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水文站点约束下的平原主体型河网提取方法OA

Extraction Method for Plain-dominated River Networks under Hydrological Station Constraints

中文摘要英文摘要

平原地区地形平坦、水流方向模糊,导致传统基于数字高程模型(DEM)的河网提取方法存在显著精度局限.针对这一技术难题,提出了一种融合DEM高程扰动增强与水文测站地理信息校正的河网提取方法.首先,通过平原地形识别、高程扰动增强和填洼等预处理优化原始DEM数据;随后,结合水文测站的空间分布信息,对生成的河网进行流向与结构优化.对比试验表明:①高程扰动增强可提升干流和支流识别准确度及河网连续性;②通过测站的引入,能够有效校正河道位置与拓扑结构,且站点数量对河网提取精度影响显著;③与传统方法相比,提出的方法在套合差指标上表现出显著优势,河网提取精度提升明显.研究验证了该方法的有效性和实用价值,为平原地区河网精准提取提供了可靠的技术方案.

[Objective]In plain regions,the flat terrain and ambiguous flow directions lead to significant accuracy limitations in traditional DEM-based river network extraction methods.To address this technical challenge,this study proposes an improved extraction method integrating DEM elevation perturbation enhancement with hydrologi-cal station geographic information correction.[Methods]Firstly,the original DEM data were optimized through preprocessing steps including plain terrain identification,elevation perturbation enhancement,and depression fill-ing.Subsequently,the generated river network underwent flow direction and structural optimization by incorporating the spatial distribution information of hydrological stations.[Results]Comparative experiments in the small Tangbai River Basin area and the large-scale Jilin Province area demonstrated that,compared with the conventional method,the proposed method reduced the river network overlay errors from 2.51%to 0.45%and from 1.82%to 0.67%,re-spectively,demonstrating its superiority and applicability in river network extraction in regions dominated by plain geomorphology.[Conclusion](1)Elevation perturbation enhancement improves the identification accuracy of main streams and tributaries as well as river network continuity.(2)The incorporation of hydrological stations effec-tively corrects channel positions and topological structures,and the number of stations has a significant influence on river network extraction accuracy.(3)Compared with conventional methods,the proposed method shows significant advantages in the overlay error metric,with markedly improved river network extraction accuracy.This study vali-dates the effectiveness and practical value of the method,providing a reliable technical solution for accurate river network extraction in plain regions.

刘彦成;曾志强;曹辉;张海荣;钱超;顾成杰;陆虎

武汉纵河科技有限公司,武汉 430014中国长江电力股份有限公司,武汉 430060||智慧长江与水电科学湖北省重点实验室,武汉 430014中国长江电力股份有限公司,武汉 430060||智慧长江与水电科学湖北省重点实验室,武汉 430014中国长江电力股份有限公司,武汉 430060||智慧长江与水电科学湖北省重点实验室,武汉 430014武汉纵河科技有限公司,武汉 430014武汉纵河科技有限公司,武汉 430014武汉纵河科技有限公司,武汉 430014

建筑与水利

DEM平原地区河网提取高程扰动增强水文站点校正

DEMplain regionsriver network extractionelevation perturbation enhancementhydrological sta-tion correction

《长江科学院院报》 2026 (9)

46-54,61,10

中国长江电力股份有限公司项目(2423020044)湖北省自然科学基金项目(2024AFD366)长江电力Ⅰ类自主科研项目(1523020014-3.4)

10.11988/ckyyb.20250505

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