基于RCP 4.5和RCP 8.5模式情景的布拉格2000 - 2100年气候预警分析

Smart City Pub Date : 2022-08-18 DOI:10.56940/sc.v2.i1.4
Risty Khoirunisa
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引用次数: 2

摘要

在过去的几十年里,城市地区的人口数量急剧增加。根据《2018年世界城市化展望修订版》,更多的人生活在城市地区,2018年约占世界人口的55%,预计到2050年将占全球人口的三分之二。随着世界经济的持续增长,土地需要被改造,因此森林砍伐发生了。如果这种情况持续下去,温室气体排放量将会增加,未来气候变化将成为威胁。因此,通过模式情景了解未来气候将如何变化变得至关重要。该研究将从气候的三个方面进行评估,即降水,近地表气温和最大风速在布拉格市,这个城市人口稠密,是热门的旅游目的地之一。目标是根据这三个方面分析未来的气候,并预测未来几年可能出现的未来危害。研究结果可作为城市预警系统的基础。采用区域模型RCA4中稳定情景为4.5,悲观情景为8.5的受体集中路径(RCP)情景。研究发现,在2060年之前的几年里,基于模型情景RCP 8.5,布拉格将面临更多的城市洪水。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasted Climate Analysis from 2000 to 2100 Using RCP 4.5 and RCP 8.5 Model Scenario as A Hazard Early-Warning System in Prague City, Czech Republic
In the last decades, the increasing number of populations in urban areas is dramatically increased. According to the to the 2018 Revision of World Urbanization Prospects more people live in urban areas, around 55 percent of the world’s population in 2018 and are projected into two thirds of global population in 2050. As the world continues to growth, the lands need to be converted thus deforestation happen. If this continues, the greenhouse gas emission will increase and the climate change will become a threat in the future. Therefore, it become essential to understand how the climate will change in the future through model scenario. The study will asses from three aspects of climate, namely, precipitation, near surface air temperature and maximum wind speed in Prague City, the city that was heavily populated and one of popular destinations for tourism. The objectives were to analyse the future climate based on these three aspects and predict what future hazard which might come n the upcoming years. The outcome can be a basis for early-warning system in urban areas. The methods were employed by using Recipient Concentration Pathways (RCP) scenario of 4.5 as stabilization scenario and 8.5 as pessimistic scenario in Regional Model RCA4. The study found that in several years until 2060, Prague will face more urban flooding based on the model scenario RCP 8.5.
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