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Application of Statistical and Econometric Tools in The Analysis of Air Pollution Level on The Example of Czestochowa

机译:统计和计量经济学工具在以琴斯托霍瓦为例的空气污染水平分析中的应用

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One of the key elements of environmental protection is taking care of air quality. This is a difficult task as the quality of air is influenced by numerous factors connected with man’s activity. Usually more developed economies have a stronger influence on the environment, including the level of pollution, and at the same time they have at their disposal a number of tools that make it possible to stop the emission of harmful substances. An important aspect in the struggle with air pollution in a given area is the constant monitoring of its quality. The aim of the article is the statistical and econometric analysis of the basic parameters of air pollution in Czestochowa in 2012–2017. This objective was achieved by calculating the basic descriptive statistics of the distinguished types of pollutants, determining the correlation between them, and building models of fluctuations in time for each of them based on the data observed and corrected (standardized) relative to air temperature. Based on the obtained models – assessing their prognostic properties – the prediction of the level of the selected types of pollutants was made.
机译:环境保护的关键要素之一是注意空气质量。这是一项艰巨的任务,因为空气质量会受到与人类活动相关的众多因素的影响。通常,较发达的经济体会对环境产生更大的影响,包括污染程度,同时,它们拥有许多工具,可以阻止有害物质的排放。在给定地区与空气污染作斗争的一个重要方面是对其质量的持续监控。本文的目的是对2012-2017年琴斯托霍瓦空气污染的基本参数进行统计和计量分析。通过计算各种污染物的基本描述统计数据,确定它们之间的相关性,并根据相对于气温观察和校正(标准化)的数据为每种污染物建立时间波动模型,可以实现此目标。基于获得的模型-评估其预后特性-对所选污染物类型的水平进行了预测。

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