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通过地理空间和图像分析的组合来模拟矿物建筑和拆除废物的动态。

Modelling of mineral construction and demolition waste dynamics through a combination of geospatial and image analysis.

机构信息

Department of Engineering, Faculty of Science, Technology and Medicine, University of Luxembourg, Maison du Nombre, 6, Avenue de la Fonte, L-4369, Esch-sur-Alzette, Luxembourg.

出版信息

J Environ Manage. 2021 Mar 15;282:111879. doi: 10.1016/j.jenvman.2020.111879. Epub 2021 Jan 16.

Abstract

As the construction sector is shifting towards circular economy models, the role of mineral construction materials as main waste fraction in terms of volumes is crucial. A characterization of this mineral stock, as well as the waste derived from it is decisive in ensuring the application of the best practices of circular economy. This paper describes a methodology for assessing the mineral building stock through a combination of geospatial and image analysis. By analysing old topographic maps, buildings are grouped according to their building age into different typologies and based on these maps the construction and demolition activity is evaluated. The mineral stock is assessed and estimations of the mineral construction and demolition waste (CDW) is generated for different stochastic scenarios. This methodology is applied exemplarily on the country of Luxembourg. It was found that the total mineral construction stock for Luxembourg is 276.75 Mt and has been growing at a rate of 20.81%-24.39% in the last 30 years. Furthermore, the study identified a mean age of the urban building stock of about 60 years and a typical maximum building lifetime of 122 years. Based on the stochastic projections the mineral CDW generated from the existing building stock is expected to be up to 226.9 Mt by 2100, while if future building scenarios are considered, it can be as high as 885.3 Mt. The annual CDW production is expected to be sufficient for a viable concrete recycling activity if regulations on the waste volume flows are made available.

摘要

随着建筑行业向循环经济模式转变,作为主要废弃物(按体积计)的矿物建筑材料的作用至关重要。对这种矿物存量以及由此产生的废物进行特征描述,对于确保循环经济最佳实践的应用具有决定性意义。本文描述了一种通过地理空间和图像分析相结合来评估矿物建筑存量的方法。通过分析旧的地形地图,建筑物根据其建筑年代分为不同的类型,并根据这些地图评估建筑和拆除活动。评估了矿物存量,并针对不同的随机情况生成了矿物建筑和拆除废物(CDW)的估计值。本文以卢森堡为例进行了应用。结果表明,卢森堡的总矿物建筑存量为 276.75Mt,在过去 30 年中以 20.81%-24.39%的速度增长。此外,研究还确定了城市建筑存量的平均年龄约为 60 年,典型的最大建筑寿命为 122 年。基于随机预测,到 2100 年,现有建筑存量产生的矿物 CDW 预计高达 226.9Mt,而如果考虑未来的建筑情景,其可能高达 885.3Mt。如果能够提供有关废物体积流量的法规,预计每年的 CDW 产量足以支持可行的混凝土回收活动。

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