[1]刘 欣,等.基于坡度—汇水面积关系的黄土浅沟与切沟沟头形成敏感区模拟[J].山地学报,2020,(5):658-667.[doi:10.16089/j.cnki.1008-2786.000543]
 LIU Xin,WANG Chunmei*,et al.Sensitive Area Simulation of Ephemeral and Permanent Gullies Based on Slope-Area Relationship in the Loess Region[J].Mountain Research,2020,(5):658-667.[doi:10.16089/j.cnki.1008-2786.000543]
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基于坡度—汇水面积关系的黄土浅沟与切沟沟头形成敏感区模拟()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2020年第5期
页码:
658-667
栏目:
山地环境
出版日期:
2020-11-10

文章信息/Info

Title:
Sensitive Area Simulation of Ephemeral and Permanent Gullies Based on Slope-Area Relationship in the Loess Region
文章编号:
1008-2786-(2020)5-658-10
作者:
刘 欣1 2王春梅1 2*庞国伟1 2龙永清1 2王 雷1 2
1.陕西省地表系统与环境承载力重点实验室,西安 710127; 2.西北大学 城市与环境学院,西安 710127
Author(s):
LIU Xin1 2 WANG Chunmei12* PANG Guowei1 2 LONG Yongqing12 WANG Lei1 2
1. Key Laboratory of Earth Surface System and Environmental Carrying Capacity of Shaanxi Province, Northwest University, Xi'an 710127, China; 2. College of Urban and Environmental Science, Northwest University, Xi'an 710127, China
关键词:
无人机 侵蚀沟 沟头 数字高程模型 黄土高原
分类号:
P91
DOI:
10.16089/j.cnki.1008-2786.000543
文献标志码:
A
摘要:
黄土高原侵蚀沟治理是黄河流域高质量发展中面临的重要问题。本研究以坡面侵蚀沟中的浅沟、切沟为研究对象,基于高分辨率无人机航摄和野外高精度实测,以陕北子洲岔巴沟典型小流域为研究区,得到沟头坡度—汇水面积关系曲线,构建了沟头形成的地形临界模型,进行沟头形成敏感区模拟。结果表明:(1)浅沟、切沟沟头形成临界模型分别为:S≥0.6073A-0.142,S≥1.2065A-0.229;(2)综合运用沟头形成临界模型和流域坡度—汇水面积关系曲线可较为准确地预测浅沟、切沟沟头形成敏感区与非敏感区,浅沟、切沟沟头预测准确度分别为91.43%和71.79%,非沟头区域预测准确度为98.44%。研究结果可为黄土侵蚀沟防治提供技术支撑。

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备注/Memo

备注/Memo:
收稿日期(Received date):2020-08-06; 修回日期(Accepted date):2020-10-07
基金项目(Foundation item):国家自然科学基金(41977062,41601290); 国家重点研发计划(2017YFD0800502)。[National Natural Science Foundation of China(41977062, 41601290); National Key Research and Development Program of China(2017YFD0800502)]
作者简介(Biography):刘欣(1993-),男,黑龙江安达人,硕士研究生,主要研究方向:数字地形分析与GIS应用。[LIU Xin(1993-), male, born in Anda, Heilongjiang province, M. Sc. candidate, research on digital terrain analysis and GIS application] E-mail: 201831809@stumail.nwu.edu.cn
*通讯作者(Corresponding author):王春梅(1983-),女,山东临邑人,副教授,硕士生导师,主要研究方向:侵蚀地形分析。[WANG Chunmei(1983-), female, Ph. D., associate professor, research on soil erosion assessment based on remote sensing and GIS] E-mail: cmwang@nwu.edu.cn
更新日期/Last Update: 2020-09-30