Background:This study investigated the relationship between meteorological factors and daily outpatient visits to rabies post-exposure prophylaxis clinics to inform animal injury prevention strategies.Methods:Daily ou...Background:This study investigated the relationship between meteorological factors and daily outpatient visits to rabies post-exposure prophylaxis clinics to inform animal injury prevention strategies.Methods:Daily outpatient visit data from rabies post-exposure prophylaxis clinics in Jinan and corresponding meteorological data were collected from January 1,2020,to December 31,2022.A generalized additive model was used to quantitatively assess the relationship between these factors.A total of 202,010 patients visited these clinics during this period.Results:Daily mean,maximum,and minimum temperatures,and relative humidity were positively associated with outpatient visits.A 1°C increase in mean,maximum,and minimum temperatures corresponded to increases in daily visits of 1.65%(95%Confidence Interval(CI):1.55–1.76),1.59%(95%CI:1.50–1.69),and 1.27%(95%CI:1.17–1.36)respectively.Each 1%increase in relative humidity was associated with a 0.18%(95%CI:0.15–0.20)increase in visits.Mean pressure was negatively associated with outpatient visits,the outpatient visits decreased by 0.91%(95%CI:−1.71 to−0.11)for every 1 kPa increased in mean pressure.Conclusion:The change of meteorological factors will lead to the increase of outpatient visits in rabies exposure treatment clinic.展开更多
Objective To assess the independent and combined effects of air pollutants,meteorological factors,and greenspace exposure on new tuberculosis(TB)cases.Methods TB case data from Shanghai(2013–2018)were obtained from t...Objective To assess the independent and combined effects of air pollutants,meteorological factors,and greenspace exposure on new tuberculosis(TB)cases.Methods TB case data from Shanghai(2013–2018)were obtained from the Shanghai Center for Disease Control and Prevention.Environmental data on air pollutants,meteorological variables,and greenspace exposure were obtained from the National Tibetan Plateau Data Center.We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases.Results Increased TB risk was linked to PM_(2.5),PM_(10),and rainfall,whereas NO_(2),SO_(2),and air pressure were associated with a reduced risk.Specifically,the strongest cumulative effects occurred at various lags:PM_(2.5)(RR=1.166,95%CI:1.026–1.325)at 0–19 weeks;PM_(10)(RR=1.167,95%CI:1.028–1.324)at 0–18 weeks;NO_(2)(RR=0.968,95%CI:0.938–0.999)at 0–1 weeks;SO_(2)(RR=0.945,95%CI:0.894–0.999)at 0–2 weeks;air pressure(RR=0.604,95%CI:0.447–0.816)at 0–8 weeks;and rainfall(RR=1.404,95%CI:1.076–1.833)at 0–22 weeks.Green space exposure did not significantly impact TB cases.Additionally,low temperatures amplified the effect of PM_(2.5)on TB.Conclusion Exposure to PM_(2.5),PM_(10),and rainfall increased the risk of TB,highlighting the need to address air pollutants for the prevention of TB in Shanghai.展开更多
Tuberculosis(TB)remained the first leading cause of death from a single infectious agent worldwide in 2023,resulting in nearly twice as many deaths as those caused by the human immunodeficiency virus/acquired immune d...Tuberculosis(TB)remained the first leading cause of death from a single infectious agent worldwide in 2023,resulting in nearly twice as many deaths as those caused by the human immunodeficiency virus/acquired immune deficiency syndrome.An estimated 10.8 million TB cases were reported globally in 2023,with approximately 1.25 million associated deaths.In China,which ranks third in the global TB burden,there were approximately 741,000 new cases and 25,000 deaths in 2023^([1]).TB poses a significant threat to human health worldwide.展开更多
Based on the monitoring data of PM 10 concentration from six environmental monitoring stations and the ground meteorological observation data in Yantai City from 2019 to 2021,the spatial and temporal variation of PM 1...Based on the monitoring data of PM 10 concentration from six environmental monitoring stations and the ground meteorological observation data in Yantai City from 2019 to 2021,the spatial and temporal variation of PM 10 concentration and its relationship with meteorological factors were studied.The results show that from the perspective of temporal variation,the annual average of PM 10 concentration in Yantai City tended to decrease year by year.It was high in winter and spring and low in summer and autumn.In terms of monthly variation,the changing curve is U-shaped,and it was high in December and January but low in July and August.During a day,PM 10 concentration had two peaks.The first peak appeared approximately from 09:00 to 11:00,and the second peak can be found from 21:00 to 23:00.From the perspective of spatial distribution,PM 10 concentration was the highest in the development area and Fushan District.It was the highest in the west,followed by the east,while it was the lowest in the middle.The spatial difference rate was the highest in summer.Average temperature,relative humidity,wind speed and precipitation were the main meteorological factors influencing PM 10 concentration in Yantai area.PM 10 concentration was negatively correlated with average temperature and relative humidity,and the correlation was the most significant from June to October.It was negatively correlated with wind speed and precipitation,and the correlation was different in various months.The negative correlation was significant in summer and winter.展开更多
To clarify the relationships between the main chemical components in flue-cured tobacco in Guizhou and field meteorological factors during the tobacco growing period,the contributions of meteorological factors to the ...To clarify the relationships between the main chemical components in flue-cured tobacco in Guizhou and field meteorological factors during the tobacco growing period,the contributions of meteorological factors to the chemical composition of flue-cured tobacco and related componentswere explored in this study.Theflue-cured tobacco variety Y87 was used as the experimental material,and tobacco samples and meteorological data were collected from seven typical tobacco-growing areas in Guizhou Province.Using a random forest model and canonical correlation analysis,the impact and contribution of the monthly mean temperature,precipitation,and sunshine duration during the field growing period to the chemical indicators of tobacco leaves were investigated.During the growing period of flue-cured tobacco in Guizhou,meteorological factors showed considerable variation,with the magnitude of change decreasing in the order of precipitation,sunshine duration,and mean temperature.Precipitation in April,mean temperature in June and August,and sunshine duration in April and May had the most significant impacts on the main chemical components of tobacco leaves,particularly nicotine,total sugar,and starch,with coefficients of variation reaching 14.93%,14.59%,and 24.27%,respectively.The precipitation in May and June,mean temperature in August,and sunshine duration in June played key roles in influencing the nitrogen-nicotine ratio and total-reducing sugar ratio.Moreover,the mean temperature in May,precipitation in July,and mean temperature in July substantially contributed to the nicotine and total nitrogen contents,with contribution rates of 19.17%,12.19%,and 17.36%,respectively,to the nicotine content.Sunshine duration in May,mean temperature in August,and sunshine duration in July significantly contributed to starch content,with rates of 17.45%,15.34%,and 13.27%.During the root extension stage,vigorous growth stage,and maturation stage,meteorological factors primarily affected the accumulation of nitrogenous compounds such as nicotine and total nitrogen.Themean temperatures in May and July contributed 19.17% and 17.36% respectively to nicotine accumulation;whereas during the maturation stage and harvest stage,these factors mainly impacted the accumulation of carbohydrates such as starch and total sugars,The mean temperature in August and sunshine duration in July contributed 15.34% and 13.27% respectively to starch accumulation.Therefore,ensuring tobacco seedling transplantation is completed before May and appropriately extending the maturation period can promote the accumulation of carbon-nitrogen compounds in tobacco leaves and improve leaf quality.展开更多
