Daily Temperature Range Research Articles

Response of Milling and Appearance Quality of Rice with Good Eating Quality to Temperature and Solar Radiation in Lower Reaches of Huai River

The effects of temperature and solar radiation on milling and appearance quality of rice (Oryza sativa L.) were evaluated to find the optimal temperature and solar radiation for optimizing milling and appearance quality of rice in the lower reaches of Huai River. Field experiments were conducted with two medium-maturing japonica soft rice varieties (SMR), two late-maturing japonica soft rice varieties (SLR) and two late-maturing japonica non-soft rice varieties (LR) as experimental materials. Seeds were sown on 10 May (T1), 17 May (T2), 24 May (T3), 31 May (T4), 7 June (T5), 14 June (T6), and 21 June (T7) in 2017 and 2018. Compared with solar radiation, temperature was the main environmental factor affecting the milling and appearance quality of rice in the lower reaches of Huai River. Under the condition of ensuring relatively high-yield, the milling quality of SMR and SLR can reach the second grade of China’s national standard of high quality paddy. The mean daily temperature (Tmean) range were 20.2–22.7 °C and 20.4–22.0 °C respectively. The temperature range for LR to obtain a relatively high-yield, good milling and appearance quality was 20.4–20.7 °C. The optimal sowing dates of SMR, SLR and LR were 15 May to 1 June, 15 May to 20 May and 15 May to 20 May, respectively.

Statistical Forecast of Daily Maximum Air Temperature in Arid Areas at Summertime

Based on historical observations of summers for the period from 2004 to 2018 with a focus on daily maximum and minimum air temperatures and wind speed recorded at 0600 GMT, a non-linear regression hypothesis is developed for forecasting daily maximum air temperature (Tmax) in arid areas such as Baghdad International airport station, which has a hot climate with no cloud cover or rain. Observations with dust storm events were excluded, thus this hypothesis could be used to predict daily Tmax on any day during summers characterized by fair weather. Using mean annual daily temperature range, daily minimum temperature, and the trend of maximum temperature with wind speed, Tmax was forecasted and then compared to those recorded by meteorological instruments. To improve the accuracy of the hypothesis, daily forecast errors, bias, and mean absolute error were analyzed to detect their characteristics through calculating relative frequencies of occurrence. At the end of this analysis, a value of (-0.45ºC) was added to the hypothesis as a bias term.

Spatial Heterogeneity in Dead Sea Surface Temperature Associated with Inhomogeneity in Evaporation

Spatial heterogeneity in Dead Sea surface temperature (SST) was pronounced throughout the daytime, based on METEOSAT geostationary satellite data (2005–2015). In summer, SST peaked at 13 LT (local time), when SST reached 38.1 °C, 34.1 °C, and 35.4 °C being averaged over the east, middle, and west parts of the lake, respectively. In winter, daytime SST heterogeneity was less pronounced than that in summer. As the characteristic feature of the diurnal cycle, the SST daily temperature range (the difference between daily maxima and minima) was equal to 7.2 °C, 2.5 °C, and 3.8 °C over the east, middle, and west parts of the Dead Sea, respectively, in summer, compared to 5.3 °C, 1.2 °C, and 2.3 °C in winter. In the presence of vertical water mixing, the maximum of SST should be observed several hours later than that of land surface temperature (LST) over surrounding land areas due to thermal inertia of bulk water. However, METEOSAT showed that, in summer, maxima of SST and LST were observed at the same time, 13 LT. This fact is evidence that there was no noticeable vertical water mixing. Our findings allowed us to consider that, in the absence of water mixing and under uniform solar radiation in the summer months, spatial heterogeneity in SST was associated with inhomogeneity in evaporation. Maximal evaporation (causing maximal surface water cooling) took place at the middle part of the Dead Sea, while minimum evaporation took place at the east side of the lake.

