首页|1976-2020年黄河入海口滩区水体演变过程及淹没风险识别

1976-2020年黄河入海口滩区水体演变过程及淹没风险识别

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黄河流域生态保护和高质量发展已成为国家战略,对黄河入海口滩区水体范围进行动态监测研究,避免水体演变所衍生出的潜在淹没风险具有重要意义.通过获取长时序丰水期Landsat系列遥感卫星影像数据集,采用基于决策树的多指数陆表水体提取方法,获取黄河入海口滩区1976-2020 年10 个研究时点的最大水体范围,并通过叠加分析计算各个区域历史淹没频次,进而识别城镇村庄居民点和采矿用地淹没风险.研究结果表明,10 个研究时点中被淹没 5 次以上的区域为 463.7 km2,以 2015 年共 631 个城镇村庄居民点和采矿用地为例,低淹没风险 413个,中淹没风险 52 个,高淹没风险 20 个.黄河入海口滩区城镇村庄居民点等建设用地应明确迁建需求,科学迁建选址,完善基础设施.
Evolutionary process and inundation risk identification of water bodies in the beach area of the Yellow River estuary from 1976 to 2020
The ecological protection and high-quality development of the Yellow River basin has become a national strategy.Hence,conducting dynamic monitoring research on the extent of water bodies in the beach area of the Yellow River estuary to avoid potential inundation risks from the evolution of water bodies holds critical significance.Based on the Landsat remote sensing image dataset for wet seasons in the long term,this study extracted the maximum water body extents in the beach area of the Yellow River estuary at 10 time points from 1976 to 2020 using the decision tree-based multi-index land surface water body extraction method.Moreover,this study calculated the historical inundation frequency of each zone through overlay analysis,further identifying the inundation risks of urban and rural settlements and mining land.The findings reveal an area of 463.7 km2 inundated over five times at 10 time points.Among 631 urban and rural settlements and mining land in 2015,413,52,and 20 exhibited low,medium,and high inundation risks,respectively.Overall,it is necessary to specify the relocation requirements,scientifically select relocation sites,and improve the infrastructure targeting construction land like urban and rural settlements in the beach area of the Yellow River estuary.

Yellow River estuaryYellow River beach arearemote sensing technologywater body extentinun-dation risk

刘稼丰、张文凯、杜晓敏、冀欣阳、杨金中、范景辉、孙禧勇、佟晶

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中国自然资源航空物探遥感中心,北京 100083

自然资源部数字制图与国土信息应用重点实验室,武汉 430079

黄河入海口 黄河滩区 遥感技术 水体范围 淹没风险

自然资源部数字制图与国土信息应用重点实验室开放研究项目中国地调局项目

ZRZYBWD202207DD20230100

2024

自然资源遥感
中国国土资源航空物探遥感中心

自然资源遥感

CSTPCD北大核心
影响因子:1.275
ISSN:2097-034X
年,卷(期):2024.36(2)
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