Suppr超能文献

受污染河流水体pH值、酸度和碱度的数值相互依存关系。

Numerical interdependence in pH, acidity and alkalinity of a polluted river water.

作者信息

Singh J, Dwivedi Anil K

机构信息

Laboratory of Environmental Chemistry and Complexes, Department of Chemistry, Udai Pratap Autonomous Post Graduate College, Varanasi-221 002, India.

出版信息

J Environ Biol. 2009 Sep;30(5):773-5.

Abstract

Acidity and alkalinity are independent parameters and they directly or indirectly regulate the pH of a medium. These are the prime factors which control the nature of the reactions in a medium. The present study was designed to explore the numerical interdependence of the three parameters and also, to develop the regression models. For physico-chemical analysis of the selected parameters, water quality of a polluted tropical river was analysed fortnightly, for complete one year. Correlation coefficients between pH-acidity and acidity-alkalinity were negative while that between pH and alkalinity were positive. The value calculated by the developed multiple regression models, explain pH, acidity and alkalinity up to 57, 65 and 79% respectively, suggesting their utility and relevance.

摘要

酸碱度是相互独立的参数,它们直接或间接地调节介质的pH值。这些是控制介质中反应性质的主要因素。本研究旨在探索这三个参数的数值相互依存关系,并建立回归模型。为了对选定参数进行物理化学分析,对一条受污染的热带河流的水质进行了为期一年的每两周一次的分析。pH值与酸度之间以及酸度与碱度之间的相关系数为负,而pH值与碱度之间的相关系数为正。通过建立的多元回归模型计算出的值分别可以解释pH值、酸度和碱度高达57%、65%和79%,表明了它们的实用性和相关性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验