Woody buffer effects on water temperature: The role of spatial configuration and daily temperature fluctuations

AbstractWater temperature is a key driver for riverine biota and strongly depends on shading by woody riparian vegetation in summer. While the general effects of shading on daily maximum water temperature Tmax are well understood, knowledge gaps on the role of the spatial configuration still exist. In this study, the effect of riparian buffer length, width, and canopy cover (percentage of buffer area covered by woody vegetation) on Tmax was investigated during summer baseflow using data measured in seven small lowland streams in western Germany (wetted width 0.8–3.7 m). The effect of buffer length on Tmax differed between downstream cooling and heating: Tmax approached cooler equilibrium conditions after a distance of 0.4 km (~45 min travel‐time) downstream of a sharp increase in canopy cover. In contrast, Tmax continued to rise downstream of a sharp decrease in canopy cover along the whole 1.6 km stream length investigated. The effect of woody vegetation on Tmax depended on buffer width, with changes in canopy cover in a 10 m wide buffer being a better predictor for changes in Tmax compared to a 30 m buffer. The effect of woody vegetation on Tmax was linearly related to canopy cover but also depended on daily temperature range Trange, which itself was governed by cloudiness, upstream canopy cover, and season. The derived empirical relationship indicated that Tmax was reduced by −4.6°C and increased by +2.7°C downstream of a change from unshaded to fully shaded conditions and vice versa. This maximum effect was predicted for a 10 m wide buffer at sunny days in early summer, in streams with large diel fluctuations (large Trange). Therefore, even narrow woody riparian buffers may substantially reduce the increase in Tmax due to climate change, especially in small shallow headwater streams with low baseflow discharge and large daily temperature fluctuations.

Diagramas de apoio ao projeto baseados na ideia do conforto térmico adaptativo

Diagramas podem ser utilizados para análise de problemas complexos, facilitando decisões. Como exemplo, citam-se os diagramas bioclimáticos, utilizados para definir diretrizes para projetos de edificações. Contudo, por serem baseados em modelos de conforto térmico estáticos, os diagramas bioclimáticos não são compatíveis com a ideia do conforto térmico adaptativo. Esta pesquisa teve por objetivo apresentar diagramas de apoio ao processo de projeto de pequenas edificações de baixo consumo energético e adequados à ideia do conforto adaptativo. A partir de um modelo adaptativo de conforto e dos diagramas existentes, elaboraram-se dois diagramas e procedimentos para sua aplicação. Os diagramas foram aplicados às fases iniciais do processo de projeto de pequenas edificações no clima de Curitiba e os resultados foram comparados com os obtidos com o tradicional diagrama de Givoni. A comparação mostrou que as diferenças entre os modelos de conforto resultam em diretrizes diferentes. O método alternativo também permitiu analisar mais adequadamente a variável amplitude térmica diária e ordenar a aplicação das diretrizes projetuais.

Increases in Biogenic Volatile Organic Compound Concentrations Observed after Rains at Six Forest Sites in Non-Summer Periods

Since biogenic volatile organic compounds (BVOCs) are important precursors of ozone, the monitoring of the BVOC concentration distributions is needed. In general, forest BVOC concentrations increase in summer as well as in other seasons. This study aims to detect temporally sporadic increases in BVOC concentrations in the non-summer months and to analyze the occurring climatic conditions. Using a uniform sampling system and shared gas chromatography–mass spectrometry, the concentrations of isoprene and monoterpenes in six Japanese forests were observed approximately once a month for 3 years. Using the observed data, the relations between the BVOC concentration increases and meteorological factors were evaluated. Twenty instances of temporal increases in BVOC concentrations were observed. These mainly occurred in spring for isoprene and in autumn for monoterpenes. Most of the increases in the non-summer months were observed after a rainfall event, when the daily temperature range was large, suggesting that wind, rain, and a rapid diurnal temperature rise could be factors in the non-summer months. Thus, the network monitoring of BVOC concentrations might be effective for understanding the effects of factors other than temperature, and the mechanisms and frequency of the temporal increases, on the BVOC concentrations in various forests.

