Effects Of Extreme Temperatures Research Articles

Effects of extreme temperatures on public sentiment in 49 Chinese cities.

The rising sentiment challenges of the metropolitan residents may be attributed to the extreme temperatures. However, nationwide real-time empirical studies that examine this claim are rare. In this research, we construct a daily extreme temperature index and sentiment metric using geotagged posts on one of China's largest social media sites, Weibo, to verify this hypothesis. We find that extreme temperatures causally decrease individuals' sentiment, and extremely low temperature may decrease more than extremely high temperature. Heterogeneity analyses reveal that individuals living in high levels of PM2.5, existing new COVID-19 diagnoses and low-disposable incomecities on workdays are more vulnerable to the impact of extreme temperatures on sentiment. More importantly, the results also demonstrate that the adverse effects of extremely low temperatures on sentiment are more minor for people living in northerncities with breezes. Finally, we estimate that witha one-standardincrease of extremely high (low) temperature, the sentiment decreases by approximately 0.161 (0.272) units.Employing social media to monitor public sentiment can assist policymakers in developing data-driven and evidence-based policiesto alleviate the adverse impacts of extreme temperatures.

Spatiotemporal distribution and lag effect of extreme temperature exposure on mortality of residents in Jiangsu, China

BackgroundWith the ever-increasing occurrence of extreme weather events as a result of global climate change, the impact of extreme temperatures on human health has become a critical area of concern. Specifically, it is imperative to investigate the impact of extreme weather conditions on the health of residents. MethodsIn this study, we analyze the daily death data from 13 prefecture-level cities in Jiangsu Province from January 2014 to September 2022, using the distributed lag nonlinear model (DLNM) to comprehensively account for factors such as relative humidity, atmospheric pressure, air pollutants, and other factors to evaluate the lag and cumulative effects of extreme low temperature and high temperature on the death of residents across different age groups. Additionally, we utilize the Geographical Detector to analyze the effects of various meteorological and environmental factors on the distribution of resident death in Jiangsu Province. This provides valuable insights that can guide health authorities in decision-making and in the protection of residents. ResultsThe experimental results indicate that both extreme low and high temperatures increase the mortality of residents. We observe that the impact of extreme low temperatures has a delayed effect, peaking after 3–5 days and lasting up to 11–21 days. In contrast, the impact of extreme high temperature is greatest on the first day, and lasts only 2–4 days. ConclusionBoth extreme high and low temperatures increase the mortality of residents, with the former being more transient and stronger and the latter being more persistent and slower. Furthermore, residents over 75 years of age are more vulnerable to the effects of extreme temperatures. Finally, we note that the spatial distribution of resident deaths is most closely associated consistent with the spatial distribution of daily mean temperature, and there is significant spatial heterogeneity in deaths among residents in Jiangsu Province.

Temperature exposure and health inequality

This paper analyzes the relationship among temperature exposure, health inequality, and adaptive behavior in China, a country with diverse climate zones ranging from the cold, arid northwest to the warm, humid south. Utilizing follow-up survey data spanning from 2000 to 2015, this paper constructs a measure of health inequality at the community level. Our findings reveal that extremely cold or hot days increase the health inequality at the community level. Specifically, with each incremental rise in the day’s extreme temperature, the Gini coefficient of community health rises by 0.0032, which constitutes approximately 0.4% of the community average. Furthermore, vulnerable communities, which are characterized by low average income, education levels, per capita electricity consumption, and urbanization, are highly susceptible to the effects of extreme temperatures on health equality. From the perspective of adaptive behavior, residents in high-income communities exhibit elevated electricity consumption and engage in frequent preventive health check-ups during extreme temperature exposure. This phenomenon may exacerbate social polarization because well-resourced individuals and communities are better equipped to withstand the challenges posed by climate change and extreme weather events compared with impoverished ones. Addressing this disparity requires local managers to implement comprehensive policies and interventions that can enhance the adaptability of low-income communities, improve public health facilities, and promote social equity.

