基于地形带分类的最佳阈值与河网密度关系研究

刘羽婷, 张行南, 刘伯娟

长江科学院院报 ›› 2014, Vol. 31 ›› Issue (4) : 17-20.

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长江科学院院报 ›› 2014, Vol. 31 ›› Issue (4) : 17-20. DOI: 10.3969/j.issn.1001-5485.2014.04.0042014, 31(04):17-20
水资源与环境

基于地形带分类的最佳阈值与河网密度关系研究

  • 刘羽婷1a, 张行南1a, 1b, 2, 刘伯娟3
作者信息 +

Research on the Relationship Between Optimal Drainage AreaThreshold and River Network Density by Terrain Classification

  • LIU Yu-ting1, ZHANG Xing-nan1, 2, 3, LIU Bo-juan4
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文章历史 +

摘要

为了使分布式水文模型计算单元更好地反映垫面特性, 基于地形带的分类, 运用ArcGIS软件的划分单元面积功能, 采用改进的适度指数法推求长江上游研究区流域的最佳阈值, 能够最终确定不同地形带流域河网密度与最佳阈值的关系。实例结果表明采用改进的适度指数法可以生成反映实际水系, 且与蓝网拟合程度高的模拟河网;根据不同地形带的河网密度与最佳阈值关系和已知蓝线河网密度, 可以快速得到流域的最佳阈值。

Abstract

The objective of this research is to better reflect the watershed land surface characteristics of computing units in distributed hydrological model. According to selected indexes, the terrain in the studied watershed was classified. On the basis of the classification and the division unit area function of ArcGIS, the optimal drainage area threshold of the studied area in the upstream of Yangtze River is obtained by using improved fitness index method, then the relationship between drainage area threshold and river network density could be determined. Results show that by using improved fitness index method, the simulated river network could reflect the actual river system and is reasonably close to the reality. According to the relationship, the optimal drainage area threshold could be obtained quickly given the blue line network density.

关键词

DEM / 地形带分类 / 改进的适度指数法 / 河网密度 / 最佳阈值

Key words

Digital Elevation Model(DEM) / terrain classification / improved fitness index method / river network density / optimal drainage area threshold

引用本文

导出引用
刘羽婷, 张行南, 刘伯娟. 基于地形带分类的最佳阈值与河网密度关系研究[J]. 长江科学院院报. 2014, 31(4): 17-20 https://doi.org/10.3969/j.issn.1001-5485.2014.04.0042014, 31(04):17-20
LIU Yu-ting, ZHANG Xing-nan, LIU Bo-juan. Research on the Relationship Between Optimal Drainage AreaThreshold and River Network Density by Terrain Classification[J]. Journal of Changjiang River Scientific Research Institute. 2014, 31(4): 17-20 https://doi.org/10.3969/j.issn.1001-5485.2014.04.0042014, 31(04):17-20
中图分类号: P333   

参考文献

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基金

国家自然科学基金重点项目(41030636);国家高新技术研究发展计划(863)项目(2012AA12A309 );高等学校博士学科点专项科研基金(20110094110011)

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