Influence of Canopy Cover on Surface Temperature

Trees affect the microclimate, which influences thermal comfort and ecosystem processes. This study investigated the influence of the canopy cover on daily maximum and minimum temperatures. The data are from a collaborative database, and each measurement consists of the minimum and maximum temperatures under the canopy and in an open adjacent area over a 24-hour period. Paired sample t-tests indicated that the canopy decreased the maximum and minimum daily temperatures and narrowed the daily temperature range. Multiple regression showed that the canopy cover percentage decreased the maximum daily temperatures, and this effect was greater in rural areas than in urbanized areas. Another multiple regression indicated that the canopy cover percentage and the distance to the edge of the canopy decreased the daily temperature range. An independent sample t-test also indicated that the effect of the canopy on the daily temperature range was higher in rural areas when analysed by parametric and non-parametric tests but not when measured by a robust test. Other independent sample t-tests indicated that the distance from a light source also decreased the canopy effect on the minimum daily temperature and the daily temperature range. The main plausible underlying processes include the canopy shade and wind insulation, litter insulation of the ground surface, heat pumps through evapotranspiration and lateral heat fluxes from light bulbs and other anthropogenic sources, especially in urbanized areas. These results provide a greater understanding of the effects of arborization in rural and urban ecosystems, as well as their respective benefits to human communities.

Comparing Measured Incoming Shortwave and Longwave Radiation on a Glacier Surface with Estimated Records from Satellite and Off-Glacier Observations: A Case Study for the Forni Glacier, Italy

The development of methods for quantifying meltwater from glaciated areas is very important for better management of water resources and because of the strong impact of current and expected climate change on the Alpine cryosphere. Radiative fluxes are the main melt-drivers, but they can generally not be derived from in situ measures because glaciers are usually located in remote areas where the number of meteorological stations is very low. For this reason, focusing, as a case study, on one of the few glaciers with a supraglacial automatic weather station (Forni Glacier), we investigated methods based on both satellite records and off-glacier surface observations to estimate incoming short- and long-wave radiation at the glacier surface (SWin and LWin). Specifically, for SWin, we considered CM SAF SARAH satellite gridded surface solar irradiance fields and data modeled by cloud transmissivity parametrized from both CM SAF COMET satellite cloud fractional cover fields and daily temperature range observed at the closest off-glacier station. We then used the latter two data sources to derive LWin too. Finally, we used the estimated SWin and LWin records to assess the errors obtained when introducing estimated rather than measured incoming radiation data to quantify glacier melting by means of an energy balance model. Our results suggest that estimated SWin and LWin records derived from satellite measures are in better agreement with in situ observations than estimated SWin and LWin records parametrized from observations performed at the closest off-glacier station. Moreover, we find that the former estimated records permit a significantly better quantification of glacier melting than the latter estimated ones.

Unique meteorological characteristics in the upper gastrointestinal bleeding by different etiologies in Beijing Area, China.

Unique meteorological characteristics in the upper gastrointestinal bleeding by different etiologies in Beijing Area, China.

Spatiotemporal variations of asthma admission rates and their relationship with environmental factors in Guangxi, China

ObjectiveThe study aimed to determine if and how environmental factors correlated with asthma admission rates in geographically different parts of Guangxi province in China.SettingGuangxi, China.ParticipantsThis study was done among 7804...

Organogel electrode enables highly transparent and stretchable triboelectric nanogenerators of high power density for robust and reliable energy harvesting

Rapid advancements in stretchable and multifunctional next-generation electronics have raised great demand in development of transparent, stretchable and reliable power sources. Here, an organogel electrode, consisted of Poly(4-acryloylmorpholine) frame and low polarity propylene carbonate swelling solvent, was prepared for constructing a new kind of organogel ionic electrode based triboelectric nanogenerator (TENG), called Og-TENG, which not only possessed high transparence (95%) and stretchability (~387%), but also exhibited excellent electric reliability and mechanical robustness (foldable and twistable) under daily working temperature range (−20°C- 45 °C). The electric performance of Og-TENG is extraordinary, reaching a high instantaneous power density of 4.03 W/m2. The rational design of organogel electrode endowed the Og-TENG with excellent anti-freezing and solvent retention properties. Moreover, the good compatibility between organogel and triboelectric elastomer improved the interface adhesion and further made Og-TENG as a high reliable device under mechanical deformations as compared to high polarity gels based TENGs. The Og-TENG was demonstrated in harvesting bio-mechanical energies and detecting human gestures. This work provides a new strategy to prepare transparent and stretchable TENGs of high power density for reliable and robust energy harvesting in daily working temperature range, exhibiting promising potentials in development of stretchable and multifunctional next-generation electronics.

