scholarly journals Urbanization Effect on the Diurnal Temperature Range: Different Roles under Solar Dimming and Brightening*

2012 ◽  
Vol 25 (3) ◽  
pp. 1022-1027 ◽  
Author(s):  
Kai Wang ◽  
Hong Ye ◽  
Feng Chen ◽  
Yongzhu Xiong ◽  
Cuiping Wang
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Diurnal Temperature Range ◽  
Meteorological Data ◽  
Maximum Temperature ◽  
Urbanization Effect ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Increasing Trend ◽  
Urban And Rural Areas

Abstract Based on the 1960–2009 meteorological data from 559 stations across China, the urbanization effect on the diurnal temperature range (DTR) was evaluated in this study. Different roles of urbanization were specially detected under solar dimming and solar brightening. During the solar dimming time, both urban and rural stations showed decreasing trends in maximum temperature (Tmax) because of decreased radiation, suggesting that the dimming effects are not only evident in urban areas but also in rural areas. However, minimum temperature (Tmin) increased more substantially in urban areas than in rural areas during the dimming period, resulting in a greater decrease in the DTR in the urban areas. When the radiation reversed from dimming to brightening, the change in the DTR became different. The Tmax increased faster in rural areas, suggesting that the brightening could be much stronger in rural areas than in urban areas. Similar trends of Tmin between urban and rural areas appeared during the brightening period. The urban DTR continued to show a decreasing trend because of the urbanization effect, while the rural DTR presented an increasing trend. The remarkable DTR difference in the urban and rural areas showed a significant urbanization effect in the solar brightening time.

scholarly journals Impact of Diurnal Temperature Range on Cardiovascular Disease Hospital Admissions among Chinese Farmers in Dingxi(the Northwest China)

2021 ◽  
Author(s):  
Jintao Qi ◽  
Guangyu Zhai ◽  
Guorong Chai
Keyword(s):  
Cardiovascular Disease ◽  
Rural Areas ◽  
Diurnal Temperature Range ◽  
Hospital Admissions ◽  
Meteorological Data ◽  
Northwest China ◽  
Gansu Province ◽  
Cvd Risk ◽  
Diurnal Temperature ◽  
Temperature Range

Abstract Background: Diurnal temperature range (DTR), an important index of climate change, has been widely applied in exploring its effect on cardiovascular disease (CVD). However, few studies have investigated the correlations between DTR and CVD in poor rural areas in China. Methods: Therefore, using a distributed lag nonlinear model and a Poisson regression model, we evaluated this relationship among farmers living in the city of Dingxi (Northwest China). From 2016 to 2019, we obtained outpatient visits for CVD and meteorological data from the New Rural Cooperative Medical Insurance of Gansu Province (NRCMI) and Meteorological Science Data Sharing Service, respectively. The effects of DTR were examined in subgroups stratified by gender and age. Results: We observed nonlinear M-patterns between DTR and CVD hospitalizations among all subgroups when DTR was at the median level (13°C). Estimated effect of a relatively low DTR (5th percentile, 4°C) on the hospital admissions of CVD was stronger than the effect of a relatively high DTR (95th percentile, 19°C). We also found that the adverse effect of DTR on CVD risk was more pronounced in females and elderly than males and younger adults at the low DTR, and vice versa at the high DTR. Conclusions: These results could guide the local authorities to improve CVD preventive strategies in the rural areas.

scholarly journals Increase in Percentage of Seronegative Toxoplasma gondii and Cytomegalovirus in Pregnant Women: An Improvement in Hygienic Conditions in Certain Areas?

2020 ◽  
Vol 2020 (1) ◽  
pp. 1 ◽  
Author(s):  
Dan-Bogdan Navolan ◽  
Florin Gorun ◽  
Cristian Oancea ◽  
Ioana-Mihaela Ciohat ◽  
Daniel Malița ◽  
...  
Keyword(s):  
Toxoplasma Gondii ◽  
Pregnant Women ◽  
Rural Areas ◽  
Urban Areas ◽  
Primary Infection ◽  
Food Quality Control ◽  
Fetal Infection ◽  
Increasing Trend ◽  
Urban And Rural Areas ◽  
Pathogenic Agents