In this study, the relationship between major meteorological factors and tobacco chemical components in different altitudes of Yongde County, Lincang Region of Yunnan Province was studied using correlation analysis an...In this study, the relationship between major meteorological factors and tobacco chemical components in different altitudes of Yongde County, Lincang Region of Yunnan Province was studied using correlation analysis and path analysis methods.The results showed that there was a difference on meteorological factors in different altitudes, causing different impacts on chemical components of flue-cured tobacco; contents of nicotine and total nitrogen decreased with the rising of altitude, conversely, total sugar and reducing sugar contents increased with the rising trend of altitude, and the differences on the contents of potassium （K） and chlorine（CI）, and the ratio of K to CI in different altitudes were not significant, at the altitude of 1 250-1 450 m, each chemical component indicator was better. The correlation between main meteorological factors and conventional chemical components of tobacco leaves was as follows： contents of reducing sugar and total sugar increased with the increase of rainfall and relative humidity, and decreased with the increase of sunshine duration; nicotine content increased with the increase of accumulated temperature and sunshine duration; total nitrogen （N） content increased with the increase of daily mean temperature and accumulated temperature; sugar-alkali ratio increased with the increase of rainfall. Path analysis showed that the direct effect of sunshine duration on reducing sugar and total sugar of tobacco leaves was faint, but the indirect effect was obvious; meanwhile, the direct and indirect effects of it on nicotine and total N were the greatest.展开更多
[Objective]The experiment aimed to study the effects of meteorological factors under different weather conditions on soil respiration. [ Method] The path analysis was used to analyze meteorological factors which influ...[Objective]The experiment aimed to study the effects of meteorological factors under different weather conditions on soil respiration. [ Method] The path analysis was used to analyze meteorological factors which influenced soil respiration of wheat field under different weather condition and at jointing stage. [ Result] In sunny day, the correlations between ground temperature at 5 cm, solar radiation, air relative humidity, air temperature and soil respiration were all at significant level while solar radiation and ground temperature at 5 cm were the major factors which influenced soil respiration. In cloudy day, solar radiation was a major factor which influenced soil respiration.[ Conclusion] The soil respiration and surplus path coefficient in sunny day were all higher than these in cloudy day, which demonstrated that except influenced by ground temperature, air temperature, solar radiation and air relative humidity, the soil respiration was also influenced by other factors especially biological factor.展开更多
To explore main meteorological factors influencing wheat production in Dengzhou City, changes of meteorological factors and their effects on the growth and development of wheat in Dengzhou City from 2001 to 2015 were ...To explore main meteorological factors influencing wheat production in Dengzhou City, changes of meteorological factors and their effects on the growth and development of wheat in Dengzhou City from 2001 to 2015 were analyzed, and countermeasures to increase wheat yield were put forward. The results show that constant decrease of of sunshine duration have limited the increase of wheat yield, and it is necessary to improve photosynthetic efficiency to increase wheat yield.展开更多
[Objective] The aim was to research relationship of meteorological factors with rapeseed yield and yield components. [Method] A field test was carried out, with meteorological information collected from local Meteorol...[Objective] The aim was to research relationship of meteorological factors with rapeseed yield and yield components. [Method] A field test was carried out, with meteorological information collected from local Meteorological Administration. The data were then through statistical work and regression analysis was made on correlation of meteorological factors with yield and yield components supported by DPS. [Result] The number of pod per plant is closely related to meteorological fac- tors in seedling stage. Specifically, the number is of positive correlation with precipi- tation in seedling stage and of negative correlation with average temperature and sunshine hour. The number of grain per pod is of positive correlation with precipita- tion in seedling stage and negative correlation with temperature in seedling stage and sunshine hour in anthesis. Thousand-seed weight is of positive correlation with sunshine hour in seedling stage and negative correlation with precipitation in seedling stage. [Conclusion] Moisture of soils should be guaranteed by surface cov- erage in order to promote seedling growth, maintain ventilation in fields and reduce effects of rainfall on rapeseed flowering.展开更多
Potential evapotranspiration （E0）, as an estimate of the evaporative demand of the atmosphere, has been widely studied in the fields of irrigation management, crop water demand and predictions in ungauged basins （P...Potential evapotranspiration （E0）, as an estimate of the evaporative demand of the atmosphere, has been widely studied in the fields of irrigation management, crop water demand and predictions in ungauged basins （PUBs）. Analysis of the sensitivity of E0 to meteorological factors is a basic research on the impact of climate change on water resources, and also is important to the optimal allocation of agricultural water resources. This paper dealt with sensitivity of E0 over China, which was divided into ten drainage systems, including Songhua River basin, Liaohe River basin, Haihe River basin, Yellow River basin, Yangtze River basin, Pearl River basin, Huaihe River drainage system, Southeast river drainage system, Northwest river drainage system and Southwest river drainage system. In addition, the calculation method of global radiation in Penman-Monteith formula was improved by optimization, and the sensitivities of Penman-Monteith potential evapotranspiration to the daily maximum temperature （STmax）, daily minimum temperature （STmin）, wind speed （SU2）, global radiation （SRs） and vapor pressure （SVP） were calculated and analyzed based on the long-term meteorological data from 653 meteorological stations in China during the period 1960–2007. Results show that： （1） the correlation coefficient between E0 and pan evaporation increased from 0.61 to 0.75. E0 had the decline trends in eight of ten drainage systems in China, which indicates that ＂pan evaporation paradox＂ commonly exists in China from 1960 to 2007. （2） Spatially, Tmax was the most sensitive factor in Haihe River basin, Yellow River basin, Huaihe River drainage system, Yangtze River basin, Pearl River basin and Southeast river drainage system, and VP was the most sensitive factor in Songhua River Basin, Liaohe River basin, Northwest river drainage system while Rs was the most sensitive factor in Southwest river drainage system. For the nation-wide average, the most sensitive factor was VP, followed by Tmax, Rs, U2 and Tmin. In addition, the changes in sensitivity coefficients had a certain correlation with elevation. （3） Temporally, the maximum values of STmax and SRs occurred in July, while the maximum values of STmin, SVP and SU2 occurred in January. Moreover, trend analysis indicates that STmax had decline trends, while STmin, SU2, SRs and SVP had increasing trends.展开更多
China has the largest apple planting area and total yield in the world, and the Fuji apple is the major cultivar, accounting for more than 70％ of apple planting acreage in China. Apple qualities are affected by meteo...China has the largest apple planting area and total yield in the world, and the Fuji apple is the major cultivar, accounting for more than 70％ of apple planting acreage in China. Apple qualities are affected by meteorological conditions, soil types, nutrient content of soil, and management practices. Meteorological factors, such as light, temperature and moisture are key environmental conditions affecting apple quality that are difficult to regulate and control. This study was performed to determine the effect of meteorological factors on the qualities of Fuji apple and to provide evidence for a reasonable regional layout and planting of Fuji apple in China. Fruit samples of Fuji apple and meteorological data were investigated from 153 commercial Fuji apple orchards located in 51 counties of 11 regions in China from 2010 to 2011. Partial least-squares regression and linear programming were used to analyze the effect model and impact weight of meteorological factors on fruit quality, to determine the major meteorological factors influencing fruit quality attributes, and to establish a regression equation to optimize meteorological factors for high-quality Fuji apples. Results showed relationships