Comparison of Ammonia Emission Estimation between Passive Sampler and Chamber System in Paddy Soil after Fertilizer Application

Ammonia (NH3) is an important precursor for particulate secondary aerosol formation. This study was conducted to evaluate the applicability of a passive sampler (PAS) for estimating the NH3 emission from chemical fertilizer application (85 kg-N·ha−1) at field scale and to compare the results with a chamber system for the calculation of NH3 emission flux at lab scale. The application of chemical fertilizer increased the ambient NH3 concentration from 7.11 to 16.87 μg·m−3. Also, the ambient NH3 concentration measured by the PAS was found to be highly influenced by not only the chemical fertilizer application but also the weather (temperature and rainfall). Wind rose diagram data can be useful for understanding the distribution of ambient NH3 concentration. In the case of a chamber with few environmental variables, NH3 was emitted very quickly in the early stages and gradually decreased, whereas it was delayed at intervals of about one week at the site. It was found that daily temperature range, atmospheric disturbance by wind and rainfall, changes in soil moisture, and the presence of a flooded water table were the main influencing factors. The PAS data and the chamber system data were observed to have significant differences in spatial-temporal scale. In order to reduce the gap, it seems to be necessary to further develop a chamber system, in order to improve the precision of field analysis and to strengthen the connection between experimental results.

The Association between the Frequency of Rhegmatogenous Retinal Detachment and Atmospheric Temperature

Rhegmatogenous retinal detachment (RRD) frequency was observed to be higher with an increase in the daily temperature range. This showed that a wide daily range of temperature, rather than the absolute value of the temperature, is associated with the occurrence of RRD. Purpose. To investigate the association between the frequency of rhegmatogenous retinal detachment (RRD) and the atmospheric temperature. Method. A retrospective review of consecutive eyes that had undergone primary RRD surgery from 1996 to 2016 at Chungbuk National University Hospital was conducted. Temperature data (highest, lowest, and mean daily temperatures and daily temperature range) in Chungbuk Province were obtained from the Korean Meteorological Administration database. We investigated the relationship between the daily temperature range and the frequency of RRD surgery. We also analyzed the association between various temperature data and the frequency of RRD surgery. Result. There were 1,394 RRD surgeries from 1996 to 2016. Among them, 974 eyes were included in this study. The monthly average number of RRD operations showed a bimodal peak (in April and October) throughout the year. With the same tendency as the frequency of RRD, the monthly average of the daily temperature range over 1 year also showed a bimodal peak in April and October. There was a significant positive correlation between the monthly average of the daily temperature range and the number of RRD surgeries (r = 0.297, P < 0.001). However, there were no associations between RRD frequency and the mean temperature, highest temperature, and lowest temperature. Conclusion. The higher the daily temperature range, the higher was the RRD frequency observed. We speculated that dynamic changes in temperature during the day may affect degrees in chorioretinal adhesion and liquefaction of the vitreous, which may eventually result in retinal detachment. Therefore, further experimental studies on the correlation between temperature changes and retinal detachment are needed.

The shape of days to come: Effects of climate change on low energy buildings

Upcoming climate change effects will vary with region, season and time of the day. Existing annual and daily temperature cycles will shift and be reshaped, leading to increased air temperatures earlier and later in the year. Buildings will be affected by these changes, especially the ones using passive design strategies, whose performance is highly weather dependent. This study analyses the shift and reshape of annual and daily temperature cycles, focusing on when, where, and how passive design strategies (natural ventilation (NV), night cooling, and solar shading) are affected, going beyond season or yearly effectiveness. High temporal resolution (sub-daily and monthly) modelled data for the time frames (1971–2000) and (2017–2100) have been used to analyze upcoming changes in temperature, their interaction with solar radiation, and the consequent impacts on passive building strategies efficiency in European Union 43 most populated cities.The results show that changes in the diurnal temperature cycle will affect the daily temperature range (DTR), leading to two daily temperature cycle shapes: daytime (DTR increase) and a nighttime (DTR decrease), with different impacts on the heating and cooling seasons. Further, mild and warm days will occur earlier and persist until later in the year, shifting NV and shading seasons. In Northern Europe, NV season will be 6 weeks longer, while in Southern Europe it will be 9 weeks shorter. In Southern Europe, shading season will increase 2.5 months, direct solar radiation in south façades will increase 35% consequence of −13.5° in average maximum solar altitude, making overhangs less effective.

