水力发电学报2025，Vol.44Issue(6)：1-11,11.DOI:10.11660/slfdxb.20250601
多源数据融合的辫状河流地貌演变研究
Study on morphological evolution of large braided river based on multi-source data
摘要
Abstract
The broad valley reach of the Yarlung Zangbo River presents unstable multiple channels and ephemeral bars formed by intense bed-load transport and active morphodynamic processes,exhibiting notable braided river characteristics.This study uses multi-source data comprehensively-including field observations and satellite remote sensing,adopts an artificial neural network model to classify and identify the satellite images-and determines statistically the geometric parameters of the river and its bars.We examine the time evolution of characteristic geomorphic factors as a response to flow conditions in well-braided reaches,and work out a quantitative relationship for the response.The results indicate braided river geomorphological parameters are highly sensitive to flow variations and display pronounced seasonal variations.The number of bars increases with the rising discharge,while their total area decreases;The bar braid index(BIb)is positively correlated with the flow rate,and the reach braid index(BIr)shows a non-monotonic change-decrease in flood peak period,rise in flood retreat period,then decrease again in dry season.The results deepen our understanding of complex river morphological evolution,and help develop and utilize plateau rivers.关键词
辫状河流/雅鲁藏布江/地貌演变/遥感影像/辫状指数Key words
braided river/Yarlung Zangbo River/morphological evolution/remote sensing/braiding index分类
水利科学引用本文复制引用
张子浩,孙健,韩凯,黄哲,林斌良,李治..多源数据融合的辫状河流地貌演变研究[J].水力发电学报,2025,44(6):1-11,11.基金项目
国家重点研发计划课题(2023YFC3208603) （2023YFC3208603）
国家自然科学基金(U2243238) （U2243238）
水圈科学与水利工程全国重点实验室资助项目(sklhse-2023-B-01) （sklhse-2023-B-01）