between fruit quality attributes and meteorological factors among the various apple producing counties in China. The mean, minimum, and maximum temperatures from April to October had the highest positive effects on fruit qualities in model effect loadings and weights, followed by the mean annual temperature and the sunshine percentage, the temperature difference between day and night, and the total precipitation for the same period. In contrast, annual total precipitation and relative humidity from April to October had negative effects on fruit quality. The meteorological factors exhibited distinct effects on the different fruit quality attributes. Soluble solid content was affected from the high to the low row preface by annual total precipitation, the minimum temperature from April to October, the mean temperature from April to October, the temperature difference between day and night, and the mean annual temperature. The regression equation showed that the optimum meteorological factors on fruit quality were the mean annual temperature of 5.5-18°C and the annual total precipitation of 602-1121 mm for the whole year, and the mean temperature of 13.3-19.6°C, the minimum temperature of 7.8-18.5°C, the maximum temperature of 19.5°C, the temperature difference of 13.7°C between day and night, the total precipitation of 227 mm, the relative humidity of 57.5-84.0％, and the sunshine percentage of 36.5-70.0％ during the growing period （from April to October）.展开更多
Objective To explore the associations between the monthly number of dengue fever（DF） cases and possible risk factors in Guangzhou, a subtropical city of China. Methods The monthly number of DF cases, Breteau Index ...Objective To explore the associations between the monthly number of dengue fever（DF） cases and possible risk factors in Guangzhou, a subtropical city of China. Methods The monthly number of DF cases, Breteau Index （BI）, and meteorological measures during 2006-2014 recorded in Guangzhou, China, were assessed. A negative binomial regression model was used to evaluate the relationships between BI, meteorological factors, and the monthly number of DF cases. Results A total of 39,697 DF cases were detected in Guangzhou during the study period. DF incidence presented an obvious seasonal pattern, with most cases occurring from June to November. The current month＇s BI, average temperature （Tare）, previous month＇s minimum temperature （Train）, and Tare were positively associated with DF incidence. A threshold of 18.25℃ was found in the relationship between the current month＇s Tmin and DF incidence. Conclusion Mosquito density, Tove, and Tmin play a critical role in DF transmission in Guangzhou. These findings could be useful in the development of a DF early warning system and assist in effective control and prevention strategies in the DF epidemic.展开更多
On the basis of daily meteorological data from 15 meteorological stations in the Heihe River Basin （HRB） during the period from 1959 to 2012, long-term trends of reference evapotranspiration （ET0） and key meteorol...On the basis of daily meteorological data from 15 meteorological stations in the Heihe River Basin （HRB） during the period from 1959 to 2012, long-term trends of reference evapotranspiration （ET0） and key meteorological factors that affect ET0 were analyzed using the Mann- Kendall test. The evaporation paradox was also investigated at 15 meteorological stations. In order to explore the contribution of key meteo- rological factors to the temporal variation of ET0, a sensitivity coefficient method was employed in this study. The results show that： （1） mean annual air temperature significantly increased at all 15 meteorological stations, while the mean annual ET0 decreased at most of sites; （2） the evaporation paradox did exist in the HRB, while the evaporation paradox was not continuous in space and time; and （3） relative humidity was the most sensitive meteorological factor with regard to the temporal variation of ET0 in the HRB, followed by wind speed, air temperature, and solar radiation. Air temperature and solar radiation contributed most to the temporal variation of ETo in the upper reaches; solar radiation and wind speed were the determining factors for the temporal variation of ET0 in the middle-lower reaches.展开更多
Cotton growth and development are determined and influenced by cultivars, meteorological conditions, and management practices. The objective of this study was to quantify the optimum of temperature-light meteorologica...Cotton growth and development are determined and influenced by cultivars, meteorological conditions, and management practices. The objective of this study was to quantify the optimum of temperature-light meteorological factors for seedcotton biomass per boll with respect to boll positions. Field experiments were conducted using two cultivars of Kemian 1 and Sumian 15 with three planting dates of 25 April （mean daily temperature （MDT） was 28.0 and 25.4°C in 2010 and 2011, respectively）, 25 May （MDT was 22.5 and 21.2°C in 2010 and 2011, respectively）, and 10 Jun （MDT was 18.7 and 17.9°C in 2010 and 2011, respectively）, and under three shading levels （crop relative light rates （CRLR） were 100, 80, and 60％） during 2010 and 2011 cotton boll development period （from anthesis to boll open stages）. The main meteorological factors （temperature and light） affected seedcotton biomass per boll differently among different boll positions and cultivars. Mean daily radiation （MDR） affected seedcotton biomass per boll at all boll positions, except fruiting branch 2 （FB2） fruting node 1 （FN1）. However, its influence was less than temperature factors, especially growing degree-days （GDD）. Optimum mean daily maximum temperature （MDTmax） for seedcotton biomass per boll at FB11FN3 was 29.9-32.4°C, and the optimum MDR at aforementioned position was 15.8-17.5 MJ m-2. Definitely, these results can contribute to future cultural practices such as rational cultivars choice and distribution, simplifying field managements and mechanization to acquire more efficient and economical cotton management.展开更多
AIM： To discuss the relationship between onset of peptic ulcer （PU） and meteorological factors （MFs）. METHODS： A total of 24 252 patients were found with active PU in 104 121 samples of gastroscoic examination f...AIM： To discuss the relationship between onset of peptic ulcer （PU） and meteorological factors （MFs）. METHODS： A total of 24 252 patients were found with active PU in 104 121 samples of gastroscoic examination from 17 hospitals in Nanning from 1992 to 1997. The detectable rate of PU （DRPU） was calculated every month, every ten days and every five days. An analysis of DRPU and MFs was made in the same period of the year. A forecast model based on MFs of the previous month was established. The real and forecast values were tested and verified. RESULTS： During the 6 years, the DRPU from November to April was 24.4 -28.8%. The peak value （28.8%） was in January. The DRPU from May to October was 20.0 -22.6%, with its low peak （20.0%） in June. The DRPU decreased from winter and spring to summer and autumn （P 〈 0.005）. The correlated coefficient between DRPU and average temperature value was -0.8704, -0.6624, -0.5384 for one month, ten days, five days respectively （P 〈 0.01）. The correlated coefficient between DRPU and average highest temperature value was -0.8000, -0.6470,-0.5167 respectively （P 〈0.01）. The correlated coefficient between DRPU and average lowest temperature value was -0.8091, -0.6617, -0.5384 respectively （P 〈0.01）. The correlated coefficient between DRPU and average dew point temperature was -0.7812, -0.6246, -0.4936 respectively （P 〈0.01）. The correlated coefficient between DRPU and average air pressure value was 0.7320, 0.5777, 0.4579 respectively （P 〈0.01）. The average temperature, average highest and lowest temperature, average air pressure and average dew point temperature value of the previous month, ten days and five days could forecast the onset of PU, with its real and forecast values corresponding to 71.8%, 67.9% and 66.6% respectively. CONCLUSION： DRPU is closely related with the average temperature, average highest and lowest temperature, average air pressure and average dew point temperature of each month, every ten days and every five days for the same period. When MFs are changed, the human body produces a series of stress actions. A long-term and median-term based medical meteorological forecast of the onset of PU can be made more accurately according to this.展开更多
