Green-blue spaces(GBS)are pivotal in mitigating thermal discomfort.However,their management lacks guidelines rooted in epidemiological evidence for specific planning and design.Here we show how various GBS types modif...Green-blue spaces(GBS)are pivotal in mitigating thermal discomfort.However,their management lacks guidelines rooted in epidemiological evidence for specific planning and design.Here we show how various GBS types modify the link between non-optimal temperatures and cardiovascular mortality across different thermal extremes.We merged fine-scale population density and GBS data to create novel GBS exposure index.A case time series approach was employed to analyse temperature-cardiovascular mortality association and the effect modifications of type-specific GBSs across 1085 subdistricts in south-eastern China.Our findings indicate that both green and blue spaces may significantly reduce high-temperature-related cardiovascular mortality risks(e.g.,for low(5%)vs.high(95%)level of overall green spaces at 99th vs.minimum mortality temperature(MMT),Ratio of relative risk(RRR)=1.14(95%CI:1.07,1.21);for overall blue spaces,RRR=1.20(95%CI:1.12,1.29)),while specific blue space types offer protection against cold temperatures(e.g.,for the rivers at 1st vs MMT,RRR=1.17(95%CI:1.07,1.28)).Notably,forests,parks,nature reserves,street greenery,and lakes are linked with lower heat-related cardiovascular mortality,whereas rivers and coasts mitigate cold-related cardiovascular mortality.Blue spaces provide greater benefits than green spaces.The severity of temperature extremes further amplifies GBS's protective effects.This study enhances our understanding of how type-specific GBS influences health risks associated with non-optimal temperatures,offering valuable insights for integrating GBS into climate adaptation strategies for maximal health benefits.展开更多
城市生态环境质量的监测和评价对于城市可持续发展具有重要意义。为评价我国近海发达城市近年来生态环境质量,该文以南京市为例,基于2021年Sentinel-2A遥感影像,利用绿色空间、蓝色空间、建筑及不透水地表面构建了一种新的遥感绿色指数(...城市生态环境质量的监测和评价对于城市可持续发展具有重要意义。为评价我国近海发达城市近年来生态环境质量,该文以南京市为例,基于2021年Sentinel-2A遥感影像,利用绿色空间、蓝色空间、建筑及不透水地表面构建了一种新的遥感绿色指数(remote sensing green index,RSGI)模型,并初次将模型应用于南京市的生态环境质量评价。首先,对南京市Sentinel-2A遥感影像进行神经网络监督分类,构建RSGI,用于评价南京市各区的生态环境质量;其次,运用皮尔逊相关系数分析了RSGI与城市各生态要素之间的相关性;最后运用聚合层次聚类分析法分析了南京市各区之间的相似程度。结果表明:南京市生态环境质量呈现出中间低四周高的结构,其中六合区RSGI值最高(0.86),秦淮区最低(0.38),相差0.48;RSGI与绿色空间密度呈现0.01级别正相关趋势,与人口密度、建筑密度、不透水地表面密度呈现0.01级别负相关趋势;南京市11个区在城市生态要素方面以70%相似度为阈值可划分为4个集合,第一集合为秦淮区、鼓楼区和建邺区,第二集合为雨花台区和栖霞区,第三集合为玄武区和高淳区,第四集合由其他4个区组成。研究结果可为南京市未来城市规划与可持续发展提供科学依据。展开更多
基于2000-2020年土地利用类型数据,采用景观指数、景观动态度、地理探测器等方法,分析沿黄城市泰安市蓝绿空间时空演变特征及其驱动因素。结果表明,1)近20 a泰安市蓝绿空间规模整体呈减少趋势,动态度为-0.41%,面积减少131.24 km 2,但呈...基于2000-2020年土地利用类型数据,采用景观指数、景观动态度、地理探测器等方法,分析沿黄城市泰安市蓝绿空间时空演变特征及其驱动因素。结果表明,1)近20 a泰安市蓝绿空间规模整体呈减少趋势,动态度为-0.41%,面积减少131.24 km 2,但呈现明显的阶段性特征,前10 a变化剧烈,动态度为-0.82%,后10 a动态度仅为0.005%。2)2000-2020年,蓝绿空间景观格局指数发生了显著变化,且各指数在前10 a的变化程度更大;类型水平上,绿色空间和蓝色空间的景观形状整体趋于规则、均有连片发展趋势,但绿色空间的景观形状更复杂、分布离散度更大;景观水平上,蓝绿空间破碎度呈减弱趋势,但景观连通性下降、景观异质性增强。3)地理探测分析表明,社会经济因素是蓝绿空间分异的主导因子,生产总值、人口密度、第一与第二产业产值等社会经济因素对蓝绿空间变化的解释力显著大于高程等自然因素。研究认为城镇化进程中需要加强对国土空间的科学管控,应加强泰安市蓝绿空间的完整性、连通性保护。该研究为泰安市蓝绿空间优化与管理、区域可持续发展提供一定参考。展开更多
基金supported by the National Natural Science Foundation of China(42001013,41971019,32271935)the Zhejiang Provincial Natural Science Foundation of China(Y23D050006)+2 种基金the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province,China(2020E10004)the Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang(2019R01007)the Healthy Zhejiang One Million People Cohort(20230085).
