Spatiotemporal variations of anthropogenic heat flux(AHF)is reported to be associated with global warming.However,confined to the low spatial resolution of energy consumption statistical data,details of AHF was not we...Spatiotemporal variations of anthropogenic heat flux(AHF)is reported to be associated with global warming.However,confined to the low spatial resolution of energy consumption statistical data,details of AHF was not well descripted.To obtain high spatial resolution data of AHF,Defense Meteorological Satellite Program/Operational Linescan System(DMSP/OLS)nighttime light time-series product and Moderate Resolution Imaging Spectroradiometer(MODIS)satellite monthly normalized difference vegetation index(NDVI)product were applied to construct the human settlement index.Based on the spatial regression relationship between human settlement index and energy consumption data.A 1-km resolution dataset of AHF of 12 selected cities in the eastern China was obtained.Ordinary least-squares(OLS)model was applied to detect the mechanism of spatial patterns of AHF.Results showed that industrial emission in selected cities of the eastern China was accountable for 63%of the total emission.AHF emission in megacities,such as Tianjin,Jinan,Qingdao,and Hangzhou,was most significant.AHF increasing speed in most areas in the chosen cities was quite low.High growth or extremely high growth of AHF were located in central downtown areas.In Beijing,Shanghai,Guangzhou,Jinan,Hangzhou,Changzhou,Zhaoqing,and Jiangmen,a single kernel of AHF was observed.Potential influencing factors showed that precipitation,temperature,elevation,normalized different vegetation index,gross domestic product,and urbanization level were positive with AHF.Overall,this investigation implied that urbanization level and economic development level might dominate the increasing of AHF and the spatial heterogeneousness of AHF.Higher urbanization level or economic development level resulted in high increasing speeds of AHF.These findings provide a novel way to reconstruct of AHF and scientific supports for energy management strategy development.展开更多
studies have suggested that non-optimal temperatures may increase the risk of injury,epidemiological studies focusing on the association between temperature and non-fatal injury among children and adolescents are limi...studies have suggested that non-optimal temperatures may increase the risk of injury,epidemiological studies focusing on the association between temperature and non-fatal injury among children and adolescents are limited.Therefore,we investigated the short-term effect of ambient temperature on non-fatal falls and road traffic injuries(RTIs)among students across Jiangsu Province,China.Meteorological data and records of non-fatal outdoor injuries due to falls and RTIs among students aged 6–17 were collected during 2018–2020.We performed a time-stratified case-crossover analysis with a distributed lag nonlinear model to examine the effect of ambient temperature on the risk of injury.Individual meteorological exposure was estimated based on the address of the selected school.We also performed stratified analyses by sex,age,and area.A total of 57322 and 5455 cases of falls and RTIs were collected,respectively.We observed inverted U-shaped curves for temperatureinjury associations,with maximum risk temperatures at 18℃(48th of daily mean temperature distribution)for falls and 22℃(67th of daily mean temperature distribution)for RTIs.The corresponding odds ratios(95%confidence intervals)were 2.193(2.011,2.391)and 3.038(1.988,4.644)for falls and RTIs,respectively.Notably,there was a significant age-dependent trend in which the temperature effect on falls was greater in older students(P-trend<0.05).This study suggests a ignificant association between ambient temperature and students’outdoor falls and RTIs.Our findings may help advance tailored strategies to reduce the incidence of outdoor falls and RTIs in children and adolescents.展开更多
Extreme precipitation is exacerbating the burden of infectious diarrhea in the context of climate change,it is necessary to identify the critical and easy-to-intervene intermediate factors for public health strategies...Extreme precipitation is exacerbating the burden of infectious diarrhea in the context of climate change,it is necessary to identify the critical and easy-to-intervene intermediate factors for public health strategies.Water quality may be the most important mediator,while relevant empirical evidence is limited.This study aimed to examine the role of water quality in the process of infectious diarrhea caused by extreme precipitation.Weekly infectious diarrhea cases,meteorological factors and water quality data in Yangtze River Basin in China between October 29,2007 to February 19,2017 were obtained.Two-stage statistical models were used to estimate city-specific extreme precipitation,water quality and infectious diarrhea relationships that were pooled to derive regional estimates.A causal mediation analysis was used to assess the mediation effect of water quality.In Yangtze River Basin,extreme precipitation events had a significant impact on infectious diarrhea(Incidence Rate Ratios[IRR]:1.027,95%Confidence Interval[CI]:1.013~1.041).After extreme precipitation events,the dissolved oxygen(DO)in surface water decreased(-0.123 mg/L,95%CI:-0.159 mg/L~-0.086 mg/L),while the un-ionized ammonia(NH(3)-N)increased(0.004 mg/L,95%CI:0.001 mg/L~0.006 mg/L).The combined overall effect of DO and NH(3)-N on infectious diarrhea showed that both low and high concentrations were associated with an increased risk of infectious diarrhea.The causal mediation analysis showed that the mediation proportion of the two water quality indexes(DO and NH(3)-N)is 70.54%(P<0.001).To reduce the health effects of extreme precipitation,in contrast to current population-oriented health strategies,those that take into account more direct and easy-to-intervene water quality indicators should be encouraged by future policies.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41901219,41671430,41801326)Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou)(No.GML2019ZD0301)。
