Koushki P A, Al-Khaleefi A L
a Department of Civil Engineering , Kuwait University , Safat , Kuwait , USA.
J Air Waste Manag Assoc. 1998 Mar;48(3):256-263. doi: 10.1080/10473289.1998.10463678.
Academia and responsible government authorities have joined hands in a multi-dimensional research project to determine and analyze urban solid waste management in Kuwait in a cost-effective manner. In this study, a random sample of 2,000 households were interviewed, and the 11 private-sector companies responsible for the collection, transport, and disposal of household solid waste were coordinated, along with the Kuwait Municipality's Department of Environmental Affairs, to facilitate, expedite, and promote accomplishment of research tasks. More than 200 randomly selected solid waste trucks were subjected to a detailed manual waste classification procedure. Measurements of the actual quantity (by type) of daily solid waste from the truck monitoring survey were used to assess households' reported response accuracy. A number of statistical techniques were employed to examine trends and develop relationships between households' socioeconomic traits and solid waste generation. These included descriptive and distributional statistics, correlation, cross-classification, the chi-square test, and variance component analysis.
学术界和负责的政府当局携手开展了一个多维度研究项目，以经济高效的方式确定和分析科威特的城市固体废物管理情况。在这项研究中，随机抽取了2000户家庭进行访谈，并协调了负责收集、运输和处理家庭固体废物的11家私营公司，以及科威特市环境事务部，以便利、加快和推动研究任务的完成。200多辆随机挑选的固体废物运输车辆接受了详细的人工垃圾分类程序。通过对卡车监测调查中每日固体废物实际数量（按类型）的测量，来评估家庭报告的回答准确性。采用了多种统计技术来研究趋势，并建立家庭社会经济特征与固体废物产生之间的关系。这些技术包括描述性统计和分布统计、相关性分析、交叉分类、卡方检验和方差成分分析。