Improved long-term thermal comfort indices for continuous monitoring

Thermal comfort standards have suggested a number of physical indices which can be calculated from either building simulations or in situ physical monitoring to assess the long-term thermal comfort of a space. However, the prohibitively high cost of sensor technologies has limited the applications of these physical indices, and their usefulness has never been established using data collected in real buildings. This paper is the first assessment of the six types of existing indices (23 total) found in standards and five types of new indices (36 total) and their correlation with the long-term thermal satisfaction of building occupants. Correlation analyses were based on continuous thermal comfort measurements and post-occupancy evaluation surveys from four air-conditioned office buildings in Sydney, Australia. We found that the majority of existing indices, especially those based on predicted mean vote (PMV) and predicted percentage dissatisfied (PPD) metrics, have a weak correlation with thermal satisfaction. The percentage of time outside a temperature range was the best-performing index from the standards (r=-0.63). A new index based on the percentage of time that daily temperature range is greater than a threshold reported the strongest correlation (r=-0.8) with thermal satisfaction for this dataset. The results suggest that occupants’ long-term thermal comfort is influenced more by pronounced excursions beyond some acceptable temperature range and large variations in daily temperature than the average experience over time. These findings support the use of continuous monitoring technologies for long-term thermal comfort evaluation and inform potential amendments of international thermal comfort standards.

Does social thermal regulation constrain individual thermal tolerance in an ant species?

In ants, social thermal regulation is the collective maintenance of a nest temperature that is optimal for individual colony members. In the thermophilic ant Aphaenogaster iberica, two key behaviours regulate nest temperature: seasonal nest relocation and variable nest depth. Outside the nest, foragers must adapt their activity to avoid temperatures that exceed their thermal limits. It has been suggested that social thermal regulation constrains physiological and morphological thermal adaptations at the individual level. We tested this hypothesis by examining the foraging rhythms of six populations of A. iberica, which were found at different elevations (from 100 to 2,000m) in the Sierra Nevada mountain range of southern Spain. We tested the thermal resistance of individuals from these populations under controlled conditions. Janzen's climatic variability hypothesis (CVH) states that greater climatic variability should select for organisms with broader temperature tolerances. We found that the A. iberica population at 1,300m experienced the most extreme temperatures and that ants from this population had the highest heat tolerance (LT50=57.55°C). These results support CVH's validity at microclimatic scales, such as the one represented by the elevational gradient in this study. Aphaenogaster iberica maintains colony food intake levels across different elevations and mean daily temperatures by shifting its rhythm of activity. This efficient colony-level thermal regulation and the significant differences in individual heat tolerance that we observed among the populations suggest that behaviourally controlled thermal regulation does not constrain individual physiological adaptations for coping with extreme temperatures.

Contribution of Climate Extremes to Variation in Potato Tuber Yield in Prince Edward Island

Agricultural management practices are responsible for almost two-thirds of the variations in potato tuber yield. In order to answer the research question about the remaining variability of the tuber yield, we hypothesized that climate extremes partly explain the missing component of variations of the tuber yield. Therefore, this research attempts to bridge this knowledge gap in order to generate a knowledge base for future strategies. A climate extreme dataset of the Prince Edward Island (PEI) was computed by averaging the data of five meteorological stations. In detail, changing patterns of 20 climate extreme indices were computed with ClimPACT2 software for 30 years (1989-2018) data of PEI. Statistical significance of the trends and their slope values were determined with the Mann-Kendall test and Sen’s slope estimates, respectively. Average of daily mean temperature (TMm), mean daily minimum temperature (TNm) and the occurrence of continuous dry days (CDD), significantly increased by 0.77 °C, 1.17 °C and 3.33 days., respectively, during the potato growing seasons (May-October) of the past three decades. For this period daily temperature range (DTR), frost days (FD), cold days (TX10p), cold nights (TN10p) and warmest days (TXx) showed decreasing trends of −1.01 °C, −3.75 days, −5.67 days, −11.40 nights, and −2.00 days, respectively. The principal component analysis showed that DTR, TXx, CDD, and TNm were the main factors affecting seasonal variations of tuber yield. The multiple regression model attributed ~39% of tuber yield variance to DTR, TXx, CDD, and TNm. However, these indices explained individually 21%, 19%, 16%, and 4% variation to the tuber yield, respectively. The remaining variation in the tuber yield explained by other yield affecting factors. The information generated from this study can be used for future planning about agricultural management strategies in the Island, for example, the provision of water resources for supplemental irrigation of crops during dry months.

