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中文题名:

 未来气候情景下中国交通基础设施暴露度分析    

姓名:

 张新龙    

保密级别:

 公开    

论文语种:

 中文    

学科代码:

 083700    

学科专业:

 安全科学与工程    

学生类型:

 硕士    

学位:

 工学硕士    

学位类型:

 学术学位    

学位年度:

 2020    

校区:

 北京校区培养    

学院:

 地理科学学部    

第一导师姓名:

 杨赛霓    

第一导师单位:

 北京师范大学地理科学学部    

提交日期:

 2020-06-25    

答辩日期:

 2020-06-25    

外文题名:

 Analysis of Traffic Infrastructure Exposure Under Future Climate Scenarios in China    

中文关键词:

 极端高温 ; 干旱 ; 极端降水 ; 公路 ; 铁路 ; 暴露度    

中文摘要:

随着全球气候变化的加速,交通基础设施如何应对气候变化成为当今世界的前沿性课题。本研究采用国际耦合模式比较计划第五阶段(CMIP5)中 20 个气候模

式的试验数据,以及 OpenStreetMap 的中国公路和铁路数据,预估 2030 年和 2050 年 RCP4.5 和 RCP8.5 两种情景下的极端高温、干旱、极端降水的致灾因子强度、分布及其变化,分析极端高温、干旱、极端降水等多致灾因子下中国公路和铁路暴露度,并对不同阈值下的暴露度敏感性进行分析。研究结果如下:

1)中国极端高温呈明显上升趋势,2050 年与 2030 年的中国极端高温空间分布差异将大于 2030 年与 2015 年的差异,且 RCP8.5 与 RCP4.5 情景的差异随着时间的增长不断扩大。相比于基准时间(2015 年),中国公路对极端高温的暴露度在何种情景都将增长,且增速随着时间增大。不同高温影响阈值下的公路暴露度具有显著空间分布差异。随着时间增长,公路暴露热点区域范围将由华北向南逐渐扩张,由数个小区域逐渐融合为一个大区域,公路暴露度东部区域较西部区域严重,京津冀地区尤其高。

2)在干旱条件下,公路和铁路的暴露度与 KBDI 干旱指数的百分位数近似成正比。RCP8.5 情景下的干旱面积远远高于 RCP4.5 情景下的干旱面积,并且二者差距近似随百分位数的增大而减少。受干旱影响的地区面积和公路、铁路的暴露度将随着时间的推移而增加,干旱对基础设施的影响日益显著,特别是在华北、西南和西北地区。今后,我国公路和铁路暴露地区将主要集中在华北和西南地区, 东部地区公路暴露度较西部地区严重,京津冀地区是影响最为严重的区域。

3)随着降水指数阈值的增加,公路和铁路在极端降水中的暴露度降低。通过对不同降水指数的分析,发现在未来的同一时期,RCP8.5 情景下受极端降水影响的地区以及公路和铁路的暴露度将大大高于 RCP4.5 情景。在 RCP4.5 情景下,2030 年受极端降水影响的地区以及公路和铁路的暴露度低于2020 年,而2050年受极端降水影响的地区以及公路和铁路的暴露度高于 2020 年与 2030 年;在RCP8.5 的情况下,受极端降水影响的区域以及公路和铁路的暴露度会随着时间的推移而增加。未来,中国南方的交通系统将受到更多极端降水的影响。

4)在 RCP4.5 情景中,中国不存在同时暴露于三种灾害的地区和交通基础设施;在 RCP8.5 情景中,仅当致灾因子处于低强度时,才会有这种的多灾种暴露。在 RCP8.5 情景中,在致灾因子处于低强度的情况下,随着时间的推移,中国受三种灾害同时影响的交通基础设施暴露度将增加,多灾种影响区域主要集中在河南、四川和重庆地区。

本研究的创新点有以下两点:

1.  本研究通过计算不同阈值下交通基础设施的暴露度来分析暴露度的敏感性,改进了以往的单一阈值下暴露度评估方法,与仅计算单一阈值下的暴露度的方法相比,结果更具说服力和实用性;同时,本研究考虑了灾害强度和发生可能性,对多种灾害进行了分类,与以往的研究相比,分析结果更加科学、全面。

