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Mortality spatial variations in a small scale during heat waves in Lisbon - who is at risk?

机译:里斯本热浪期间死亡率的小范围空间变化-谁有危险?

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Impacts of heat waves in morbidity and mortality are largely known. Climate Change is expected to increase the climate health impacts in summer while during the winter these impacts will be probably favored. The health impacts of extreme thermal events are mainly studied at a national or regional level,considering macro or mesoscale thermal features. But it can be assumed that local variations in mortality must exist, associated, in one hand, with local climatic differences, due to features such as land use and urbanization and, in other hand, with vulnerability factors, depending on demographic and socio-economic characteristics of populations. A model of hazard – vulnerability – risk was developed, to analyze the spatial variations of mortality in extreme thermal events, at the level of city district, in the Lisbon Metropolitan Area, Portugal. Small scale variation of meteorological features, in extreme thermal events, were simulated with a Regional Atmospheric Model (Brazilian Regional Atmospheric Modeling System - BRAMS) and the results were validated and calibrated using observation data from an urban network of termohigrometers placed in sites with different urban characteristics. These data along with thermal patterns data (obtained from the urban network of termohigrometers) and air quality information (ozone and PM) were then used to characterize heat stress events.The relationship between temperature and daily mortality (especially during heat wave events)at a small scale, considering vulnerability factors, is an ongoing research. Spatial variations of mortality at this scale will be characterized, the most important vulnerability factors identified and risk areas will be delimitaded.
机译:热浪对发病率和死亡率的影响是众所周知的。预计气候变化将在夏季增加对气候健康的影响,而在冬季,这些影响可能会受到青睐。考虑到宏观或中尺度的热特征,主要在国家或地区级别研究极端热事件对健康的影响。但是可以假设,由于土地利用和城市化等特征,一方面必须与当地的气候差异有关,另一方面必须取决于人口和社会经济因素,来确定局部的死亡率差异。人口特征。开发了一种危害​​-脆弱性-风险模型,以分析葡萄牙里斯本大都会地区市区内极端高温事件中死亡率的空间变化。使用区域大气模型(巴西区域大气模型系统-BRAMS)模拟了极端高温事件中气象特征的小规模变化,并使用来自放置在不同城市地点的湿度计城市网络的观测数据对结果进行了验证和校准。特征。然后将这些数据与热模式数据(从湿度计的城市网络获得)和空气质量信息(臭氧和PM)一起用于表征热应力事件,并确定温度与每日死亡率(特别是在热浪事件期间)之间的关系。考虑脆弱性因素的小规模研究仍在进行中。将表征这种规模上的死亡率的空间变化,确定最重要的脆弱性因素,并划定危险区域。

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