(1) Background: Toxoplasma gondii and cytomegalovirus belong to a group of pathogens entities called TORCH agents. TORCH represents an acronym which derives from the name of a series of certain pathogenic agents (Toxoplasma gondii, Other agents, Rubella virus, Cytomegalovirus, Herpes virus). They could cross the placenta barrier and cause serious damage to the fetus if a primary infection occurs in a pregnant woman. Immunized women are relatively protected against a reinfection and the risk of a materno-fetal infection in these categories of pregnant women is considered low. (2) Aim of the study: To analyze changes in the percentage of pregnant women seronegative to Toxoplasma gondii and cytomegalovirus along a period of ten years, from 2008 to 2018. (3) Material and Methods: We studied the changes in percentage of seronegative Toxoplasma gondii and Cytomegalovirus pregnant women along two periods: 2008–2010 and 2015–2018. Only pregnant women with declared medium of provenience and unequivocal results were enrolled in the study. (4) Results: In urban areas, we found an increase in the percentage of pregnant women seronegative to Toxoplasma gondii (RR = 1.488, p < 0.0001), respectively to cytomegalovirus (RR = 1.985, p < 0.0001), from 2008–2010 to 2015–2018. A similar increasing trend was found also in rural areas: Toxoplasma gondii (RR = 1.136, p < 0.0322), respectively cytomegalovirus (RR = 1.088, p < 0.8265) but it did not reach a significant threshold for cytomegalovirus. (5) Conclusion: Our study showed that the percentage of women seronegative to Toxoplasma gondii and cytomegalovirus antibodies increases along a period of ten years, from 2008–2010 to 2015–2018, in both urban and rural areas. Probably, the main cause of this trend is represented by the improvement in hygienic condition and food quality control. These results present an argument for continuing the TORCH screening of pregnant women.

scholarly journals A New Estimation of Urbanization’s Contribution to the Warming Trend in China

2015 ◽  
Vol 28 (22) ◽  
pp. 8923-8938 ◽  
Author(s):  
Fang Wang ◽  
Quansheng Ge ◽  
Shaowu Wang ◽  
Qingxiang Li ◽  
Philip D. Jones
Keyword(s):  
Climate Warming ◽  
Rural Areas ◽  
Urban Areas ◽  
Warming Trend ◽  
Heat Island ◽  
Urban Station ◽  
Urbanization Effect ◽  
Urban Heat ◽  
Urban And Rural Areas ◽  
Urban Effects

Abstract The extent to which an urbanization effect has contributed to climate warming is under debate in China. Some previous studies have shown that the urban heat island (UHI) contribution to national warming was substantial (10%–40%). However, by considering the spatial scale of urbanization effects, this study indicates that the UHI contribution is negligible (less than 1%). Urban areas constitute only 0.7% of the whole of China. According to the proportions of urban and rural areas used in this study, the weighted urban and rural temperature averages reduced the estimated total warming trend and also reduced the estimated urban effects. Conversely, if all stations were arithmetically averaged, that is, without weighting, the total warming trend and urban effects will be overestimated as in previous studies because there are more urban stations than rural stations in China. Moreover, the urban station proportion (68%) is much higher than the urban area proportion (0.7%).

scholarly journals Diurnal Temperature Range Variability due to Land Cover and Airmass Types in the Southeast

2010 ◽  
Vol 49 (5) ◽  
pp. 879-888 ◽  
Author(s):  
Kelsey N. Scheitlin ◽  
P. Grady Dixon
Keyword(s):  
Land Cover ◽  
Urban Areas ◽  
Diurnal Temperature Range ◽  
Deciduous Forest ◽  
Mixed Forest ◽  
Evergreen Forest ◽  
Climatic Data ◽  
Air Masses ◽  
Diurnal Temperature ◽  
Temperature Range

Abstract This study examines the relationship between diurnal temperature range (DTR) and land use/land cover (LULC) in a portion of the Southeast. Temperature data for all synoptically weak days within a 10-yr period are gathered from the National Climatic Data Center for 144 weather stations. Each station is classified as one of the following LULC types: urban, agriculture, evergreen forest, deciduous forest, or mixed forest. A three-way analysis of variance and paired-sample t tests are used to test for significant DTR differences due to LULC, month, and airmass type. The LULC types display two clear groups according to their DTR, with agricultural and urban areas consistently experiencing the smallest DTRs, and the forest types experiencing greater DTRs. The dry air masses seem to enhance the DTR differences between vegetated LULC types by emphasizing the differences in evapotranspiration. Meanwhile, the high moisture content of moist air masses prohibits extensive evapotranspirational cooling in the vegetated areas. This lessens the DTR differences between vegetated LULC types, while enhancing the differences between vegetated land and urban areas. All of the LULC types exhibit an annual bimodal DTR pattern with peaks in April and October. Since both vegetated and nonvegetated areas experience the bimodal pattern, this may conflict with previous research that names seasonal changes in evapotranspiration as the most probable cause for the annual trend. These findings suggest that airmass type has a larger and more consistent influence on the DTR of an area than LULC type and therefore may play a role in causing the bimodal DTR pattern, altering DTR with the seasonal distribution of airmass occurrence.