The changes of meteorological factors such as average temperature, pre- cipitation and sunshine duration in the whole growth period and at various growth stages of spring peanut in Dengzhou City during 2001-2016 were ...The changes of meteorological factors such as average temperature, pre- cipitation and sunshine duration in the whole growth period and at various growth stages of spring peanut in Dengzhou City during 2001-2016 were analyzed, and their effects on the growth and development of spring peanut were discussed. The results show that from 2001 to 2016, average temperature tended to increase in the growth period of spring peanut in Dengzhou City, but the increasing trend was slow; precipitation showed a decreasing trend on the whole （it increased at the sowing and flowering stage）; sunshine duration reduced year by year （the decreasing trend was different at various growth stages）, but the decrease of sunshine duration was more obvious than that of precipitation. Based on the analysis of meteorological conditions and the growth rules of spring peanut, it is needed to scientifically choose varieties of spring peanut, plan suitable sowing patterns, apply and manage- fertilizer and water to reasonably realize sustainable high-yield of spring peanut based on its safe stable yield.展开更多
The sown area of winter wheat in the Huang-Huai-Hai（HHH） Plain accounts for over 65% of the total sown area of winter wheat in China. Thus, it is important to monitor the winter wheat growth condition and reveal the...The sown area of winter wheat in the Huang-Huai-Hai（HHH） Plain accounts for over 65% of the total sown area of winter wheat in China. Thus, it is important to monitor the winter wheat growth condition and reveal the main factors that influence its dynamics. This study assessed the winter wheat growth condition based on remote sensing data, and investigated the correlations between different grades of winter wheat growth and major meteorological factors corresponding. First, winter wheat growth condition from sowing until maturity stage during 2011–2012 were assessed based on moderate-resolution imaging spectroradiometer（MODIS） normalized difference vegetation index（NDVI） time-series dataset. Next, correlation analysis and geographical information system（GIS） spatial analysis methods were used to analyze the lag correlations between different grades of winter wheat growth in each phenophase and the meteorological factors that corresponded to the phenophases. The results showed that the winter wheat growth conditions varied over time and space in the study area. Irrespective of the grades of winter wheat growth, the correlation coefficients between the winter wheat growth condition and the cumulative precipitation were higher than zero lag（synchronous precipitation） and one lag（pre-phenophase precipitation） based on the average values of seven phenophases. This showed that the cumulative precipitation during the entire growing season had a greater effect on winter wheat growth than the synchronous precipitation and the pre-phenophase precipitation. The effects of temperature on winter wheat growth varied according to different grades of winter wheat growth based on the average values of seven phenophases. Winter wheat with a better-than-average growth condition had a stronger correlation with synchronous temperature, winter wheat with a normal growth condition had a stronger correlation with the cumulative temperature, and winter wheat with a worse-than-average growth condition had a stronger correlation with the pre-phenophase temperature. This study may facilitate a better understanding of the quantitative correlations between different grades of crop growth and meteorological factors, and the adjustment of field management measures to ensure a high crop yield.展开更多
Atmospheric pollutants including SO_2, NO_2, CO, O_3 and inhalable particulate matter（PM2.5 and PM10） were monitored continuously from March 2014 to February 2015 to investigate characteristics of air pollution at L...Atmospheric pollutants including SO_2, NO_2, CO, O_3 and inhalable particulate matter（PM2.5 and PM10） were monitored continuously from March 2014 to February 2015 to investigate characteristics of air pollution at Lhasa, Tibetan Plateau. Species exhibited similar seasonal variations except O_3, with the peaks in winter but low valleys in summer. The maximum O_3 concentration was observed in spring, followed by summer, autumn, and winter. The positive correlation between O_3 and PM10 in spring indicated similar sources of them, and was assumed to be turbulent transport. Temperature was the dominant meteorological factor for most species in spring. High temperature accelerates O_3 photochemistry, and favors air disturbance which is conductive to dust resuspension in spring. Relative humidity（RH） and atmospheric pressure were the main meteorological factors in summer. RH showed negative correlations with species, while atmospheric pressure posed opposite situation. Wind speed（WS） was the dominant meteorological factor in autumn, the negative correlations between WS and species indicated diffusion by wind. Most species showed non-significant correlations with meteorological factors in winter, indicating the dependence of pollution on source emission rather than restriction by meteorology. Pollution weather character indicated that emissions were from biomass burning and dust suspension, and meteorological factors also played an important role. Air stream injection from the stratosphere was observed during O_3 pollution period. Air parcels from Southwest Asia were observed during air pollution period in winter. An enhancement in air pollutants such as O_3 would be expected in the future, more attention should be given to countermeasures for prevention of air pollution in the future.展开更多
Firstly,the daily variations of NO2 concentration in the urban area of Wanzhou in 2012 were analyzed,and then the relationship between NO2 concentration and meteorological factors（ precipitation,atmospheric pressure,...Firstly,the daily variations of NO2 concentration in the urban area of Wanzhou in 2012 were analyzed,and then the relationship between NO2 concentration and meteorological factors（ precipitation,atmospheric pressure,wind speed,temperature,relative humidity and sunshine hours） was discussed. Finally,the multiple linear regression equation was established to predict NO2 concentration. The results showed that NO2 concentration in the urban area of Wanzhou did not exceed 80 μg /m3in most days from January 1 to December 31 in 2012. Among the six meteorological factors,NO2 concentration correlated significantly with three meteorological factors,that is,NO2 concentration correlated negatively with atmospheric pressure and wind speed but positively with relative humidity. NO2 concentration in the urban area of Wanzhou could be predicted using the multiple linear regression model. According to the rose diagram of wind directions,the wind blowing from the NNW was dominant in the urban area of Wanzhou.展开更多
BACKGROUND Gastroesophageal reflux disease(GERD)is a highly prevalent disease of the upper gastrointestinal tract,and it is associated with environmental and lifestyle habits.Due to an increasing interest in the envir...BACKGROUND Gastroesophageal reflux disease(GERD)is a highly prevalent disease of the upper gastrointestinal tract,and it is associated with environmental and lifestyle habits.Due to an increasing interest in the environment,several groups are studying the effects of meteorological factors and air pollutants(MFAPs)on disease development.AIM To identify MFAPs effect on GERD-related medical utilization.METHODS Data on GERD-related medical utilization from 2002 to 2017 were obtained from the National Health Insurance Service of Korea,while those on MFAPs were obtained from eight metropolitan areas and merged.In total,20071900 instances of GERD-related medical utilizations were identified,and 200000 MFAPs were randomly selected from the eight metropolitan areas.Data were analyzed using a multivariable generalized additive Poisson regression model to control for time trends,seasonality,and day of the week.RESULTS Five MFAPs were selected for the prediction model.GERD-related medical utilization increased with the levels of particulate matter with a diameter≤2.5μm(PM2.5)and carbon monoxide(CO).S-shaped and inverted U-shaped changes were observed in average temperature and air pollutants,respectively.The time lag of each variable was significant around nine days after exposure.CONCLUSION Using five MFAPs,the final model significantly predicted GERD-related medical utilization.In particular,PM2.5 and CO were identified as risk or aggravating factors for GERD.展开更多
基金supported by Chinese Association of Preventive Medicine-Vaccine and Immunization Youth Talent Support Project(CPMAQT-YM0314)Shandong medical and health science and technology development plan project(202012050267)Shandong Center for Disease Control and Prevention-Youth Innovation Fund Project(QC-202301).