Thermally-driven thresholds in terrestrial avifauna waterhole visitation indicate vulnerability to a warming climate

Warming global climates represent major threats to avian populations, particularly those reliant on surface water within arid biomes. We investigated terrestrial avian use of groundwater-dominated arid zone waterholes in central Australia to identify species vulnerable to climate change. Camera traps set in Watarrka National Park recorded avian species over 14 months at three waterholes during 2014 and 2015. Recorded species were assigned to functional groups, which included nectarivores, granivores, carnivores and omnivores. Generalised Additive Mixed Models (GAMMs) were used to model daily trapping rates (DTRs) for each functional group at waterholes in relation to daily maximum temperature and days since last rainfall. Granivores exhibited high DTRs across the entire daily maximum temperature range (15 °C–43 °C). Increasing threshold responses beyond specific daily maximum temperatures were exhibited by nectarivores (35 °C), carnivores (30 °C) and omnivores (30 °C). The DTRs for all functional groups increased with days since last rainfall. These data indicate species within all functional groups are vulnerable to a warming climate, even those that are considered to be surface water independent, as increasing waterhole visitations in torrid conditions reduces foraging time and could lead to reduced fitness in particular individuals.

Risk of the introduction of Lobesia botrana in suitable areas for Vitis vinifera

The European grapevine moth, Lobesia botrana (Lepidoptera: Tortricidae), is a pest that has great potential to cause damage to vineyards. Considering that L. botrana is one of the major grapevine pests globally, it is essential to analyze the risk of its introduction and determine places with higher potential for the establishment of this pest. In this study, we highlighted the most prone regions in the world for the occurrence of L. botrana and its main host, Vitis vinifera, based on the bioclimatic and occurrence region for the pest and the crop, using ecological niche modeling with the MaxEnt algorithm. A survey was also made of the location of 3700 airports around the world, to emphasize the possible influx of people and material carrying the pest in different countries. The climatic variables that most influenced the establishment of L. botrana were annual average temperature, annual mean precipitation, and annual temperature variation. The regions with the greatest possibility of the occurrence of both species (L. botrana and V. vinifera) were those with average annual temperatures close to 13 °C, a mean annual precipitation between 600 and 700 mm, an annual temperature variation of approximately 28 °C, an average daily temperature range of 10 °C, and precipitation of approximately 20 mm in the coldest month. These characteristics are found in almost all vineyard regions globally. This study allowed us to determine the relationship between the environmental preferences of L. botrana and V. vinifera, making it possible to choose locations to focus on combatting the pest and implementing preventive actions.

Seasonality of allergic diseases: Real-world evidence from a nationwide population-based study.

IntroductionSeasonal variations of allergic diseases have been of great interest in clinical practice, but large‐scale epidemiological data in the real world is lacking.MethodsWe conducted a nationwide, population‐based, cross‐sectional study using the Korean National Health Insurance claims database to examine the seasonalities of allergic rhinitis (AR), asthma, allergic conjunctivitis (AC), and atopic dermatitis (AD). In addition, we investigated the correlations between the monthly patient numbers of each disease and climate factors such as daytime length, temperature, daily temperature range, humidity, solar radiation, rainfall, UVA dose, UVB dose, and PM10.ResultsThe highest seasonal variation was identified in AC, followed by AR, asthma, and AD. AR was most prevalent in September and least prevalent in July and was positively correlated with a daily temperature range. Asthma had peaked in the winter and spring and was negatively correlated with both temperature and humidity. AC had dual peaks in May and September and the valley in winter. AD was prevalent between May and August with the lowest visits in winter and positively correlated with temperature.ConclusionsWe demonstrated a clear seasonality of four allergic diseases. Korea is located in a temperate region with four distinct seasons, with 50 million people all having a single health insurance system. Therefore, our data reflects all hospital visits in Korea with the least chance for selection bias.