利用新的对流许可气候预测分析城市洪水的未来变化

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
L. Archer, S. Hatchard, L. Devitt, J. C. Neal, G. Coxon, P. D. Bates, E. J. Kendon, J. Savage
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引用次数: 0

摘要

据预测,在气候变化的影响下,英国的降雨强度将增加,这将对降雨引起的(冲积和河道综合)洪水产生重大影响。在英国,尽管众所周知降雨的空间和时间特征对冲积洪水的产生非常重要,但目前推荐的估算气候变化下冲积洪水危害变化的最佳做法是对空间上均匀的集水区降雨采用简单的百分比上浮。UKCP 地方对流许可模型(CPM)首次提供了利用每小时 2.2 千米 CPM 降水数据评估洪水危害变化的能力,这些数据在空间和时间上都存在差异。在此,我们使用英国三个地方流域观测站(UKCP Local epochs,1981-2000 年、2021-2040 年和 2061-2080 年)的 13500 个降水事件的事件集,在英国布里斯托尔和巴斯 750 平方公里的区域内,使用 20 米分辨率的 LISFLOOD-FP 水动力模型模拟降雨驱动的洪水。我们发现,在近期(2021-2040 年)和未来(2061-2080 年)气候变化的情况下,事件集法和隆起法都表明洪水危害会增加。然而,与上浮法相比,事件集法得出的洪水危害估计值明显更高,根据重现期的不同,高出 19% 到 49%。这表明,在降雨驱动的洪水模型中包含完整的时空降雨变异性及其未来变化对于未来洪水风险评估至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Future Change in Urban Flooding Using New Convection-Permitting Climate Projections
Rainfall intensity in the United Kingdom is projected to increase under climate change with significant implications for rainfall-driven (combined pluvial and fluvial) flooding. In the UK, the current recommended best practice for estimating changes in pluvial flood hazard under climate change involves applying a simple percentage uplift to spatially uniform catchment rainfall, despite the known importance of the spatial and temporal characteristics of rainfall in the generation of pluvial floods. The UKCP Local Convective Permitting Model (CPM) has for the first time provided the capacity to assess changes in flood hazard using hourly, 2.2 km CPM precipitation data that varies in space and time. Here, we use an event set of ∼13,500 precipitation events across the three UKCP Local epochs (1981–2000, 2021–2040, and 2061–2080) to simulate rainfall-driven flooding using the LISFLOOD-FP hydrodynamic model at 20 m resolution over a 750 km2 area of Bristol and Bath, UK. We find that both the event set and uplift approaches indicate an increase in flood hazard under near-term (2021–2040) and future (2061–2080) climate change. However, the event set produces markedly higher estimates of flood hazard when compared to the uplift approach, ranging from 19% to 49% higher depending on the return period. This suggests including the full spatiotemporal rainfall variability and its future change in rainfall-driven flood modeling is critical for future flood risk assessment.
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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