Thermal stress simulation analysis of aerospace optical fibers and connectors and related extensions to high-speed railway area

Aerospace optical cables and fiber-optic connectors have numerous advantages (e.g., low loss, wide transmission frequency band, large capacity, light weight, and excellent resistance to electromagnetic interference). They can achieve optical communication interconnections and high-speed bidirectional data transmission between optical terminals and photodetectors in space, ensuring the stability and reliability of data transmission during spacecraft operations in orbit. They have become essential components in high-speed networking and optically interconnected communications for spacecrafts. Thermal stress simulation analysis is important for evaluating the temperature stress concentration phenomenon resulting from temperature fluctuations, temperature gradients, and other factors in aerospace optical cables and connectors under the combined effects of extreme temperatures and vacuum environments. Considering this, advanced optical communication technology has been widely used in high-speed railway communication networks to transmit safe, stable and reliable signals, as high-speed railway optical communication in special areas with extreme climates, such as cold and high-temperature regions, requires high-reliability optical cables and connectors. Therefore, based on the finite element method, comprehensive comparisons were made between the thermal distributions of aerospace optical cables and J599III fiber optic connectors under different conditions, providing a theoretical basis for evaluating the performance of aerospace optical cables and connectors in space environments and meanwhile building a technical foundation for potential optical communication applications in the field of high-speed railways.

Estimating the impacts of nonoptimal temperatures on mortality: A study in British Columbia, Canada, 2001-2021.

Studies show that more than 5.1 million deaths annually are attributed to nonoptimal temperatures, including extreme cold and extreme heat. However, those studies mostly report average estimates across large geographical areas. The health risks attributed to nonoptimal temperatures in British Columbia (BC) are reported incompletely or limit the study area to urban centers. In this study, we aim to estimate the attributable deaths linked to nonoptimal temperatures in all five regional health authorities (RHAs) of BC from 2001 to 2021. We applied the widely used distributed lag nonlinear modeling approach to estimate temperature-mortality association in the RHAs of BC, using daily all-cause deaths and 1 × 1 km gridded daily mean temperature. We evaluated the model by comparing the model-estimated attributable number of deaths during the 2021 heat dome to the number of heat-related deaths confirmed by the British Columbia Coroners Service. Overall, between 2001 and 2021, we estimate that 7.17% (95% empirical confidence interval = 3.15, 10.32) of deaths in BC were attributed to nonoptimal temperatures, the majority of which are attributed to cold. On average, the mortality rates attributable to moderate cold, moderate heat, extreme cold, and extreme heat were 47.04 (95% confidence interval [CI] = 45.83, 48.26), 0.94 (95% CI = 0.81, 1.08), 2.88 (95% CI = 2.05, 3.71), and 3.10 (95% CI = 1.79, 4.4) per 100,000 population per year, respectively. Our results show significant spatial variability in deaths attributable to nonoptimal temperatures across BC. We find that the effect of extreme temperatures is significantly less compared to milder nonoptimal temperatures between 2001 and 2021. However, the increased contribution of extreme heat cannot be ruled out in the near future.

Association of air temperature exposure during pregnancy with risk of preeclampsia in Guangzhou, China

Environmental exposures during pregnancy have been associated with adverse obstetric outcomes. However, limited and inconsistent evidence exists regarding the association between air temperature exposure and the risk of preeclampsia (PE). This study aimed to evaluate the correlation between ambient temperature exposure during pregnancy and PE risk, as well as identify the specific time window of temperature exposure that increases PE risk. A population-based cohort study was conducted from January 2012 to April 2022 in Guangzhou, China. Pregnant women were recruited in early pregnancy and followed until delivery. A total of 3,314 PE patients and 114,201 normal pregnancies were included. Ambient temperature exposures at different gestational weeks were recorded for each participant. Logistic regression models were used to evaluate the correlation between ambient temperature exposure and PE risk. Stratified analyses were conducted based on maternal age and pre-pregnancy BMI. Distributed lag models were employed to identify the time window of temperature exposure related to PE. Exposure to extreme high temperature (aOR = 1.24, 95 % CI 1.12–1.38) and moderate high temperature (aOR = 1.22, 95 % CI 1.10–1.35) during early pregnancy was associated with an increased risk of PE. Furthermore, women with higher pre-pregnancy BMI had a higher risk of developing PE when exposed to high temperature during early pregnancy compared to normal-weight women. The time window of temperature exposure related to PE was identified as pregnancy weeks 1 to 8. This study provides evidence for the association of high temperature exposure during early pregnancy with the risk of PE, as well as identifies the specific time window of temperature exposure related to PE. These findings have implications for developing potential strategies to protect pregnant women, particularly those with higher pre-pregnancy BMI, from the adverse effects of extreme temperatures during early pregnancy.