2.  本研究整合了多种不同的气候情景,对多灾种的未来影响进行了较为全面的分析,识别出未来的关键风险区域,为决策者和基础设施维护人员提供了详细的交通基础设施暴露,并为实际工程应用提供了科学依据。

外文摘要:

With the acceleration of global climate changing, how to deal with climate change in transportation infrastructure has become a leading issue in the world. In this study, data from 20 climate models in the Coupled Mode Intercomparison Project 5 (CMIP5), as well as road and rail data from OpenStreetMap in China were used. In this study, the intensity, distribution and changes of extreme heat, drought, extreme rainfall under the two scenarios of RCP4.5 and RCP8.5 in 2030 and 2050 were estimated. This study analyzed the exposure of China's roads and railways to extreme heat, drought, extreme precipitation. The sensitivity of exposure under different thresholds was analyzed. The research results of this paper are as follows:

(1)  China's extremely high temperature has a clear upward trend, and the difference in extreme high-temperature spatial distribution between 2050 and 2030 will be greater than the difference between 2030 and 2015, and the difference between RCP8.5 and RCP4.5 scenarios grow over time; compared with the benchmark time (2015), the exposure of China's highways to extreme temperatures will increase regardless of the scenarios, and the growth rate will increase with time; there are significant differences in highway exposure under different high-temperature impact thresholds; With the growth of time, the hot spots of road exposure will gradually expand from North China to the south and gradually merge into a large region from several small regions. The road exposure in the eastern region is more serious than that in the western region, especially in the Beijing-Tianjin-Hebei region.

(2)  Road and rail exposure under drought is approximately proportional to the quantile of KBDI index. The arid area in the RCP8.5 scenario is much higher than that in the RCP4.5 scenario, and the difference between the two in the lower percentile of the threshold value is greater than the difference in the higher percentile of the threshold value. The difference between them in the low quantile is larger than that in the high quantile. The drought affected areas and road and rail exposure increased over time. The impact of the drought on infrastructure will be increasingly significant, particularly in northern, southwestern and northwestern China. In the future, China's road exposure is mainly in north China and southwest China, and the road exposure in the eastern region is more serious than that in the western region, and the Beijing-Tianjin-Hebei region is the most serious.

(3)  The road and rail exposure under heavy rain and flood decreases with the increase of the index threshold. A number of indexes indicate that in the future, under the same period, the areas affected by heavy rain and flood and the road and railway exposure under the scenario of RCP8.5 are significantly higher than that under the scenario of RCP4.5. Under the scenario of RCP4.5, the areas affected by heavy rain and flood in 2030 and the exposure of road and railway are lower than those in 2020. The areas affected by heavy rains and floods in 2050 and the exposure of roads and railways are higher than that in 2020 and 2030. Under the scenario of RCP8.5, the areas affected by extreme precipitation and the exposure of road and railway increased with time. In the future, south China will be greatly affected by extreme precipitation.

(4)  Under the scenario of RCP4.5, there is no regional and transportation infrastructure exposed to multiple disasters in China in the future. Under the scenario of RCP8.5, only under the condition of low intensity of the disaster-causing factor, there are three disasters affecting the exposure of regional and transportation infrastructure. Under the scenario of RCP8.5, the exposure of China's multi-disaster affected areas and transportation infrastructure will increase with time under the condition of low intensity. The affected areas and traffic exposure are mainly concentrated in Henan, Sichuan and Chongqing regions.

The innovations of this study are as follows:

1.         This study analyzed the sensitivity of exposure degree by calculating the exposure degree of traffic infrastructure under different thresholds, and improved the previous assessment method of exposure degree under a single threshold. Compared with the method of only calculating the exposure degree under a single threshold, the results were more convincing and practical. At the same time, this study takes into account the intensity and possibility of disasters, and classifies a variety of disasters. Compared with previous studies, the analysis results are more scientific and comprehensive.

2.         In terms of application, this study integrates a variety of different climate scenarios, conducts a comprehensive analysis of the natural disasters studied, identifies key risk areas for the future, provides detailed transportation infrastructure exposure for policy makers and infrastructure maintenance personnel, and provides scientific basis for practical engineering applications.

参考文献总数:

 78    

馆藏号:

 硕083700/20005    

开放日期:

 2021-06-25    

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