The Waste Water as a Source of Information for the Urban Agglomerations Management

M. Drahosová, P. Balco, Lukas K. Pokorny, Ryan Razani
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引用次数: 0

Abstract

This paper presents a clear relationship between agglomeration, smart cities and waste management in Slovak republic. The main contribution of this work is to investigate the relationship between smart cities management and the wastewater coming from the households to waste water treatment plant. It has been shown that the gathered information from the waste water is very useful for identifying the locations of pollution caused by medicaments and drugs in a city. We provide a brief overview of smart cities, followed by statistical information about world's population and the population of cities within Slovak republic. Moreover, the key information about the locations and the times of pollution is briefly discussed. Exploiting the network theory and the tree data structure used in this work, enables one to localize the collection points and to create the infrastructure for automatized collection of data. Compared to previous work, we identify the pollution points more effectively and more economically. Therefore, this makes the solution attractive for criminology of drug distribution points in the city. Subsequently, it leads to cleaner, safer and more environmentally friendly cities.
废水作为城市群管理的信息源
本文提出了集聚、智慧城市和斯洛伐克共和国废物管理之间的明确关系。这项工作的主要贡献是调查智慧城市管理与从家庭到废水处理厂的废水之间的关系。已经证明,从废水中收集的信息对于确定城市中药物和毒品造成污染的地点是非常有用的。我们提供了智能城市的简要概述,其次是关于世界人口和斯洛伐克共和国城市人口的统计信息。此外,还简要讨论了污染地点和时间的关键信息。利用本工作中使用的网络理论和树形数据结构,使人们能够定位收集点并创建自动收集数据的基础设施。与以往的工作相比,我们更有效、更经济地识别污染点。因此,这使得该解决方案对城市毒品分销点的犯罪学具有吸引力。随后,它会带来更清洁、更安全、更环保的城市。
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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