文摘Background:This study investigated the relationship between meteorological factors and daily outpatient visits to rabies post-exposure prophylaxis clinics to inform animal injury prevention strategies.Methods:Daily outpatient visit data from rabies post-exposure prophylaxis clinics in Jinan and corresponding meteorological data were collected from January 1,2020,to December 31,2022.A generalized additive model was used to quantitatively assess the relationship between these factors.A total of 202,010 patients visited these clinics during this period.Results:Daily mean,maximum,and minimum temperatures,and relative humidity were positively associated with outpatient visits.A 1°C increase in mean,maximum,and minimum temperatures corresponded to increases in daily visits of 1.65%(95%Confidence Interval(CI):1.55–1.76),1.59%(95%CI:1.50–1.69),and 1.27%(95%CI:1.17–1.36)respectively.Each 1%increase in relative humidity was associated with a 0.18%(95%CI:0.15–0.20)increase in visits.Mean pressure was negatively associated with outpatient visits,the outpatient visits decreased by 0.91%(95%CI:−1.71 to−0.11)for every 1 kPa increased in mean pressure.Conclusion:The change of meteorological factors will lead to the increase of outpatient visits in rabies exposure treatment clinic.
基金supported by the National Key Research and Development Program of China[2023YFC2307305]Shenzhen Medical Research Fund[B2303003]+3 种基金the Zhujiang Innovation and Entrepreneurship Talents Program[2021ZT09Y544]the Shenzhen Science and Technology Program[ZDSYS20230626091203007]Shanghai CDC(Shanghai three-year(2023–2025)action plan to strengthen the public health system[GWVI–11.1–05])Top Young Talents in Shanghai。
文摘Objective To assess the independent and combined effects of air pollutants,meteorological factors,and greenspace exposure on new tuberculosis(TB)cases.Methods TB case data from Shanghai(2013–2018)were obtained from the Shanghai Center for Disease Control and Prevention.Environmental data on air pollutants,meteorological variables,and greenspace exposure were obtained from the National Tibetan Plateau Data Center.We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases.Results Increased TB risk was linked to PM_(2.5),PM_(10),and rainfall,whereas NO_(2),SO_(2),and air pressure were associated with a reduced risk.Specifically,the strongest cumulative effects occurred at various lags:PM_(2.5)(RR=1.166,95%CI:1.026–1.325)at 0–19 weeks;PM_(10)(RR=1.167,95%CI:1.028–1.324)at 0–18 weeks;NO_(2)(RR=0.968,95%CI:0.938–0.999)at 0–1 weeks;SO_(2)(RR=0.945,95%CI:0.894–0.999)at 0–2 weeks;air pressure(RR=0.604,95%CI:0.447–0.816)at 0–8 weeks;and rainfall(RR=1.404,95%CI:1.076–1.833)at 0–22 weeks.Green space exposure did not significantly impact TB cases.Additionally,low temperatures amplified the effect of PM_(2.5)on TB.Conclusion Exposure to PM_(2.5),PM_(10),and rainfall increased the risk of TB,highlighting the need to address air pollutants for the prevention of TB in Shanghai.
文摘Tuberculosis(TB)remained the first leading cause of death from a single infectious agent worldwide in 2023,resulting in nearly twice as many deaths as those caused by the human immunodeficiency virus/acquired immune deficiency syndrome.An estimated 10.8 million TB cases were reported globally in 2023,with approximately 1.25 million associated deaths.In China,which ranks third in the global TB burden,there were approximately 741,000 new cases and 25,000 deaths in 2023^([1]).TB poses a significant threat to human health worldwide.
基金the Science and Technology Research Project of Shandong Meteorological Bureau(2022SDQN11)Science and Technology Research Project of Yantai Meteorological Bureau(2024ytcx07).
文摘Based on the monitoring data of PM 10 concentration from six environmental monitoring stations and the ground meteorological observation data in Yantai City from 2019 to 2021,the spatial and temporal variation of PM 10 concentration and its relationship with meteorological factors were studied.The results show that from the perspective of temporal variation,the annual average of PM 10 concentration in Yantai City tended to decrease year by year.It was high in winter and spring and low in summer and autumn.In terms of monthly variation,the changing curve is U-shaped,and it was high in December and January but low in July and August.During a day,PM 10 concentration had two peaks.The first peak appeared approximately from 09:00 to 11:00,and the second peak can be found from 21:00 to 23:00.From the perspective of spatial distribution,PM 10 concentration was the highest in the development area and Fushan District.It was the highest in the west,followed by the east,while it was the lowest in the middle.The spatial difference rate was the highest in summer.Average temperature,relative humidity,wind speed and precipitation were the main meteorological factors influencing PM 10 concentration in Yantai area.PM 10 concentration was negatively correlated with average temperature and relative humidity,and the correlation was the most significant from June to October.It was negatively correlated with wind speed and precipitation,and the correlation was different in various months.The negative correlation was significant in summer and winter.
基金supported by National Natural Science Foundation of China(32160648)Science and Technology Project of China Tobacco Company[110202202016]+1 种基金Science and Technology Project of Guizhou Tobacco Company 2022XM17Science and Technology Program of Science and Technology Department of Guizhou Province(QKHJC-ZK[2022]YB288).
文摘To clarify the relationships between the main chemical components in flue-cured tobacco in Guizhou and field meteorological factors during the tobacco growing period,the contributions of meteorological factors to the chemical composition of flue-cured tobacco and related componentswere explored in this study.Theflue-cured tobacco variety Y87 was used as the experimental material,and tobacco samples and meteorological data were collected from seven typical tobacco-growing areas in Guizhou Province.Using a random forest model and canonical correlation analysis,the impact and contribution of the monthly mean temperature,precipitation,and sunshine duration during the field growing period to the chemical indicators of tobacco leaves were investigated.During the growing period of flue-cured tobacco in Guizhou,meteorological factors showed considerable variation,with the magnitude of change decreasing in the order of precipitation,sunshine duration,and mean temperature.Precipitation in April,mean temperature in June and August,and sunshine duration in April and May had the most significant impacts on the main chemical components of tobacco leaves,particularly nicotine,total sugar,and starch,with coefficients of variation reaching 14.93%,14.59%,and 24.27%,respectively.The precipitation in May and June,mean temperature in August,and sunshine duration in June played key roles in influencing the nitrogen-nicotine ratio and total-reducing sugar ratio.Moreover,the mean temperature in May,precipitation in July,and mean temperature in July substantially contributed to the nicotine and total nitrogen contents,with contribution rates of 19.17%,12.19%,and 17.36%,respectively,to the nicotine content.Sunshine duration in May,mean temperature in August,and sunshine duration in July significantly contributed to starch content,with rates of 17.45%,15.34%,and 13.27%.During the root extension stage,vigorous growth stage,and maturation stage,meteorological factors primarily affected the accumulation of nitrogenous compounds such as nicotine and total nitrogen.Themean temperatures in May and July contributed 19.17% and 17.36% respectively to nicotine accumulation;whereas during the maturation stage and harvest stage,these factors mainly impacted the accumulation of carbohydrates such as starch and total sugars,The mean temperature in August and sunshine duration in July contributed 15.34% and 13.27% respectively to starch accumulation.Therefore,ensuring tobacco seedling transplantation is completed before May and appropriately extending the maturation period can promote the accumulation of carbon-nitrogen compounds in tobacco leaves and improve leaf quality.
