Water Quality Parameters and Monitoring Soft Surface Water Quality Using Statistical Approaches

R. Drasovean, G. Murariu
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引用次数: 2

Abstract

Water is the matrix of life and is indispensable on Earth. Water has a multitude of applications and all known life forms depend on it. Therefore, water quality is important for all of us. Water quality can be represented by a set of physical, chemical, biological and bacteriological characteristics. These parameters allow water to be classified in multiple categories leading to its use for a specific purpose. This chapter establishes the connections between external causes and their effect on water quality parameters. In order to provide information on water quality, different Water Quality Index (WQI) models can be used. In order to study the association between water quality parameters, several correlation coefficients have been developed. For a coherent statistical approach, we have used Pearson and Spearman correlations. In order to exemplify the manner in which WQI can be calculated and interpreted, we used a series of data from our previous work, consisting of 13 parameters measured for water samples taken from the Danube River, from Galati City area, Romania.
水质参数与软地表水水质统计监测
水是生命的母体,在地球上是不可或缺的。水有许多用途,所有已知的生命形式都依赖于水。因此,水质对我们所有人都很重要。水质可以由一系列物理、化学、生物和细菌特性来表示。这些参数允许将水分为多个类别,从而使其用于特定目的。本章建立了外部原因及其对水质参数的影响之间的联系。为了提供有关水质的信息,可以使用不同的水质指数(WQI)模型。为了研究水质参数之间的关系,建立了几个相关系数。为了获得连贯的统计方法,我们使用了皮尔逊和斯皮尔曼相关性。为了举例说明WQI可以计算和解释的方式,我们使用了我们以前工作中的一系列数据,包括从罗马尼亚加拉蒂市地区多瑙河采集的水样测量的13个参数。
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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