State-dependent movement choices of desert lizards: The role of behavioural thermoregulation during summer and winter

Environmental temperatures are increasing worldwide, threatening desert ectotherms already living at their thermal limits. Organisms with flexible thermoregulatory behaviours may be able to mitigate the effects of extreme temperatures by moving among microhabitats, yet little work has tracked movement patterns of desert ectotherms in the wild over diurnal scales or compared behaviour among seasons. Here, we used camera traps to track the thermoregulatory behaviour and microhabitat choices of 30 desert lizards (Messalina bahaldini) in custom, outdoor arenas that provided access to open, rock, and bush microhabitats. We found that in the summer, lizards preferred to move to the shaded microhabitats and remain there under warmer conditions. During winter, however, lizards’ activity was not related to temperature, and lizards mostly chose to remain in the open habitat. Interestingly, in both seasons, lizards tended to remain in their current microhabitat and moved infrequently between certain combinations of microhabitats. Our study shows that thermoregulation (shade-seeking behaviour) is a major factor during summer, helping lizards to avoid extreme temperatures, but not during winter, and shows a novel effect of current microhabitat on movement, suggesting that other biotic or abiotic factors may also drive microhabitat choice. Understanding the complex factors at play in microhabitat choice is critical for developing conservation programs that effectively mitigate the negative impacts of climate change on desert animals.

Effects of extreme temperatures and recovery potential of Gongolaria barbata from a coastal lagoon in the northern Adriatic Sea: An ex situ approach.

Globally, rising seawater temperatures contribute to the regression of marine macroalgal forests. Along the Istrian coastline (northern Adriatic), an isolated population of Gongolaria barbata persists in a coastal lagoon, representing one of the last marine macroalgal forests in the region. Our objective was to examine the impact of extreme temperatures on morphology and physiology of G. barbata, and test its potential for recovery after simulating marine heatwave (MHW) conditions. We explored the occurrence of marine heatwaves in southern Istria, adjacent to the study area, as well as extreme temperatures inside the area itself. Subsequently, we performed a thermotolerance experiment, consisting of a stress and recovery phase where we exposed G. barbata thalli to four extreme (28 °C, 30 °C, 32 °C, 34 °C) and one favourable (18 °C) temperature. We then monitored morphological and physiological responses. Our findings indicate a significant rise in frequency, duration, and intensity of MHWs over decades on the southern Istrian coast. Experimental results show that G. barbata demonstrates both morphological and physiological recovery potential after exposure to temperatures as high as 32 °C. However, exposure to 34 °C led to thallus decay, with limited regeneration ability. Our results show that G. barbata has a remarkable resilience to long term exposure to extreme temperatures up to 32 °C and suggests that short term exposure to temperatures beyond this, as currently recorded inside the lagoon, do not notably affect the physiology or morphology of local G. barbata. With more MHWs expected in the future, such an adapted population may represent an important donor suitable for future restoration activities along the Istrian coast. These results emphasize the resilience of this unique population, but also warns of the vulnerability of marine macroalgal forests to rising seawater temperatures under rapidly changing climate conditions.

In the heat of the moment: the effects of extreme temperatures on the cognitive functioning of firefighters

Exposure to high temperatures can have detrimental effects on cognitive processing and this is concerning for firefighters who routinely work in extreme temperatures. Whilst past research has studied the effects of heat on firefighter cognition, findings are mixed, and no work has measured the time course of cognitive recovery. This study compared working memory, vigilance, and cognitive flexibility of 37 firefighters before and after they engaged in a live-fire training exercise with temperatures exceeding 115 °C. To assess recovery, cognition was measured on exiting the fire, then 20- and 40-minutes post-fire. Results showed impaired vigilance and cognitive flexibility (increased errors, slower responses) immediately after the fire, but recovery at 20-minutes. These findings indicate that a live indoor fire negatively impacts cognitive processing, but this effect is relatively short-lived and return to baseline functioning is seen 20-minutes after exiting the fire. The findings could be used to inform re-entry and cooling decisions.

