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Changes in flood damage with global warming on the eastern coast of Spain

机译:西班牙东海岸全球变暖的洪水损伤变化

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Flooding is one of the main natural hazards in the world and causes huge economic and human impacts. Assessing the flood damage in the Mediterranean region is of great importance, especially because of its large vulnerability to climate change. Most past floods affecting the region were caused by intense precipitation events; thus the analysis of the links between precipitation and flood damage is crucial. The main objective of this paper is to estimate changes in the probability of damaging flood events with global warming of 1.5, 2 and 3 degrees C above pre-industrial levels and taking into account different socioeconomic scenarios in two western Mediterranean regions, namely Catalonia and the Valencian Community. To do this, we analyse the relationship between heavy precipitation and flood-damage estimates from insurance datasets in those two regions. We consider an ensemble of seven regional climate model (RCM) simulations spanning the period 1976-2100 to evaluate precipitation changes and to drive a logistic model that links precipitation and flood-damage estimates, thus deriving statistics under present and future climates. Furthermore, we incorporate population projections based on five different socioeconomic scenarios. The results show a general increase in the probability of a damaging event for most of the cases and in both regions of study, with larger increments when higher warming is considered. Moreover, this increase is higher when both climate and population change are included. When population is considered, all the periods and models show a clearly higher increase in the probability of damaging events, which is statistically significant for most of the cases.
机译:洪水是世界的主要自然灾害之一,并导致巨大的经济和人类的影响。评估地中海地区的洪水损害具有重要意义,特别是因为它对气候变化的大量脆弱性。影响该地区的大多数过去的洪水是由强烈降水事件引起的;因此,降水与洪水损伤之间的联系的分析至关重要。本文的主要目标是估算洪水事件的概率变化,全球变暖为1.5,2和3摄氏度,并考虑到两种西部地中海地区的不同社会经济情景,即加泰罗尼亚及其瓦伦西亚社区。为此,我们分析了这两个地区保险数据集的重度降水量和洪水损坏估计之间的关系。我们考虑七个区域气候模型(RCM)模拟的合奏,跨越1976年至2001年期间的跨越,以评估降水变化,并推动链接降水和洪水损害估计的后勤模型,从而导出目前和未来气候下的统计数据。此外,我们根据五种不同的社会经济情景纳入人口预测。结果表明,对于大多数病例和两种研究区域,造成破坏性事件的概率的一般性增加,当考虑更高的变暖时,具有较大的增量。此外,当包括气候和人口变化时,这种增加更高。当考虑人口时,所有时期和模型都会显然越来越高,损坏事件的概率显然,这对于大多数情况来说是统计学意义。

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