文摘In this study, the relationship between major meteorological factors and tobacco chemical components in different altitudes of Yongde County, Lincang Region of Yunnan Province was studied using correlation analysis and path analysis methods.The results showed that there was a difference on meteorological factors in different altitudes, causing different impacts on chemical components of flue-cured tobacco; contents of nicotine and total nitrogen decreased with the rising of altitude, conversely, total sugar and reducing sugar contents increased with the rising trend of altitude, and the differences on the contents of potassium （K） and chlorine（CI）, and the ratio of K to CI in different altitudes were not significant, at the altitude of 1 250-1 450 m, each chemical component indicator was better. The correlation between main meteorological factors and conventional chemical components of tobacco leaves was as follows： contents of reducing sugar and total sugar increased with the increase of rainfall and relative humidity, and decreased with the increase of sunshine duration; nicotine content increased with the increase of accumulated temperature and sunshine duration; total nitrogen （N） content increased with the increase of daily mean temperature and accumulated temperature; sugar-alkali ratio increased with the increase of rainfall. Path analysis showed that the direct effect of sunshine duration on reducing sugar and total sugar of tobacco leaves was faint, but the indirect effect was obvious; meanwhile, the direct and indirect effects of it on nicotine and total N were the greatest.
基金Supported by the Scientific Research Foundation of Nanjing Universityof Information Science and Technology(80124)~~
文摘[Objective]The experiment aimed to study the effects of meteorological factors under different weather conditions on soil respiration. [ Method] The path analysis was used to analyze meteorological factors which influenced soil respiration of wheat field under different weather condition and at jointing stage. [ Result] In sunny day, the correlations between ground temperature at 5 cm, solar radiation, air relative humidity, air temperature and soil respiration were all at significant level while solar radiation and ground temperature at 5 cm were the major factors which influenced soil respiration. In cloudy day, solar radiation was a major factor which influenced soil respiration.[ Conclusion] The soil respiration and surplus path coefficient in sunny day were all higher than these in cloudy day, which demonstrated that except influenced by ground temperature, air temperature, solar radiation and air relative humidity, the soil respiration was also influenced by other factors especially biological factor.
文摘To explore main meteorological factors influencing wheat production in Dengzhou City, changes of meteorological factors and their effects on the growth and development of wheat in Dengzhou City from 2001 to 2015 were analyzed, and countermeasures to increase wheat yield were put forward. The results show that constant decrease of of sunshine duration have limited the increase of wheat yield, and it is necessary to improve photosynthetic efficiency to increase wheat yield.
基金Supported by National Natural Science Foundation of China(31360346)Yunnan Modern Agricultural Rapeseed-industry Technology System~~
文摘[Objective] The aim was to research relationship of meteorological factors with rapeseed yield and yield components. [Method] A field test was carried out, with meteorological information collected from local Meteorological Administration. The data were then through statistical work and regression analysis was made on correlation of meteorological factors with yield and yield components supported by DPS. [Result] The number of pod per plant is closely related to meteorological fac- tors in seedling stage. Specifically, the number is of positive correlation with precipi- tation in seedling stage and of negative correlation with average temperature and sunshine hour. The number of grain per pod is of positive correlation with precipita- tion in seedling stage and negative correlation with temperature in seedling stage and sunshine hour in anthesis. Thousand-seed weight is of positive correlation with sunshine hour in seedling stage and negative correlation with precipitation in seedling stage. [Conclusion] Moisture of soils should be guaranteed by surface cov- erage in order to promote seedling growth, maintain ventilation in fields and reduce effects of rainfall on rapeseed flowering.
基金National Natural Science Foundation of China,No.40971023 National Basic Research Program of China,No.2010CB428406
文摘Potential evapotranspiration （E0）, as an estimate of the evaporative demand of the atmosphere, has been widely studied in the fields of irrigation management, crop water demand and predictions in ungauged basins （PUBs）. Analysis of the sensitivity of E0 to meteorological factors is a basic research on the impact of climate change on water resources, and also is important to the optimal allocation of agricultural water resources. This paper dealt with sensitivity of E0 over China, which was divided into ten drainage systems, including Songhua River basin, Liaohe River basin, Haihe River basin, Yellow River basin, Yangtze River basin, Pearl River basin, Huaihe River drainage system, Southeast river drainage system, Northwest river drainage system and Southwest river drainage system. In addition, the calculation method of global radiation in Penman-Monteith formula was improved by optimization, and the sensitivities of Penman-Monteith potential evapotranspiration to the daily maximum temperature （STmax）, daily minimum temperature （STmin）, wind speed （SU2）, global radiation （SRs） and vapor pressure （SVP） were calculated and analyzed based on the long-term meteorological data from 653 meteorological stations in China during the period 1960–2007. Results show that： （1） the correlation coefficient between E0 and pan evaporation increased from 0.61 to 0.75. E0 had the decline trends in eight of ten drainage systems in China, which indicates that ＂pan evaporation paradox＂ commonly exists in China from 1960 to 2007. （2） Spatially, Tmax was the most sensitive factor in Haihe River basin, Yellow River basin, Huaihe River drainage system, Yangtze River basin, Pearl River basin and Southeast river drainage system, and VP was the most sensitive factor in Songhua River Basin, Liaohe River basin, Northwest river drainage system while Rs was the most sensitive factor in Southwest river drainage system. For the nation-wide average, the most sensitive factor was VP, followed by Tmax, Rs, U2 and Tmin. In addition, the changes in sensitivity coefficients had a certain correlation with elevation. （3） Temporally, the maximum values of STmax and SRs occurred in July, while the maximum values of STmin, SVP and SU2 occurred in January. Moreover, trend analysis indicates that STmax had decline trends, while STmin, SU2, SRs and SVP had increasing trends.