Участь γ-аміномасляної кислоти у клітинних сигнальних процесах і в адаптації рослин до дії абіотичних стресорів

Adaptation of plants to stress factors occurs with the participation of stress phytohormones, signaling network and plant neurotransmitters. Among the latter, in particular, γ-aminobutyric acid (γ-aminobutyric acid – GABA) is a non-proteinogenic four-carbon amino acid found in many prokaryotic and eukaryotic organisms. Its functions in plants have been actively studied only in the past decade. During this period, a lot of information has been accumulated about the protective effect of exogenous GABA on plants of various taxonomic groups under the influence of stress factors of various nature. The first national review is devoted to the analysis and generalization of data on the mechanisms of stress-protective action of GABA in plants. The ways of synthesis and metabolism of GABA in plant cells and the mechanisms of activation of these processes under stressful conditions are described. It is noted that the main way of GABA formation in plants is decarboxylation of glutamate by means of glutamate decarboxy­lase. Possible mechanisms of GABA reception and signal transmission to the genetic apparatus are discussed. Special attention is paid to the analysis of new data on the role of calcium in the activation of GABA synthesis and the realization of its physiological effects. Possible mechanisms of GABA’s influence on the functioning of mitochondria, its role in maintaining redox homeostasis under stressful conditions are discussed. At the same time, data on the increase in the expression of genes encoding the catalytic subunit of NADPH oxidase under the influence of GABA are presented. Functional connections between GABA and nitric oxide as a signaling mediator are considered. The effect of exogenous GABA on the main protective reactions of plants is characte­rized: the state of the antioxidant system, the accumulation of multifunctional low-molecular protectors, the synthesis of dehydrins and chaperones. The data on the phenomeno­logy of the effects of GABA under the main abiotic stresses are presented: the effects of extreme temperatures, drought and salinity on plants. The prospects for the practical use of GABA as a compound that combines the functions of an energy metabolite and a signaling mediator are noted.

Case discussion: The effect of extreme temperatures on an older adult

Climate change can cause high temperatures that can affect the older adult in significant ways. Older adults may not be aware of the dangers of high temperature days and may continue with old habits such as staying in the sun to garden without sunscreen or a hat as they may have done in years past. High temperatures can cause impairment of the tone and structure of blood vessels by interfering with nitric oxide synthesis and cytokine production and can cause systemic inflammation, all of which significantly contribute to dehydration in older adults, who are known to have a decreased sense of thirst, resulting in increased blood viscosity and the risk of heat induced shock and thrombotic strokes.This case discussion highlights the effects of high temperatures due to climate change on an older adult, and what nurse practitioners need to be aware of when assessing older adults who may be suffering from heat exhaustion or heat stroke, and how to manage appropriately.

Electro-mechanical contact behavior of rough surfaces in extreme temperature

Revealing the electro-mechanical contact characteristics between rough surfaces at extreme temperatures is critical to accurately assessing the service performance of equipment in aerospace, energy and other fields. In this paper, a theoretical model of electro-mechanical contact behavior at extreme temperatures is developed based on the consideration of the effect of temperature on material property parameters and interfacial morphologies. It reveals the mechanism of temperature variation on the contact behavior of rough surfaces. The results show large temperature changes affect the contact resistance and the real contact area, because of the in significantly different contact behavior between high temperature and low temperature. This study helps us to gain a deeper understanding of the effects of extreme temperatures on the contact behavior and provides a reference for the design of interfacial conductivity in engineering structures.

