基于分层抽样的垃圾减量分类效果研究

Study on the Effect of the Refuse Classification Based on Stratified Sampling

针对垃圾减量分类过程中基础数据分项及颗粒度是否足够等问题进行理论的探讨,综合利用了分层抽样、回归分析等方法,得出了深圳市垃圾减量分类活动的效果.参考台湾的垃圾减量分类措施,建立干预分析模型.通过预测未来深圳5年的人口变化以及城市生活垃圾人均日清运量得到深圳市垃圾减量分类后的最好结果与最坏结果.建议政府加强垃圾分类的推行力度并增加垃圾分类宣传推广的投入.

The problems of basic data item and granularity during the process of garbage reduction and classification are discussed in this theory. The effect of the classification and reduction of waste was obtained by using stratified sampling, regression analysis and other methods in Shenzhen city. Refer to the measures of waste reduction in Taiwan to establish intervention analysis model. The best and worst results of waste reduction and classification in Shenzhen city would be got by predicting the future population changes over the next five years and the city life garbage disposal per day. Finally, the government should strengthen efforts to promote garbage classification and to increase investment on garbage classification promotion.