Relation of waste generation and composition to socio-economic factors: a case study
Relation of waste generation and composition to socio-economic factors: a case study
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DOI：
10.1007/s10661-007-9705-3
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发表时间：
2007-12-01
影响因子：
3
通讯作者：
Pilapiiya, Sumith
中科院分区：
文献类型：
--
作者：
Bandara, Nilanthi J. G. J.;Hettiaratchi, J. Patrick A.;Pilapiiya, Sumith
要为某一地区制订有效的废物管理策略，重要的是要了解产生的废物数量和废物流的组成。过去的研究表明，产生的垃圾数量与人口和人们的平均生活水平或平均收入成正比。此外，其他因素也可能影响废物的数量和组成。这些因素包括气候、生活习惯、教育水平、宗教和文化信仰以及社会和公众态度。本文介绍了在斯里兰卡郊区市区进行的一项研究的结果，以确定基于实地调查的固体废物产生率和废物组成，并确定相关的社会经济因素。建立了一个数据库，其中包括关于研究地区抽样家庭在一段时间内产生的废物数量和组成的资料。对收集到的数据进行了分析，以便将废物产生和成分数据与各种社会经济因素联系起来。采用分层随机抽样方法，根据市政辖区和财产价值，选择了400多个样本家庭进行研究。采用了一种既考虑特定收入组（财产价值范围）的家庭数量又考虑特定收入组内财产价值的标准偏差的技术来确定每个市辖区的适当样本量。通过分类和回归分析，废物的数量和废物组成与几个社会经济因素有关。本文描述了样本选择的基础、数据收集所采用的方法、用于分析的社会经济参数，以及从分析中得出的关系。
To develop an effective waste management strategy for a given region, it is important to know the amount of waste generated and the composition of the waste stream. Past research has shown that the amount of waste generated is proportional to the population and the average mean living standards or the average income of the people. In addition, other factors may affect the amount and composition of waste. These are climate, living habits, level of education, religious and cultural beliefs, and social and public attitudes. This paper presents the findings of a study carried out in a suburban municipal area in Sri Lanka to determine the solid waste generation rate and waste composition based on field surveys and to determine the related socio-economic factors. A database was developed that included information on the quantity and composition of waste generated in a sample of households in the study area over a time period. The collected data was analysed to relate waste generation and composition data to various socio-economic factors. Over 400 sample households were selected for the study using a stratified random sampling methodology based on municipal wards and property values. A technique that considers both the number of households in a particular income group (property value range) and the standard deviation of property values within a given income group was used to determine the appropriate sample size for each municipal ward. Through category and regression analyses, the quantities of waste and waste composition were related to several socio-economic factors. The paper describes the basis for the sample selection, the methodology adopted for data collection, the socio-economic parameters used for the analysis, and the relationships developed from the analysis.