{"title":"1980年至2018年意大利特伦蒂诺-上阿迪杰地区热潮和寒潮风险趋势","authors":"M. Morlot, S. Russo, L. Feyen, G. Formetta","doi":"10.5194/nhess-23-2593-2023","DOIUrl":null,"url":null,"abstract":"Abstract. Heat waves (HWs) and cold waves (CWs) can have considerable impact on\npeople. Mapping risks of extreme temperature at local scale, accounting for\nthe interactions between hazard, exposure, and vulnerability, remains a\nchallenging task. In this study, we quantify risks from HWs and CWs for the\nTrentino-Alto Adige region of Italy from 1980 to 2018 at high spatial\nresolution. We use the Heat Wave Magnitude Index daily (HWMId) and the Cold\nWave Magnitude Index daily (CWMId) as the hazard indicators. To obtain HWs\nand CW risk maps we combined the following: (i) occurrence probability maps of the hazard\nobtained using the zero-inflated Tweedie distribution (accounting directly\nfor the absence of events for certain years), (ii) normalized population\ndensity maps, and (iii) normalized vulnerability maps based on eight\nsocioeconomic indicators. The methodology allowed us to disentangle the\ncontributions of each component of the risk relative to total change in\nrisk. We find a statistically significant increase in HW hazard and\nexposure, while CW hazard remained stagnant in the analyzed area over the\nstudy period. A decrease in vulnerability to extreme temperature spells is\nobserved through the region except in the larger cities where vulnerability\nincreased. HW risk increased in 40 % of the region, with the increase\nbeing greatest in highly populated areas. Stagnant CW hazard and declining\nvulnerability result in reduced CW risk levels overall, except for the four\nmain cities where increased vulnerability and exposure increased risk\nlevels. These findings can help to steer investments in local risk\nmitigation, and this method can potentially be applied to other regions\nwhere there are sufficient detailed data.\n","PeriodicalId":18922,"journal":{"name":"Natural Hazards and Earth System Sciences","volume":" ","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trends in heat and cold wave risks for the Italian Trentino-Alto Adige region from 1980 to 2018\",\"authors\":\"M. Morlot, S. Russo, L. Feyen, G. Formetta\",\"doi\":\"10.5194/nhess-23-2593-2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Heat waves (HWs) and cold waves (CWs) can have considerable impact on\\npeople. Mapping risks of extreme temperature at local scale, accounting for\\nthe interactions between hazard, exposure, and vulnerability, remains a\\nchallenging task. In this study, we quantify risks from HWs and CWs for the\\nTrentino-Alto Adige region of Italy from 1980 to 2018 at high spatial\\nresolution. We use the Heat Wave Magnitude Index daily (HWMId) and the Cold\\nWave Magnitude Index daily (CWMId) as the hazard indicators. To obtain HWs\\nand CW risk maps we combined the following: (i) occurrence probability maps of the hazard\\nobtained using the zero-inflated Tweedie distribution (accounting directly\\nfor the absence of events for certain years), (ii) normalized population\\ndensity maps, and (iii) normalized vulnerability maps based on eight\\nsocioeconomic indicators. The methodology allowed us to disentangle the\\ncontributions of each component of the risk relative to total change in\\nrisk. We find a statistically significant increase in HW hazard and\\nexposure, while CW hazard remained stagnant in the analyzed area over the\\nstudy period. A decrease in vulnerability to extreme temperature spells is\\nobserved through the region except in the larger cities where vulnerability\\nincreased. HW risk increased in 40 % of the region, with the increase\\nbeing greatest in highly populated areas. Stagnant CW hazard and declining\\nvulnerability result in reduced CW risk levels overall, except for the four\\nmain cities where increased vulnerability and exposure increased risk\\nlevels. These findings can help to steer investments in local risk\\nmitigation, and this method can potentially be applied to other regions\\nwhere there are sufficient detailed data.\\n\",\"PeriodicalId\":18922,\"journal\":{\"name\":\"Natural Hazards and Earth System Sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Hazards and Earth System Sciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.5194/nhess-23-2593-2023\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards and Earth System Sciences","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/nhess-23-2593-2023","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Trends in heat and cold wave risks for the Italian Trentino-Alto Adige region from 1980 to 2018
Abstract. Heat waves (HWs) and cold waves (CWs) can have considerable impact on
people. Mapping risks of extreme temperature at local scale, accounting for
the interactions between hazard, exposure, and vulnerability, remains a
challenging task. In this study, we quantify risks from HWs and CWs for the
Trentino-Alto Adige region of Italy from 1980 to 2018 at high spatial
resolution. We use the Heat Wave Magnitude Index daily (HWMId) and the Cold
Wave Magnitude Index daily (CWMId) as the hazard indicators. To obtain HWs
and CW risk maps we combined the following: (i) occurrence probability maps of the hazard
obtained using the zero-inflated Tweedie distribution (accounting directly
for the absence of events for certain years), (ii) normalized population
density maps, and (iii) normalized vulnerability maps based on eight
socioeconomic indicators. The methodology allowed us to disentangle the
contributions of each component of the risk relative to total change in
risk. We find a statistically significant increase in HW hazard and
exposure, while CW hazard remained stagnant in the analyzed area over the
study period. A decrease in vulnerability to extreme temperature spells is
observed through the region except in the larger cities where vulnerability
increased. HW risk increased in 40 % of the region, with the increase
being greatest in highly populated areas. Stagnant CW hazard and declining
vulnerability result in reduced CW risk levels overall, except for the four
main cities where increased vulnerability and exposure increased risk
levels. These findings can help to steer investments in local risk
mitigation, and this method can potentially be applied to other regions
where there are sufficient detailed data.
期刊介绍:
Natural Hazards and Earth System Sciences (NHESS) is an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences. Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.