使用数据驱动和统计方法的降雨径流模型

2006 International Conference on Advances in Space Technologies Pub Date : 2006-09-01 DOI:10.1109/ICAST.2006.313789

Saadat Khan, Linda See

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引用次数: 18

摘要

本文概述了多元线性回归和三种不同的数据驱动建模技术在英格兰北部欧塞河流域水位预测中的应用。提前6小时和24小时的交货时间进行了建模。结果表明，数据驱动方法总体上优于统计方法，M5模型树在透明水位预报模型的开发中具有很大的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Rainfall-Runoff Modelling using Data Driven and Statistical Methods

This paper outlines the application of multiple linear regression and three different data-driven modeling techniques to river level forecasting for the river Ouse catchment in northern England. Lead times of 6 and 24 hours ahead were modelled. The results show that the data driven approaches generally outperformed the statistical approach and that M5 model trees have great potential for the development of transparent river level forecasting models.

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2006 International Conference on Advances in Space Technologies

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