文摘Spatiotemporal variations of anthropogenic heat flux(AHF)is reported to be associated with global warming.However,confined to the low spatial resolution of energy consumption statistical data,details of AHF was not well descripted.To obtain high spatial resolution data of AHF,Defense Meteorological Satellite Program/Operational Linescan System(DMSP/OLS)nighttime light time-series product and Moderate Resolution Imaging Spectroradiometer(MODIS)satellite monthly normalized difference vegetation index(NDVI)product were applied to construct the human settlement index.Based on the spatial regression relationship between human settlement index and energy consumption data.A 1-km resolution dataset of AHF of 12 selected cities in the eastern China was obtained.Ordinary least-squares(OLS)model was applied to detect the mechanism of spatial patterns of AHF.Results showed that industrial emission in selected cities of the eastern China was accountable for 63%of the total emission.AHF emission in megacities,such as Tianjin,Jinan,Qingdao,and Hangzhou,was most significant.AHF increasing speed in most areas in the chosen cities was quite low.High growth or extremely high growth of AHF were located in central downtown areas.In Beijing,Shanghai,Guangzhou,Jinan,Hangzhou,Changzhou,Zhaoqing,and Jiangmen,a single kernel of AHF was observed.Potential influencing factors showed that precipitation,temperature,elevation,normalized different vegetation index,gross domestic product,and urbanization level were positive with AHF.Overall,this investigation implied that urbanization level and economic development level might dominate the increasing of AHF and the spatial heterogeneousness of AHF.Higher urbanization level or economic development level resulted in high increasing speeds of AHF.These findings provide a novel way to reconstruct of AHF and scientific supports for energy management strategy development.
文摘studies have suggested that non-optimal temperatures may increase the risk of injury,epidemiological studies focusing on the association between temperature and non-fatal injury among children and adolescents are limited.Therefore,we investigated the short-term effect of ambient temperature on non-fatal falls and road traffic injuries(RTIs)among students across Jiangsu Province,China.Meteorological data and records of non-fatal outdoor injuries due to falls and RTIs among students aged 6–17 were collected during 2018–2020.We performed a time-stratified case-crossover analysis with a distributed lag nonlinear model to examine the effect of ambient temperature on the risk of injury.Individual meteorological exposure was estimated based on the address of the selected school.We also performed stratified analyses by sex,age,and area.A total of 57322 and 5455 cases of falls and RTIs were collected,respectively.We observed inverted U-shaped curves for temperatureinjury associations,with maximum risk temperatures at 18℃(48th of daily mean temperature distribution)for falls and 22℃(67th of daily mean temperature distribution)for RTIs.The corresponding odds ratios(95%confidence intervals)were 2.193(2.011,2.391)and 3.038(1.988,4.644)for falls and RTIs,respectively.Notably,there was a significant age-dependent trend in which the temperature effect on falls was greater in older students(P-trend<0.05).This study suggests a ignificant association between ambient temperature and students’outdoor falls and RTIs.Our findings may help advance tailored strategies to reduce the incidence of outdoor falls and RTIs in children and adolescents.
基金supported by the National Key R&D Program of China(2018YFA0606200)Sanming Project of Medicine in Shenzhen,China(SZSM202111001).
文摘Extreme precipitation is exacerbating the burden of infectious diarrhea in the context of climate change,it is necessary to identify the critical and easy-to-intervene intermediate factors for public health strategies.Water quality may be the most important mediator,while relevant empirical evidence is limited.This study aimed to examine the role of water quality in the process of infectious diarrhea caused by extreme precipitation.Weekly infectious diarrhea cases,meteorological factors and water quality data in Yangtze River Basin in China between October 29,2007 to February 19,2017 were obtained.Two-stage statistical models were used to estimate city-specific extreme precipitation,water quality and infectious diarrhea relationships that were pooled to derive regional estimates.A causal mediation analysis was used to assess the mediation effect of water quality.In Yangtze River Basin,extreme precipitation events had a significant impact on infectious diarrhea(Incidence Rate Ratios[IRR]:1.027,95%Confidence Interval[CI]:1.013~1.041).After extreme precipitation events,the dissolved oxygen(DO)in surface water decreased(-0.123 mg/L,95%CI:-0.159 mg/L~-0.086 mg/L),while the un-ionized ammonia(NH(3)-N)increased(0.004 mg/L,95%CI:0.001 mg/L~0.006 mg/L).The combined overall effect of DO and NH(3)-N on infectious diarrhea showed that both low and high concentrations were associated with an increased risk of infectious diarrhea.The causal mediation analysis showed that the mediation proportion of the two water quality indexes(DO and NH(3)-N)is 70.54%(P<0.001).To reduce the health effects of extreme precipitation,in contrast to current population-oriented health strategies,those that take into account more direct and easy-to-intervene water quality indicators should be encouraged by future policies.