文摘Green-blue spaces(GBS)are pivotal in mitigating thermal discomfort.However,their management lacks guidelines rooted in epidemiological evidence for specific planning and design.Here we show how various GBS types modify the link between non-optimal temperatures and cardiovascular mortality across different thermal extremes.We merged fine-scale population density and GBS data to create novel GBS exposure index.A case time series approach was employed to analyse temperature-cardiovascular mortality association and the effect modifications of type-specific GBSs across 1085 subdistricts in south-eastern China.Our findings indicate that both green and blue spaces may significantly reduce high-temperature-related cardiovascular mortality risks(e.g.,for low(5%)vs.high(95%)level of overall green spaces at 99th vs.minimum mortality temperature(MMT),Ratio of relative risk(RRR)=1.14(95%CI:1.07,1.21);for overall blue spaces,RRR=1.20(95%CI:1.12,1.29)),while specific blue space types offer protection against cold temperatures(e.g.,for the rivers at 1st vs MMT,RRR=1.17(95%CI:1.07,1.28)).Notably,forests,parks,nature reserves,street greenery,and lakes are linked with lower heat-related cardiovascular mortality,whereas rivers and coasts mitigate cold-related cardiovascular mortality.Blue spaces provide greater benefits than green spaces.The severity of temperature extremes further amplifies GBS's protective effects.This study enhances our understanding of how type-specific GBS influences health risks associated with non-optimal temperatures,offering valuable insights for integrating GBS into climate adaptation strategies for maximal health benefits.
文摘城市生态环境质量的监测和评价对于城市可持续发展具有重要意义。为评价我国近海发达城市近年来生态环境质量,该文以南京市为例,基于2021年Sentinel-2A遥感影像,利用绿色空间、蓝色空间、建筑及不透水地表面构建了一种新的遥感绿色指数(remote sensing green index,RSGI)模型,并初次将模型应用于南京市的生态环境质量评价。首先,对南京市Sentinel-2A遥感影像进行神经网络监督分类,构建RSGI,用于评价南京市各区的生态环境质量;其次,运用皮尔逊相关系数分析了RSGI与城市各生态要素之间的相关性;最后运用聚合层次聚类分析法分析了南京市各区之间的相似程度。结果表明:南京市生态环境质量呈现出中间低四周高的结构,其中六合区RSGI值最高(0.86),秦淮区最低(0.38),相差0.48;RSGI与绿色空间密度呈现0.01级别正相关趋势,与人口密度、建筑密度、不透水地表面密度呈现0.01级别负相关趋势;南京市11个区在城市生态要素方面以70%相似度为阈值可划分为4个集合,第一集合为秦淮区、鼓楼区和建邺区,第二集合为雨花台区和栖霞区,第三集合为玄武区和高淳区,第四集合由其他4个区组成。研究结果可为南京市未来城市规划与可持续发展提供科学依据。
