[1]李伯祥,胡春生*,何成邦,等.基于SPIM模型参数χ-ksn值综合分析的河流袭夺现象快速识别方法:以江西庐山典型山地河流为例[J].山地学报,2025,(3):469-481.[doi:10.16089/j.cnki.1008-2786.000905]
　LI Boxiang,HU Chunsheng*,HE Chengbang,et al.Rapid Identification for River Capture Phenomena Based on Integrated Analysis of SPIM Model Parameters χ-ksn Values: A Case Study of Typical Mountain Rivers in the Lushan Mountain, Jiangxi Province, China[J].Mountain Research,2025,(3):469-481.[doi:10.16089/j.cnki.1008-2786.000905]
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基于SPIM模型参数χ-ksn值综合分析的河流袭夺现象快速识别方法:以江西庐山典型山地河流为例()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2025年第3期
页码:
469-481
栏目:
山地技术
出版日期:
2025-06-20

文章信息/Info

Title:
Rapid Identification for River Capture Phenomena Based on Integrated Analysis of SPIM Model Parameters χ-ksn Values: A Case Study of Typical Mountain Rivers in the Lushan Mountain, Jiangxi Province, China
文章编号:
1008-2786-(2025)3-469-13
作者:
李伯祥;  胡春生*;  何成邦;  高 运;  刘婉婷
(安徽师范大学 a.地理与旅游学院; b. 江淮流域地表过程与区域响应安徽省重点实验室,安徽 芜湖 241002)
Author(s):
LI Boxiang;  HU Chunsheng*;  HE Chengbang;  GAO Yun;  LIU Wanting
(a. School of Geography and Tourism; b. Anhui Provincial Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze-Huaihe River Basin, Anhui Normal University, Wuhu 241002, Anhui, China)
关键词:
河流袭夺;  SPIM模型;  χ值;  ksn值;  庐山
Keywords:
river capture;  SPIM;  χ index;  ksn index;  the Lushan Mountain
分类号:
P931.1
DOI:
10.16089/j.cnki.1008-2786.000905
文献标志码:
A
摘要:
河流袭夺现象是揭示构造-气候-地表过程耦合效应的关键地貌过程。传统研究方法依赖高成本的野外勘查与实验分析,成本高、周期长,亟需发展高效的识别技术。江西庐山处于长江中游典型构造-气候耦合作用活跃区,其密集的水网系统频繁受控于构造运动与侵蚀基准面变化,为河流袭夺现象的研究提供了丰富的样本空间。本研究基于12.5 m分辨率DEM数据,集成水力侵蚀模型(Stream-Power Incision Model, SPIM)的衍生参数——河道面积积分χ值与河道陡峭指数ksn,构建χ-ksn参数值综合分析河流袭夺的识别方法,对江西庐山大校场、锦绣谷两个典型流域内的河流袭夺现象开展验证,评估该方法在复杂地貌背景下的适用性与识别效率。研究结果表明:(1)运用 χ-ksn值进行河流袭夺现象快速识别,该方法具有高效性与可靠性,成果与区域地质记录及历史水文记录高度吻合。(2)在技术操作上,选用0.45作为参考凹度值时, χ-ksn值分析可显著提升河流网络识别灵敏度,其生成的高程-面积关系(χ-plot)图呈现更优的对称性、更清晰的凸型轮廓特征,且相较其他值图像离散度可降低约28.57%,更契合庐山陡峭山地河流的袭夺判别需求。(3)对庐山两个典型流域进行案例验证发现:根据χ值分析,大校场流域内大校场河与长冲河中下游段、锦绣谷流域内西谷河上游与锦绣谷河干流2处χ值差异相较流域其他区域更高,据此在两流域各锁定1处可疑袭夺区; 陡峭指数ksn分析进一步揭示,大校场河流域芦林湖大坝附近河段ksn异常峰值,达92.92 m0.9,较流域其他河段均值高约2.5倍; 锦绣谷河流域如琴湖大坝区域ksn出现异常峰值,达269.44 m0.9,较流域其他河段高约5.45倍,据此可精确标定两处具体袭夺点。本研究构建的χ-ksn值综合分析方法框架为快速解译复杂水系演化过程提供了可推广的量化工具,对深化构造-地貌-气候耦合机制研究具有重要方法论价值。
Abstract:
River capture is a critical geomorphic carrier revealing tectonic-climate-surface process coupling. Recognition of river capture traditionally requires field surveys and laboratory works, which are costly and time-consuming, necessitating developing high-efficiency identification techniques.
The Lushan Mountain in Jiangxi Province of China, situating in the active tectonic-climate coupling zone of the middle reaches of the Yangtze River, features dense river networks and erosion-base level changes influenced frequently by tectonic movements, providing rich samples for case study of river capture.
In this study, it developed an efficient identification method by integrating two parameters, the channel-integrated χ index(integral of drainage area)and the normalized channel steepness index(ksn), which derived from Stream Power Incision Model(SPIM), using 12.5 m resolution DEM data. Verification was conducted in two typical basins—the Daxiaochanghe River basin and the Jinxiuguhe River basin in the Lushan Mountain area to evaluate applicability and recognition efficiency, particularly in complex geomorphic settings. It has following findings as listed as below.
(1)The χ-ksn integration method achieved high efficiency and reliability in river capture identification, validated against regional geological records.
(2)At a reference concavity(θref)of 0.45, χ-plots(elevation-area relationship)exhibited optimal symmetry(scatter reduced by 28.57%)and convexity, enhancing identification sensitivity in steep mountainous rivers.
(3)χ anomalies indicated two potential capture zones in the Daxiaochanghe River basin(the mid-lower reaches of the Daxiaochanghe River and the Changchong River)and the Jinxiuguhe River basin(the upper Xigu River and the Jinxiuguhe River mainstream). ksn peaks further located the two capture points in the vicinity of the Lulin Dam(ksn =92.92 m0.9, ～2.5 times higher than basin averages)and the Ruqin Dam(ksn=269.44 m0.9, ～5.45 times higher than basin averages), indicating intense headward erosion driving river capture development.
This χ-ksn integration analysis framework provides a quantifiable, scalable tool for rapidly decoding complex fluvial evolution, offering significant methodological value for advancing research on tectonic-geomorphic-climatic coupling mechanisms.

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相似文献/References:

[1]周中民.“分水岭迁移与河流袭夺”客观存在[J].山地学报,1994,(04):243.
[2]崔之久,蒋忠信,唐晓春.云南祥云溪沟河近代河流袭夺[J].山地学报,1996,(03):146.
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备注/Memo

备注/Memo:
收稿日期(Received date): 2024-10-17; 改回日期(Accepted date): 2025- 06-18
基金项目(Foundation item): 国家自然科学基金(42471011); 安徽省自然科学基金(2108085MD127)。 [National Natural Science Foundation of China(42471011); Natural Science Foundation of Anhui Province(2108085MD127)]
作者简介(Biography): 李伯祥(2000-),男,江苏扬州人,硕士研究生,主要研究方向:河流地貌与河流演化。[LI Boxiang(2000-), male, born in Yangzhou, Jiangsu Province, M.Sc. candidate, research on fluvial geomorphology and river evolution] E-mail: 1300257660@qq.com
*通讯作者(Corresponding author): 胡春生(1978-),男,安徽无为人,博士,副教授,主要研究方向:河流地貌、河流演化与第四纪环境。[HU Chunsheng(1978-), male, born in Wuwei, Anhui Province, Ph.D., associate professor, specialized in fluvial geomorphology, river evolution and quaternary environment] E-mail: huchsh03@ahnu.edu.cn
更新日期/Last Update: 2025-05-30