多源雷达遥感协同的鄱阳湖流域洪水淹没历时估算

doi:10.7523/j.ucas.2021.0079

中国科学院大学学报 ›› 2023, Vol. 40 ›› Issue (4): 486-495.DOI: 10.7523/j.ucas.2021.0079

多源雷达遥感协同的鄱阳湖流域洪水淹没历时估算

张若旭^1,2, 李小涛², 江威^2,3, 张丽萍¹, 邓清海¹, 宋小宁⁴

1 山东科技大学地球科学与工程学院, 山东青岛 266590;
2 中国水利水电科学研究院, 北京 100038;
3 中国再保险(集团)股份有限公司博士后工作站, 北京 100033;
4 中国科学院大学资源与环境学院, 北京 100049

收稿日期:2021-10-26 修回日期:2021-12-03 发布日期:2021-12-16
通讯作者: 李小涛,E-mail:lixt@iwhr.com
基金资助:
国家重点研发计划课题（2017YFB0504105）资助

Estimation of flood inundation duration using multi-source radar remote sensing in Poyang Lake basin

ZHANG Ruoxu^1,2, LI Xiaotao², JIANG Wei^2,3, ZHANG Liping¹, DENG Qinghai¹, SONG Xiaoning⁴

1 College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, China;
2 China Institute of Water Resources and Hydropower Research, Beijing 100038, China;
3 Postdoctoral Workstation of China Reinsurance (Group) Corporation, Beijing 100033, China;
4 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2021-10-26 Revised:2021-12-03 Published:2021-12-16

摘要/Abstract

摘要： 洪水淹没历时是洪涝灾害损失评估的关键变量，为满足大尺度洪涝灾害遥感应急监测和灾损评估需求，亟需构建一种利用多源密集雷达遥感的流域洪水淹没历时估算方法。以2020年长江中下游鄱阳湖流域性洪水为例，综合利用国内外多源密集时相的雷达遥感数据，对鄱阳湖流域周边受灾地区的洪水淹没范围进行提取，在此基础上构建基于遥感的洪水淹没历时估算模型，并依据乡镇级平均淹没历时和水稻的淹没时长-产量损失关系对鄱阳湖周边地区进行洪涝灾情评估。结果表明：密集时相洪水淹没范围提取结果的Kappa系数高于0.89，流域洪水淹没历时为1~44 d，鄱阳湖流域周边地区受灾极其严重乡镇为新建县南矶乡、鄱阳县昌洲乡和永修县三角乡，重灾区为鄱阳镇、莲湖乡、蛟塘镇等，绝大部分地区为水稻不同程度减产的中度灾区，评估结果与实际灾情基本一致。本文提出的淹没历时计算和灾情评估方法具有大尺度、高频次和准确性等优势，可为流域性洪涝灾害应急监测和灾损评估提供支撑。

关键词: 淹没历时, 多源雷达遥感数据, 流域性洪水, 灾情评估

Abstract: To investigate flood disaster damage at large-scale, it is necessary to propose inundation duration estimation method using multi-source radar remote sensing data. Firstly, Poyang Lake basin flood located in middle of the Yangtze River is taken as study area; and then, multi-temporal radar remote sensing data are collected to extract flood inundation areas using random forest model; moreover, inundation duration is calculated at Poyang Lake basin using the estimation model of inundation duration with multi-temporal inundation areas; finally, the flood disaster assessment is conducted using average inundation duration and relationship of inundation duration and the yield loss degree of rice. The results show that:1) the Kappa coefficients of the flood inundation extracted area are higher than 0.89 and the basin flood inundation lasts 1-44 days; 2) extremely severely flood affected at township scale locate at Nanji, Changzhou, Sanjiao and the most severely flood affected areas mainly locate at Poyang, Lianhu, and Jiaotang. The majority of areas are classified as moderately affected and the assessment results are consistent with the actual disaster damage situation. The proposed inundation duration estimation method has the advantages of large scale monitoring with high frequency, which can provide support for basin flood emergency monitoring and rapid disaster damage assessment.

Key words: inundation duration, multi-source radar remote sensing data, basin flood, flood disaster assessment

中图分类号:

TP79
TV122

张若旭, 李小涛, 江威, 张丽萍, 邓清海, 宋小宁. 多源雷达遥感协同的鄱阳湖流域洪水淹没历时估算[J]. 中国科学院大学学报, 2023, 40(4): 486-495.

ZHANG Ruoxu, LI Xiaotao, JIANG Wei, ZHANG Liping, DENG Qinghai, SONG Xiaoning. Estimation of flood inundation duration using multi-source radar remote sensing in Poyang Lake basin[J]. Journal of University of Chinese Academy of Sciences, 2023, 40(4): 486-495.

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多源雷达遥感协同的鄱阳湖流域洪水淹没历时估算

Estimation of flood inundation duration using multi-source radar remote sensing in Poyang Lake basin

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