ESTABLISHMENT OF QUANTITATIVE PREDICTION MODEL BASED ON CHARACTERISTICS OF WASTE GENERATED IN UNDERGROUND PIPELINE GALLERY CONSTRUCTION
-
摘要: 以浙江省宁波市地下管廊施工为研究对象,通过现场调研和建筑施工进度跟踪,建立了工程渣土、废弃混凝土、工程泥浆3种建筑垃圾的定量预测模型。结果表明:预计产生程渣土为83891.21 m3、废弃混凝土为4837.34 m3、工程泥浆为11435.27 m3。与真实值相比,模型的相对误差分别为8.6%,4.9%,3.5%,均低于20%,可认为三类建筑垃圾预测模型的建立有效。Abstract: In this paper, the construction of the underground pipe gallery in Ningbo, Zhejiang province was taken as the research object. Based on the field investigation and the tracking of the construction progress, the quantitative prediction models of three kinds of construction wastes, including engineering slag, waste concrete and engineering slurry, were established. The predicted results showed that 83891.21 m3 of waste soil, 4837.34 m3 of waste concrete and 11435.27 m3 of engineering mud were expected to be produced. Compared with the real value, the relative errors of the model were 8.6%, 4.9%, 3.5% respectively, which were all lower than 20%. Thus, three kinds of construction waste prediction models were proved to be effective.
-
Key words:
- underground pipe gallery /
- construction waste /
- resource /
- classification /
- prediction model
-
陈家珑, 孙丽蕊. 关于对我国建筑垃圾资源化利用现状若干问题的思考[C]//第二届机制砂石生产与应用技术论坛, 2012. 罗家强. 德国建筑垃圾资源化回收利用研究[J]. 环境与发展, 2018(5):52. 兰聪, 卢佳林, 陈景. 我国建筑垃圾资源化利用现状及发展分析[J]. 江西建材, 2018(8):23-25. 唐蓉, 李如燕. 建筑垃圾的危害及资源化[J]. 中国资源综合利用, 2007, 25(11):25-27. 何福云, 柯烨珍, 陈龙. 建筑施工对环境的影响及其应对策略[J]. 江西建材, 2019(4):132-133. 巩柏含, 呼国立, 于洲洋. 用多元线性回归分析建筑垃圾的低碳经济[J]. 金融经济月刊, 2015(1):158-160. 周豪奇, 张云宁, 赵杰. 基于灰色预测模型GM(1,1)的建筑垃圾产量研究[J]. 武汉理工大学学报(信息与管理工程版), 2016, 38(5):612-615. 张红玉, 杨飞华, 李国学,等. 基于ARIMA模型的北京市朝阳区建筑垃圾产量分析与预测[J]. 环境工程, 2014(增刊1):696-699. 住房和城乡建设部,国家质量监督检验检疫总局. 化工企业总图运输设计规范:GB 50489—2009[S]. 北京:中国计划出版社,2009.
点击查看大图
计量
- 文章访问数: 133
- HTML全文浏览量: 21
- PDF下载量: 8
- 被引次数: 0