长沙理工大学学报(自然科学版)
基于Sentinel-1A SAR影像的珠海市台风降雨淹没特征分析
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(1. 长沙理工大学 水利与环境工程学院,湖南 长沙 410114;2. 洞庭湖水环境治理与生态修复湖南省重点实验室,湖南 长沙 410114;3. 水沙科学与水灾害防治湖南省重点实验室,湖南 长沙 410114;4. 湖南工业大学,湖南 株洲 412007)

作者简介:

通讯作者:

陈杰(1982—)(ORCID:0000-0002-9930-0323),男,教授,主要从事海岸防灾减灾研究。 E-mail:chenjie166@163.com

中图分类号:

TP79;TV8

基金项目:

湖南省自然科学杰出青年基金(2022JJ10047);国家自然科学基金资助项目(52271257)


Inundation characteristics of typhoon-induced rainfall in Zhuhai based on Sentinel-1A SAR images
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(1. School of Hydraulic and Environmental Engineering, Changsha University of Science & Technology, Changsha 410114,China; 2. Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province, Changsha 410114,China; 3. Key Laboratory of Water-Sediment Sciences and Water Disaster Prevention of Hunan Province, Changsha 410114,China;4. Hunan University of Technology, Zhuzhou 412007,China)

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    摘要:

    【目的】基于雷达遥感卫星影像,探究珠海市城区在台风降雨条件下的淹没特征,解决台风过境时无法准确获取淹没范围的问题。【方法】首先,选用Sentinel-1A卫星的合成孔径雷达(synthetic aperture radar,SAR)影像和全球地表水年度数据集,利用阈值分割法和双极化水体指数来获取对应时间段珠海市主城区的淹没范围;然后,结合数字高程模型和土地利用类型数据,并利用ArcGIS平台对珠海市2015—2022年间的10场过境台风降雨所造成的淹没范围进行空间特征与成因分析。最后,结合层次分析法,并利用淹没可能性、防潮洪能力、高程和河网密度4项指标对珠海市主城区台风降雨淹没风险进行分析。【结果】在台风和非台风降雨导致淹没的范围中,斗门区为淹没面积最大的行政区。珠海市河网密度较大区域发生淹没最为频繁,其次是城乡居民用地;珠海市部分区域受台风降雨影响易发生淹没,淹没风险偏高。【结论】利用Sentinel-1A SAR影像并结合双极化水体指数可获得较为准确的台风降雨淹没范围,在台风过境时应更加关注高程较低地区以及水系分布较密地区的受灾情况。

    Abstract:

    [Purposes] Based on radar remote sensing satellite images, this paper aims to explore the inundation characteristics of typhoon-induced rainfall in urban areas of Zhuhai City, so as to solve the problem of not being able to accurately obtain the inundation scope during the passage of a typhoon. [Methods] Firstly, Sentinel-1A synthetic aperture radar (SAR) images and an annual dataset of global surface water were selected to obtain the inundation scope in the main urban area of Zhuhai City in the corresponding time period by using the threshold segmentation method and the dual-polarized water index. Then, combined with the digital elevation model and the land-use type data, the spatial characteristics and causes of inundation scopes caused by rainfalls during the passage of 10 typhoons from 2015 to 2022 were analyzed by using the ArcGIS platform. Through the hierarchical analysis method, the inundation risk in the main urban area of Zhuhai City caused by typhoon-induced rainfalls was analyzed in terms of inundation possibility, tidal flood control capacity, elevation, and river network density.[Findings] In the inundation scopes generated by typhoon-induced and non-typhoon-induced rainfalls, Doumen District is the administrative district with the largest inundation area, and inundation is the most frequent in the areas with denser river networks in Zhuhai City, followed by urban and rural residential land use; some areas in Zhuhai City are susceptible to inundation due to the impacts of typhoon-induced rainfall, and the inundation risk is high.[Conclusions] Using Sentinel-1A SAR images combined with a dual-polarized water index can obtain more accurate information on the inundation scope of typhoon-induced rainfall. During the passage of typhoons, more attention should be paid to the disaster situation in areas with low elevation and areas with dense water system distribution.

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陈杰,谭璐,蒋昌波,等.基于Sentinel-1A SAR影像的珠海市台风降雨淹没特征分析[J].长沙理工大学学报(自然科学版),2024,21(6):1-13.
CHEN Jie, TAN Lu, JIANG Changbo, et al. Inundation characteristics of typhoon-induced rainfall in Zhuhai based on Sentinel-1A SAR images[J]. Journal of Changsha University of Science & Technology (Natural Science),2024,21(6):1-13.

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  • 收稿日期:2024-05-02
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  • 在线发布日期: 2025-01-15
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