The role of crop simulation modeling in assessing potential climate change impacts

AbstractAgriculture is weather dependent, and changes in climate can have a drastic impact on our ability to feed, fuel, and clothe the world's population. Climate change is causing more frequent and unprecedented extreme weather events that are already negatively affecting agriculture. We need to assess the effects of extreme temperatures and rainfall on agriculture. Patterns of short‐term extreme weather events, such as elevated temperatures, flooding, and strong winds, are not predictable enough to design field experiments around. Process‐based crop and soil simulation models allow us to explore new management options and thus provide whole‐system‐based knowledge and management guides for different locations over variable climate conditions. By using crop simulation models, researchers can test different adaptation strategies and assess their effectiveness in reducing the impacts of climate change on agricultural production. In this paper, we discuss the development of crop models and how they have been used to assess the effects of a changing climate on agricultural productivity and propose methods for agriculture to adapt to those changes. We describe potential applications of crop models to assess regional issues such as irrigation demand, greenhouse gas emissions, and policy decisions. Better understanding of how weather and climate forecasts at various scales are provided and the reliability of these forecasts is important for using crop models as a planning tool. Different approaches for simulating long‐term climate change impacts on crop yield and seasonal yield forecasting are discussed. The use of ensemble models to better assess climate change impacts is also discussed.

The impact of extreme temperature on labor wage: Evidence from Chinese manufacturing firms

Labor wage is a common focus of welfare economics and public policy, but little is known about its response to climate factors. With random year-to-year variation in temperature based on county-level data while using comprehensive and nationwide manufacturing data in China, this paper identifies the effect of extreme temperatures on firm-level labor wage. The result shows an inverted U-shape relationship between temperature and firm-level labor wage. We find that extremely high and low temperatures affect labor wage through different channels. Specifically, extremely cold temperatures lower labor wage by reducing the average wage from the intensive margin, whereas the negative impact of high temperatures on labor wage is mainly driven by the decrease in the number of employees from the extensive margin aspect. The temperature effect is more pronounced for labor-intensive firms, firms with employees with lower education levels, and low-tech firms. Areas with a hot climate are more sensitive to extremely cold temperatures but are not affected by extremely high temperatures because of the adaptation to climate change. We also find that the high-temperature subsidy policy has not achieved the expected goal of protecting workers’ welfare during this period. Our results suggest that China should raise public awareness of the danger of extreme temperatures and take various adaptive measures to deal with extreme temperatures.

Oxidative stress mediates the impact of heatwaves on survival, growth and immune status in a lizard.

Climate change often includes increases in the occurrence of extreme environmental events. Among these, heatwaves affect the pace of life and performance of wildlife, particularly ectothermic animals, owing to their low thermoregulatory abilities. However, the underlying mechanisms by which this occurs remain unclear. Evidence shows that heatwaves alter the redox balance of ectotherms, and oxidative stress is a major mediator of life-history trade-offs. Therefore, oxidative stress may mediate the effect of extreme thermal conditions on the life histories of ectotherms. To test this hypothesis, a 2 × 2 experiment was conducted to manipulate the redox balance (through a mitochondrial uncoupler that alleviates oxidative stress) of the desert toad-headed agama (Phrynocephalus przewalskii) exposed to heatwave conditions. We recorded lizard growth and survival rates and quantified their redox and immune statuses. In control lizards (unmanipulated redox balance), heatwave conditions decreased growth and survival and induced oxidative damage and immune responses. By contrast, lizards with alleviated oxidative stress showed close-to-normal growth, survival, and immune status when challenged with heatwaves. These results provide mechanistic insight into the role of oxidative stress in mediating the effects of extreme temperatures on ectothermic vertebrates, which may have major eco-evolutionary implications.

Effect of Ambient Temperature on Hospital Admissions for Respiratory Disease in Suburban Rural Villages of a Semi-Arid Region in Northwest China.

This study evaluated the effects of extreme temperatures on hospital admissions for respiratory diseases (RDs) in a semi-arid region in the Northwest of China. Distributed lag nonlinear model was constructed, and stratified analysis by gender and age was performed. The exposure-response curve between temperature and RD hospital admissions was almost W-shaped. Either extremely cold temperatures or moderately cold temperatures presented a short-term acute harmful effect, and the relative risks were higher among males (1.976, 95% confidence interval [CI]: 1.773-2.203; 1.242, 95% CI: 1.203-1.282) and the elderly (2.363, 95% CI: 1.724-3.240; 1.267, 95% CI: 1.154-1.390). Both extreme and moderately hot temperatures had higher risks among females (2.040, 95% CI: 1.815-2.292; 1.328, 95% CI: 1.276-1.381). The relationship between air temperature and RD hospital admissions was nonlinear. Vulnerable populations varied according to extreme temperature conditions.

