乌克兰城市生活垃圾处理区域特征研究

IF 0.3 Q4 GEOLOGY
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引用次数: 0

摘要

目的。在分析城市生活垃圾处理现状的基础上,根据官方统计资料,制定了一套基于区域生活垃圾处理特点的指标方法。统计信息分析方法,包括多元统计分析方法-聚类分析。在国家一级制订一套废物处理指标的依据是关于固体废物产生和处置以及废物处理服务的官方统计资料。对乌克兰各区域已开发的数据库进行的分析显示,初级资料有一些不足,数据有相当大的可变性。从绝对值到具体值的过渡是形成一套指标的基础,这套指标分为三个部分,分别是城市固体废物的产生和处置(5个指标)、废物处理场(12个指标)和社会经济指标(3个指标)。对乌克兰境内的城市固体废物处置情况进行了聚类分析。为乌克兰24个地区计算的指标表明数据存在显著差异。在11项指标的基础上,根据乌克兰城市固体废物处理的情况,对乌克兰领土进行了分区,定义了四个集群(根据乌克兰地图方案)及其一般特征。为了解决区域间比较和资料的定性分析问题,最好从关于产生和处置以及提供城市固体废物清除服务的原始数据转向派生的手段指标。结果,获得了每个组具有广义特征的乌克兰地区的四个集群。根据聚类结果,我们可以得出结论,基辅和利沃夫地区的情况最糟糕。城市固体废物处置的最佳情况(按一套指标计算)是沃林、第聂伯罗彼得罗夫斯克、基罗沃拉德、敖德萨和切尔尼耶夫地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional Features Research of Municipal Solid Waste Disposal in Ukraine
Purpose. Analysis of the current state with municipal solid waste disposal based on official statistical information, development of a set of indicators based on the characteristics of regional waste disposal. Methods. Statistical information analysis methods, including method of multivariate statistical analysis - cluster analysis. Results. The development of a set of waste disposal indicators at the national level is based on official statistical information on solid waste generation and disposal, as well as waste disposal services. The analysis of the developed database by regions of Ukraine revealed some deficiencies in the primary information and consi- derable variability of the data. The transition from absolute to specific values is the basis for a set of indicators formation combined into three blocks, which characterizing the generation and disposal of municipal solid waste (5 indicators), waste disposal sites (12 indicators) and socio-economic indicators (3 indicators). For the territory of Ukraine zoning by the situation with the municipal solid waste disposal the cluster analysis method were used. Indicators calculated for 24 regions of Ukraine indicate significant data variability. On the basis of 11 indicators, the zoning of the territory of Ukraine was conducted according to the situation with the municipal solid waste disposal with the definition of four clusters (drawing on the map-scheme of Ukraine) and their generalized characteristics. Conclusions. In order to solve the problem of inter-regional comparison and qualitative analysis of information, it is advisable to move from the primary data on generation and disposal, as well as the provision of municipal solid waste removal services to derived means – indicators. As a result, four clusters of Ukraine regions with generalized characteristics for each group were obtained. According to the results of clustering, we can conclude that the worst situation is in Kyiv and Lviv regions. The best situation of municipal solid waste disposal (by a set of indicators) is in Volyn, Dnipropetrovsk, Kirovohrad, Odesa and Chernihiv regions.
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