利用 CMIP6 气候模型评估气候变化对泰国那空四塔玛拉府山体滑坡复发间隔的影响

IF 2.6 Q3 ENVIRONMENTAL SCIENCES
Thapthai Chaithong
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引用次数: 0

摘要

气候多变性和气候变化可能会影响山体滑坡的频率和复发间隔。降水作为山体滑坡的主要触发因素,可能会受到气候多变性和气候变化的影响。降水量的变化可能会直接影响滑坡的频率和复发间隔。考虑到气候多变性和气候变化的影响,将部分持续序列法和临界降雨阈值与耦合模式相互比较项目(CMIP6)第 6 阶段大气环流模式(GCMs)的模拟降水量相结合,预测了泰国那空四塔玛拉府未来滑坡复发间隔的变化。分析结果预测了未来 20 年(2023 年至 2042 年)滑坡频率的变化。采用 SSP1-2.6 和 SSP2-4.5 作为未来社会经济发展情景。预测结果表明,未来滑坡发生的重现期将短于历史上滑坡发生的重现期,而且滑坡的重现间隔将出现大幅波动。在 SSP1-2.6 条件下,呵叻府 DWR 气象站的滑坡重现期波动最大。此外,在 SSP1-2.6 条件下,呵叻府气象站的滑坡复发间隔大幅减少了约 35%。对于 SSP2-4.5,那空诗府气象站的滑坡重现期波动最大。此外,呵坤府气象站观测到的滑坡重现期间隔也有所下降,降幅约为 40%。因此,未来滑坡发生的频率可能会增加。对 SSP1-2.6 和 SSP2-4.5 进行比较后发现,SSP2-4.5 的滑坡重现期较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the impact of climate change on landslide recurrence intervals in Nakhon Si Thammarat Province, Thailand, using CMIP6 climate models

Climate variability and climate change may influence the frequency and recurrence interval of landslides. Precipitation, as a main triggering factor of landslides, may be influenced by climate variability and climate change. Changes in precipitation may directly affect landslide frequency and recurrence intervals. Considering the influence of climate variability and climate change, the partial duration series method and critical rainfall threshold are combined with the simulated precipitation of Phase 6 of the Coupled Model Intercomparison Project (CMIP6) general circulation models (GCMs) to predict changes in future landslide recurrence intervals in Nakhon Si Thammarat Province, Thailand. The analytical results predicted changes in the landslide frequency over the next 20 years (2023 to 2042). SSP1–2.6 and SSP2–4.5 are adopted as future socioeconomic development scenarios. According to the predictions, the results showed that the return period of landslide occurrence in the future will be shorter than the return period of landslide occurrence in the historical period; moreover, the landslide recurrence interval will fluctuate greatly. The Nakhon Si Thammarat DWR meteorological station shows the most fluctuation in landslide recurrence intervals for SSP1–2.6. In addition, the Nakhon Si Thammarat meteorological Station experiences a significant decrease of approximately 35% in landslide recurrence intervals under SSP1–2.6. For SSP2–4.5, the Nakhon Si Thammarat meteorological station shows the most fluctuation in landslide return period. In addition, the Nakhon Si Thammarat meteorological station observed a decline in landslide recurrence intervals, with a reduction of approximately 40%. Hence, the frequency of landslides may increase in the future. A comparison between SSP1–2.6 and SSP2–4.5 revealed that SSP2–4.5 yielded lower landslide return periods.

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来源期刊
Progress in Disaster Science
Progress in Disaster Science Social Sciences-Safety Research
CiteScore
14.60
自引率
3.20%
发文量
51
审稿时长
12 weeks
期刊介绍: Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.
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