1979 年至 2021 年墨西哥湾热带风暴极端降雨量的时空分布情况

IF 3.9 3区 环境科学与生态学 Q1 ENGINEERING, CIVIL Stochastic Environmental Research and Risk Assessment Pub Date : 2024-05-28 DOI:10.1007/s00477-024-02742-y
Jae Yeol Song, Eun-Sung Chung
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引用次数: 0

摘要

大西洋热带气旋经常伴有强降雨,导致美国内陆和沿海地区洪水泛滥,而风暴引起的降雨与其风暴规模、移动和位置密切相关。为了更好地进行区域洪水或风险分析,了解热带风暴(TS)诱发的极端降雨的特征和分布至关重要。本研究为指定的四分位数风暴提出了无量纲降雨持续时间曲线,该曲线代表了 1979 年至 2021 年墨西哥湾由热带风暴引起的极端降雨的时间分布。我们的研究采用了时空分析方法,根据卫星气候强迫数据和飓风路径记录计算 TS 位于海外和内陆时的降雨量,采用年度最大值方法定义 TS 引发的极端降雨事件,并采用指定的路径类型根据其轨迹对事件进行分类。结果发现,与墨西哥湾 TS 有关的极端降雨量,内陆地区要比海外地区高得多。在内陆地区,大部分 TS 都是第 1 和第 2 四分位数风暴。然而,与其他四分位数的暴雨相比,第三四分位数的暴雨虽然罕见,但每次持续时间的降雨量却是最大的。在海外,超过一半的 TS 为第 4 四分位数暴雨,而第 2 四分位数暴雨的单位时间总降雨量更高。空间分析表明,得克萨斯州、路易斯安那州、密西西比州、佛罗里达州和南卡罗来纳州被确定为受 TS 引发的极端降雨威胁较大的地区。
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Temporal and spatial distribution of extreme rainfall from tropical storms in the Gulf of Mexico from 1979 to 2021

Atlantic tropical cyclones often associate with heavy rainfall, which causes inland- and coastal-flooding in the United States, and the storm-induced rainfall is closely related to its storm scale, movement, and location. For a better performance in flood or risk analysis in a region, understanding the characteristics and distribution of tropical storm (TS) induced extreme rainfall is essential. This study proposes dimensionless rainfall-duration curves for designated four-quartile storms that represents the temporal distribution of TS induced extreme rainfall in the Gulf of Mexico from 1979 to 2021. Our study employs spatiotemporal analysis to compute rainfall while TSs are located overseas and inland from satellite based climate forcing data and hurricane track records, annual maximum approach to define TS induced extreme rainfall events, and designated track types to categorize events based on their trajectories. As a result, extreme rainfall relating to TSs in the Gulf of Mexico are found to be considerably higher in inland than overseas. For inland, majority of the TSs was found to be the 1st- and 2nd-quartile storms. However, the 3rd-quartile storms, which case are rare, were found to have the overall largest amount of rainfall per duration compared to the other quartile storms. As for overseas, more than half of the TSs were found to be the 4th-quartile storm while the 2nd-quartile storm has higher overall rainfall per duration. Spatial analysis shows that Texas, Louisiana, Mississippi, Florida, and South Carolina are determined as high-threatened areas by TS induced extreme rainfall.

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来源期刊
CiteScore
7.10
自引率
9.50%
发文量
189
审稿时长
3.8 months
期刊介绍: Stochastic Environmental Research and Risk Assessment (SERRA) will publish research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, including interactions of earth and atmospheric environments with people and ecosystems. The basic idea is to bring together research papers on stochastic modelling in various fields of environmental sciences and to provide an interdisciplinary forum for the exchange of ideas, for communicating on issues that cut across disciplinary barriers, and for the dissemination of stochastic techniques used in different fields to the community of interested researchers. Original contributions will be considered dealing with modelling (theoretical and computational), measurements and instrumentation in one or more of the following topical areas: - Spatiotemporal analysis and mapping of natural processes. - Enviroinformatics. - Environmental risk assessment, reliability analysis and decision making. - Surface and subsurface hydrology and hydraulics. - Multiphase porous media domains and contaminant transport modelling. - Hazardous waste site characterization. - Stochastic turbulence and random hydrodynamic fields. - Chaotic and fractal systems. - Random waves and seafloor morphology. - Stochastic atmospheric and climate processes. - Air pollution and quality assessment research. - Modern geostatistics. - Mechanisms of pollutant formation, emission, exposure and absorption. - Physical, chemical and biological analysis of human exposure from single and multiple media and routes; control and protection. - Bioinformatics. - Probabilistic methods in ecology and population biology. - Epidemiological investigations. - Models using stochastic differential equations stochastic or partial differential equations. - Hazardous waste site characterization.
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