scholarly journals U.S. Diurnal Temperature Range Variability and Regional Causal Mechanisms, 1901–2002

2012 ◽  
Vol 25 (20) ◽  
pp. 7216-7231 ◽  
Author(s):  
Ryan G. Lauritsen ◽  
Jeffrey C. Rogers
Keyword(s):  
United States ◽  
Soil Moisture ◽  
Diurnal Temperature Range ◽  
Cloud Cover ◽  
The United States ◽  
Maximum Temperature ◽  
Climatic Research Unit ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Cover Soil

Abstract Long-term (1901–2002) diurnal temperature range (DTR) data are evaluated to examine their spatial and temporal variability across the United States; the early century origin of the DTR declines; and the relative regional contributions to DTR variability among cloud cover, precipitation, soil moisture, and atmosphere/ocean teleconnections. Rotated principal component analysis (RPCA) of the Climatic Research Unit (CRU) Time Series (TS) 2.1 dataset identifies five regions of unique spatial U.S. DTR variability. RPCA creates regional orthogonal indices of cloud cover, soil moisture, precipitation, and the teleconnections used subsequently in stepwise multiple linear regression to examine their regional impact on DTR, maximum temperature (Tmax), and minimum temperature (Tmin). The southwestern United States has the smallest DTR and cloud cover trends as both Tmax and Tmin increase over the century. The Tmin increases are the primary influence on DTR trend in other regions, except in the south-central United States, where downward Tmax trend largely affects its DTR decline. The Tmax and DTR tend to both exhibit simultaneous decadal variations during unusually wet and dry periods in response to cloud cover, soil moisture, and precipitation variability. The widely reported post-1950 DTR decline began regionally at various times ranging from around 1910 to the 1950s. Cloud cover alone accounts for up to 63.2% of regional annual DTR variability, with cloud cover trends driving DTR in northern states. Cloud cover, soil moisture, precipitation, and atmospheric/oceanic teleconnection indices account for up to 80.0% of regional variance over 1901–2002 (75.4% in detrended data), although the latter only account for small portions of this variability.

scholarly journals Temporal and Spatial Variability in Surface Air Temperature and Diurnal Temperature Range in Spain over the Period 1950–2011

Climate ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 16 ◽  
Author(s):  
Julia Bilbao ◽  
Roberto Román ◽  
Argimiro De Miguel
Keyword(s):  
Spatial Variability ◽  
Air Temperature ◽  
Rural Areas ◽  
Diurnal Temperature Range ◽  
Statistical Significance ◽  
Rate Of Change ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Temporal And Spatial Variability ◽  
Temporal And Spatial

Maximum (Tmax), minimum (Tmin), mean (Tmean) air temperature and diurnal temperature range (DTR) trends on a seasonal and annual time scale are evaluated from data recorded at nine Spanish weather stations during the period 1950–2011. Temporal and spatial variability in temperatures and in the diurnal temperature range (DTR) are presented. The non-parametric Theil-Sen approach and the Mann-Kendall test are used to evaluate anomaly temperature trends and their statistical significance, respectively. An air temperature reduction in Spain between 1950 and 1980 emerges and significant warming is observed between 1980 and 2011. On a seasonal scale, the weakest trends (mostly insignificant at the 5% confidence level) are noted during autumn, while the strongest warming rates were found during summer and spring. The rate of change between 1950 and 2011 in Tmax, Tmin and Tmean was 1.6 °C, 1.1 °C and 1.3 °C, respectively. DTR trends showed a decrease on the Mediterranean coast and a small change in northern, Atlantic and rural areas. The spatial distribution of annual and seasonal trends was plotted as isoline maps and strong trend gradients from the south to the north of the country are observed. DTR values were negatively correlated with relative humidity and precipitation and positively correlated with sunshine hours.

scholarly journals Temporal Analysis of Temperature and Precipitation Trends in Shaheed Benazir Abad Sindh, Pakistan

2017 ◽  
Vol 7 (6) ◽  
pp. 2171-2176 ◽  
Author(s):  
S. R. Samo ◽  
N. Bhatti ◽  
A. Saand ◽  
M. A. Keerio ◽  
D. K. Bangwar
Keyword(s):  
Diurnal Temperature Range ◽  
Kendall Test ◽  
Maximum Temperature ◽  
Linear Regression Method ◽  
Positive Trend ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Temperature And Precipitation ◽  
Mann Kendall Test ◽  
Rainy Days