基金supported by the Forest Scientific Research in the Public Interest,China(201404720)the earmarked fund for the China Agriculture Research System(CARS-27)the Beijing Municipal Education Commission,China(CEFF-PXM2017_014207_000043)
文摘China has the largest apple planting area and total yield in the world, and the Fuji apple is the major cultivar, accounting for more than 70％ of apple planting acreage in China. Apple qualities are affected by meteorological conditions, soil types, nutrient content of soil, and management practices. Meteorological factors, such as light, temperature and moisture are key environmental conditions affecting apple quality that are difficult to regulate and control. This study was performed to determine the effect of meteorological factors on the qualities of Fuji apple and to provide evidence for a reasonable regional layout and planting of Fuji apple in China. Fruit samples of Fuji apple and meteorological data were investigated from 153 commercial Fuji apple orchards located in 51 counties of 11 regions in China from 2010 to 2011. Partial least-squares regression and linear programming were used to analyze the effect model and impact weight of meteorological factors on fruit quality, to determine the major meteorological factors influencing fruit quality attributes, and to establish a regression equation to optimize meteorological factors for high-quality Fuji apples. Results showed relationships between fruit quality attributes and meteorological factors among the various apple producing counties in China. The mean, minimum, and maximum temperatures from April to October had the highest positive effects on fruit qualities in model effect loadings and weights, followed by the mean annual temperature and the sunshine percentage, the temperature difference between day and night, and the total precipitation for the same period. In contrast, annual total precipitation and relative humidity from April to October had negative effects on fruit quality. The meteorological factors exhibited distinct effects on the different fruit quality attributes. Soluble solid content was affected from the high to the low row preface by annual total precipitation, the minimum temperature from April to October, the mean temperature from April to October, the temperature difference between day and night, and the mean annual temperature. The regression equation showed that the optimum meteorological factors on fruit quality were the mean annual temperature of 5.5-18°C and the annual total precipitation of 602-1121 mm for the whole year, and the mean temperature of 13.3-19.6°C, the minimum temperature of 7.8-18.5°C, the maximum temperature of 19.5°C, the temperature difference of 13.7°C between day and night, the total precipitation of 227 mm, the relative humidity of 57.5-84.0％, and the sunshine percentage of 36.5-70.0％ during the growing period （from April to October）.
基金supported by grants from the National Institutes of Health,USA(R01 AI083202,D43 TW009527)National Nature Science Foundation of China(81273139)+1 种基金the Project for Key Medicine Discipline Construction of Guangzhou Municipality(2013-2015-07)Technology Planning Project of Guangdong Province,China(2013B021800041)
文摘Objective To explore the associations between the monthly number of dengue fever（DF） cases and possible risk factors in Guangzhou, a subtropical city of China. Methods The monthly number of DF cases, Breteau Index （BI）, and meteorological measures during 2006-2014 recorded in Guangzhou, China, were assessed. A negative binomial regression model was used to evaluate the relationships between BI, meteorological factors, and the monthly number of DF cases. Results A total of 39,697 DF cases were detected in Guangzhou during the study period. DF incidence presented an obvious seasonal pattern, with most cases occurring from June to November. The current month＇s BI, average temperature （Tare）, previous month＇s minimum temperature （Train）, and Tare were positively associated with DF incidence. A threshold of 18.25℃ was found in the relationship between the current month＇s Tmin and DF incidence. Conclusion Mosquito density, Tove, and Tmin play a critical role in DF transmission in Guangzhou. These findings could be useful in the development of a DF early warning system and assist in effective control and prevention strategies in the DF epidemic.
基金supported by the National Natural Science Foundation of China(Grant No.91125015)the Central Nonprofit Research Institutes Fundamental Research of the Yellow River Institute of Hydraulic Research(Grant No.HYK-JBYW-2013-18)
文摘On the basis of daily meteorological data from 15 meteorological stations in the Heihe River Basin （HRB） during the period from 1959 to 2012, long-term trends of reference evapotranspiration （ET0） and key meteorological factors that affect ET0 were analyzed using the Mann- Kendall test. The evaporation paradox was also investigated at 15 meteorological stations. In order to explore the contribution of key meteo- rological factors to the temporal variation of ET0, a sensitivity coefficient method was employed in this study. The results show that： （1） mean annual air temperature significantly increased at all 15 meteorological stations, while the mean annual ET0 decreased at most of sites; （2） the evaporation paradox did exist in the HRB, while the evaporation paradox was not continuous in space and time; and （3） relative humidity was the most sensitive meteorological factor with regard to the temporal variation of ET0 in the HRB, followed by wind speed, air temperature, and solar radiation. Air temperature and solar radiation contributed most to the temporal variation of ETo in the upper reaches; solar radiation and wind speed were the determining factors for the temporal variation of ET0 in the middle-lower reaches.
基金supported by the National Natural Science Foundation of China (31471444,31401327)the Special Fund for Agro-scientific Research in the Public Interest of China (Impact of Climate Change on Agriculture Production,201203096)the Jiangsu Overseas Research and Training Program for University Prominent Young and Middle-aged Teachers and President,China (2016)
文摘Cotton growth and development are determined and influenced by cultivars, meteorological conditions, and management practices. The objective of this study was to quantify the optimum of temperature-light meteorological factors for seedcotton biomass per boll with respect to boll positions. Field experiments were conducted using two cultivars of Kemian 1 and Sumian 15 with three planting dates of 25 April （mean daily temperature （MDT） was 28.0 and 25.4°C in 2010 and 2011, respectively）, 25 May （MDT was 22.5 and 21.2°C in 2010 and 2011, respectively）, and 10 Jun （MDT was 18.7 and 17.9°C in 2010 and 2011, respectively）, and under three shading levels （crop relative light rates （CRLR） were 100, 80, and 60％） during 2010 and 2011 cotton boll development period （from anthesis to boll open stages）. The main meteorological factors （temperature and light） affected seedcotton biomass per boll differently among different boll positions and cultivars. Mean daily radiation （MDR） affected seedcotton biomass per boll at all boll positions, except fruiting branch 2 （FB2） fruting node 1 （FN1）. However, its influence was less than temperature factors, especially growing degree-days （GDD）. Optimum mean daily maximum temperature （MDTmax） for seedcotton biomass per boll at FB11FN3 was 29.9-32.4°C, and the optimum MDR at aforementioned position was 15.8-17.5 MJ m-2. Definitely, these results can contribute to future cultural practices such as rational cultivars choice and distribution, simplifying field managements and mechanization to acquire more efficient and economical cotton management.
基金Supported by Guangxi Science and Technology Development Program, No. 9920025
文摘AIM： To discuss the relationship between onset of peptic ulcer （PU） and meteorological factors （MFs）. METHODS： A total of 24 252 patients were found with active PU in 104 121 samples of gastroscoic examination from 17 hospitals in Nanning from 1992 to 1997. The detectable rate of PU （DRPU） was calculated every month, every ten days and every five days. An analysis of DRPU and MFs was made in the same period of the year. A forecast model based on MFs of the previous month was established. The real and forecast values were tested and verified. RESULTS： During the 6 years, the DRPU from November to April was 24.4 -28.8%. The peak value （28.8%） was in January. The DRPU from May to October was 20.0 -22.6%, with its low peak （20.0%） in June. The DRPU decreased from winter and spring to summer and autumn （P 〈 0.005）. The correlated coefficient between DRPU and average temperature value was -0.8704, -0.6624, -0.5384 for one month, ten days, five days respectively （P 〈 0.01）. The correlated coefficient between DRPU and average highest temperature value was -0.8000, -0.6470,-0.5167 respectively （P 〈0.01）. The correlated coefficient between DRPU and average lowest temperature value was -0.8091, -0.6617, -0.5384 respectively （P 〈0.01）. The correlated coefficient between DRPU and average dew point temperature was -0.7812, -0.6246, -0.4936 respectively （P 〈0.01）. The correlated coefficient between DRPU and average air pressure value was 0.7320, 0.5777, 0.4579 respectively （P 〈0.01）. The average temperature, average highest and lowest temperature, average air pressure and average dew point temperature value of the previous month, ten days and five days could forecast the onset of PU, with its real and forecast values corresponding to 71.8%, 67.9% and 66.6% respectively. CONCLUSION： DRPU is closely related with the average temperature, average highest and lowest temperature, average air pressure and average dew point temperature of each month, every ten days and every five days for the same period. When MFs are changed, the human body produces a series of stress actions. A long-term and median-term based medical meteorological forecast of the onset of PU can be made more accurately according to this.
