Influence of heat wave definitions to the added effect of heat waves on daily mortality in Nanjing, China

Chen, Kai; Bi, Jun; Chen, Jin; Chen, Xiao; Huang, Lei; Zhou, Lian

doi:10.1016/j.scitotenv.2014.10.092

Cited by 150 publications

(91 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…4 The newly generated weather data, which include mean temperature and relative humidity (RH), have superior accuracy, are available at 0.25°9 0.25°grid divisions, and thus were used in our study. A county/district's daily weather data are derived from average values of all grids covered by the county or district rather than employ a single value from within or around the county or district, as some previous studies have done (Chen et al 2015;Yang et al 2016). The averaging method employed in this study is more reasonable, because the derived climate measurements better characterize the spatial variations within a county than those employing station measurements.…”

Section: Data Collectionmentioning

confidence: 99%

“…It was impossible for us to obtain daily air pollution data during the period of more than 10 years across all city clusters because of a strict confidentiality rule on such data in China. Especially, data on ozone, which has potential effects during high temperature days (Chen et al 2015), are desired but unavailable. As an alternative, we collected data on the concentration of fine particulates (PM2.5) and API in Beijing, and tested the impact of these two indices on mortality by comparing the risks of extreme temperature with versus without air pollutants in Beijing.…”

Section: Limitations and Implicationsmentioning

confidence: 99%

“…As the world is increasingly urbanized, the twentyfirst century agenda would have to focus on greatly reducing vulnerabilities of people and infrastructure in urban areas to the impacts of a changing climate (IPCC 2014). Due to their dense population and significant economic status, cities have become hot spots of health risk caused by extreme temperature events (Yang et al 2012;Chen et al 2015).…”

Section: Introductionmentioning

confidence: 99%

“…This document identifies and characterizes related risks in urban areas, particularly public health risks; the health risks from extreme temperature events are considered an especially important task for climate action planning (NDRC 2016). Existing studies have examined temperature-mortality relationships according to different study objectives; some have focused on a single city (Guo et al 2011;Yang et al 2012;Chen et al 2015), and others have concentrated on special climatic or geographic zones (Curriero et al 2002;Li et al 2014;Gao et al 2015;. But few studies have examined the issue in city clusters.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Different Mortality Effects of Extreme Temperature Stress in Three Large City Clusters of Northern and Southern China

Zhang

Wang

et al. 2017

Int J Disaster Risk Sci

View full text Add to dashboard Cite

Extreme temperature events have affected Chinese city residents more frequently and intensively since the early 2000s, but few studies have identified the impacts of extreme temperature on mortality in different city clusters of China. This study first used a distributed lag, nonlinear model to estimate the county/district-specific effects of extreme temperature on nonaccidental and cardiovascular mortality. The authors then applied a multivariate meta-analysis to pool the estimated effects in order to derive regional temperature-mortality relationship in three large city clusters-the Beijing-Tianjin-Hebei (BTH) region, the Yangtze River Delta (YRD), and the Pearl River Delta (PRD), which represent northern and southern regions. With 0-3 days' lag, the strongest heat-related mortality effect was observed in the BTH region (with relative risk (RR) of 1.29; 95% confidence interval (CI): 1.13-1.47), followed by the YRD (RR = 1.25; 95% CI: 1.13-1.35) and the PRD (RR = 1.14; 95% CI: 1.01-1.28) areas. With 0-21 days' lag, the cold effect was pronounced in all city clusters, with the highest extreme cold-related mortality risk found in the PRD area (RR = 2.27; 95% CI: 1.63-3.16), followed by the YRD area (RR = 1.85; 95% CI: 1.56-2.20) and BTH region (RR = 1.33; 95% CI: 0.96-1.83). People in the southern regions tended to be more vulnerable to cold stress, but the northern population was more sensitive to heat stress. By examining the effects of extreme temperature in city clusters of different regions, our findings underline the role of adaptation towards heat and cold, which has important implications for public health policy making and practice.

