Remote Location Water Quality Prediction of the Indian River Ganga: Regression and Error Analysis

S. Shakhari, A. K. Verma, I. Banerjee
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引用次数: 1

Abstract

Over the years, analysis of water quality parameters is becoming paramount because of the increasing water pollution which results in the loss of aquatic life which becomes detrimental for the ecosystem. To predict the values of the water quality parameters of places for which the data is not available, a predictive model comes to the fore. Regression Analysis aids us in predictive analysis of the physio-chemical parameters of water quality and perform error analysis by comparing the predicted values with the actual values of the parameters.
印度恒河水质遥感预测:回归与误差分析
多年来,由于水污染日益严重,导致水生生物的损失,对生态系统有害,水质参数的分析变得至关重要。为了预测无资料地区的水质参数值,一种预测模型应运而生。回归分析帮助我们对水质的理化参数进行预测分析,并将预测值与参数的实际值进行误差分析。
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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