文摘The changes of meteorological factors such as average temperature, pre- cipitation and sunshine duration in the whole growth period and at various growth stages of spring peanut in Dengzhou City during 2001-2016 were analyzed, and their effects on the growth and development of spring peanut were discussed. The results show that from 2001 to 2016, average temperature tended to increase in the growth period of spring peanut in Dengzhou City, but the increasing trend was slow; precipitation showed a decreasing trend on the whole （it increased at the sowing and flowering stage）; sunshine duration reduced year by year （the decreasing trend was different at various growth stages）, but the decrease of sunshine duration was more obvious than that of precipitation. Based on the analysis of meteorological conditions and the growth rules of spring peanut, it is needed to scientifically choose varieties of spring peanut, plan suitable sowing patterns, apply and manage- fertilizer and water to reasonably realize sustainable high-yield of spring peanut based on its safe stable yield.
基金financially supported by the National Nonprofit Institute Research Grant of Chinese Academy of Agricultural Sciences(IARRP-2015-8)the European Union seventh framework"MODEXTREME"(modelling vegetation response to extreme events)programme(613817)
文摘The sown area of winter wheat in the Huang-Huai-Hai（HHH） Plain accounts for over 65% of the total sown area of winter wheat in China. Thus, it is important to monitor the winter wheat growth condition and reveal the main factors that influence its dynamics. This study assessed the winter wheat growth condition based on remote sensing data, and investigated the correlations between different grades of winter wheat growth and major meteorological factors corresponding. First, winter wheat growth condition from sowing until maturity stage during 2011–2012 were assessed based on moderate-resolution imaging spectroradiometer（MODIS） normalized difference vegetation index（NDVI） time-series dataset. Next, correlation analysis and geographical information system（GIS） spatial analysis methods were used to analyze the lag correlations between different grades of winter wheat growth in each phenophase and the meteorological factors that corresponded to the phenophases. The results showed that the winter wheat growth conditions varied over time and space in the study area. Irrespective of the grades of winter wheat growth, the correlation coefficients between the winter wheat growth condition and the cumulative precipitation were higher than zero lag（synchronous precipitation） and one lag（pre-phenophase precipitation） based on the average values of seven phenophases. This showed that the cumulative precipitation during the entire growing season had a greater effect on winter wheat growth than the synchronous precipitation and the pre-phenophase precipitation. The effects of temperature on winter wheat growth varied according to different grades of winter wheat growth based on the average values of seven phenophases. Winter wheat with a better-than-average growth condition had a stronger correlation with synchronous temperature, winter wheat with a normal growth condition had a stronger correlation with the cumulative temperature, and winter wheat with a worse-than-average growth condition had a stronger correlation with the pre-phenophase temperature. This study may facilitate a better understanding of the quantitative correlations between different grades of crop growth and meteorological factors, and the adjustment of field management measures to ensure a high crop yield.
基金supported by the National Natural Science Foundation of China(Nos.21577022,21190053,40975074)Ministry of Science and Technology of China(2016YFC0203700)
文摘Atmospheric pollutants including SO_2, NO_2, CO, O_3 and inhalable particulate matter（PM2.5 and PM10） were monitored continuously from March 2014 to February 2015 to investigate characteristics of air pollution at Lhasa, Tibetan Plateau. Species exhibited similar seasonal variations except O_3, with the peaks in winter but low valleys in summer. The maximum O_3 concentration was observed in spring, followed by summer, autumn, and winter. The positive correlation between O_3 and PM10 in spring indicated similar sources of them, and was assumed to be turbulent transport. Temperature was the dominant meteorological factor for most species in spring. High temperature accelerates O_3 photochemistry, and favors air disturbance which is conductive to dust resuspension in spring. Relative humidity（RH） and atmospheric pressure were the main meteorological factors in summer. RH showed negative correlations with species, while atmospheric pressure posed opposite situation. Wind speed（WS） was the dominant meteorological factor in autumn, the negative correlations between WS and species indicated diffusion by wind. Most species showed non-significant correlations with meteorological factors in winter, indicating the dependence of pollution on source emission rather than restriction by meteorology. Pollution weather character indicated that emissions were from biomass burning and dust suspension, and meteorological factors also played an important role. Air stream injection from the stratosphere was observed during O_3 pollution period. Air parcels from Southwest Asia were observed during air pollution period in winter. An enhancement in air pollutants such as O_3 would be expected in the future, more attention should be given to countermeasures for prevention of air pollution in the future.
基金Supported by the Municipal Key Laboratory Project of Colleges and Universities in Chongqing City,China(WEPKL2013MS-10)National Innovation Planning Project for University Students in 2013(201310643003)
文摘Firstly,the daily variations of NO2 concentration in the urban area of Wanzhou in 2012 were analyzed,and then the relationship between NO2 concentration and meteorological factors（ precipitation,atmospheric pressure,wind speed,temperature,relative humidity and sunshine hours） was discussed. Finally,the multiple linear regression equation was established to predict NO2 concentration. The results showed that NO2 concentration in the urban area of Wanzhou did not exceed 80 μg /m3in most days from January 1 to December 31 in 2012. Among the six meteorological factors,NO2 concentration correlated significantly with three meteorological factors,that is,NO2 concentration correlated negatively with atmospheric pressure and wind speed but positively with relative humidity. NO2 concentration in the urban area of Wanzhou could be predicted using the multiple linear regression model. According to the rose diagram of wind directions,the wind blowing from the NNW was dominant in the urban area of Wanzhou.
基金Gachon University Gil Medical Center,No.FRD2018-17 and No.FRD2019-11.
文摘BACKGROUND Gastroesophageal reflux disease(GERD)is a highly prevalent disease of the upper gastrointestinal tract,and it is associated with environmental and lifestyle habits.Due to an increasing interest in the environment,several groups are studying the effects of meteorological factors and air pollutants(MFAPs)on disease development.AIM To identify MFAPs effect on GERD-related medical utilization.METHODS Data on GERD-related medical utilization from 2002 to 2017 were obtained from the National Health Insurance Service of Korea,while those on MFAPs were obtained from eight metropolitan areas and merged.In total,20071900 instances of GERD-related medical utilizations were identified,and 200000 MFAPs were randomly selected from the eight metropolitan areas.Data were analyzed using a multivariable generalized additive Poisson regression model to control for time trends,seasonality,and day of the week.RESULTS Five MFAPs were selected for the prediction model.GERD-related medical utilization increased with the levels of particulate matter with a diameter≤2.5μm(PM2.5)and carbon monoxide(CO).S-shaped and inverted U-shaped changes were observed in average temperature and air pollutants,respectively.The time lag of each variable was significant around nine days after exposure.CONCLUSION Using five MFAPs,the final model significantly predicted GERD-related medical utilization.In particular,PM2.5 and CO were identified as risk or aggravating factors for GERD.
