过程线
回归
地表径流
流量(数学)
回归分析
多元统计
灵敏度(控制系统)
统计
流速
数学
应用数学
计算机科学
水文学(农业)
地质学
几何学
工程类
岩土工程
生物
电子工程
生态学
作者
Yingbing Chen,Peng Shi,Xiaomin Ji,Simin Qu,Lanlan Zhao,Fengcheng Dong
标识
DOI:10.1038/s41598-019-50723-x
摘要
Abstract The determination of characteristic flow velocity is a hydrodynamic problem needs to be solved in the application of geomorphologic instantaneous unit hydrograph (GIUH) for runoff simulation in areas with no or limited data. In this study, 120 watersheds are collected to construct a regression model; 85 of these basins are used for regression analysis, and the 35 remaining basins are utilized to verify the feasibility of the constructed model. Random forest algorithm is applied to screen out important geomorphologic factors from the 16 extracted factors that may affect flow velocity. Multivariate regression is used to establish the numerical relationship between velocity and the selected factors. Sensitivity analysis of each adopted factor in the constructed model is conducted using the LH-OAT method. The rationality and feasibility of the regression model are validated by comparing the flow velocity calculation with a previous approach, which is also calculated based on geomorphological parameters. Subsequently, the runoff simulation based on the GIUH model is evaluated using the proposed technique. Results demonstrate that the proposed formula possesses high fitting accuracy and can be easily used to calculate flow velocity and generate GIUH.
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