Impacts of Urbanization on the Riverine Flooding in Major Cities Across the Eastern United States

IF 2.9 3区 地球科学 Q1 Environmental Science Hydrological Processes Pub Date : 2024-12-26 DOI:10.1002/hyp.70027
Renato Amorim, Gabriele Villarini
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Abstract

The increase in the societal and economic impacts of flooding across the eastern United States has brought attention to the potential link between long-term increases in urban areas and changes in the watersheds' flood response. One outstanding challenge is to isolate the effects of land cover changes from other flood-related factors. To advance our understanding of these processes and their nexus, we utilise a statistical framework in which we use different parameterizations of the Generalised Pareto distribution (GPD) to model sub-daily peak-over-threshold (POT) events at 102 stream gauges in the following metropolitan areas across the eastern United States: Boston, New York, Philadelphia, Baltimore, Charlotte, Atlanta, Houston, and Tampa. While we keep the shape parameter constant, we allow the scale parameter to: (1) be constant; (2) depend on hourly accumulated rainfall; or (3) be dependent on a combination of hourly accumulated rainfall and the temporal changes in the percentage of the watershed's developed land. Based on our modelling results, we select the model with the land change as a predictor in only 3% of the watersheds. Moreover, the model configuration in which rainfall is the only predictor is selected the most frequently (~80% of the sites) across the eight metropolitan regions. Therefore, our findings indicate that rainfall is the key flood driver in urban basins across the eastern United States considered in this study, without clear evidence linking long-term changes of impervious area (i.e., urbanisation) and the watersheds' flood response.

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城市化对美国东部主要城市河流洪水的影响
洪水对美国东部的社会和经济影响的增加引起了人们对城市地区长期增长与流域洪水响应变化之间潜在联系的关注。一个突出的挑战是将土地覆盖变化的影响与其他与洪水有关的因素分离开来。为了提高我们对这些过程及其联系的理解,我们利用一个统计框架,在这个框架中,我们使用广义帕累托分布(GPD)的不同参数化来模拟美国东部以下大都市地区的102个流量计的次日峰值超过阈值(POT)事件:波士顿、纽约、费城、巴尔的摩、夏洛特、亚特兰大、休斯顿和坦帕。当我们保持形状参数不变时,我们允许尺度参数:(1)保持不变;(2)依赖逐时累积雨量;或者(3)依赖于每小时累积降雨量和流域已开发土地百分比的时间变化的组合。基于我们的建模结果,我们选择了仅在3%的流域中使用土地变化作为预测因子的模型。此外,以降雨为唯一预测因子的模型配置在8个大都市区中被选择的频率最高(约占80%)。因此,我们的研究结果表明,降雨是本研究中考虑的美国东部城市流域的主要洪水驱动因素,没有明确的证据将不透水面积的长期变化(即城市化)与流域的洪水响应联系起来。
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来源期刊
Hydrological Processes
Hydrological Processes 环境科学-水资源
CiteScore
6.00
自引率
12.50%
发文量
313
审稿时长
2-4 weeks
期刊介绍: Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.
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