Estimating the daily flooding probability by the compound effect of rainfall and tides in an Amazonian metropolis

IF 6 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES
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Abstract

Belém, the capital of the state of Pará, host of the 30th UN Climate Change Conference (COP30), which is located in the Brazilian Amazon, suffers from flooding caused by rainfall and tides. The objective was to estimate the daily flooding probability in Belém based on the two assumptions, i.e., the compound effect of rainfall and tides and rainfall only. In this case, rainfalls were analysed considering intensity and duration. Thus, it was possible to evaluate the flooding probability for each assumption and propose technological solutions to reduce this probability. Rainfall and tide height data for the 2003 to 2021 period were used. The minimum level causing flooding was defined analysing the compound effect (rainfall + tide height). The effects of rainfall and tides were also separately analysed with the aim of isolating the entry of tides into city canals. The daily flooding probability was estimated based on the study of the a priori probability derived from the ratio between the number of flooding events and the number of possible floods. The results showed that certain areas of Belém-PA could be flooded with a minimum value of rainfall plus tide height is 640.4 mm, if the rainfall intensity reaches at least 30 mm/h. Regarding the rainfall duration, the minimum value of rainfall plus tide height is 1398 mm for flooding to occur if rainfall lasts at least two hours. The flooding events were validated by examining local newspaper reports and photographic records describing and capturing flooding, respectively. The highest daily flooding probability occurred during the wettest period in the city, from January to May. The daily flooding probability was greatly reduced when only rainfall was considered. Thus, if city canals encompass floodgate systems, flood damage could be reduced. A floodgate systems project would be an important COP30 legacy for Belém. This system could help reduce the losses suffered by the poorest populations in Belém, who live in floodplain areas.

通过降雨和潮汐的复合效应估算亚马逊大都市的日洪水概率
第 30 届联合国气候变化大会(COP30)东道国帕拉州首府贝伦位于巴西亚马逊地区,降雨和潮汐导致洪水泛滥。我们的目标是根据两种假设,即降雨和潮汐的复合效应以及仅降雨,估算贝伦每天发生洪水的概率。在这种情况下,分析降雨量时考虑了降雨强度和持续时间。因此,可以对每种假设的洪水概率进行评估,并提出降低洪水概率的技术解决方案。使用的是 2003 年至 2021 年期间的降雨量和潮汐高度数据。通过分析复合效应(降雨+潮汐高度),确定了导致洪水的最低水位。此外,还对降雨和潮汐的影响进行了单独分析,目的是隔离潮汐进入城市运河的情况。根据对洪水事件数量与可能发生的洪水数量之比得出的先验概率的研究,估算了每日洪水发生概率。结果表明,如果降雨强度至少达到 30 毫米/小时,贝伦-帕拉州的某些地区可能会在降雨量加上潮汐高度的最小值为 640.4 毫米时被洪水淹没。在降雨持续时间方面,如果降雨持续至少两小时,洪水发生的最小降雨量加潮高值为 1398 毫米。洪水事件是通过检查当地报纸报道和照片记录来验证的。在该市最潮湿的 1 月至 5 月期间,每天发生洪水的概率最高。如果只考虑降雨量,则日洪水概率会大大降低。因此,如果城市运河包含泄洪闸系统,就可以减少洪水造成的损失。水闸系统项目将是 COP30 为贝伦留下的重要遗产。该系统可帮助减少居住在洪泛区的贝伦最贫困人口遭受的损失。
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来源期刊
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
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