show abstract

Section: Data Collectionmentioning

confidence: 99%

Section: Limitations and Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Different Mortality Effects of Extreme Temperature Stress in Three Large City Clusters of Northern and Southern China

Zhang

Wang

et al. 2017

Int J Disaster Risk Sci

View full text Add to dashboard Cite

show abstract

“…Продол-жительность волны жары, по данным литературы, обычно со-ставляет 2-5 дней. Важно учитывать, что принятое для расчетов определение волны жары может значительно влиять на результа-ты [10]. Исходя из 99-го и 97-го процентилей распределения среднесуточных температур Б.А.…”

unclassified

Heat and cardiovascular diseases: A review of epidemiological surveys

Kozlovskaya¹,

Булкина²,

Vv³

et al. 2015

Ter. arkh.

View full text Add to dashboard Cite

Давно отмечено, что погодно-климатические факторы спо-собны влиять на здоровье человека. В ряде международных ис-следований выявлена сезонная цикличность заболеваемости и смертности от сердечно-сосудистых заболеваний (ССЗ) с пиком в холодное время года и минимумом в летний период [1][2][3]. Тем-пература воздуха и ее изменение являются наиболее значимым для сердечно-сосудистой системы погодным фактором. Графи-ческое изображение связи сердечно-сосудистой смертности со значениями температуры воздуха называется температурной кривой. В большинстве исследований температурные кривые смертности имеют V-или U-образную форму (см. рисунок), т.е. существует оптимальный диапазон температур, соответствую- The review summarizes epidemiologic data on the effects of heat on cardiovascular morbidity and mortality. Patients with heart failure and cardiac arrhythmias are most susceptible to negative heat exposure. At the same time, measures aimed at preserving the health of the population lead to a considerable reduction in losses associated with an abnormal rise in air temperature.

show abstract

Investigation of Changes in Extreme Temperature and Humidity Over China Through a Dynamical Downscaling Approach

et al. 2017

View full text Add to dashboard Cite

Impacts of climate change relating to public health are often determined by multiple climate variables. The health‐related metrics combining high‐temperature and relative humidity are most concerned. Temperatures, relative humidity and relationship among them are investigated here for a comprehensive assessment of climate change impacts over China. A projection of combined temperatures and humidity through the PRECIS model is addressed. The PRECIS model's skill in reproducing the historical climate over China was first gauged through validating its historical simulation with the observation data set in terms of the two contributing variables. With good results of validation, a plausible range of combined temperatures and relative humidity were generated under RCPs. The results suggested that the annual mean temperature of China will increase up to 6°C at the end of 21st century. Opposite to the significantly change in the temperature, the maximum magnitude of changes in relative humidity is only 8% from the value in the baseline period. The dew point temperature is projected to be 14.9°C (within the comfortable interval) over the whole nation under high radiative forcing scenario at the end of this century. Therefore, the combination effects of high temperatures and relative humidity are substantially smaller than generally anticipated for China. Even though the impact‐relevant metric like the dew point temperature is not projected as bad as the generally anticipated, we found that the frequency of high‐temperature extremes increases up to 40% and the duration increases up to 150% in China. China is still expected to have more number of extremely hot days, more frequent high‐temperature extremes, and longer duration of warm spell than before. Regionally, South China has the smallest changes in the mean, maximum and minimum temperatures while the largest increases in all five high‐temperature indices. Consequently, the climate over South China for two future periods will be changing more drastically than the baseline period. Extra cautions need to be given to South China in the future.

show abstract

Influence of heat wave definitions to the added effect of heat waves on daily mortality in Nanjing, China

Cited by 150 publications

References 41 publications

Different Mortality Effects of Extreme Temperature Stress in Three Large City Clusters of Northern and Southern China

Different Mortality Effects of Extreme Temperature Stress in Three Large City Clusters of Northern and Southern China

Heat and cardiovascular diseases: A review of epidemiological surveys

Investigation of Changes in Extreme Temperature and Humidity Over China Through a Dynamical Downscaling Approach

Contact Info

Product

Resources

About