中国铁道科学2025，Vol.46Issue(5)：100-110,11.DOI:10.3969/j.issn.1001-4632.2025.05.09
强隆升区河流淤涨预测方法及减灾选线要点
Prediction Methods for River Siltation and Key Points of Route Selection for Disaster Reduction in Significant Uplift Area:a Case Study of the Proposed China-Nepal Railway
摘要
Abstract
The prediction of river siltation state over the 100-year service period of railway is essential for high-quality route selection design.Significant uplift areas account for approximately 30%of China's land area.However,existing research has inadequately addressed the impact of river siltation on engineering safety in such regions,and there is also a lack of low-cost technologies for obtaining river siltation information.Therefore,a method based on a stream-power incision model is proposed to establish the criteria for river erosion and siltation states,and SWOT satellite data is used to estimate the siltation rate of the riverbed.Taking the China-Nepal Railway as an example,the proposed method is applied to identify the erosion and deposition status and distribution along six rivers with a total length of 807 km in an area of about 32 000 km²,and siltation rates are determined for 208 km of key reaches.On this basis,to address the intensification of debris flows and the main river interaction due to riverbed siltation in canyon sections,the principle of route selection for disaster reduction of"elevation avoidance"is proposed.For open valleys,a feasible zone for railway alignment is delineated that avoids debris flows on the same bank while circumventing the siltation risk of the main river.The results show that the method can obtain the information of river siltation widely,efficiently and at low cost using only publicly available data,with accuracy matching the design depth of the preliminary route-selection stage.The methodology and findings serve as an exemplar for advancing railway alignment survey and design technology by through the application of frontier tectonic geomorphology theories and new satellite remote sensing technologies.关键词
中尼铁路/选线/强隆升区/淤涨预测/水力侵蚀模型/SWOT卫星Key words
China-Nepal Railway/Route selection/Significant uplift area/Siltation prediction/Stream-power incision model/SWOT satellite分类
交通运输引用本文复制引用
黄艺丹,高雨,孙先锋,李心怡,姚令侃..强隆升区河流淤涨预测方法及减灾选线要点[J].中国铁道科学,2025,46(5):100-110,11.基金项目
国家自然科学基金资助项目(52378466) （52378466）
西藏自治区科技计划项目(XZ202402ZD0003) （XZ202402ZD0003）
西南交通大学2025年新型交叉学科培育基金资助项目(2682025ZD006) （2682025ZD006）
第二次青藏高原综合科学考察研究项目(2021QZKK0202) （2021QZKK0202）