Tank colours do not change the effects of extreme temperatures on the productive parameters, but skeletal deformities of golden trevally

Tank colours do not change the effects of extreme temperatures on the productive parameters, but skeletal deformities of golden trevally

Climate Change and the Geography of the U.S. Economy

This paper examines how the spatial distribution of people and jobs in the United States has been and will be impacted by climate change. Using novel county-level weather data from 1951 to 2020, we estimate the longer-run effects of weather on local population, employment, wages, and house prices using a panel distributed lag model. The historical results point to long-lasting negative effects of extreme temperatures on each of these outcomes. We highlight that a long lag structure is necessary to appropriately capture the longer-run effects of climate change, as short-run effects are often small and imprecisely estimated. Using county-level weather projections based on alternative greenhouse gas emissions scenarios, we use the estimated models to project the spatial distribution of these local economic outcomes out to 2050. The results point to substantial reallocations of people and jobs across the country over the next three decades, with mobility increasing by between 33 and 100 percent depending on the scenario. Population and employment are projected to shift away from the Sunbelt and toward the North and Mountain West. We document that this would, in fact, be a continuation of a historical pattern: Over the past four decades the relationship between population growth and hot climates across the United States has turned from strongly positive to slightly negative. We present a spatial equilibrium model to interpret the results, highlighting the impacts of climate change on amenities and productivity, and find significant roles for both channels in accounting for our empirical findings.

Association of low and high ambient temperature with mortality for cardiorespiratory diseases in Brazil

Extreme temperatures are a major public health concern, as they have been linked to an increased risk of mortality from circulatory and respiratory diseases. Brazil, a country with vast geographic and climatic variations, is particularly vulnerable to the health impacts of extreme temperatures. In this study, we examined the nationwide (considering 5572 municipalities) association of low and high ambient temperature (1st and 99th percentiles) with daily mortality for circulatory and respiratory diseases in Brazil between 2003 and 2017. We used an extension of the two-stage time-series design. First, we applied a case time series design in combination with distributed lag non-linear modeling (DLMN) framework to assess the association by Brazilian region. Here, the analyses were stratified by sex, age group (15–45, 46–65, and >65 years), and cause of death (respiratory and circulatory mortality). In the second stage, we performed a meta-analysis to estimate pooled effects across the Brazilian regions. Our study population included 1,071,090 death records due to cardiorespiratory diseases in Brazil over the study period. We found increased risk of respiratory and circulatory mortality associated with low and high ambient temperatures. The pooled national results for the whole population (all ages and sex) suggest a relative risk (RR) of 1.27 (95% CI: 1.16; 1.37) and 1.11 (95% CI: 1.01; 1.21) associated with circulatory mortality during cold and heat exposure, respectively. For respiratory mortality, we estimated a RR of 1.16 (95% CI: 1.08; 1.25) during cold exposure and a RR of 1.14 (95% CI: 0.99; 1.28) during heat exposure. The national meta-analysis indicated robust positive associations for circulatory mortality on cold days across several subgroups by sex and age, while only a few subgroups presented robust positive associations for circulatory mortality on warm days and respiratory mortality on both cold and warm days. These findings have important public health implications for Brazil and suggest the need for targeted interventions to mitigate the adverse effects of extreme temperatures on human health.

The Effects of Temperature on Labor Productivity

This article reviews recent economic studies on the causal effects of temperature on labor productivity. The negative effects of extreme temperatures are widespread, and the magnitudes of the impact differ across social and economic factors. In addition to physical outputs, extreme temperatures also impair mental productivity, including cognition and learning. In utero exposure to extreme temperatures has profound effects on human development. Although the literature has detected various adaptation strategies, the conclusions are mixed. We discuss some limitations of existing studies and propose several directions for future research.