Temperature and precipitation variations have a huge environmental, social and economic impact. This study aims to analyze the temporal variation of temperature and precipitation in Shaheed Benazir Abad district by using the linear regression method, the trend magnitude, the Mann-Kendall test and the Sen’s estimator of slope. The annual precipitation and monthly temperature data of Shaheed Benazir Abad for the period of 1996-2014 are considered. The result shows that the Diurnal temperature range of all months is decreasing due to the increasing of monthly minimum temperature at a faster rate than the monthly maximum temperature. However, the Diurnal temperature range of extreme events is increasing. The results obtained by using Mann-Kendall test revealed that rainfall exhibits significant positive trend. The trends of rainfall and rainy days show that the amount of rainfall is increasing much more rapidly than that of rainy days which indicates the occurrence of heavy events.

scholarly journals A Comparison of The Effect of Diurnal Temperature Range And Apparent Temperature On Cardiovascular Disease Among Farmers In Qingyang, Northwest China

2021 ◽  
Author(s):  
Guangyu Zhai ◽  
Jintao Qi ◽  
Xuemei Zhang ◽  
Wenjuan Zhou ◽  
Jiancheng Wang
Keyword(s):  
Cardiovascular Disease ◽  
Rural Areas ◽  
Diurnal Temperature Range ◽  
Hospital Admissions ◽  
Northwest China ◽  
Gansu Province ◽  
Apparent Temperature ◽  
Science Data ◽  
Diurnal Temperature ◽  
Temperature Range

Abstract Background: Apparent temperature (AT) and diurnal temperature range (DTR) have been extensively used to evaluate the effects of temperature on cardiovascular disease (CVD). However, few studies have analyzed and compared their effects on CVD in less-developed, rural areas of China.Methods: A case-only analysis was conducted of 43,567 cases of CVD morbidity in Qingyang (Northwest China) in 2011–2017 and the effects of thermal indicators were assessed using distributed lag nonlinear modelling and a Poisson regression model. Data on CVD morbidity originated from the New Rural Cooperative Medical Insurance of Gansu Province and meteorological variables were provided by the Meteorological Science Data Sharing Service.Results: Both AT and DTR had significant nonlinear and delayed impacts on hospital admissions for CVD. DTR had a stronger and more persistent effect on CVD incidence than AT. Women were more affected by high AT and low DTR than were men, while men were more vulnerable to low AT and high DTR. Temperature effects were not significantly different between people above and below 65 years of age.Conclusions: These findings provide local public health authorities with reference data concerning sensitive temperature indices for susceptible populations with a view to improving CVD preventive strategies in rural areas.

The Relationship between Diurnal Temperature Range (DTR) and Rainfall over Northern Thailand

2014 ◽  
Vol 931-932 ◽  
pp. 614-618
Author(s):  
Lukas Beule ◽  
Sarintip Tantanee
Keyword(s):  
Diurnal Temperature Range ◽  
Surface Air Temperature ◽  
Lag Time ◽  
Maximum Temperature ◽  
Northern Thailand ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Rainfall Prediction ◽  
The Impact ◽  
The Relationship

Since 1950, it has been found that the global diurnal temperature range (DTR), the difference between the minimum temperature (Tmin) and the maximum temperature (Tmax) of daily surface air temperature, has been temporally decreasing in several places all over the world. The aim of this study is to investigate the effect of DTR on the amount of total monthly rainfall (TRF) and the number of rainy days per month (RD), as well as to evaluate the possibility of using DTR as a parameter in the rainfall prediction process. The study area is in northern Thailand, which covers about one third of the total area of the country. The impact of DTR on rainfall over the studied area is evaluated from the relationship between DTR and TRF, as well as DTR and RD, by using long-term meteorological monthly data over 30 years (1978-2007). Besides, the relationships of RD, TRF, and the temperature of mean monthly Tmax and Tmin are also analysed. The significance of the correlation between the two parameters is identified by the coefficient of correlation. The possibility of using DTR is evaluated by estimating the relationships between DTR and a one month-lag time of RD and TRF. It is found that the DTR has a strong statistically significant ( > 99%) negative correlation with TRF and RD, as well as with the one month-lag time of TRF and RD. Therefore, it is possible to consider DTR as a significant parameter for rainfall prediction.

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