variables most strongly associated with RSV isolation in children hospitalized with ALRI in the city.

scholarly journals Role of Climatic Conditions on the Incidence of Varicella in an Out-patient Clinic of a Tertiary Care Pediatric Hospital at Dhaka

2021 ◽  
Vol 10 (1-2) ◽  
pp. 11-17
Author(s):  
Mahfuza Hussain ◽  
Md Nurul Amin ◽  
Md Rafiqul Islam
Keyword(s):  
Relative Humidity ◽  
Seasonal Pattern ◽  
Climatic Data ◽  
Spring Season ◽  
Total Rainfall ◽  
Chicken Pox ◽  
Average Temperature ◽  
Monthly Average ◽  
Monthly Average Temperature ◽  
Two Peaks

Background & objective : Chicken pox or varicella is a disease of both tropical and temperate zones bearing a complex-relationship with climatic variables, like temperature, rainfall and relative humidity, wind velocity and so on. As no study has, by far, been conducted to relate its occurrence with these climatic variables in Bangladesh, this study was intended to explore the effect of weather conditions on the incidence of varicella in Dhaka city of Bangladesh. Methods: The present cross-sectional study obtained data of 172 varicella cases from the records of the daily register of Out-patient Department of Dhaka Shisu Hospital, Dhaka between January 2018 to December 2019. According to the study protocol a child was diagnosed as having varicella or chicken pox who had a history of short febrile illness accompanied by a pruritic vesicular eruption (on the face and trunk)) of the skin and mucous membranes which ultimate weeps out and crusts. Total number of cases treated monthly at Out-patient Department (OPD) during the period was also recorded. Climatic data were provided by Bangladesh Meteorological Department, which among others, included monthly average temperature, relative humidity (RH) and amount of rainfall or precipitation. While the outcome variable was monthly number of varicella cases, the predictive variables were average temperature, humidity and rainfall during the study period. Result: Over 70% of children were 1-10 years old with median age of the children being 5.5 years (range: < 1 month -14 years). Boys were a bit higher (54%) than the girls (46%). A seasonal pattern of chicken pox was seen with clustering of cases between mid-February to mid-April (spring season) with two peaks – one in February and another in April, when monthly average temperature, total rainfall and humidity all were at their optimum. The peak incidences of chicken pox cases during the spring both in 2018 and 2019 as correlated with climatic data of the same period, it is seen that the prevailing weather then was optimum-average temperature was 23°C, average precipitation was 20-25% of the total annual precipitation and relative humidity was around 65%. Conclusion: The study concluded that majority of the varicella cases occur under ten years of age and boys are a little more susceptible to have the infection than the girls. A seasonal pattern of chicken pox is clearly seen with clustering of cases between mid-February to mid-April (spring season) with two peaks when monthly average temperature, total rainfall and humidity all are optimally favorable for the multiplication of varicella zoster virus. Ibrahim Card Med J 2020; 10 (1&2): 11-17

scholarly journals An Overview of Hand held Sun Photometer Measurements of Atmospheric Aerosols in New Orleans, Louisiana: A case study of the Xavier University Study Site

2018 ◽  
Author(s):  
Maryssa Bradley ◽  
Barry Sevalia ◽  
Morewell Gaseller
Keyword(s):  
Relative Humidity ◽  
Atmospheric Aerosols ◽  
Negative Relationship ◽  
Barometric Pressure ◽  
Average Value ◽  
Monthly Average ◽  
Positive Meaning ◽  
Sun Photometer ◽  
University Of Louisiana ◽  
The Relationship

Aerosol optical depth (AOT) was measured at Xavier University of Louisiana (29.96ᵒ N, 90.11ᵒ W and about 3m above sea level) using a hand-held sun photometer. AOT was measured at two different wavelengths (green at 505nm and red at 625nm) during the period from Sept-2017 to Feb-2018. In this study, we investigate the relationship between AOT and temperature, precipitation, barometric pressure and relative humidity. The maximum monthly average value for green AOT was 0.176 (measured in September) and the minimum monthly value is 0.040 (measured in January). For the red AOT the maximum monthly average value was 0.123 (measured in September) and the minimum is 0.034 (measured in December). The AOT–temperature relationship was predominantly positive, meaning that high AOT values correspond to high temperatures and low AOT values correspond to low temperatures. Relationship between AOT and rainfall is negative, meaning high rainfall averages are associated with low AOT values. AOT and atmospheric pressure have a predominantly negative relationship. The relationship between relative humidity and AOT is a complicated one and is hard to qualify as relative humidity varies very little during the study period.

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