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Multiple Linear Regression Model for Stream Flow Estimation of Wainganga River

机译:Wainganga河水流估算的多元线性回归模型

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This paper is based on the study of multiple linear regression based technique in determining the rainfall-runoff relations. Without considering the temperature, topography or other parameters of the study area, simply using the data of rainfall and runoff to predict the future runoff is the key characteristic of this technique. Ignoring the parameters of temperature, topography may lead to inaccuracy in forecasting future runoff, but the use of Multiple linear regression based technique provide a simple and fast way to determine the runoff. In the present investigation, 14 years data on rainfall and runoff at the Balaghat district of Madhya Pradesh have been analyzed to develop regression models for stream flow estimation with rainfall as input and different regression model tested with varying input length of data record.
机译:本文基于基于多元线性回归的技术确定降雨-径流关系的研究。在不考虑研究区域的温度,地形或其他参数的情况下,仅使用降雨和径流数据来预测未来径流是该技术的关键特征。忽略温度的参数,地形可能会导致未来径流预报的不准确性,但是基于多元线性回归的技术的使用提供了一种确定径流的简便方法。在本次调查中,已经分析了中央邦Balaghat地区14年的降雨和径流数据,以建立以降雨为输入量的流量估算回归模型,并使用数据记录的输入长度变化测试了不同的回归模型。

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